2025-08-14T20:54:39.0006790Z Current runner version: '2.327.1'
2025-08-14T20:54:39.0010540Z Runner name: 'i-04dd1b1f296f1cb17'
2025-08-14T20:54:39.0010980Z Runner group name: 'default'
2025-08-14T20:54:39.0011510Z Machine name: 'ip-10-0-1-230'
2025-08-14T20:54:39.0013100Z ##[group]GITHUB_TOKEN Permissions
2025-08-14T20:54:39.0014300Z Contents: read
2025-08-14T20:54:39.0014630Z Metadata: read
2025-08-14T20:54:39.0014940Z ##[endgroup]
2025-08-14T20:54:39.0016130Z Secret source: Actions
2025-08-14T20:54:39.0016500Z Prepare workflow directory
2025-08-14T20:54:39.0641180Z Prepare all required actions
2025-08-14T20:54:39.0667410Z Getting action download info
2025-08-14T20:54:39.2437040Z Download action repository 'pytorch/test-infra@main' (SHA:83f58f391e939c10dcb8cb6d745e4cefa3b98a84)
2025-08-14T20:54:39.8982600Z Download action repository 'pytorch/pytorch@main' (SHA:4a90dc0c1f68d1f98832b169f792ed1bb195a0f3)
2025-08-14T20:54:45.1327250Z Getting action download info
2025-08-14T20:54:45.2651740Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-08-14T20:54:45.5406980Z Getting action download info
2025-08-14T20:54:45.6823240Z Uses: pytorch/pytorch/.github/workflows/_mac-test.yml@refs/heads/main (1fc683cf17c8c673044538d10266c00f92987be2)
2025-08-14T20:54:45.6826370Z ##[group] Inputs
2025-08-14T20:54:45.6826640Z   build-environment: macos-py3-arm64
2025-08-14T20:54:45.6827800Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-14T20:54:45.6828850Z   sync-tag: 
2025-08-14T20:54:45.6829060Z   python-version: 3.12.7
2025-08-14T20:54:45.6829720Z   timeout-minutes: 270
2025-08-14T20:54:45.6830180Z   disable-monitor: false
2025-08-14T20:54:45.6830470Z   monitor-log-interval: 5
2025-08-14T20:54:45.6830740Z   monitor-data-collect-interval: 1
2025-08-14T20:54:45.6831020Z ##[endgroup]
2025-08-14T20:54:45.6831330Z Complete job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:54:45.7096120Z ##[group]Run sysctl machdep.cpu.brand_string kern.osproductversion
2025-08-14T20:54:45.7096510Z sysctl machdep.cpu.brand_string kern.osproductversion
2025-08-14T20:54:45.7112380Z shell: /bin/bash -e -l {0}
2025-08-14T20:54:45.7112660Z env:
2025-08-14T20:54:45.7112800Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:45.7112990Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:45.7113170Z   TEST_CONFIG: default
2025-08-14T20:54:45.7113320Z   SHARD_NUMBER: 1
2025-08-14T20:54:45.7113460Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:45.7113600Z   PR_BODY: 
2025-08-14T20:54:45.7113730Z ##[endgroup]
2025-08-14T20:54:46.2369000Z machdep.cpu.brand_string: Apple M1
2025-08-14T20:54:46.2369310Z kern.osproductversion: 14.4.1
2025-08-14T20:54:46.2415410Z ##[group]Run for PROCESS in "python" "conda" "ninja" "clang"; do
2025-08-14T20:54:46.2415790Z for PROCESS in "python" "conda" "ninja" "clang"; do
2025-08-14T20:54:46.2416090Z   echo "Cleaning up all remaining ${PROCESS} process"
2025-08-14T20:54:46.2416340Z   pkill "${PROCESS}" || true
2025-08-14T20:54:46.2416530Z done
2025-08-14T20:54:46.2431090Z shell: /bin/bash -e -l {0}
2025-08-14T20:54:46.2431260Z env:
2025-08-14T20:54:46.2431450Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:46.2431650Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:46.2431850Z   TEST_CONFIG: default
2025-08-14T20:54:46.2432020Z   SHARD_NUMBER: 1
2025-08-14T20:54:46.2432170Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:46.2432320Z   PR_BODY: 
2025-08-14T20:54:46.2432470Z ##[endgroup]
2025-08-14T20:54:46.7949520Z Cleaning up all remaining python process
2025-08-14T20:54:46.8026340Z Cleaning up all remaining conda process
2025-08-14T20:54:46.8067110Z Cleaning up all remaining ninja process
2025-08-14T20:54:46.8106420Z Cleaning up all remaining clang process
2025-08-14T20:54:46.8170340Z ##[group]Run if brew list miniconda; then
2025-08-14T20:54:46.8170580Z if brew list miniconda; then
2025-08-14T20:54:46.8170770Z   brew uninstall miniconda
2025-08-14T20:54:46.8171010Z   echo "REINSTALL_BREW_MINICONDA=1" >> "${GITHUB_ENV}"
2025-08-14T20:54:46.8171240Z fi
2025-08-14T20:54:46.8185340Z shell: /bin/bash -e -l {0}
2025-08-14T20:54:46.8185510Z env:
2025-08-14T20:54:46.8185640Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:46.8185800Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:46.8185990Z   TEST_CONFIG: default
2025-08-14T20:54:46.8186140Z   SHARD_NUMBER: 1
2025-08-14T20:54:46.8186300Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:46.8186450Z   PR_BODY: 
2025-08-14T20:54:46.8186570Z ##[endgroup]
2025-08-14T20:54:48.3423300Z /opt/homebrew/Caskroom/miniconda/py313_25.5.1-1/Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-08-14T20:54:48.3423930Z /opt/homebrew/Caskroom/miniconda/.metadata/INSTALL_RECEIPT.json
2025-08-14T20:54:48.3424470Z /opt/homebrew/Caskroom/miniconda/.metadata/py313_25.5.1-1/20250814181346.563/Casks/miniconda.json
2025-08-14T20:54:48.3424880Z /opt/homebrew/Caskroom/miniconda/.metadata/config.json
2025-08-14T20:54:48.3425250Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_limit.3
2025-08-14T20:54:48.3425850Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2syntax.3
2025-08-14T20:54:48.3426530Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2jit.3
2025-08-14T20:54:48.3427040Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2demo.3
2025-08-14T20:54:48.3427570Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_offset_limit.3
2025-08-14T20:54:48.3428260Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_create.3
2025-08-14T20:54:48.3428840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2serialize.3
2025-08-14T20:54:48.3429480Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_bsr.3
2025-08-14T20:54:48.3430130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2unicode.3
2025-08-14T20:54:48.3430850Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_bynumber.3
2025-08-14T20:54:48.3431580Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_byname.3
2025-08-14T20:54:48.3432110Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2api.3
2025-08-14T20:54:48.3432880Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_parens_nest_limit.3
2025-08-14T20:54:48.3433550Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_startchar.3
2025-08-14T20:54:48.3434090Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2limits.3
2025-08-14T20:54:48.3435000Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_memory_management.3
2025-08-14T20:54:48.3435630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_newline.3
2025-08-14T20:54:48.3436310Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_depth_limit.3
2025-08-14T20:54:48.3436960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_free.3
2025-08-14T20:54:48.3437760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_free.3
2025-08-14T20:54:48.3438490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_max_pattern_length.3
2025-08-14T20:54:48.3439140Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2matching.3
2025-08-14T20:54:48.3439770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_free.3
2025-08-14T20:54:48.3440400Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_callout.3
2025-08-14T20:54:48.3441170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy_with_tables.3
2025-08-14T20:54:48.3441840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_escape.3
2025-08-14T20:54:48.3442700Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_extra_options.3
2025-08-14T20:54:48.3443170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2.3
2025-08-14T20:54:48.3443780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2perform.3
2025-08-14T20:54:48.3445680Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_info.3
2025-08-14T20:54:48.3446130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_substitute_callout.3
2025-08-14T20:54:48.3446550Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_create.3
2025-08-14T20:54:48.3446900Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2build.3
2025-08-14T20:54:48.3447300Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_byname.3
2025-08-14T20:54:48.3448000Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_free.3
2025-08-14T20:54:48.3448620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_dfa_match.3
2025-08-14T20:54:48.3449190Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2convert.3
2025-08-14T20:54:48.3449860Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_match.3
2025-08-14T20:54:48.3450640Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_nametable_scan.3
2025-08-14T20:54:48.3451240Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match.3
2025-08-14T20:54:48.3451950Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_converted_pattern_free.3
2025-08-14T20:54:48.3452610Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_heap_limit.3
2025-08-14T20:54:48.3453420Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_number_from_name.3
2025-08-14T20:54:48.3454070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_convert.3
2025-08-14T20:54:48.3454720Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables.3
2025-08-14T20:54:48.3455450Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_free.3
2025-08-14T20:54:48.3456040Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_free.3
2025-08-14T20:54:48.3456740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_compile.3
2025-08-14T20:54:48.3457290Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile.3
2025-08-14T20:54:48.3458070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_pointer.3
2025-08-14T20:54:48.3458780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_get.3
2025-08-14T20:54:48.3459500Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_free.3
2025-08-14T20:54:48.3460240Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_match_data_size.3
2025-08-14T20:54:48.3461000Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_copy.3
2025-08-14T20:54:48.3461740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_character_tables.3
2025-08-14T20:54:48.3462420Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_error_message.3
2025-08-14T20:54:48.3463240Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_create.3
2025-08-14T20:54:48.3463930Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_separator.3
2025-08-14T20:54:48.3464570Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables_free.3
2025-08-14T20:54:48.3465320Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_free.3
2025-08-14T20:54:48.3478740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_decode.3
2025-08-14T20:54:48.3479220Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_copy.3
2025-08-14T20:54:48.3479600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy.3
2025-08-14T20:54:48.3480050Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2compat.3
2025-08-14T20:54:48.3480460Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create_from_pattern.3
2025-08-14T20:54:48.3480880Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_match_limit.3
2025-08-14T20:54:48.3481260Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_copy.3
2025-08-14T20:54:48.3481650Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_encode.3
2025-08-14T20:54:48.3482010Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substitute.3
2025-08-14T20:54:48.3482370Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_count.3
2025-08-14T20:54:48.3483430Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_mark.3
2025-08-14T20:54:48.3483830Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_assign.3
2025-08-14T20:54:48.3484230Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_free.3
2025-08-14T20:54:48.3484600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2callout.3
2025-08-14T20:54:48.3484960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create.3
2025-08-14T20:54:48.3485350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_byname.3
2025-08-14T20:54:48.3485760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_bynumber.3
2025-08-14T20:54:48.3486130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2sample.3
2025-08-14T20:54:48.3486510Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_bynumber.3
2025-08-14T20:54:48.3486880Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2partial.3
2025-08-14T20:54:48.3487220Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2posix.3
2025-08-14T20:54:48.3487600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_create.3
2025-08-14T20:54:48.3488030Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_copy.3
2025-08-14T20:54:48.3488410Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_config.3
2025-08-14T20:54:48.3488820Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_recursion_guard.3
2025-08-14T20:54:48.3489280Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_get_number_of_codes.3
2025-08-14T20:54:48.3489740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_create.3
2025-08-14T20:54:48.3490170Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_free_unused_memory.3
2025-08-14T20:54:48.3490590Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_callout_enumerate.3
2025-08-14T20:54:48.3490980Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_free.3
2025-08-14T20:54:48.3491350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2pattern.3
2025-08-14T20:54:48.3491680Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzegrep.1
2025-08-14T20:54:48.3491980Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzmore.1
2025-08-14T20:54:48.3492290Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzdiff.1
2025-08-14T20:54:48.3492590Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzfgrep.1
2025-08-14T20:54:48.3492870Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzip2.1
2025-08-14T20:54:48.3493160Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2grep.1
2025-08-14T20:54:48.3493470Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzcmp.1
2025-08-14T20:54:48.3493760Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2test.1
2025-08-14T20:54:48.3494050Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzgrep.1
2025-08-14T20:54:48.3494350Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2-config.1
2025-08-14T20:54:48.3494650Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzless.1
2025-08-14T20:54:48.3495290Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/conda-libmamba-solver-25.4.0-pyhd3eb1b0_0.json
2025-08-14T20:54:48.3496040Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pygments-2.19.1-py313hca03da5_0.json
2025-08-14T20:54:48.3496790Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/nlohmann_json-3.11.2-h313beb8_0.json
2025-08-14T20:54:48.3497470Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/fmt-9.1.0-h48ca7d4_1.json
2025-08-14T20:54:48.3498240Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/tzdata-2025b-h04d1e81_0.json
2025-08-14T20:54:48.3499080Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/libedit-3.1.20230828-h80987f9_0.json
2025-08-14T20:54:48.3499980Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/cryptography-45.0.3-py313h47897c2_0.json
2025-08-14T20:54:48.3500740Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/libmamba-2.0.5-h15e39b3_1.json
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2025-08-14T20:54:48.3866570Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlwriter.h
2025-08-14T20:54:48.3867300Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmemory.h
2025-08-14T20:54:48.3868070Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpathInternals.h
2025-08-14T20:54:48.3868720Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanoftp.h
2025-08-14T20:54:48.3869360Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/hash.h
2025-08-14T20:54:48.3870110Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemas.h
2025-08-14T20:54:48.3870580Z /opt/homebrew/Caskroom/miniconda/base/include/profile.h
2025-08-14T20:54:48.3871310Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2ver.h
2025-08-14T20:54:48.3872010Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2.h
2025-08-14T20:54:48.3872830Z /opt/homebrew/Caskroom/miniconda/base/include/pqStubs.h
2025-08-14T20:54:48.3873120Z /opt/homebrew/Caskroom/miniconda/base/include/tclOODecls.h
2025-08-14T20:54:48.3873510Z /opt/homebrew/Caskroom/miniconda/base/include/zdict.h
2025-08-14T20:54:48.3874040Z /opt/homebrew/Caskroom/miniconda/base/include/cursesf.h
2025-08-14T20:54:48.3874760Z /opt/homebrew/Caskroom/miniconda/base/include/itclTclIntStubsFcn.h
2025-08-14T20:54:48.3875310Z /opt/homebrew/Caskroom/miniconda/base/include/ares_version.h
2025-08-14T20:54:48.3876100Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/termcap.h
2025-08-14T20:54:48.3876720Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesp.h
2025-08-14T20:54:48.3877340Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesf.h
2025-08-14T20:54:48.3877970Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/etip.h
2025-08-14T20:54:48.3878530Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/form.h
2025-08-14T20:54:48.3879170Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesw.h
2025-08-14T20:54:48.3879820Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/nc_tparm.h
2025-08-14T20:54:48.3880410Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/unctrl.h
2025-08-14T20:54:48.3881050Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesapp.h
2025-08-14T20:54:48.3881650Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term.h
2025-08-14T20:54:48.3882300Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursslk.h
2025-08-14T20:54:48.3882980Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/panel.h
2025-08-14T20:54:48.3883720Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses.h
2025-08-14T20:54:48.3884090Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/tic.h
2025-08-14T20:54:48.3884680Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/eti.h
2025-08-14T20:54:48.3885390Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses_dll.h
2025-08-14T20:54:48.3886000Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term_entry.h
2025-08-14T20:54:48.3886590Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/menu.h
2025-08-14T20:54:48.3887200Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesm.h
2025-08-14T20:54:48.3887810Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/curses.h
2025-08-14T20:54:48.3888340Z /opt/homebrew/Caskroom/miniconda/base/include/tclPort.h
2025-08-14T20:54:48.3888840Z /opt/homebrew/Caskroom/miniconda/base/include/etip.h
2025-08-14T20:54:48.3889400Z /opt/homebrew/Caskroom/miniconda/base/include/tkDList.h
2025-08-14T20:54:48.3890070Z /opt/homebrew/Caskroom/miniconda/base/include/itclIntDecls.h
2025-08-14T20:54:48.3890970Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXFont.h
2025-08-14T20:54:48.3891280Z /opt/homebrew/Caskroom/miniconda/base/include/histedit.h
2025-08-14T20:54:48.3891750Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixInt.h
2025-08-14T20:54:48.3892330Z /opt/homebrew/Caskroom/miniconda/base/include/test_data.hpp
2025-08-14T20:54:48.3892970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/translit.h
2025-08-14T20:54:48.3893580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustdio.h
2025-08-14T20:54:48.3894190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf_old.h
2025-08-14T20:54:48.3894800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucsdet.h
2025-08-14T20:54:48.3895410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzfmt.h
2025-08-14T20:54:48.3896000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubrk.h
2025-08-14T20:54:48.3896740Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ufieldpositer.h
2025-08-14T20:54:48.3897420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localematcher.h
2025-08-14T20:54:48.3898040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringpiece.h
2025-08-14T20:54:48.3898600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucat.h
2025-08-14T20:54:48.3899250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tblcoll.h
2025-08-14T20:54:48.3900170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringoptions.h
2025-08-14T20:54:48.3900550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtfmtsym.h
2025-08-14T20:54:48.3901180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unirepl.h
2025-08-14T20:54:48.3901780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ptypes.h
2025-08-14T20:54:48.3902410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fmtable.h
2025-08-14T20:54:48.3903260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvfmt.h
2025-08-14T20:54:48.3903680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/choicfmt.h
2025-08-14T20:54:48.3904470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberrangeformatter.h
2025-08-14T20:54:48.3905240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberrangeformatter.h
2025-08-14T20:54:48.3905820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usetiter.h
2025-08-14T20:54:48.3906460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/errorcode.h
2025-08-14T20:54:48.3907080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tznames.h
2025-08-14T20:54:48.3907690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtintrv.h
2025-08-14T20:54:48.3908510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usimplenumberformatter.h
2025-08-14T20:54:48.3909300Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucurr.h
2025-08-14T20:54:48.3909750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icuplug.h
2025-08-14T20:54:48.3910330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregion.h
2025-08-14T20:54:48.3910910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utext.h
2025-08-14T20:54:48.3911520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/edits.h
2025-08-14T20:54:48.3912160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parsepos.h
2025-08-14T20:54:48.3912770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucal.h
2025-08-14T20:54:48.3913410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fpositer.h
2025-08-14T20:54:48.3914010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvinf.h
2025-08-14T20:54:48.3914590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbnf.h
2025-08-14T20:54:48.3915170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udat.h
2025-08-14T20:54:48.3915780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urep.h
2025-08-14T20:54:48.3916390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf32.h
2025-08-14T20:54:48.3917000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/vtzone.h
2025-08-14T20:54:48.3917640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustring.h
2025-08-14T20:54:48.3918330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubiditransform.h
2025-08-14T20:54:48.3918910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uenum.h
2025-08-14T20:54:48.3919620Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umutablecptrie.h
2025-08-14T20:54:48.3920250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/appendable.h
2025-08-14T20:54:48.3920870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usearch.h
2025-08-14T20:54:48.3921470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numsys.h
2025-08-14T20:54:48.3922120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/timezone.h
2025-08-14T20:54:48.3922750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uset.h
2025-08-14T20:54:48.3923350Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/casemap.h
2025-08-14T20:54:48.3923960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coleitr.h
2025-08-14T20:54:48.3924570Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/schriter.h
2025-08-14T20:54:48.3925180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/msgfmt.h
2025-08-14T20:54:48.3925810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fieldpos.h
2025-08-14T20:54:48.3926460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpletz.h
2025-08-14T20:54:48.3927190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucpmap.h
2025-08-14T20:54:48.3927680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uldnames.h
2025-08-14T20:54:48.3928430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberformatter.h
2025-08-14T20:54:48.3928990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uiter.h
2025-08-14T20:54:48.3929570Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umsg.h
2025-08-14T20:54:48.3930660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/sortkey.h
2025-08-14T20:54:48.3931470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simplenumberformatter.h
2025-08-14T20:54:48.3932020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/docmain.h
2025-08-14T20:54:48.3932630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uniset.h
2025-08-14T20:54:48.3933250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/basictz.h
2025-08-14T20:54:48.3933850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udata.h
2025-08-14T20:54:48.3934610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringtriebuilder.h
2025-08-14T20:54:48.3935190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/chariter.h
2025-08-14T20:54:48.3935790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umisc.h
2025-08-14T20:54:48.3936450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/reldatefmt.h
2025-08-14T20:54:48.3937020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uloc.h
2025-08-14T20:54:48.3937650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurrule.h
2025-08-14T20:54:48.3938370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattednumber.h
2025-08-14T20:54:48.3939070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestriebuilder.h
2025-08-14T20:54:48.3939670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measunit.h
2025-08-14T20:54:48.3940280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrace.h
2025-08-14T20:54:48.3940900Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locdspnm.h
2025-08-14T20:54:48.3941540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gregocal.h
2025-08-14T20:54:48.3942240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchriter.h
2025-08-14T20:54:48.3942810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/enumset.h
2025-08-14T20:54:48.3943440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/nounit.h
2025-08-14T20:54:48.3944010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf.h
2025-08-14T20:54:48.3944640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measure.h
2025-08-14T20:54:48.3945250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzrule.h
2025-08-14T20:54:48.3945860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/strenum.h
2025-08-14T20:54:48.3946470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/regex.h
2025-08-14T20:54:48.3947070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gender.h
2025-08-14T20:54:48.3947770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dcfmtsym.h
2025-08-14T20:54:48.3948540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_err.h
2025-08-14T20:54:48.3949040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/decimfmt.h
2025-08-14T20:54:48.3949920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestrie.h
2025-08-14T20:54:48.3950540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udatpg.h
2025-08-14T20:54:48.3951210Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/listformatter.h
2025-08-14T20:54:48.3951830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uobject.h
2025-08-14T20:54:48.3952450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/calendar.h
2025-08-14T20:54:48.3953030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ures.h
2025-08-14T20:54:48.3953640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normlzr.h
2025-08-14T20:54:48.3954260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usprep.h
2025-08-14T20:54:48.3954870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urename.h
2025-08-14T20:54:48.3956270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/caniter.h
2025-08-14T20:54:48.3956600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucol.h
2025-08-14T20:54:48.3957010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/upluralrules.h
2025-08-14T20:54:48.3958070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstrie.h
2025-08-14T20:54:48.3958420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmunit.h
2025-08-14T20:54:48.3958750Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unistr.h
2025-08-14T20:54:48.3959270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbbi.h
2025-08-14T20:54:48.3960030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulocdata.h
2025-08-14T20:54:48.3960500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/idna.h
2025-08-14T20:54:48.3961080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm2.h
2025-08-14T20:54:48.3961810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localebuilder.h
2025-08-14T20:54:48.3962420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtptngen.h
2025-08-14T20:54:48.3962990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dbbi.h
2025-08-14T20:54:48.3963640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestream.h
2025-08-14T20:54:48.3964270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uversion.h
2025-08-14T20:54:48.3965000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/messagepattern.h
2025-08-14T20:54:48.3966010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uidna.h
2025-08-14T20:54:48.3966610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/filteredbrk.h
2025-08-14T20:54:48.3966960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutamt.h
2025-08-14T20:54:48.3967540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/char16ptr.h
2025-08-14T20:54:48.3968410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattedvalue.h
2025-08-14T20:54:48.3968890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/symtable.h
2025-08-14T20:54:48.3969540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucasemap.h
2025-08-14T20:54:48.3970140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucoleitr.h
2025-08-14T20:54:48.3970920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/compactdecimalformat.h
2025-08-14T20:54:48.3971490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unum.h
2025-08-14T20:54:48.3986550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplaycontext.h
2025-08-14T20:54:48.3986960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tztrans.h
2025-08-14T20:54:48.3987300Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umachine.h
2025-08-14T20:54:48.3987680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberformatter.h
2025-08-14T20:54:48.3988060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/datefmt.h
2025-08-14T20:54:48.3988400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utmscale.h
2025-08-14T20:54:48.3988730Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coll.h
2025-08-14T20:54:48.3989080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currpinf.h
2025-08-14T20:54:48.3989420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregex.h
2025-08-14T20:54:48.3989760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutfmt.h
2025-08-14T20:54:48.3990110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurfmt.h
2025-08-14T20:54:48.3990470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustringtrie.h
2025-08-14T20:54:48.3990820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/smpdtfmt.h
2025-08-14T20:54:48.3991160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucptrie.h
2025-08-14T20:54:48.3991530Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplayoptions.h
2025-08-14T20:54:48.3991920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icudataver.h
2025-08-14T20:54:48.3992280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchar.h
2025-08-14T20:54:48.3993470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm.h
2025-08-14T20:54:48.3993850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ushape.h
2025-08-14T20:54:48.3994190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifunct.h
2025-08-14T20:54:48.3994540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ugender.h
2025-08-14T20:54:48.3994890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/selfmt.h
2025-08-14T20:54:48.3995240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattable.h
2025-08-14T20:54:48.3995610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustream.h
2025-08-14T20:54:48.3995980Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpleformatter.h
2025-08-14T20:54:48.3996370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_cb.h
2025-08-14T20:54:48.3996700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/curramt.h
2025-08-14T20:54:48.3997050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locid.h
2025-08-14T20:54:48.3997430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udateintervalformat.h
2025-08-14T20:54:48.3997820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/resbund.h
2025-08-14T20:54:48.3998160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubidi.h
2025-08-14T20:54:48.3998490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stsearch.h
2025-08-14T20:54:48.3998840Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/alphaindex.h
2025-08-14T20:54:48.3999230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uvernum.h
2025-08-14T20:54:48.3999580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unimatch.h
2025-08-14T20:54:48.3999920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbtz.h
2025-08-14T20:54:48.4000240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnvsel.h
2025-08-14T20:54:48.4000580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uspoof.h
2025-08-14T20:54:48.4000930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/region.h
2025-08-14T20:54:48.4001290Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ureldatefmt.h
2025-08-14T20:54:48.4001970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrans.h
2025-08-14T20:54:48.4002980Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parseerr.h
2025-08-14T20:54:48.4003700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/putil.h
2025-08-14T20:54:48.4004520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/format.h
2025-08-14T20:54:48.4005670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/scientificnumberformatter.h
2025-08-14T20:54:48.4006700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/displayoptions.h
2025-08-14T20:54:48.4007610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normalizer2.h
2025-08-14T20:54:48.4008420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtrule.h
2025-08-14T20:54:48.4009380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberoptions.h
2025-08-14T20:54:48.4010110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv.h
2025-08-14T20:54:48.4011110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstriebuilder.h
2025-08-14T20:54:48.4011920Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/search.h
2025-08-14T20:54:48.4012810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumsys.h
2025-08-14T20:54:48.4013610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uconfig.h
2025-08-14T20:54:48.4014310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf16.h
2025-08-14T20:54:48.4015030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/brkiter.h
2025-08-14T20:54:48.4016090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattedvalue.h
2025-08-14T20:54:48.4016690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/platform.h
2025-08-14T20:54:48.4017390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rep.h
2025-08-14T20:54:48.4018370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattednumber.h
2025-08-14T20:54:48.4019380Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/std_string.h
2025-08-14T20:54:48.4020370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf8.h
2025-08-14T20:54:48.4021190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localpointer.h
2025-08-14T20:54:48.4021950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uclean.h
2025-08-14T20:54:48.4022990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uscript.h
2025-08-14T20:54:48.4023820Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numfmt.h
2025-08-14T20:54:48.4024600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currunit.h
2025-08-14T20:54:48.4025420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utypes.h
2025-08-14T20:54:48.4026350Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulistformatter.h
2025-08-14T20:54:48.4027040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measfmt.h
2025-08-14T20:54:48.4027860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifilt.h
2025-08-14T20:54:48.4028540Z /opt/homebrew/Caskroom/miniconda/base/include/form.h
2025-08-14T20:54:48.4029260Z /opt/homebrew/Caskroom/miniconda/base/include/tclUnixPort.h
2025-08-14T20:54:48.4030170Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/export.hpp
2025-08-14T20:54:48.4031190Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/reproc.hpp
2025-08-14T20:54:48.4031920Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/env.hpp
2025-08-14T20:54:48.4032980Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/array.hpp
2025-08-14T20:54:48.4033940Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/type_traits.hpp
2025-08-14T20:54:48.4034660Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/run.hpp
2025-08-14T20:54:48.4035560Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/input.hpp
2025-08-14T20:54:48.4036410Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/arguments.hpp
2025-08-14T20:54:48.4037160Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/drain.hpp
2025-08-14T20:54:48.4037860Z /opt/homebrew/Caskroom/miniconda/base/include/tcl.h
2025-08-14T20:54:48.4039050Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/chpass_util_strings.h
2025-08-14T20:54:48.4039820Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/kadm_err.h
2025-08-14T20:54:48.4040650Z /opt/homebrew/Caskroom/miniconda/base/include/kadm5/admin.h
2025-08-14T20:54:48.4041640Z /opt/homebrew/Caskroom/miniconda/base/include/itclMigrate2TclCore.h
2025-08-14T20:54:48.4042340Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ostream.h
2025-08-14T20:54:48.4043310Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format-inl.h
2025-08-14T20:54:48.4044020Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ranges.h
2025-08-14T20:54:48.4044680Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/xchar.h
2025-08-14T20:54:48.4045570Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/core.h
2025-08-14T20:54:48.4046210Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/chrono.h
2025-08-14T20:54:48.4046830Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/os.h
2025-08-14T20:54:48.4047580Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/color.h
2025-08-14T20:54:48.4048350Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/args.h
2025-08-14T20:54:48.4049170Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/printf.h
2025-08-14T20:54:48.4049960Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/compile.h
2025-08-14T20:54:48.4050800Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format.h
2025-08-14T20:54:48.4051270Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/std.h
2025-08-14T20:54:48.4052210Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2posix.h
2025-08-14T20:54:48.4052670Z /opt/homebrew/Caskroom/miniconda/base/include/cursesw.h
2025-08-14T20:54:48.4053250Z /opt/homebrew/Caskroom/miniconda/base/include/itcl.h
2025-08-14T20:54:48.4054070Z /opt/homebrew/Caskroom/miniconda/base/include/ares_build.h
2025-08-14T20:54:48.4054790Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntDecls.h
2025-08-14T20:54:48.4055510Z /opt/homebrew/Caskroom/miniconda/base/include/nc_tparm.h
2025-08-14T20:54:48.4056550Z /opt/homebrew/Caskroom/miniconda/base/include/lz4.h
2025-08-14T20:54:48.4056920Z /opt/homebrew/Caskroom/miniconda/base/include/com_err.h
2025-08-14T20:54:48.4057850Z /opt/homebrew/Caskroom/miniconda/base/include/readline/readline.h
2025-08-14T20:54:48.4058800Z /opt/homebrew/Caskroom/miniconda/base/include/readline/keymaps.h
2025-08-14T20:54:48.4059610Z /opt/homebrew/Caskroom/miniconda/base/include/readline/tilde.h
2025-08-14T20:54:48.4060340Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlconf.h
2025-08-14T20:54:48.4061200Z /opt/homebrew/Caskroom/miniconda/base/include/readline/chardefs.h
2025-08-14T20:54:48.4061990Z /opt/homebrew/Caskroom/miniconda/base/include/readline/history.h
2025-08-14T20:54:48.4062810Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlstdc.h
2025-08-14T20:54:48.4063600Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rltypedefs.h
2025-08-14T20:54:48.4064710Z /opt/homebrew/Caskroom/miniconda/base/include/tkImgPhoto.h
2025-08-14T20:54:48.4065100Z /opt/homebrew/Caskroom/miniconda/base/include/verto-module.h
2025-08-14T20:54:48.4065770Z /opt/homebrew/Caskroom/miniconda/base/include/bzlib.h
2025-08-14T20:54:48.4066620Z /opt/homebrew/Caskroom/miniconda/base/include/localcharset.h
2025-08-14T20:54:48.4067160Z /opt/homebrew/Caskroom/miniconda/base/include/ares.h
2025-08-14T20:54:48.4068080Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/activation.hpp
2025-08-14T20:54:48.4069120Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/environments_manager.hpp
2025-08-14T20:54:48.4070060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction.hpp
2025-08-14T20:54:48.4071050Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_handling.hpp
2025-08-14T20:54:48.4071860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/invoke.hpp
2025-08-14T20:54:48.4072700Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/prefix_data.hpp
2025-08-14T20:54:48.4073760Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/common_types.hpp
2025-08-14T20:54:48.4074660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/palette.hpp
2025-08-14T20:54:48.4075460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/link.hpp
2025-08-14T20:54:48.4076530Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/error_handling.hpp
2025-08-14T20:54:48.4077310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/repo_checker_store.hpp
2025-08-14T20:54:48.4078030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_fetcher.hpp
2025-08-14T20:54:48.4078660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/execution.hpp
2025-08-14T20:54:48.4079430Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/subdirdata.hpp
2025-08-14T20:54:48.4080100Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/shell_init.hpp
2025-08-14T20:54:48.4080770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/fsutil.hpp
2025-08-14T20:54:48.4081520Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/channel_context.hpp
2025-08-14T20:54:48.4082220Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/env_lockfile.hpp
2025-08-14T20:54:48.4082890Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_scope.hpp
2025-08-14T20:54:48.4083730Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction_context.hpp
2025-08-14T20:54:48.4084530Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/download_progress_bar.hpp
2025-08-14T20:54:48.4085150Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/context.hpp
2025-08-14T20:54:48.4085800Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/timeref.hpp
2025-08-14T20:54:48.4086460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_os.hpp
2025-08-14T20:54:48.4087170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/tasksync.hpp
2025-08-14T20:54:48.4087840Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/history.hpp
2025-08-14T20:54:48.4088600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/progress_bar.hpp
2025-08-14T20:54:48.4089150Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/run.hpp
2025-08-14T20:54:48.4089890Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_paths.hpp
2025-08-14T20:54:48.4090760Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_database_loader.hpp
2025-08-14T20:54:48.4091470Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/virtual_packages.hpp
2025-08-14T20:54:48.4092210Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/thread_utils.hpp
2025-08-14T20:54:48.4092840Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/output.hpp
2025-08-14T20:54:48.4093600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_cache.hpp
2025-08-14T20:54:48.4094260Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/pinning.hpp
2025-08-14T20:54:48.4094920Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/query.hpp
2025-08-14T20:54:48.4095580Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util.hpp
2025-08-14T20:54:48.4096290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/menuinst.hpp
2025-08-14T20:54:48.4096890Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cast.hpp
2025-08-14T20:54:48.4097530Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_unix.hpp
2025-08-14T20:54:48.4098270Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cryptography.hpp
2025-08-14T20:54:48.4098900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/build.hpp
2025-08-14T20:54:48.4099540Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/json.hpp
2025-08-14T20:54:48.4100190Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_osx.hpp
2025-08-14T20:54:48.4100930Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/weakening_map.hpp
2025-08-14T20:54:48.4101630Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/path_manip.hpp
2025-08-14T20:54:48.4102390Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_binary_tree.hpp
2025-08-14T20:54:48.4103070Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/variant_cmp.hpp
2025-08-14T20:54:48.4103730Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/encoding.hpp
2025-08-14T20:54:48.4104430Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/functional.hpp
2025-08-14T20:54:48.4105230Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_bool_expr_tree.hpp
2025-08-14T20:54:48.4105900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/type_traits.hpp
2025-08-14T20:54:48.4106590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/random.hpp
2025-08-14T20:54:48.4107320Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_linux.hpp
2025-08-14T20:54:48.4108020Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/heap_optional.hpp
2025-08-14T20:54:48.4108620Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/graph.hpp
2025-08-14T20:54:48.4109360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/loop_control.hpp
2025-08-14T20:54:48.4109950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url.hpp
2025-08-14T20:54:48.4110600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_win.hpp
2025-08-14T20:54:48.4111300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url_manip.hpp
2025-08-14T20:54:48.4111950Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/string.hpp
2025-08-14T20:54:48.4112660Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/deprecation.hpp
2025-08-14T20:54:48.4113330Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/parsers.hpp
2025-08-14T20:54:48.4113990Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cfile.hpp
2025-08-14T20:54:48.4114600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os.hpp
2025-08-14T20:54:48.4115320Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/conditional.hpp
2025-08-14T20:54:48.4116000Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_set.hpp
2025-08-14T20:54:48.4116730Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/compare.hpp
2025-08-14T20:54:48.4117350Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/iterator.hpp
2025-08-14T20:54:48.4118060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/environment.hpp
2025-08-14T20:54:48.4118780Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/tuple_hash.hpp
2025-08-14T20:54:48.4119500Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/archive.hpp
2025-08-14T20:54:48.4120260Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/package_info.hpp
2025-08-14T20:54:48.4120970Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/match_spec.hpp
2025-08-14T20:54:48.4121640Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/glob_spec.hpp
2025-08-14T20:54:48.4122310Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/repo_data.hpp
2025-08-14T20:54:48.4123060Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/regex_spec.hpp
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2025-08-14T20:54:48.4330660Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley.hpp
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2025-08-14T20:54:48.4332730Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/rpc_msg.h
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2025-08-14T20:54:48.4335190Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/svc.h
2025-08-14T20:54:48.4335730Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/clnt.h
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2025-08-14T20:54:48.4340570Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/pmap_clnt.h
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2025-08-14T20:54:48.4341900Z /opt/homebrew/Caskroom/miniconda/base/include/gssrpc/pmap_rmt.h
2025-08-14T20:54:48.4342260Z /opt/homebrew/Caskroom/miniconda/base/include/eti.h
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2025-08-14T20:54:48.4343980Z /opt/homebrew/Caskroom/miniconda/base/include/tkButton.h
2025-08-14T20:54:48.4344560Z /opt/homebrew/Caskroom/miniconda/base/include/tkScrollbar.h
2025-08-14T20:54:48.4345160Z /opt/homebrew/Caskroom/miniconda/base/include/term_entry.h
2025-08-14T20:54:48.4345630Z /opt/homebrew/Caskroom/miniconda/base/include/menu.h
2025-08-14T20:54:48.4346230Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2.h
2025-08-14T20:54:48.4346750Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSX.h
2025-08-14T20:54:48.4347440Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3.h
2025-08-14T20:54:48.4347900Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOIntDecls.h
2025-08-14T20:54:48.4348500Z /opt/homebrew/Caskroom/miniconda/base/include/zstd_errors.h
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2025-08-14T20:54:48.4353070Z /opt/homebrew/Caskroom/miniconda/base/include/X11/cursorfont.h
2025-08-14T20:54:48.4353670Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Sunkeysym.h
2025-08-14T20:54:48.4354310Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xfuncproto.h
2025-08-14T20:54:48.4354910Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysymdef.h
2025-08-14T20:54:48.4355500Z /opt/homebrew/Caskroom/miniconda/base/include/X11/HPkeysym.h
2025-08-14T20:54:48.4356050Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysym.h
2025-08-14T20:54:48.4356680Z /opt/homebrew/Caskroom/miniconda/base/include/X11/XF86keysym.h
2025-08-14T20:54:48.4357220Z /opt/homebrew/Caskroom/miniconda/base/include/X11/X.h
2025-08-14T20:54:48.4357790Z /opt/homebrew/Caskroom/miniconda/base/include/X11/xbytes.h
2025-08-14T20:54:48.4358450Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMathDecls.h
2025-08-14T20:54:48.4358990Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMath.h
2025-08-14T20:54:48.4359780Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_generic.h
2025-08-14T20:54:48.4360620Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/mechglue.h
2025-08-14T20:54:48.4361030Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_krb5.h
2025-08-14T20:54:48.4361680Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_alloc.h
2025-08-14T20:54:48.4362240Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi.h
2025-08-14T20:54:48.4362890Z /opt/homebrew/Caskroom/miniconda/base/include/gssapi/gssapi_ext.h
2025-08-14T20:54:48.4363460Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXInt.h
2025-08-14T20:54:48.4364090Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXCursors.h
2025-08-14T20:54:48.4364740Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXConstants.h
2025-08-14T20:54:48.4365220Z /opt/homebrew/Caskroom/miniconda/base/include/ev.h
2025-08-14T20:54:48.4365820Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXEvent.h
2025-08-14T20:54:48.4366350Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame.h
2025-08-14T20:54:48.4366960Z /opt/homebrew/Caskroom/miniconda/base/include/ares_nameser.h
2025-08-14T20:54:48.4367560Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXPort.h
2025-08-14T20:54:48.4368120Z /opt/homebrew/Caskroom/miniconda/base/include/tkCanvas.h
2025-08-14T20:54:48.4368710Z /opt/homebrew/Caskroom/miniconda/base/include/tkArray.h
2025-08-14T20:54:48.4369160Z /opt/homebrew/Caskroom/miniconda/base/include/zstd.h
2025-08-14T20:54:48.4369730Z /opt/homebrew/Caskroom/miniconda/base/include/fakemysql.h
2025-08-14T20:54:48.4370320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem2.h
2025-08-14T20:54:48.4370930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdf.h
2025-08-14T20:54:48.4371520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem.h
2025-08-14T20:54:48.4372170Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asyncerr.h
2025-08-14T20:54:48.4372710Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md2.h
2025-08-14T20:54:48.4373320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl3.h
2025-08-14T20:54:48.4373940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ossl_typ.h
2025-08-14T20:54:48.4374540Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dtls1.h
2025-08-14T20:54:48.4375130Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/err.h
2025-08-14T20:54:48.4375690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bn.h
2025-08-14T20:54:48.4376320Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/blowfish.h
2025-08-14T20:54:48.4376920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cms.h
2025-08-14T20:54:48.4377520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engine.h
2025-08-14T20:54:48.4378130Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf_api.h
2025-08-14T20:54:48.4378750Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/esserr.h
2025-08-14T20:54:48.4379300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core.h
2025-08-14T20:54:48.4379910Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509.h
2025-08-14T20:54:48.4380580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1_mac.h
2025-08-14T20:54:48.4381200Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objectserr.h
2025-08-14T20:54:48.4381800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/params.h
2025-08-14T20:54:48.4382410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmserr.h
2025-08-14T20:54:48.4383050Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/http.h
2025-08-14T20:54:48.4383620Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ui.h
2025-08-14T20:54:48.4384180Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sha.h
2025-08-14T20:54:48.4384820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/symhacks.h
2025-08-14T20:54:48.4385390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1.h
2025-08-14T20:54:48.4386030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bioerr.h
2025-08-14T20:54:48.4386690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslconf.h
2025-08-14T20:54:48.4387250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bio.h
2025-08-14T20:54:48.4387800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc2.h
2025-08-14T20:54:48.4388420Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/types.h
2025-08-14T20:54:48.4389090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dh.h
2025-08-14T20:54:48.4389900Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr_legacy.h
2025-08-14T20:54:48.4390480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/proverr.h
2025-08-14T20:54:48.4391090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3.h
2025-08-14T20:54:48.4391760Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_object.h
2025-08-14T20:54:48.4392420Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decodererr.h
2025-08-14T20:54:48.4393080Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/param_build.h
2025-08-14T20:54:48.4393670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf.h
2025-08-14T20:54:48.4394330Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conftypes.h
2025-08-14T20:54:48.4394920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md5.h
2025-08-14T20:54:48.4395810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decoder.h
2025-08-14T20:54:48.4396260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pemerr.h
2025-08-14T20:54:48.4396790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmferr.h
2025-08-14T20:54:48.4397390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509_vfy.h
2025-08-14T20:54:48.4398010Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/txt_db.h
2025-08-14T20:54:48.4398570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp.h
2025-08-14T20:54:48.4399210Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comperr.h
2025-08-14T20:54:48.4399810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cterr.h
2025-08-14T20:54:48.4400460Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/self_test.h
2025-08-14T20:54:48.4401090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/safestack.h
2025-08-14T20:54:48.4401810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/configuration.h
2025-08-14T20:54:48.4402400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fips_names.h
2025-08-14T20:54:48.4403020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdsa.h
2025-08-14T20:54:48.4403610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr.h
2025-08-14T20:54:48.4404240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/prov_ssl.h
2025-08-14T20:54:48.4404860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fipskey.h
2025-08-14T20:54:48.4405430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc5.h
2025-08-14T20:54:48.4406040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/uierr.h
2025-08-14T20:54:48.4406730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3err.h
2025-08-14T20:54:48.4407380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objects.h
2025-08-14T20:54:48.4407940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12.h
2025-08-14T20:54:48.4408540Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crypto.h
2025-08-14T20:54:48.4409120Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmf.h
2025-08-14T20:54:48.4409770Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp_util.h
2025-08-14T20:54:48.4410400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslv.h
2025-08-14T20:54:48.4411000Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evperr.h
2025-08-14T20:54:48.4411590Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7.h
2025-08-14T20:54:48.4412280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/obj_mac.h
2025-08-14T20:54:48.4412810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ct.h
2025-08-14T20:54:48.4413400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/async.h
2025-08-14T20:54:48.4414020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffer.h
2025-08-14T20:54:48.4414580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl.h
2025-08-14T20:54:48.4415160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srp.h
2025-08-14T20:54:48.4415810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/camellia.h
2025-08-14T20:54:48.4416430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/httperr.h
2025-08-14T20:54:48.4417020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dherr.h
2025-08-14T20:54:48.4417600Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evp.h
2025-08-14T20:54:48.4418300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/e_os2.h
2025-08-14T20:54:48.4418850Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/trace.h
2025-08-14T20:54:48.4419410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md4.h
2025-08-14T20:54:48.4420100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_names.h
2025-08-14T20:54:48.4420660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/hmac.h
2025-08-14T20:54:48.4421300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/provider.h
2025-08-14T20:54:48.4421870Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/aes.h
2025-08-14T20:54:48.4422520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engineerr.h
2025-08-14T20:54:48.4423160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comp.h
2025-08-14T20:54:48.4423710Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/macros.h
2025-08-14T20:54:48.4424510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12err.h
2025-08-14T20:54:48.4424980Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encoder.h
2025-08-14T20:54:48.4425550Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cast.h
2025-08-14T20:54:48.4426270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr_legacy.h
2025-08-14T20:54:48.4426790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc4.h
2025-08-14T20:54:48.4427390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/stack.h
2025-08-14T20:54:48.4427990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/des.h
2025-08-14T20:54:48.4428580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsp.h
2025-08-14T20:54:48.4429130Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ec.h
2025-08-14T20:54:48.4429730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdh.h
2025-08-14T20:54:48.4430340Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rand.h
2025-08-14T20:54:48.4430930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecerr.h
2025-08-14T20:54:48.4431520Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ts.h
2025-08-14T20:54:48.4432220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_dispatch.h
2025-08-14T20:54:48.4432840Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr.h
2025-08-14T20:54:48.4433460Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/storeerr.h
2025-08-14T20:54:48.4434100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffererr.h
2025-08-14T20:54:48.4434660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/seed.h
2025-08-14T20:54:48.4435260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/modes.h
2025-08-14T20:54:48.4435880Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl2.h
2025-08-14T20:54:48.4436470Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tserr.h
2025-08-14T20:54:48.4437060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsa.h
2025-08-14T20:54:48.4437640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ripemd.h
2025-08-14T20:54:48.4438270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/whrlpool.h
2025-08-14T20:54:48.4438920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encodererr.h
2025-08-14T20:54:48.4439530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmperr.h
2025-08-14T20:54:48.4440100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tls1.h
2025-08-14T20:54:48.4440740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsaerr.h
2025-08-14T20:54:48.4441350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/randerr.h
2025-08-14T20:54:48.4441940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/mdc2.h
2025-08-14T20:54:48.4442570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsperr.h
2025-08-14T20:54:48.4447860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509err.h
2025-08-14T20:54:48.4448410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7err.h
2025-08-14T20:54:48.4448940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsa.h
2025-08-14T20:54:48.4449580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdferr.h
2025-08-14T20:54:48.4450140Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srtp.h
2025-08-14T20:54:48.4450750Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1t.h
2025-08-14T20:54:48.4451350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsaerr.h
2025-08-14T20:54:48.4451950Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bnerr.h
2025-08-14T20:54:48.4452580Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conferr.h
2025-08-14T20:54:48.4453150Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmac.h
2025-08-14T20:54:48.4453790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ebcdic.h
2025-08-14T20:54:48.4454410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/store.h
2025-08-14T20:54:48.4455060Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/idea.h
2025-08-14T20:54:48.4455590Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/lhash.h
2025-08-14T20:54:48.4456190Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ess.h
2025-08-14T20:54:48.4456810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1err.h
2025-08-14T20:54:48.4457440Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2_publickey.h
2025-08-14T20:54:48.4457930Z /opt/homebrew/Caskroom/miniconda/base/include/krb5.h
2025-08-14T20:54:48.4458510Z /opt/homebrew/Caskroom/miniconda/base/include/tclDecls.h
2025-08-14T20:54:48.4459130Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntPlatDecls.h
2025-08-14T20:54:48.4459640Z /opt/homebrew/Caskroom/miniconda/base/include/cursesm.h
2025-08-14T20:54:48.4460230Z /opt/homebrew/Caskroom/miniconda/base/include/tkDecls.h
2025-08-14T20:54:48.4460720Z /opt/homebrew/Caskroom/miniconda/base/include/tkBusy.h
2025-08-14T20:54:48.4461320Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index.h
2025-08-14T20:54:48.4461890Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/version.h
2025-08-14T20:54:48.4462540Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index_hash.h
2025-08-14T20:54:48.4463090Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/lzma12.h
2025-08-14T20:54:48.4463720Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/container.h
2025-08-14T20:54:48.4464260Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/delta.h
2025-08-14T20:54:48.4464810Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/vli.h
2025-08-14T20:54:48.4465410Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/check.h
2025-08-14T20:54:48.4465960Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/bcj.h
2025-08-14T20:54:48.4466640Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/stream_flags.h
2025-08-14T20:54:48.4467170Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/block.h
2025-08-14T20:54:48.4467800Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/hardware.h
2025-08-14T20:54:48.4468380Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/filter.h
2025-08-14T20:54:48.4468930Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/base.h
2025-08-14T20:54:48.4473190Z /opt/homebrew/Caskroom/miniconda/base/include/fakesql.h
2025-08-14T20:54:48.4473460Z /opt/homebrew/Caskroom/miniconda/base/include/itclDecls.h
2025-08-14T20:54:48.4473600Z /opt/homebrew/Caskroom/miniconda/base/include/tclPlatDecls.h
2025-08-14T20:54:48.4474190Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXXCursors.h
2025-08-14T20:54:48.4474290Z /opt/homebrew/Caskroom/miniconda/base/include/ffi.h
2025-08-14T20:54:48.4474420Z /opt/homebrew/Caskroom/miniconda/base/include/default.h
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2025-08-14T20:54:48.6476290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.9.23-h99c0cbc_0/lib/python3.9/warnings.py
2025-08-14T20:54:48.6477120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.9.23-h99c0cbc_0/lib/python3.9/subprocess.py
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2025-08-14T20:54:48.6480620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.9.23-h99c0cbc_0/lib/python3.9/filecmp.py
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2025-08-14T20:54:49.0836520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments-2.19.1.dist-info/INSTALLER
2025-08-14T20:54:49.0837240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments-2.19.1.dist-info/METADATA
2025-08-14T20:54:49.0837950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/filters/__init__.py
2025-08-14T20:54:49.0838710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/filters/__pycache__/__init__.cpython-313.pyc
2025-08-14T20:54:49.0839430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/modeline.py
2025-08-14T20:54:49.0840930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/console.py
2025-08-14T20:54:49.0843980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/scanner.py
2025-08-14T20:54:49.0846030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatter.py
2025-08-14T20:54:49.0847810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/soong.py
2025-08-14T20:54:49.0849510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/c_like.py
2025-08-14T20:54:49.0851390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ampl.py
2025-08-14T20:54:49.0852320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/agile.py
2025-08-14T20:54:49.0853970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphics.py
2025-08-14T20:54:49.0855850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hdl.py
2025-08-14T20:54:49.0857270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ecl.py
2025-08-14T20:54:49.0857960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/futhark.py
2025-08-14T20:54:49.0859350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ada.py
2025-08-14T20:54:49.0861780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_postgres_builtins.py
2025-08-14T20:54:49.0862680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/console.py
2025-08-14T20:54:49.0863920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mime.py
2025-08-14T20:54:49.0866010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lua_builtins.py
2025-08-14T20:54:49.0867950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/capnproto.py
2025-08-14T20:54:49.0869540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nimrod.py
2025-08-14T20:54:49.0870340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rebol.py
2025-08-14T20:54:49.0872180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/objective.py
2025-08-14T20:54:49.0873440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sas.py
2025-08-14T20:54:49.0875050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_qlik_builtins.py
2025-08-14T20:54:49.0876450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/phix.py
2025-08-14T20:54:49.0877810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphql.py
2025-08-14T20:54:49.0879320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/usd.py
2025-08-14T20:54:49.0880670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/crystal.py
2025-08-14T20:54:49.0882230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/verifpal.py
2025-08-14T20:54:49.0883820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_sourcemod_builtins.py
2025-08-14T20:54:49.0885950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/web.py
2025-08-14T20:54:49.0887200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ldap.py
2025-08-14T20:54:49.0888720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/verification.py
2025-08-14T20:54:49.0890460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/erlang.py
2025-08-14T20:54:49.0892140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/apdlexer.py
2025-08-14T20:54:49.0893750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/slash.py
2025-08-14T20:54:49.0895110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/boa.py
2025-08-14T20:54:49.0896540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/elpi.py
2025-08-14T20:54:49.0898120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/maxima.py
2025-08-14T20:54:49.0899870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/chapel.py
2025-08-14T20:54:49.0902290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/configs.py
2025-08-14T20:54:49.0904680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/clean.py
2025-08-14T20:54:49.0906090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mojo.py
2025-08-14T20:54:49.0906740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jslt.py
2025-08-14T20:54:49.0908230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ul4.py
2025-08-14T20:54:49.0909940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/numbair.py
2025-08-14T20:54:49.0911930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qvt.py
2025-08-14T20:54:49.0913960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tablegen.py
2025-08-14T20:54:49.0914670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/inferno.py
2025-08-14T20:54:49.0915380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tlb.py
2025-08-14T20:54:49.0916900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nix.py
2025-08-14T20:54:49.0918540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wren.py
2025-08-14T20:54:49.0919870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parasail.py
2025-08-14T20:54:49.0921240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smithy.py
2025-08-14T20:54:49.0922740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_css_builtins.py
2025-08-14T20:54:49.0924530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphviz.py
2025-08-14T20:54:49.0925790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/r.py
2025-08-14T20:54:49.0927350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pawn.py
2025-08-14T20:54:49.0929050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dns.py
2025-08-14T20:54:49.0930600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/maple.py
2025-08-14T20:54:49.0932430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/idl.py
2025-08-14T20:54:49.0934390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/iolang.py
2025-08-14T20:54:49.0936260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/amdgpu.py
2025-08-14T20:54:49.0937310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dsls.py
2025-08-14T20:54:49.0938450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/supercollider.py
2025-08-14T20:54:49.0940070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/comal.py
2025-08-14T20:54:49.0941650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/solidity.py
2025-08-14T20:54:49.0942980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scilab_builtins.py
2025-08-14T20:54:49.0944560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lilypond_builtins.py
2025-08-14T20:54:49.0945980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hare.py
2025-08-14T20:54:49.0947790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lisp.py
2025-08-14T20:54:49.0949070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/j.py
2025-08-14T20:54:49.0951280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/blueprint.py
2025-08-14T20:54:49.0952260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mosel.py
2025-08-14T20:54:49.0953970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_googlesql_builtins.py
2025-08-14T20:54:49.0955540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vbscript_builtins.py
2025-08-14T20:54:49.0957950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_openedge_builtins.py
2025-08-14T20:54:49.0959960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smalltalk.py
2025-08-14T20:54:49.0961040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/spice.py
2025-08-14T20:54:49.0961990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/monte.py
2025-08-14T20:54:49.0964620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_luau_builtins.py
2025-08-14T20:54:49.0966590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webmisc.py
2025-08-14T20:54:49.0968080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teal.py
2025-08-14T20:54:49.0968750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/c_cpp.py
2025-08-14T20:54:49.0969530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/perl.py
2025-08-14T20:54:49.0971020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/robotframework.py
2025-08-14T20:54:49.0973240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textfmts.py
2025-08-14T20:54:49.0975170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsonnet.py
2025-08-14T20:54:49.0976910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cplint.py
2025-08-14T20:54:49.0977620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsx.py
2025-08-14T20:54:49.0985610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prolog.py
2025-08-14T20:54:49.0986270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rnc.py
2025-08-14T20:54:49.0987110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wowtoc.py
2025-08-14T20:54:49.0987790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_julia_builtins.py
2025-08-14T20:54:49.0988480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/algebra.py
2025-08-14T20:54:49.0989150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typoscript.py
2025-08-14T20:54:49.0989830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/automation.py
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2025-08-14T20:54:49.0991170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/esoteric.py
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2025-08-14T20:54:49.1445590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wowtoc.cpython-313.pyc
2025-08-14T20:54:49.1446680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/q.cpython-313.pyc
2025-08-14T20:54:49.1448540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kuin.cpython-313.pyc
2025-08-14T20:54:49.1449660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hare.cpython-313.pyc
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2025-08-14T20:54:49.1454150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pddl.cpython-313.pyc
2025-08-14T20:54:49.1455560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsx.cpython-313.pyc
2025-08-14T20:54:49.1457080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textfmts.cpython-313.pyc
2025-08-14T20:54:49.1458540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vip.cpython-313.pyc
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2025-08-14T20:54:49.1461430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apl.cpython-313.pyc
2025-08-14T20:54:49.1462910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smithy.cpython-313.pyc
2025-08-14T20:54:49.1464410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/clean.cpython-313.pyc
2025-08-14T20:54:49.1465880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tlb.cpython-313.pyc
2025-08-14T20:54:49.1467310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smalltalk.cpython-313.pyc
2025-08-14T20:54:49.1468790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/promql.cpython-313.pyc
2025-08-14T20:54:49.1470220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dotnet.cpython-313.pyc
2025-08-14T20:54:49.1471370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ncl.py
2025-08-14T20:54:49.1472610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vyper.py
2025-08-14T20:54:49.1473860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lilypond.py
2025-08-14T20:54:49.1475060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/markup.py
2025-08-14T20:54:49.1476280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pddl.py
2025-08-14T20:54:49.1477600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_asy_builtins.py
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2025-08-14T20:54:49.1480000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ml.py
2025-08-14T20:54:49.1481200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/savi.py
2025-08-14T20:54:49.1482430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bqn.py
2025-08-14T20:54:49.1483620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tal.py
2025-08-14T20:54:49.1484960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tls.py
2025-08-14T20:54:49.1486130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/templates.py
2025-08-14T20:54:49.1487350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/forth.py
2025-08-14T20:54:49.1488530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/css.py
2025-08-14T20:54:49.1489740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asm.py
2025-08-14T20:54:49.1491020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/roboconf.py
2025-08-14T20:54:49.1492410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lasso_builtins.py
2025-08-14T20:54:49.1493610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pascal.py
2025-08-14T20:54:49.1494850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/csound.py
2025-08-14T20:54:49.1496070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typst.py
2025-08-14T20:54:49.1497480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ptx.py
2025-08-14T20:54:49.1498550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sgf.py
2025-08-14T20:54:49.1499720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kusto.py
2025-08-14T20:54:49.1501040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webassembly.py
2025-08-14T20:54:49.1502260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/procfile.py
2025-08-14T20:54:49.1503580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/functional.py
2025-08-14T20:54:49.1505360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/codeql.py
2025-08-14T20:54:49.1506050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textedit.py
2025-08-14T20:54:49.1507350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/installers.py
2025-08-14T20:54:49.1508600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/business.py
2025-08-14T20:54:49.1509800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tcl.py
2025-08-14T20:54:49.1511060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/minecraft.py
2025-08-14T20:54:49.1512230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vip.py
2025-08-14T20:54:49.1513460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mips.py
2025-08-14T20:54:49.1514690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/meson.py
2025-08-14T20:54:49.1515900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/basic.py
2025-08-14T20:54:49.1517250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stan_builtins.py
2025-08-14T20:54:49.1518600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prql.py
2025-08-14T20:54:49.1519730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/eiffel.py
2025-08-14T20:54:49.1520940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scdoc.py
2025-08-14T20:54:49.1522140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dax.py
2025-08-14T20:54:49.1523320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rdf.py
2025-08-14T20:54:49.1524610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gleam.py
2025-08-14T20:54:49.1526160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/email.py
2025-08-14T20:54:49.1527720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sophia.py
2025-08-14T20:54:49.1529280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modula2.py
2025-08-14T20:54:49.1530890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nit.py
2025-08-14T20:54:49.1532510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/actionscript.py
2025-08-14T20:54:49.1534010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qlik.py
2025-08-14T20:54:49.1535590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/text.py
2025-08-14T20:54:49.1537050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/apl.py
2025-08-14T20:54:49.1538610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cl_builtins.py
2025-08-14T20:54:49.1540460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mql_builtins.py
2025-08-14T20:54:49.1541970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/srcinfo.py
2025-08-14T20:54:49.1543340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rego.py
2025-08-14T20:54:49.1544900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/archetype.py
2025-08-14T20:54:49.1546400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/python.py
2025-08-14T20:54:49.1548090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_csound_builtins.py
2025-08-14T20:54:49.1549790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/factor.py
2025-08-14T20:54:49.1551010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dalvik.py
2025-08-14T20:54:49.1552180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/go.py
2025-08-14T20:54:49.1553420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/berry.py
2025-08-14T20:54:49.1554680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/unicon.py
2025-08-14T20:54:49.1555980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_usd_builtins.py
2025-08-14T20:54:49.1557210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cddl.py
2025-08-14T20:54:49.1558680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dylan.py
2025-08-14T20:54:49.1559610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/make.py
2025-08-14T20:54:49.1560810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/diff.py
2025-08-14T20:54:49.1562020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/xorg.py
2025-08-14T20:54:49.1563400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/trafficscript.py
2025-08-14T20:54:49.1564530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kuin.py
2025-08-14T20:54:49.1565740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jvm.py
2025-08-14T20:54:49.1567010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smv.py
2025-08-14T20:54:49.1568160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/math.py
2025-08-14T20:54:49.1569400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tact.py
2025-08-14T20:54:49.1570650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/promql.py
2025-08-14T20:54:49.1571860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/php.py
2025-08-14T20:54:49.1573050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sql.py
2025-08-14T20:54:49.1574260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/x10.py
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2025-08-14T20:54:49.1576810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mapping.py
2025-08-14T20:54:49.1578070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gcodelexer.py
2025-08-14T20:54:49.1579280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/praat.py
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2025-08-14T20:54:49.1584150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/q.py
2025-08-14T20:54:49.1585390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/snobol.py
2025-08-14T20:54:49.1586730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mysql_builtins.py
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2025-08-14T20:54:49.1595630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arturo.py
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2025-08-14T20:54:49.1601690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ooc.py
2025-08-14T20:54:49.1602890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bdd.py
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2025-08-14T20:54:49.1706190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-08-14T20:54:49.1707670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-08-14T20:54:49.1708780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/sas.py
2025-08-14T20:54:49.1710010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/material.py
2025-08-14T20:54:49.1711820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-08-14T20:54:49.1712590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-08-14T20:54:49.1713850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-08-14T20:54:49.1715090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-08-14T20:54:49.1716290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-08-14T20:54:49.1717540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-08-14T20:54:49.1718800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-08-14T20:54:49.1720020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/tango.py
2025-08-14T20:54:49.1721290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-08-14T20:54:49.1722790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-08-14T20:54:49.1723870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-08-14T20:54:49.1725090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-08-14T20:54:49.1726340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-08-14T20:54:49.1727830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-08-14T20:54:49.1728850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-08-14T20:54:49.1730110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/native.py
2025-08-14T20:54:49.1732000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-08-14T20:54:49.1733120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-08-14T20:54:49.1735180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-08-14T20:54:49.1736190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-08-14T20:54:49.1737670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-08-14T20:54:49.1739140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-08-14T20:54:49.1740660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-08-14T20:54:49.1742090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-08-14T20:54:49.1743620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-08-14T20:54:49.1745070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-08-14T20:54:49.1746580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-08-14T20:54:49.1748030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-08-14T20:54:49.1749760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-08-14T20:54:49.1750900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-08-14T20:54:49.1752450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-08-14T20:54:49.1753900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-08-14T20:54:49.1755560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-08-14T20:54:49.1756790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-08-14T20:54:49.1758300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-08-14T20:54:49.1759760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-08-14T20:54:49.1761310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
2025-08-14T20:54:49.1762690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gruvbox.cpython-313.pyc
2025-08-14T20:54:49.1764590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly_grayscale.cpython-313.pyc
2025-08-14T20:54:49.1765850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_light.cpython-313.pyc
2025-08-14T20:54:49.1767300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/zenburn.cpython-313.pyc
2025-08-14T20:54:49.1768820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_light.cpython-313.pyc
2025-08-14T20:54:49.1770220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/rrt.cpython-313.pyc
2025-08-14T20:54:49.1771730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/autumn.cpython-313.pyc
2025-08-14T20:54:49.1773180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/pastie.cpython-313.pyc
2025-08-14T20:54:49.1774720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_dark.cpython-313.pyc
2025-08-14T20:54:49.1776120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/sas.cpython-313.pyc
2025-08-14T20:54:49.1777760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/dracula.cpython-313.pyc
2025-08-14T20:54:49.1779120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/solarized.cpython-313.pyc
2025-08-14T20:54:49.1780600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/native.cpython-313.pyc
2025-08-14T20:54:49.1782020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/emacs.cpython-313.pyc
2025-08-14T20:54:49.1783800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/default.cpython-313.pyc
2025-08-14T20:54:49.1785110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/tango.cpython-313.pyc
2025-08-14T20:54:49.1786700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/rainbow_dash.cpython-313.pyc
2025-08-14T20:54:49.1788080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/bw.cpython-313.pyc
2025-08-14T20:54:49.1789850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/abap.cpython-313.pyc
2025-08-14T20:54:49.1791020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/perldoc.cpython-313.pyc
2025-08-14T20:54:49.1792610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/_mapping.cpython-313.pyc
2025-08-14T20:54:49.1794100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly.cpython-313.pyc
2025-08-14T20:54:49.1795450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/vim.cpython-313.pyc
2025-08-14T20:54:49.1796960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/monokai.cpython-313.pyc
2025-08-14T20:54:49.1798390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/trac.cpython-313.pyc
2025-08-14T20:54:49.1799990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/__init__.cpython-313.pyc
2025-08-14T20:54:49.1801450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/staroffice.cpython-313.pyc
2025-08-14T20:54:49.1802790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/colorful.py
2025-08-14T20:54:49.1803890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/lilypond.py
2025-08-14T20:54:49.1805090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/igor.py
2025-08-14T20:54:49.1806340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/zenburn.py
2025-08-14T20:54:49.1807530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/bw.py
2025-08-14T20:54:49.1808760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/emacs.py
2025-08-14T20:54:49.1810020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/dracula.py
2025-08-14T20:54:49.1811370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/vs.py
2025-08-14T20:54:49.1812450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/default.py
2025-08-14T20:54:49.1813760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/paraiso_light.py
2025-08-14T20:54:49.1815000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/lovelace.py
2025-08-14T20:54:49.1816400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/stata_dark.py
2025-08-14T20:54:49.1817510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/vim.py
2025-08-14T20:54:49.1818790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/borland.py
2025-08-14T20:54:49.1820110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/coffee.py
2025-08-14T20:54:49.1821270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/_mapping.py
2025-08-14T20:54:49.1822630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/murphy.py
2025-08-14T20:54:49.1823750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/lightbulb.py
2025-08-14T20:54:49.1825040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/fruity.py
2025-08-14T20:54:49.1826180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/abap.py
2025-08-14T20:54:49.1827470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/rainbow_dash.py
2025-08-14T20:54:49.1828730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/manni.py
2025-08-14T20:54:49.1830000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/autumn.py
2025-08-14T20:54:49.1831160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/rrt.py
2025-08-14T20:54:49.1832410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/perldoc.py
2025-08-14T20:54:49.1833600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/trac.py
2025-08-14T20:54:49.1834830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/algol.py
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2025-08-14T20:54:49.5375880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Michigan
2025-08-14T20:54:49.5376700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Arizona
2025-08-14T20:54:49.5377670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Indiana-Starke
2025-08-14T20:54:49.5378560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Aleutian
2025-08-14T20:54:49.5379440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Hawaii
2025-08-14T20:54:49.5380460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/East-Indiana
2025-08-14T20:54:49.5381300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Central
2025-08-14T20:54:49.5382180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Mountain
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2025-08-14T20:54:49.5383920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Kwajalein
2025-08-14T20:54:49.5384820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leapseconds
2025-08-14T20:54:49.5385770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/DeNoronha
2025-08-14T20:54:49.5386820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/Acre
2025-08-14T20:54:49.5387580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/East
2025-08-14T20:54:49.5388460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/West
2025-08-14T20:54:49.5389490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Port_Moresby
2025-08-14T20:54:49.5390380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chuuk
2025-08-14T20:54:49.5391300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Easter
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2025-08-14T20:54:49.5393400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tongatapu
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2025-08-14T20:54:49.5396940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Norfolk
2025-08-14T20:54:49.5397840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Efate
2025-08-14T20:54:49.5398790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fiji
2025-08-14T20:54:49.5399820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Funafuti
2025-08-14T20:54:49.5400630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Palau
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2025-08-14T20:54:49.5404290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Niue
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2025-08-14T20:54:49.5408020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Johnston
2025-08-14T20:54:49.5408950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Midway
2025-08-14T20:54:49.5409860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Nauru
2025-08-14T20:54:49.5410830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Guadalcanal
2025-08-14T20:54:49.5411800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chatham
2025-08-14T20:54:49.5412740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Auckland
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2025-08-14T20:54:49.5414580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fakaofo
2025-08-14T20:54:49.5415500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tahiti
2025-08-14T20:54:49.5416440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Gambier
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2025-08-14T20:54:49.5418330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Honolulu
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2025-08-14T20:54:49.5421080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Truk
2025-08-14T20:54:49.5422030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pitcairn
2025-08-14T20:54:49.5422970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Marquesas
2025-08-14T20:54:49.5423880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kanton
2025-08-14T20:54:49.5424880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Bougainville
2025-08-14T20:54:49.5425780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tarawa
2025-08-14T20:54:49.5426760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Rarotonga
2025-08-14T20:54:49.5427650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Samoa
2025-08-14T20:54:49.5428630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kiritimati
2025-08-14T20:54:49.5429570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Enderbury
2025-08-14T20:54:49.5430460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zone1970.tab
2025-08-14T20:54:49.5431530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MST
2025-08-14T20:54:49.5432160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ
2025-08-14T20:54:49.5433180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Arctic/Longyearbyen
2025-08-14T20:54:49.5434060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Universal
2025-08-14T20:54:49.5435110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Libya
2025-08-14T20:54:49.5436020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Turkey
2025-08-14T20:54:49.5436930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/iso3166.tab
2025-08-14T20:54:49.5437910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EST5EDT
2025-08-14T20:54:49.5438640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Greenwich
2025-08-14T20:54:49.5439660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Puerto_Rico
2025-08-14T20:54:49.5440560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Recife
2025-08-14T20:54:49.5441510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Resolute
2025-08-14T20:54:49.5442430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Manaus
2025-08-14T20:54:49.5443360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/New_York
2025-08-14T20:54:49.5444420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rankin_Inlet
2025-08-14T20:54:49.5445690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lima
2025-08-14T20:54:49.5446290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Barthelemy
2025-08-14T20:54:49.5447380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santo_Domingo
2025-08-14T20:54:49.5448210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Detroit
2025-08-14T20:54:49.5449200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Paramaribo
2025-08-14T20:54:49.5450130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yakutat
2025-08-14T20:54:49.5451060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santarem
2025-08-14T20:54:49.5452040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Punta_Arenas
2025-08-14T20:54:49.5453050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Scoresbysund
2025-08-14T20:54:49.5453990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santiago
2025-08-14T20:54:49.5454920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guyana
2025-08-14T20:54:49.5455940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coral_Harbour
2025-08-14T20:54:49.5456920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rio_Branco
2025-08-14T20:54:49.5457860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Acre
2025-08-14T20:54:49.5458870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ciudad_Juarez
2025-08-14T20:54:49.5459780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nipigon
2025-08-14T20:54:49.5460720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Edmonton
2025-08-14T20:54:49.5461720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port_of_Spain
2025-08-14T20:54:49.5462760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lower_Princes
2025-08-14T20:54:49.5463670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Thomas
2025-08-14T20:54:49.5464600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guatemala
2025-08-14T20:54:49.5465550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Catamarca
2025-08-14T20:54:49.5466570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Antigua
2025-08-14T20:54:49.5467470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Velho
2025-08-14T20:54:49.5468410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rosario
2025-08-14T20:54:49.5469430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chicago
2025-08-14T20:54:49.5470270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Creston
2025-08-14T20:54:49.5471450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Managua
2025-08-14T20:54:49.5472110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nassau
2025-08-14T20:54:49.5473050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bogota
2025-08-14T20:54:49.5473970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cancun
2025-08-14T20:54:49.5474930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chihuahua
2025-08-14T20:54:49.5475940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Campo_Grande
2025-08-14T20:54:49.5476850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Halifax
2025-08-14T20:54:49.5477990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boise
2025-08-14T20:54:49.5478670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montreal
2025-08-14T20:54:49.5479640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Goose_Bay
2025-08-14T20:54:49.5480580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sao_Paulo
2025-08-14T20:54:49.5481620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon
2025-08-14T20:54:49.5482490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Phoenix
2025-08-14T20:54:49.5483470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atikokan
2025-08-14T20:54:49.5484350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayenne
2025-08-14T20:54:49.5485260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nuuk
2025-08-14T20:54:49.5486240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santa_Isabel
2025-08-14T20:54:49.5487190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boa_Vista
2025-08-14T20:54:49.5488200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia_Banderas
2025-08-14T20:54:49.5489190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay
2025-08-14T20:54:49.5490280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis
2025-08-14T20:54:49.5491250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac
2025-08-14T20:54:49.5492310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City
2025-08-14T20:54:49.5493320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg
2025-08-14T20:54:49.5494340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes
2025-08-14T20:54:49.5495300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Knox
2025-08-14T20:54:49.5496340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo
2025-08-14T20:54:49.5497370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indianapolis
2025-08-14T20:54:49.5498210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dominica
2025-08-14T20:54:49.5499250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Salta
2025-08-14T20:54:49.5500260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Ushuaia
2025-08-14T20:54:49.5501310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Catamarca
2025-08-14T20:54:49.5503810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/ComodRivadavia
2025-08-14T20:54:49.5504060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Juan
2025-08-14T20:54:49.5504450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Luis
2025-08-14T20:54:49.5505550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-08-14T20:54:49.5506550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Jujuy
2025-08-14T20:54:49.5507560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Tucuman
2025-08-14T20:54:49.5508730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Buenos_Aires
2025-08-14T20:54:49.5509900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Cordoba
2025-08-14T20:54:49.5510730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/La_Rioja
2025-08-14T20:54:49.5511740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Mendoza
2025-08-14T20:54:49.5512620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/La_Paz
2025-08-14T20:54:49.5513570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson
2025-08-14T20:54:49.5514590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Moncton
2025-08-14T20:54:49.5515680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Matamoros
2025-08-14T20:54:49.5516520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Vincent
2025-08-14T20:54:49.5517440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Regina
2025-08-14T20:54:49.5518440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yellowknife
2025-08-14T20:54:49.5519430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rainy_River
2025-08-14T20:54:49.5520370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kralendijk
2025-08-14T20:54:49.5521330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Monterrey
2025-08-14T20:54:49.5522250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jamaica
2025-08-14T20:54:49.5523240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Havana
2025-08-14T20:54:49.5524190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tegucigalpa
2025-08-14T20:54:49.5525120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guayaquil
2025-08-14T20:54:49.5526090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Metlakatla
2025-08-14T20:54:49.5527100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mazatlan
2025-08-14T20:54:49.5527940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belize
2025-08-14T20:54:49.5528870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Knox_IN
2025-08-14T20:54:49.5529830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cuiaba
2025-08-14T20:54:49.5530760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Merida
2025-08-14T20:54:49.5531660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jujuy
2025-08-14T20:54:49.5532580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayman
2025-08-14T20:54:49.5533530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belem
2025-08-14T20:54:49.5534470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Eirunepe
2025-08-14T20:54:49.5535400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Lucia
2025-08-14T20:54:49.5536310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia
2025-08-14T20:54:49.5537310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Whitehorse
2025-08-14T20:54:49.5538250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tortola
2025-08-14T20:54:49.5539180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Vancouver
2025-08-14T20:54:49.5540110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Inuvik
2025-08-14T20:54:49.5541140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port-au-Prince
2025-08-14T20:54:49.5542090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fortaleza
2025-08-14T20:54:49.5543010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Noronha
2025-08-14T20:54:49.5544250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Buenos_Aires
2025-08-14T20:54:49.5544990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Los_Angeles
2025-08-14T20:54:49.5545950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/El_Salvador
2025-08-14T20:54:49.5546850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Denver
2025-08-14T20:54:49.5547810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Wayne
2025-08-14T20:54:49.5548880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Louisville
2025-08-14T20:54:49.5549970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Monticello
2025-08-14T20:54:49.5551020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/New_Salem
2025-08-14T20:54:49.5552080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Center
2025-08-14T20:54:49.5553100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Beulah
2025-08-14T20:54:49.5554020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Glace_Bay
2025-08-14T20:54:49.5555000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montserrat
2025-08-14T20:54:49.5555920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Toronto
2025-08-14T20:54:49.5557110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Panama
2025-08-14T20:54:49.5557870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cordoba
2025-08-14T20:54:49.5558780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Louisville
2025-08-14T20:54:49.5559710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ensenada
2025-08-14T20:54:49.5560660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Shiprock
2025-08-14T20:54:49.5561620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ojinaga
2025-08-14T20:54:49.5562530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thule
2025-08-14T20:54:49.5563490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Caracas
2025-08-14T20:54:49.5565170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Araguaina
2025-08-14T20:54:49.5565440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cambridge_Bay
2025-08-14T20:54:49.5566370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Winnipeg
2025-08-14T20:54:49.5567330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grand_Turk
2025-08-14T20:54:49.5568240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Virgin
2025-08-14T20:54:49.5569200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anchorage
2025-08-14T20:54:49.5570180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Costa_Rica
2025-08-14T20:54:49.5571070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nome
2025-08-14T20:54:49.5572010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grenada
2025-08-14T20:54:49.5572980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Johns
2025-08-14T20:54:49.5573850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atka
2025-08-14T20:54:49.5574820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Asuncion
2025-08-14T20:54:49.5575770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Hermosillo
2025-08-14T20:54:49.5580610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tijuana
2025-08-14T20:54:49.5580900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Marigot
2025-08-14T20:54:49.5581110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Juneau
2025-08-14T20:54:49.5581340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montevideo
2025-08-14T20:54:49.5581550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Godthab
2025-08-14T20:54:49.5582830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guadeloupe
2025-08-14T20:54:49.5583940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Maceio
2025-08-14T20:54:49.5584960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Pangnirtung
2025-08-14T20:54:49.5585870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Kitts
2025-08-14T20:54:49.5586800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Barbados
2025-08-14T20:54:49.5587740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Iqaluit
2025-08-14T20:54:49.5588690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Menominee
2025-08-14T20:54:49.5589740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Martinique
2025-08-14T20:54:49.5590640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mexico_City
2025-08-14T20:54:49.5591660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Swift_Current
2025-08-14T20:54:49.5592540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Miquelon
2025-08-14T20:54:49.5593460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Curacao
2025-08-14T20:54:49.5594450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson_Creek
2025-08-14T20:54:49.5595370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mendoza
2025-08-14T20:54:49.5596300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Adak
2025-08-14T20:54:49.5597500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coyhaique
2025-08-14T20:54:49.5598250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thunder_Bay
2025-08-14T20:54:49.5599120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Aruba
2025-08-14T20:54:49.5600140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Nelson
2025-08-14T20:54:49.5601020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sitka
2025-08-14T20:54:49.5601960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anguilla
2025-08-14T20:54:49.5602990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Danmarkshavn
2025-08-14T20:54:49.5603980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Melbourne
2025-08-14T20:54:49.5604920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Queensland
2025-08-14T20:54:49.5605850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/North
2025-08-14T20:54:49.5606820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lord_Howe
2025-08-14T20:54:49.5607760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Adelaide
2025-08-14T20:54:49.5608750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Yancowinna
2025-08-14T20:54:49.5609970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Victoria
2025-08-14T20:54:49.5610690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Canberra
2025-08-14T20:54:49.5611610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Sydney
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2025-08-14T20:54:49.5613480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Eucla
2025-08-14T20:54:49.5614450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Brisbane
2025-08-14T20:54:49.5615400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Tasmania
2025-08-14T20:54:49.5616560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Hobart
2025-08-14T20:54:49.5617310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Perth
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2025-08-14T20:54:49.5619260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lindeman
2025-08-14T20:54:49.5620200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Darwin
2025-08-14T20:54:49.5621070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/West
2025-08-14T20:54:49.5621980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/LHI
2025-08-14T20:54:49.5622980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/NSW
2025-08-14T20:54:49.5624310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Broken_Hill
2025-08-14T20:54:49.5625570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Currie
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2025-08-14T20:54:49.5630690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Universal
2025-08-14T20:54:49.5632010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Greenwich
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2025-08-14T20:54:49.5667990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zonenow.tab
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2025-08-14T20:54:49.5674240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Urumqi
2025-08-14T20:54:49.5675390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Karachi
2025-08-14T20:54:49.5676520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Khandyga
2025-08-14T20:54:49.5677610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimbu
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2025-08-14T20:54:49.5680060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vladivostok
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2025-08-14T20:54:49.5683700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulan_Bator
2025-08-14T20:54:49.5684850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aden
2025-08-14T20:54:49.5686070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Muscat
2025-08-14T20:54:49.5687420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Damascus
2025-08-14T20:54:49.5688640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jerusalem
2025-08-14T20:54:49.5689620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Brunei
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2025-08-14T20:54:49.5691450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Amman
2025-08-14T20:54:49.5692360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuching
2025-08-14T20:54:49.5693300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tel_Aviv
2025-08-14T20:54:49.5694160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Seoul
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2025-08-14T20:54:49.5696080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pyongyang
2025-08-14T20:54:49.5696870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hovd
2025-08-14T20:54:49.5697770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hebron
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2025-08-14T20:54:49.5701300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chita
2025-08-14T20:54:49.5702210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Katmandu
2025-08-14T20:54:49.5703070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Gaza
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2025-08-14T20:54:49.5706790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yekaterinburg
2025-08-14T20:54:49.5707690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macau
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2025-08-14T20:54:49.5717540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yerevan
2025-08-14T20:54:49.5718420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Almaty
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2025-08-14T20:54:49.5722050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ust-Nera
2025-08-14T20:54:49.5722950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Magadan
2025-08-14T20:54:49.5723850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Colombo
2025-08-14T20:54:49.5724820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Krasnoyarsk
2025-08-14T20:54:49.5725820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kamchatka
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2025-08-14T20:54:49.5727630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jakarta
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2025-08-14T20:54:49.5732170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pontianak
2025-08-14T20:54:49.5733070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Makassar
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2025-08-14T20:54:49.5738470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yakutsk
2025-08-14T20:54:49.5739470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuala_Lumpur
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2025-08-14T20:54:49.5741220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Beirut
2025-08-14T20:54:49.5742110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtobe
2025-08-14T20:54:49.5743010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Anadyr
2025-08-14T20:54:49.5743910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bishkek
2025-08-14T20:54:49.5744800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dubai
2025-08-14T20:54:49.5745690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Riyadh
2025-08-14T20:54:49.5746680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novokuznetsk
2025-08-14T20:54:49.5747530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtau
2025-08-14T20:54:49.5748430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Omsk
2025-08-14T20:54:49.5749370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashkhabad
2025-08-14T20:54:49.5750270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Saigon
2025-08-14T20:54:49.5751180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Sakhalin
2025-08-14T20:54:49.5752110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hong_Kong
2025-08-14T20:54:49.5753060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Phnom_Penh
2025-08-14T20:54:49.5753980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Nicosia
2025-08-14T20:54:49.5754870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baghdad
2025-08-14T20:54:49.5755920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Srednekolymsk
2025-08-14T20:54:49.5756750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashgabat
2025-08-14T20:54:49.5757690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kathmandu
2025-08-14T20:54:49.5758620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Choibalsan
2025-08-14T20:54:49.5759550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bangkok
2025-08-14T20:54:49.5760460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chungking
2025-08-14T20:54:49.5761410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novosibirsk
2025-08-14T20:54:49.5762350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Famagusta
2025-08-14T20:54:49.5763260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Rangoon
2025-08-14T20:54:49.5764180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ho_Chi_Minh
2025-08-14T20:54:49.5764980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MET
2025-08-14T20:54:49.5765860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Portugal
2025-08-14T20:54:49.5766820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Palmer
2025-08-14T20:54:49.5767770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Davis
2025-08-14T20:54:49.5768720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Rothera
2025-08-14T20:54:49.5769660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Vostok
2025-08-14T20:54:49.5770590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Syowa
2025-08-14T20:54:49.5771650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/DumontDUrville
2025-08-14T20:54:49.5772600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/McMurdo
2025-08-14T20:54:49.5773590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Macquarie
2025-08-14T20:54:49.5774620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/South_Pole
2025-08-14T20:54:49.5775490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Troll
2025-08-14T20:54:49.5776470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Mawson
2025-08-14T20:54:49.5777380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Casey
2025-08-14T20:54:49.5778190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT-0
2025-08-14T20:54:49.5779020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/CET
2025-08-14T20:54:49.5779830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Eire
2025-08-14T20:54:49.5780730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/PST8PDT
2025-08-14T20:54:49.5781720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leap-seconds.list
2025-08-14T20:54:49.5782530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Jamaica
2025-08-14T20:54:49.5783340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT
2025-08-14T20:54:49.5784180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Zulu
2025-08-14T20:54:49.5785050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Japan
2025-08-14T20:54:49.5785920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROC
2025-08-14T20:54:49.5786740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB-Eire
2025-08-14T20:54:49.5788180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zurich
2025-08-14T20:54:49.5788610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Paris
2025-08-14T20:54:49.5789510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Moscow
2025-08-14T20:54:49.5790490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Luxembourg
2025-08-14T20:54:49.5791440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ljubljana
2025-08-14T20:54:49.5792330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Helsinki
2025-08-14T20:54:49.5793230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Minsk
2025-08-14T20:54:49.5794170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Skopje
2025-08-14T20:54:49.5795080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Dublin
2025-08-14T20:54:49.5795980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Jersey
2025-08-14T20:54:49.5796910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/San_Marino
2025-08-14T20:54:49.5797840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Gibraltar
2025-08-14T20:54:49.5798790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belgrade
2025-08-14T20:54:49.5799710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Guernsey
2025-08-14T20:54:49.5800660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ulyanovsk
2025-08-14T20:54:49.5801600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Saratov
2025-08-14T20:54:49.5802480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vaduz
2025-08-14T20:54:49.5803410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Istanbul
2025-08-14T20:54:49.5804320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Lisbon
2025-08-14T20:54:49.5805260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Uzhgorod
2025-08-14T20:54:49.5806160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kirov
2025-08-14T20:54:49.5807150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tirane
2025-08-14T20:54:49.5808050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tiraspol
2025-08-14T20:54:49.5808970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sarajevo
2025-08-14T20:54:49.5809880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Madrid
2025-08-14T20:54:49.5810810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Podgorica
2025-08-14T20:54:49.5811740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Busingen
2025-08-14T20:54:49.5812650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vatican
2025-08-14T20:54:49.5813620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belfast
2025-08-14T20:54:49.5815090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bratislava
2025-08-14T20:54:49.5815610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kiev
2025-08-14T20:54:49.5816560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kaliningrad
2025-08-14T20:54:49.5817480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zaporozhye
2025-08-14T20:54:49.5818440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vienna
2025-08-14T20:54:49.5820320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Budapest
2025-08-14T20:54:49.5820830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vilnius
2025-08-14T20:54:49.5821330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Monaco
2025-08-14T20:54:49.5822560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Oslo
2025-08-14T20:54:49.5824830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Astrakhan
2025-08-14T20:54:49.5825960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Simferopol
2025-08-14T20:54:49.5826810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Volgograd
2025-08-14T20:54:49.5827640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kyiv
2025-08-14T20:54:49.5828780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Isle_of_Man
2025-08-14T20:54:49.5829590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/London
2025-08-14T20:54:49.5830500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Riga
2025-08-14T20:54:49.5831470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Andorra
2025-08-14T20:54:49.5832340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Prague
2025-08-14T20:54:49.5833280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Berlin
2025-08-14T20:54:49.5834190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tallinn
2025-08-14T20:54:49.5835100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Rome
2025-08-14T20:54:49.5836480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Malta
2025-08-14T20:54:49.5837240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zagreb
2025-08-14T20:54:49.5838710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Amsterdam
2025-08-14T20:54:49.5839460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Nicosia
2025-08-14T20:54:49.5840190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bucharest
2025-08-14T20:54:49.5841040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Copenhagen
2025-08-14T20:54:49.5842070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Chisinau
2025-08-14T20:54:49.5842980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Mariehamn
2025-08-14T20:54:49.5844010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sofia
2025-08-14T20:54:49.5844920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Athens
2025-08-14T20:54:49.5846270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Stockholm
2025-08-14T20:54:49.5846800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Samara
2025-08-14T20:54:49.5847560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Brussels
2025-08-14T20:54:49.5849190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Warsaw
2025-08-14T20:54:49.5849690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROK
2025-08-14T20:54:49.5850220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Navajo
2025-08-14T20:54:49.5851280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Singapore
2025-08-14T20:54:49.5851960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB
2025-08-14T20:54:49.5853100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaNorte
2025-08-14T20:54:49.5853860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/General
2025-08-14T20:54:49.5855110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Mexico/BajaSur
2025-08-14T20:54:49.5855610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EST
2025-08-14T20:54:49.5857240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT0
2025-08-14T20:54:49.5857720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Hongkong
2025-08-14T20:54:49.5858420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/PRC
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2025-08-14T20:54:49.6806060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/ssl/openssl.cnf
2025-08-14T20:54:49.6806420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/ssl/ct_log_list.cnf.dist
2025-08-14T20:54:49.6808270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/bin/c_rehash
2025-08-14T20:54:49.6809890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/bin/openssl
2025-08-14T20:54:49.6810860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pem2.h
2025-08-14T20:54:49.6811720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/kdf.h
2025-08-14T20:54:49.6812600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pem.h
2025-08-14T20:54:49.6813520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/asyncerr.h
2025-08-14T20:54:49.6814370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/md2.h
2025-08-14T20:54:49.6815250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ssl3.h
2025-08-14T20:54:49.6816200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ossl_typ.h
2025-08-14T20:54:49.6817060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/dtls1.h
2025-08-14T20:54:49.6817930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/err.h
2025-08-14T20:54:49.6818780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/bn.h
2025-08-14T20:54:49.6819730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/blowfish.h
2025-08-14T20:54:49.6820590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cms.h
2025-08-14T20:54:49.6821490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/engine.h
2025-08-14T20:54:49.6822530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/conf_api.h
2025-08-14T20:54:49.6823300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/esserr.h
2025-08-14T20:54:49.6824180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/core.h
2025-08-14T20:54:49.6825050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/x509.h
2025-08-14T20:54:49.6825970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/asn1_mac.h
2025-08-14T20:54:49.6826910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/objectserr.h
2025-08-14T20:54:49.6827830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/params.h
2025-08-14T20:54:49.6828720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cmserr.h
2025-08-14T20:54:49.6829610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/http.h
2025-08-14T20:54:49.6830470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ui.h
2025-08-14T20:54:49.6831340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/sha.h
2025-08-14T20:54:49.6832270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/symhacks.h
2025-08-14T20:54:49.6833140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/asn1.h
2025-08-14T20:54:49.6834090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/bioerr.h
2025-08-14T20:54:49.6835010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/opensslconf.h
2025-08-14T20:54:49.6835850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/bio.h
2025-08-14T20:54:49.6836730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rc2.h
2025-08-14T20:54:49.6837630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/types.h
2025-08-14T20:54:49.6838480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/dh.h
2025-08-14T20:54:49.6839500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cryptoerr_legacy.h
2025-08-14T20:54:49.6840390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/proverr.h
2025-08-14T20:54:49.6841280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/x509v3.h
2025-08-14T20:54:49.6842220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/core_object.h
2025-08-14T20:54:49.6843160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/decodererr.h
2025-08-14T20:54:49.6844110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/param_build.h
2025-08-14T20:54:49.6844980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/conf.h
2025-08-14T20:54:49.6845980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/conftypes.h
2025-08-14T20:54:49.6846790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/md5.h
2025-08-14T20:54:49.6847750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/decoder.h
2025-08-14T20:54:49.6848620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pemerr.h
2025-08-14T20:54:49.6849530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/crmferr.h
2025-08-14T20:54:49.6850460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/x509_vfy.h
2025-08-14T20:54:49.6851330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/txt_db.h
2025-08-14T20:54:49.6852290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cmp.h
2025-08-14T20:54:49.6853140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/comperr.h
2025-08-14T20:54:49.6854020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cterr.h
2025-08-14T20:54:49.6854940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/self_test.h
2025-08-14T20:54:49.6855870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/safestack.h
2025-08-14T20:54:49.6856830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/configuration.h
2025-08-14T20:54:49.6857790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/fips_names.h
2025-08-14T20:54:49.6858920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ecdsa.h
2025-08-14T20:54:49.6859560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/sslerr.h
2025-08-14T20:54:49.6860460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/prov_ssl.h
2025-08-14T20:54:49.6861370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/fipskey.h
2025-08-14T20:54:49.6862220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rc5.h
2025-08-14T20:54:49.6863120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/uierr.h
2025-08-14T20:54:49.6864080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/x509v3err.h
2025-08-14T20:54:49.6864970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/objects.h
2025-08-14T20:54:49.6865870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pkcs12.h
2025-08-14T20:54:49.6866770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/crypto.h
2025-08-14T20:54:49.6867650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/crmf.h
2025-08-14T20:54:49.6868570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cmp_util.h
2025-08-14T20:54:49.6869500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/opensslv.h
2025-08-14T20:54:49.6870420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/evperr.h
2025-08-14T20:54:49.6871290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pkcs7.h
2025-08-14T20:54:49.6872210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/obj_mac.h
2025-08-14T20:54:49.6873050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ct.h
2025-08-14T20:54:49.6873990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/async.h
2025-08-14T20:54:49.6874870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/buffer.h
2025-08-14T20:54:49.6875750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ssl.h
2025-08-14T20:54:49.6876840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/srp.h
2025-08-14T20:54:49.6877530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/camellia.h
2025-08-14T20:54:49.6878420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/httperr.h
2025-08-14T20:54:49.6879300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/dherr.h
2025-08-14T20:54:49.6880180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/evp.h
2025-08-14T20:54:49.6881060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/e_os2.h
2025-08-14T20:54:49.6882040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/trace.h
2025-08-14T20:54:49.6882830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/md4.h
2025-08-14T20:54:49.6883770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/core_names.h
2025-08-14T20:54:49.6884630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/hmac.h
2025-08-14T20:54:49.6885590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/provider.h
2025-08-14T20:54:49.6886420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/aes.h
2025-08-14T20:54:49.6887400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/engineerr.h
2025-08-14T20:54:49.6888280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/comp.h
2025-08-14T20:54:49.6889410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/macros.h
2025-08-14T20:54:49.6890100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pkcs12err.h
2025-08-14T20:54:49.6891000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/encoder.h
2025-08-14T20:54:49.6891890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cast.h
2025-08-14T20:54:49.6892850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/sslerr_legacy.h
2025-08-14T20:54:49.6893710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rc4.h
2025-08-14T20:54:49.6894600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/stack.h
2025-08-14T20:54:49.6895500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/des.h
2025-08-14T20:54:49.6896360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ocsp.h
2025-08-14T20:54:49.6897230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ec.h
2025-08-14T20:54:49.6898110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ecdh.h
2025-08-14T20:54:49.6899000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rand.h
2025-08-14T20:54:49.6899920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ecerr.h
2025-08-14T20:54:49.6900750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ts.h
2025-08-14T20:54:49.6901770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/core_dispatch.h
2025-08-14T20:54:49.6902670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cryptoerr.h
2025-08-14T20:54:49.6903570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/storeerr.h
2025-08-14T20:54:49.6904490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/buffererr.h
2025-08-14T20:54:49.6905350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/seed.h
2025-08-14T20:54:49.6906260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/modes.h
2025-08-14T20:54:49.6907140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ssl2.h
2025-08-14T20:54:49.6908070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/tserr.h
2025-08-14T20:54:49.6908930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rsa.h
2025-08-14T20:54:49.6909830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ripemd.h
2025-08-14T20:54:49.6910780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/whrlpool.h
2025-08-14T20:54:49.6911710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/encodererr.h
2025-08-14T20:54:49.6912700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/cmperr.h
2025-08-14T20:54:49.6913490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/tls1.h
2025-08-14T20:54:49.6914430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/rsaerr.h
2025-08-14T20:54:49.6915320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/randerr.h
2025-08-14T20:54:49.6916160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/mdc2.h
2025-08-14T20:54:49.6917080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/ocsperr.h
2025-08-14T20:54:49.6917990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/x509err.h
2025-08-14T20:54:49.6918890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.16-h02f6b3c_0/include/openssl/pkcs7err.h
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2025-08-14T20:54:49.7030640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/basictz.h
2025-08-14T20:54:49.7031680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udata.h
2025-08-14T20:54:49.7032570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stringtriebuilder.h
2025-08-14T20:54:49.7033400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/chariter.h
2025-08-14T20:54:49.7034200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umisc.h
2025-08-14T20:54:49.7035090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/reldatefmt.h
2025-08-14T20:54:49.7035910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uloc.h
2025-08-14T20:54:49.7036760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurrule.h
2025-08-14T20:54:49.7037740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattednumber.h
2025-08-14T20:54:49.7038660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestriebuilder.h
2025-08-14T20:54:49.7040310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measunit.h
2025-08-14T20:54:49.7040490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrace.h
2025-08-14T20:54:49.7041270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locdspnm.h
2025-08-14T20:54:49.7042260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gregocal.h
2025-08-14T20:54:49.7043020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchriter.h
2025-08-14T20:54:49.7043830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/enumset.h
2025-08-14T20:54:49.7044670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/nounit.h
2025-08-14T20:54:49.7045480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf.h
2025-08-14T20:54:49.7046350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measure.h
2025-08-14T20:54:49.7047160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tzrule.h
2025-08-14T20:54:49.7048010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/strenum.h
2025-08-14T20:54:49.7048850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/regex.h
2025-08-14T20:54:49.7049710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gender.h
2025-08-14T20:54:49.7050600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dcfmtsym.h
2025-08-14T20:54:49.7051430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_err.h
2025-08-14T20:54:49.7052290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/decimfmt.h
2025-08-14T20:54:49.7053160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestrie.h
2025-08-14T20:54:49.7054000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udatpg.h
2025-08-14T20:54:49.7054930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/listformatter.h
2025-08-14T20:54:49.7056510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uobject.h
2025-08-14T20:54:49.7056700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/calendar.h
2025-08-14T20:54:49.7057720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ures.h
2025-08-14T20:54:49.7058310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normlzr.h
2025-08-14T20:54:49.7059130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usprep.h
2025-08-14T20:54:49.7059990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/urename.h
2025-08-14T20:54:49.7060840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/caniter.h
2025-08-14T20:54:49.7061690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucol.h
2025-08-14T20:54:49.7062590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/upluralrules.h
2025-08-14T20:54:49.7063680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstrie.h
2025-08-14T20:54:49.7064270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmunit.h
2025-08-14T20:54:49.7065120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unistr.h
2025-08-14T20:54:49.7065920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbbi.h
2025-08-14T20:54:49.7066800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ulocdata.h
2025-08-14T20:54:49.7067640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/idna.h
2025-08-14T20:54:49.7068520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm2.h
2025-08-14T20:54:49.7069540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localebuilder.h
2025-08-14T20:54:49.7070290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtptngen.h
2025-08-14T20:54:49.7071090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dbbi.h
2025-08-14T20:54:49.7071990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestream.h
2025-08-14T20:54:49.7072840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uversion.h
2025-08-14T20:54:49.7073780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/messagepattern.h
2025-08-14T20:54:49.7074570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uidna.h
2025-08-14T20:54:49.7075490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/filteredbrk.h
2025-08-14T20:54:49.7076310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutamt.h
2025-08-14T20:54:49.7077200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/char16ptr.h
2025-08-14T20:54:49.7078140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattedvalue.h
2025-08-14T20:54:49.7078990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/symtable.h
2025-08-14T20:54:49.7079830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucasemap.h
2025-08-14T20:54:49.7080680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucoleitr.h
2025-08-14T20:54:49.7081710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/compactdecimalformat.h
2025-08-14T20:54:49.7082470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unum.h
2025-08-14T20:54:49.7083420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplaycontext.h
2025-08-14T20:54:49.7084240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tztrans.h
2025-08-14T20:54:49.7085140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umachine.h
2025-08-14T20:54:49.7086050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numberformatter.h
2025-08-14T20:54:49.7086860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/datefmt.h
2025-08-14T20:54:49.7087740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utmscale.h
2025-08-14T20:54:49.7088570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/coll.h
2025-08-14T20:54:49.7089410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/currpinf.h
2025-08-14T20:54:49.7090250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uregex.h
2025-08-14T20:54:49.7091170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutfmt.h
2025-08-14T20:54:49.7091960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurfmt.h
2025-08-14T20:54:49.7092870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustringtrie.h
2025-08-14T20:54:49.7093720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/smpdtfmt.h
2025-08-14T20:54:49.7094840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucptrie.h
2025-08-14T20:54:49.7095540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplayoptions.h
2025-08-14T20:54:49.7096390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/icudataver.h
2025-08-14T20:54:49.7097190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchar.h
2025-08-14T20:54:49.7098050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm.h
2025-08-14T20:54:49.7098870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ushape.h
2025-08-14T20:54:49.7099720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unifunct.h
2025-08-14T20:54:49.7100560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ugender.h
2025-08-14T20:54:49.7101420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/selfmt.h
2025-08-14T20:54:49.7102330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattable.h
2025-08-14T20:54:49.7103140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustream.h
2025-08-14T20:54:49.7104120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpleformatter.h
2025-08-14T20:54:49.7104930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_cb.h
2025-08-14T20:54:49.7105800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/curramt.h
2025-08-14T20:54:49.7106620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locid.h
2025-08-14T20:54:49.7107630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udateintervalformat.h
2025-08-14T20:54:49.7108440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/resbund.h
2025-08-14T20:54:49.7109260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ubidi.h
2025-08-14T20:54:49.7110200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stsearch.h
2025-08-14T20:54:49.7111040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/alphaindex.h
2025-08-14T20:54:49.7111860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uvernum.h
2025-08-14T20:54:49.7112720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unimatch.h
2025-08-14T20:54:49.7113520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbtz.h
2025-08-14T20:54:49.7114360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnvsel.h
2025-08-14T20:54:49.7115210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uspoof.h
2025-08-14T20:54:49.7116090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/region.h
2025-08-14T20:54:49.7117100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ureldatefmt.h
2025-08-14T20:54:49.7117800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrans.h
2025-08-14T20:54:49.7118680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/parseerr.h
2025-08-14T20:54:49.7119480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/putil.h
2025-08-14T20:54:49.7120380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/format.h
2025-08-14T20:54:49.7121400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/scientificnumberformatter.h
2025-08-14T20:54:49.7122280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/displayoptions.h
2025-08-14T20:54:49.7123170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normalizer2.h
2025-08-14T20:54:49.7123990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtrule.h
2025-08-14T20:54:49.7124950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumberoptions.h
2025-08-14T20:54:49.7125720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv.h
2025-08-14T20:54:49.7126690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstriebuilder.h
2025-08-14T20:54:49.7127500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/search.h
2025-08-14T20:54:49.7128360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumsys.h
2025-08-14T20:54:49.7129190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uconfig.h
2025-08-14T20:54:49.7130060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf16.h
2025-08-14T20:54:49.7130930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/brkiter.h
2025-08-14T20:54:49.7131850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/formattedvalue.h
2025-08-14T20:54:49.7132700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/platform.h
2025-08-14T20:54:49.7133490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rep.h
2025-08-14T20:54:49.7134450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/formattednumber.h
2025-08-14T20:54:49.7135340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/std_string.h
2025-08-14T20:54:49.7136140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf8.h
2025-08-14T20:54:49.7137130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localpointer.h
2025-08-14T20:54:49.7137910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uclean.h
2025-08-14T20:54:49.7138760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uscript.h
2025-08-14T20:54:49.7139760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numfmt.h
2025-08-14T20:54:49.7140480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/currunit.h
2025-08-14T20:54:49.7141320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utypes.h
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2025-08-14T20:54:49.7257660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/windows.py
2025-08-14T20:54:49.7258920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__main__.py
2025-08-14T20:54:49.7259450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readline-8.3-h0b18652_0.conda
2025-08-14T20:54:49.7260300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget
2025-08-14T20:54:49.7261160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget.pl
2025-08-14T20:54:49.7261950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/CA.pl
2025-08-14T20:54:49.7262820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf
2025-08-14T20:54:49.7263720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf.dist
2025-08-14T20:54:49.7264540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf
2025-08-14T20:54:49.7265450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf.dist
2025-08-14T20:54:49.7266260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/c_rehash
2025-08-14T20:54:49.7267060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/openssl
2025-08-14T20:54:49.7268010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem2.h
2025-08-14T20:54:49.7268900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/kdf.h
2025-08-14T20:54:49.7269820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem.h
2025-08-14T20:54:49.7270770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asyncerr.h
2025-08-14T20:54:49.7271630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md2.h
2025-08-14T20:54:49.7272600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl3.h
2025-08-14T20:54:49.7273480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ossl_typ.h
2025-08-14T20:54:49.7274330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dtls1.h
2025-08-14T20:54:49.7275210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/err.h
2025-08-14T20:54:49.7276070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bn.h
2025-08-14T20:54:49.7277040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/blowfish.h
2025-08-14T20:54:49.7277940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cms.h
2025-08-14T20:54:49.7278840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engine.h
2025-08-14T20:54:49.7279810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf_api.h
2025-08-14T20:54:49.7280780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/esserr.h
2025-08-14T20:54:49.7281660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core.h
2025-08-14T20:54:49.7287340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509.h
2025-08-14T20:54:49.7287690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1_mac.h
2025-08-14T20:54:49.7287910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objectserr.h
2025-08-14T20:54:49.7288120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/params.h
2025-08-14T20:54:49.7288330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmserr.h
2025-08-14T20:54:49.7288530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/http.h
2025-08-14T20:54:49.7288730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ui.h
2025-08-14T20:54:49.7288930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sha.h
2025-08-14T20:54:49.7289810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/symhacks.h
2025-08-14T20:54:49.7290690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1.h
2025-08-14T20:54:49.7291970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bioerr.h
2025-08-14T20:54:49.7292610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslconf.h
2025-08-14T20:54:49.7293490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bio.h
2025-08-14T20:54:49.7294420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc2.h
2025-08-14T20:54:49.7295340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/types.h
2025-08-14T20:54:49.7296240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dh.h
2025-08-14T20:54:49.7297300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cryptoerr_legacy.h
2025-08-14T20:54:49.7298160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/proverr.h
2025-08-14T20:54:49.7299070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3.h
2025-08-14T20:54:49.7300020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_object.h
2025-08-14T20:54:49.7300940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decodererr.h
2025-08-14T20:54:49.7301880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/param_build.h
2025-08-14T20:54:49.7302790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf.h
2025-08-14T20:54:49.7303690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conftypes.h
2025-08-14T20:54:49.7304540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md5.h
2025-08-14T20:54:49.7305690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decoder.h
2025-08-14T20:54:49.7306900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pemerr.h
2025-08-14T20:54:49.7308240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmferr.h
2025-08-14T20:54:49.7309330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509_vfy.h
2025-08-14T20:54:49.7310400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/txt_db.h
2025-08-14T20:54:49.7311440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp.h
2025-08-14T20:54:49.7312700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comperr.h
2025-08-14T20:54:49.7313840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cterr.h
2025-08-14T20:54:49.7314940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/self_test.h
2025-08-14T20:54:49.7316240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/safestack.h
2025-08-14T20:54:49.7317500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/configuration.h
2025-08-14T20:54:49.7318740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fips_names.h
2025-08-14T20:54:49.7319830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdsa.h
2025-08-14T20:54:49.7321010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr.h
2025-08-14T20:54:49.7322200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/prov_ssl.h
2025-08-14T20:54:49.7323500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fipskey.h
2025-08-14T20:54:49.7324730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc5.h
2025-08-14T20:54:49.7325830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/uierr.h
2025-08-14T20:54:49.7327120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3err.h
2025-08-14T20:54:49.7328350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objects.h
2025-08-14T20:54:49.7329640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12.h
2025-08-14T20:54:49.7330780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crypto.h
2025-08-14T20:54:49.7332080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmf.h
2025-08-14T20:54:49.7333270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp_util.h
2025-08-14T20:54:49.7334430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslv.h
2025-08-14T20:54:49.7335640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evperr.h
2025-08-14T20:54:49.7336930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs7.h
2025-08-14T20:54:49.7338040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/obj_mac.h
2025-08-14T20:54:49.7339180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ct.h
2025-08-14T20:54:49.7340480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/async.h
2025-08-14T20:54:49.7341760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/buffer.h
2025-08-14T20:54:49.7342550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl.h
2025-08-14T20:54:49.7343430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/srp.h
2025-08-14T20:54:49.7344360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/camellia.h
2025-08-14T20:54:49.7345280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/httperr.h
2025-08-14T20:54:49.7346190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dherr.h
2025-08-14T20:54:49.7347350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evp.h
2025-08-14T20:54:49.7348320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/e_os2.h
2025-08-14T20:54:49.7349170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/trace.h
2025-08-14T20:54:49.7350040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md4.h
2025-08-14T20:54:49.7350990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_names.h
2025-08-14T20:54:49.7351860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/hmac.h
2025-08-14T20:54:49.7352780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/provider.h
2025-08-14T20:54:49.7353640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/aes.h
2025-08-14T20:54:49.7354600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engineerr.h
2025-08-14T20:54:49.7355870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comp.h
2025-08-14T20:54:49.7357080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/macros.h
2025-08-14T20:54:49.7358220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12err.h
2025-08-14T20:54:49.7359390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/encoder.h
2025-08-14T20:54:49.7360520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cast.h
2025-08-14T20:54:49.7361690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr_legacy.h
2025-08-14T20:54:49.7362770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc4.h
2025-08-14T20:54:49.7363920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/stack.h
2025-08-14T20:54:49.7365030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/des.h
2025-08-14T20:54:49.7366060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ocsp.h
2025-08-14T20:54:49.7367190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ec.h
2025-08-14T20:54:49.7368370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdh.h
2025-08-14T20:54:49.7369540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rand.h
2025-08-14T20:54:49.7370870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecerr.h
2025-08-14T20:54:49.7372040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ts.h
2025-08-14T20:54:49.7373430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_dispatch.h
2025-08-14T20:54:49.7374640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cryptoerr.h
2025-08-14T20:54:49.7375920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/storeerr.h
2025-08-14T20:54:49.7377170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/buffererr.h
2025-08-14T20:54:49.7378380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/seed.h
2025-08-14T20:54:49.7379490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/modes.h
2025-08-14T20:54:49.7380680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl2.h
2025-08-14T20:54:49.7381910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/tserr.h
2025-08-14T20:54:49.7383100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rsa.h
2025-08-14T20:54:49.7384230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ripemd.h
2025-08-14T20:54:49.7385510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/whrlpool.h
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2025-08-14T20:54:49.7388030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmperr.h
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2025-08-14T20:54:49.7917210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis
2025-08-14T20:54:49.7918130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx3
2025-08-14T20:54:49.7919020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty
2025-08-14T20:54:49.7919910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415
2025-08-14T20:54:49.7920800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s
2025-08-14T20:54:49.7921690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mono
2025-08-14T20:54:49.7922560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+pp
2025-08-14T20:54:49.7923420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-28
2025-08-14T20:54:49.7924330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idl
2025-08-14T20:54:49.7925240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s-rv
2025-08-14T20:54:49.7926090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att513
2025-08-14T20:54:49.7926970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424
2025-08-14T20:54:49.7927880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-ns
2025-08-14T20:54:49.7928730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-26
2025-08-14T20:54:49.7929630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510d
2025-08-14T20:54:49.7930500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ap-vm80
2025-08-14T20:54:49.7931450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620-103k-w
2025-08-14T20:54:49.7932360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_19L
2025-08-14T20:54:49.7933220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w
2025-08-14T20:54:49.7934060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos3
2025-08-14T20:54:49.7934990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansil-mono
2025-08-14T20:54:49.7935880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos4
2025-08-14T20:54:49.7936840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x30-mono
2025-08-14T20:54:49.7937700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cpr
2025-08-14T20:54:49.7938600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv
2025-08-14T20:54:49.7939430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apl
2025-08-14T20:54:49.7940380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv
2025-08-14T20:54:49.7941230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-4
2025-08-14T20:54:49.7942160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-3
2025-08-14T20:54:49.7943000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620
2025-08-14T20:54:49.7943910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st
2025-08-14T20:54:49.7944790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aa4080
2025-08-14T20:54:49.7945700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-heath
2025-08-14T20:54:49.7946550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt2
2025-08-14T20:54:49.7947360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj
2025-08-14T20:54:49.7948310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt5
2025-08-14T20:54:49.7949290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-raw
2025-08-14T20:54:49.7950140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos5
2025-08-14T20:54:49.7951030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aas1901
2025-08-14T20:54:49.7951860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt
2025-08-14T20:54:49.7952740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/awsc
2025-08-14T20:54:49.7953660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-unk
2025-08-14T20:54:49.7954540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos2
2025-08-14T20:54:49.7955440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e
2025-08-14T20:54:49.7956330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424m
2025-08-14T20:54:49.7957250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+csr
2025-08-14T20:54:49.7958200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-generic
2025-08-14T20:54:49.7959120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsviewpoint
2025-08-14T20:54:49.7960420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s
2025-08-14T20:54:49.7961150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo+vt132
2025-08-14T20:54:49.7962270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt4
2025-08-14T20:54:49.7963430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w
2025-08-14T20:54:49.7964790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24-rv
2025-08-14T20:54:49.7965880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt3
2025-08-14T20:54:49.7967160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425
2025-08-14T20:54:49.7968200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630
2025-08-14T20:54:49.7969420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgr
2025-08-14T20:54:49.7970640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cup
2025-08-14T20:54:49.7971730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-2
2025-08-14T20:54:49.7972900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w
2025-08-14T20:54:49.7974060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv
2025-08-14T20:54:49.7975130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-ctxt
2025-08-14T20:54:49.7976400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt+s
2025-08-14T20:54:49.7977440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex175
2025-08-14T20:54:49.7978520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-5
2025-08-14T20:54:49.7979630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219
2025-08-14T20:54:49.7980730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42
2025-08-14T20:54:49.7981960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-24
2025-08-14T20:54:49.7983090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s-rv
2025-08-14T20:54:49.7984200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1a
2025-08-14T20:54:49.7985400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615
2025-08-14T20:54:49.7986650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-emx
2025-08-14T20:54:49.7987910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrbold
2025-08-14T20:54:49.7989200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrul
2025-08-14T20:54:49.7990260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm20
2025-08-14T20:54:49.7991500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x60-mono
2025-08-14T20:54:49.7992700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k
2025-08-14T20:54:49.7993850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari
2025-08-14T20:54:49.7995070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-old
2025-08-14T20:54:49.7996340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansiterm
2025-08-14T20:54:49.7997600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410v1
2025-08-14T20:54:49.7998690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm11
2025-08-14T20:54:49.7999960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418-w
2025-08-14T20:54:49.8001190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5430
2025-08-14T20:54:49.8002440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-ns
2025-08-14T20:54:49.8003610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrso
2025-08-14T20:54:49.8004770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi
2025-08-14T20:54:49.8005960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-22
2025-08-14T20:54:49.8007220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a80
2025-08-14T20:54:49.8008370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605-pc
2025-08-14T20:54:49.8009420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm21
2025-08-14T20:54:49.8010550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-w
2025-08-14T20:54:49.8011760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42-ns
2025-08-14T20:54:49.8013140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca2
2025-08-14T20:54:49.8014070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att500
2025-08-14T20:54:49.8015170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100
2025-08-14T20:54:49.8016350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm5
2025-08-14T20:54:49.8017400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-8bit
2025-08-14T20:54:49.8018660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambassador
2025-08-14T20:54:49.8019720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm2
2025-08-14T20:54:49.8020980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2350
2025-08-14T20:54:49.8022330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-2-emx
2025-08-14T20:54:49.8023580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis-mono
2025-08-14T20:54:49.8024960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-3-emx
2025-08-14T20:54:49.8026230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-24
2025-08-14T20:54:49.8027450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoheath
2025-08-14T20:54:49.8028640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis0
2025-08-14T20:54:49.8029850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansisysk
2025-08-14T20:54:49.8030990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi43m
2025-08-14T20:54:49.8032430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4418-w
2025-08-14T20:54:49.8033640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420+nl
2025-08-14T20:54:49.8034800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e-p
2025-08-14T20:54:49.8036050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_color
2025-08-14T20:54:49.8037320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-41
2025-08-14T20:54:49.8038380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1
2025-08-14T20:54:49.8039600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mtabs
2025-08-14T20:54:49.8040910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-nl
2025-08-14T20:54:49.8041990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3
2025-08-14T20:54:49.8043370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atarist-m
2025-08-14T20:54:49.8044620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k-w
2025-08-14T20:54:49.8045830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv
2025-08-14T20:54:49.8047040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrdim
2025-08-14T20:54:49.8048240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm-vb
2025-08-14T20:54:49.8049480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex80
2025-08-14T20:54:49.8050720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-24
2025-08-14T20:54:49.8051800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-w
2025-08-14T20:54:49.8053030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219
2025-08-14T20:54:49.8054280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addrinfo
2025-08-14T20:54:49.8055440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60
2025-08-14T20:54:49.8056580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25
2025-08-14T20:54:49.8057690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+dec
2025-08-14T20:54:49.8058920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex210
2025-08-14T20:54:49.8060130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219w
2025-08-14T20:54:49.8061290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-am
2025-08-14T20:54:49.8062450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-ns
2025-08-14T20:54:49.8063670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-rv-n
2025-08-14T20:54:49.8064750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-ae
2025-08-14T20:54:49.8066060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k-w
2025-08-14T20:54:49.8067320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+erase
2025-08-14T20:54:49.8068520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510a
2025-08-14T20:54:49.8069610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4426
2025-08-14T20:54:49.8070940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630-24
2025-08-14T20:54:49.8072060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoh19
2025-08-14T20:54:49.8073090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa
2025-08-14T20:54:49.8074200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24
2025-08-14T20:54:49.8075410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm
2025-08-14T20:54:49.8076630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rep
2025-08-14T20:54:49.8077640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv
2025-08-14T20:54:49.8078910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-h19
2025-08-14T20:54:49.8080220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv-ctxt
2025-08-14T20:54:49.8081470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st-color
2025-08-14T20:54:49.8082620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis
2025-08-14T20:54:49.8083640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm80
2025-08-14T20:54:49.8084860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x50
2025-08-14T20:54:49.8086080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-w
2025-08-14T20:54:49.8087160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410
2025-08-14T20:54:49.8088380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m-old
2025-08-14T20:54:49.8089610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-nl
2025-08-14T20:54:49.8090830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7pc
2025-08-14T20:54:49.8092030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48
2025-08-14T20:54:49.8093170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idc1
2025-08-14T20:54:49.8094490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+tabs
2025-08-14T20:54:49.8095680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleII
2025-08-14T20:54:49.8097170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty-direct
2025-08-14T20:54:49.8098140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj832
2025-08-14T20:54:49.8099340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local1
2025-08-14T20:54:49.8100500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85h-old
2025-08-14T20:54:49.8101640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm+sl
2025-08-14T20:54:49.8102720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219w
2025-08-14T20:54:49.8103840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-m
2025-08-14T20:54:49.8105160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar0+
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2025-08-14T20:54:49.8107420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424-1
2025-08-14T20:54:49.8108540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca
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2025-08-14T20:54:49.8113190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aepro
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2025-08-14T20:54:49.8115520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1-w
2025-08-14T20:54:49.8116710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-34
2025-08-14T20:54:49.8117920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv-n
2025-08-14T20:54:49.8119230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48-rv
2025-08-14T20:54:49.8120430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo
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2025-08-14T20:54:49.8122790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-40
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2025-08-14T20:54:49.8127780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-nt
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2025-08-14T20:54:49.8131350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420
2025-08-14T20:54:49.8132560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi77
2025-08-14T20:54:49.8133710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mr
2025-08-14T20:54:49.8134820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418
2025-08-14T20:54:49.8136120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3a
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2025-08-14T20:54:49.8138560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-1
2025-08-14T20:54:49.8139780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-color
2025-08-14T20:54:49.8141050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-ctxt
2025-08-14T20:54:49.8142120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sys
2025-08-14T20:54:49.8143310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-s
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2025-08-14T20:54:49.8146960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31
2025-08-14T20:54:49.8148280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-nl
2025-08-14T20:54:49.8149500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-s
2025-08-14T20:54:49.8150550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm36
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2025-08-14T20:54:49.8154110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_15P
2025-08-14T20:54:49.8155110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7
2025-08-14T20:54:49.8156230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-s
2025-08-14T20:54:49.8157410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730-41
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2025-08-14T20:54:49.8163090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410
2025-08-14T20:54:49.8164220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos7pc
2025-08-14T20:54:49.8165390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1178
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2025-08-14T20:54:49.8167650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219
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2025-08-14T20:54:49.8186620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a980
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2025-08-14T20:54:49.8188980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx
2025-08-14T20:54:49.8190140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sysk
2025-08-14T20:54:49.8191340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219w
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2025-08-14T20:54:49.8193740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-mono
2025-08-14T20:54:49.8194880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31-old
2025-08-14T20:54:49.8196030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar1
2025-08-14T20:54:49.8197250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-80
2025-08-14T20:54:49.8198270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-db
2025-08-14T20:54:49.8199620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-vnc
2025-08-14T20:54:49.8201180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-rv-nl
2025-08-14T20:54:49.8202370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm22
2025-08-14T20:54:49.8203590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610
2025-08-14T20:54:49.8204730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds980
2025-08-14T20:54:49.8206000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple80p
2025-08-14T20:54:49.8207060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410-w
2025-08-14T20:54:49.8208380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+inittabs
2025-08-14T20:54:49.8209700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local
2025-08-14T20:54:49.8211010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425-nl
2025-08-14T20:54:49.8212010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aterm
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2025-08-14T20:54:49.8214280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-w
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2025-08-14T20:54:49.8216830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv-ctxt
2025-08-14T20:54:49.8218010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2300
2025-08-14T20:54:49.8219160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-ns
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2025-08-14T20:54:49.8223880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act4
2025-08-14T20:54:49.8225180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-s
2025-08-14T20:54:49.8226370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m
2025-08-14T20:54:49.8227460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1
2025-08-14T20:54:49.8228690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-h
2025-08-14T20:54:49.8229930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k
2025-08-14T20:54:49.8231050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambas
2025-08-14T20:54:49.8232220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at386
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2025-08-14T20:54:49.8234460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att700
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2025-08-14T20:54:49.8238010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-wam
2025-08-14T20:54:49.8239220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act5
2025-08-14T20:54:49.8240280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIgs
2025-08-14T20:54:49.8241410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsvp60
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2025-08-14T20:54:49.8243760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5320
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2025-08-14T20:54:49.8246220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+unk
2025-08-14T20:54:49.8247350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-m
2025-08-14T20:54:49.8248630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds200
2025-08-14T20:54:49.8249880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+apparrows
2025-08-14T20:54:49.8251210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv-ct
2025-08-14T20:54:49.8252280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIc
2025-08-14T20:54:49.8253430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30
2025-08-14T20:54:49.8254760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at-color
2025-08-14T20:54:49.8256020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730
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2025-08-14T20:54:49.8258570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-nl
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2025-08-14T20:54:49.8262140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm
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2025-08-14T20:54:49.8267710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco-p
2025-08-14T20:54:49.8268790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fox
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2025-08-14T20:54:49.8271120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom
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2025-08-14T20:54:49.8279240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot+base
2025-08-14T20:54:49.8280380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fixterm
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2025-08-14T20:54:49.8286930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fenix
2025-08-14T20:54:49.8288000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco
2025-08-14T20:54:49.8289170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-14
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2025-08-14T20:54:49.8308980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12
2025-08-14T20:54:49.8309890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp236
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2025-08-14T20:54:49.8314320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100
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2025-08-14T20:54:49.8337470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-kx
2025-08-14T20:54:49.8338340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-bs
2025-08-14T20:54:49.8339260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092A
2025-08-14T20:54:49.8340150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-wl
2025-08-14T20:54:49.8341070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk-cr
2025-08-14T20:54:49.8341920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz2000
2025-08-14T20:54:49.8342870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a-color
2025-08-14T20:54:49.8343930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p
2025-08-14T20:54:49.8344750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550
2025-08-14T20:54:49.8345600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpsub
2025-08-14T20:54:49.8346540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+arrows
2025-08-14T20:54:49.8347470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+arrows
2025-08-14T20:54:49.8348480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621k45
2025-08-14T20:54:49.8349400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heathkit-a
2025-08-14T20:54:49.8350350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550-color
2025-08-14T20:54:49.8351200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hds200
2025-08-14T20:54:49.8352060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1420
2025-08-14T20:54:49.8352940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2392
2025-08-14T20:54:49.8353860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hirez100-w
2025-08-14T20:54:49.8354780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648
2025-08-14T20:54:49.8355590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c
2025-08-14T20:54:49.8356490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552
2025-08-14T20:54:49.8357410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2
2025-08-14T20:54:49.8358760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-bc
2025-08-14T20:54:49.8360100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+color
2025-08-14T20:54:49.8361210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-fl
2025-08-14T20:54:49.8362420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2641a
2025-08-14T20:54:49.8363590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/htx11
2025-08-14T20:54:49.8364660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a
2025-08-14T20:54:49.8365780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp262x
2025-08-14T20:54:49.8366900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624
2025-08-14T20:54:49.8368010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2623
2025-08-14T20:54:49.8369300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p-a
2025-08-14T20:54:49.8370470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-k45
2025-08-14T20:54:49.8371540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b
2025-08-14T20:54:49.8372670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hazel
2025-08-14T20:54:49.8373850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648a
2025-08-14T20:54:49.8375180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a
2025-08-14T20:54:49.8376260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622
2025-08-14T20:54:49.8377350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9837
2025-08-14T20:54:49.8378570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p-p
2025-08-14T20:54:49.8379700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p
2025-08-14T20:54:49.8381000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpgeneric
2025-08-14T20:54:49.8382260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a
2025-08-14T20:54:49.8383440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1500
2025-08-14T20:54:49.8384640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19kermit
2025-08-14T20:54:49.8385760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-us
2025-08-14T20:54:49.8386930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-old
2025-08-14T20:54:49.8388190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700-wy
2025-08-14T20:54:49.8389280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9845
2025-08-14T20:54:49.8395410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-nl
2025-08-14T20:54:49.8395910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpex
2025-08-14T20:54:49.8396420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19k
2025-08-14T20:54:49.8396970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hterm-256color
2025-08-14T20:54:49.8397470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-kc-uc
2025-08-14T20:54:49.8397960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+printer
2025-08-14T20:54:49.8398440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397a
2025-08-14T20:54:49.8398920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p
2025-08-14T20:54:49.8399390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1510
2025-08-14T20:54:49.8400140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-ba
2025-08-14T20:54:49.8401340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12x40
2025-08-14T20:54:49.8402440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8675
2025-08-14T20:54:49.8403440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8686
2025-08-14T20:54:49.8404590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2640a
2025-08-14T20:54:49.8405680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520
2025-08-14T20:54:49.8406840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626a
2025-08-14T20:54:49.8407980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a-10p
2025-08-14T20:54:49.8409070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath
2025-08-14T20:54:49.8410220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c-old
2025-08-14T20:54:49.8411430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98720
2025-08-14T20:54:49.8412300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1000
2025-08-14T20:54:49.8413380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft
2025-08-14T20:54:49.8414490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382
2025-08-14T20:54:49.8415690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm
2025-08-14T20:54:49.8416810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpansi
2025-08-14T20:54:49.8417910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98721
2025-08-14T20:54:49.8418970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-b
2025-08-14T20:54:49.8420110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-a
2025-08-14T20:54:49.8421330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp45
2025-08-14T20:54:49.8422450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h-100bw
2025-08-14T20:54:49.8423670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520-noesc
2025-08-14T20:54:49.8424710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp110
2025-08-14T20:54:49.8425940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp300h
2025-08-14T20:54:49.8427200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/he80
2025-08-14T20:54:49.8428210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12-s
2025-08-14T20:54:49.8429410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397
2025-08-14T20:54:49.8430560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp150
2025-08-14T20:54:49.8431530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382a
2025-08-14T20:54:49.8432640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-48
2025-08-14T20:54:49.8433970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+cr
2025-08-14T20:54:49.8435110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-uc
2025-08-14T20:54:49.8436130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700
2025-08-14T20:54:49.8437200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-p
2025-08-14T20:54:49.8438380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100bw
2025-08-14T20:54:49.8439330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hurd
2025-08-14T20:54:49.8440410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092
2025-08-14T20:54:49.8441440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622a
2025-08-14T20:54:49.8442560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2644a
2025-08-14T20:54:49.8443800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2645
2025-08-14T20:54:49.8445090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p-p
2025-08-14T20:54:49.8446210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-s
2025-08-14T20:54:49.8447320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627c
2025-08-14T20:54:49.8448420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552-rv
2025-08-14T20:54:49.8449570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626
2025-08-14T20:54:49.8450850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a-rev
2025-08-14T20:54:49.8452020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621
2025-08-14T20:54:49.8453210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b
2025-08-14T20:54:49.8454450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-ns
2025-08-14T20:54:49.8455580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hmod1
2025-08-14T20:54:49.8456750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621A
2025-08-14T20:54:49.8457990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+labels
2025-08-14T20:54:49.8459090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-p
2025-08-14T20:54:49.8460370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath-ansi
2025-08-14T20:54:49.8461590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2647a
2025-08-14T20:54:49.8462740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35
2025-08-14T20:54:49.8463940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100
2025-08-14T20:54:49.8465210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50
2025-08-14T20:54:49.8466340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o4112-nd
2025-08-14T20:54:49.8467580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w
2025-08-14T20:54:49.8468780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oc100
2025-08-14T20:54:49.8470100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60
2025-08-14T20:54:49.8471260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-w
2025-08-14T20:54:49.8472350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osexec
2025-08-14T20:54:49.8473420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o85h
2025-08-14T20:54:49.8474670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldibmpc3
2025-08-14T20:54:49.8475970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w
2025-08-14T20:54:49.8477170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-w
2025-08-14T20:54:49.8478490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w-vt
2025-08-14T20:54:49.8479700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne
2025-08-14T20:54:49.8480960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldsun
2025-08-14T20:54:49.8482180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1-w
2025-08-14T20:54:49.8483330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne-w
2025-08-14T20:54:49.8484440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/owl
2025-08-14T20:54:49.8485670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oconcept
2025-08-14T20:54:49.8486880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt
2025-08-14T20:54:49.8488180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-nti
2025-08-14T20:54:49.8489350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ofcons
2025-08-14T20:54:49.8490510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opus3n1+
2025-08-14T20:54:49.8491970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4112
2025-08-14T20:54:49.8493070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4115
2025-08-14T20:54:49.8494320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldxterm+sm+1006
2025-08-14T20:54:49.8495640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100-nti
2025-08-14T20:54:49.8496960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-nti
2025-08-14T20:54:49.8498040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oblit
2025-08-14T20:54:49.8499260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4114
2025-08-14T20:54:49.8500330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4113
2025-08-14T20:54:49.8501590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-nti
2025-08-14T20:54:49.8502650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o31
2025-08-14T20:54:49.8503730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oabm85h
2025-08-14T20:54:49.8504890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldpc3
2025-08-14T20:54:49.8505980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1
2025-08-14T20:54:49.8507130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/omron
2025-08-14T20:54:49.8508490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-nti
2025-08-14T20:54:49.8509620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origpc3
2025-08-14T20:54:49.8510710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w-vt
2025-08-14T20:54:49.8511920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-w
2025-08-14T20:54:49.8513150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origibmpc3
2025-08-14T20:54:49.8514130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/old-st
2025-08-14T20:54:49.8515200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ojerq
2025-08-14T20:54:49.8516410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25
2025-08-14T20:54:49.8517610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-nti
2025-08-14T20:54:49.8518750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/os9LII
2025-08-14T20:54:49.8519960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jfbterm
2025-08-14T20:54:49.8521130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm-m
2025-08-14T20:54:49.8522160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jerq
2025-08-14T20:54:49.8523430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm
2025-08-14T20:54:49.8524550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621
2025-08-14T20:54:49.8525650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621-wl
2025-08-14T20:54:49.8526860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621A
2025-08-14T20:54:49.8527880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5051
2025-08-14T20:54:49.8529220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5410-w
2025-08-14T20:54:49.8530350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630-24
2025-08-14T20:54:49.8531550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630DMD-24
2025-08-14T20:54:49.8532590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5620
2025-08-14T20:54:49.8533750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi
2025-08-14T20:54:49.8534830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq140
2025-08-14T20:54:49.8536070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161
2025-08-14T20:54:49.8537230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube2
2025-08-14T20:54:49.8538370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6154-c
2025-08-14T20:54:49.8539480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm
2025-08-14T20:54:49.8540730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube
2025-08-14T20:54:49.8541810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3151
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2025-08-14T20:54:49.8545260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton
2025-08-14T20:54:49.8546470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r-mono
2025-08-14T20:54:49.8547480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmaed
2025-08-14T20:54:49.8548750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc
2025-08-14T20:54:49.8549840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ips
2025-08-14T20:54:49.8551010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm327x
2025-08-14T20:54:49.8552100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibcs2
2025-08-14T20:54:49.8553240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i100
2025-08-14T20:54:49.8554430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmpel-c
2025-08-14T20:54:49.8555600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega
2025-08-14T20:54:49.8556800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154
2025-08-14T20:54:49.8558070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm2.app
2025-08-14T20:54:49.8559270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-net
2025-08-14T20:54:49.8560450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton2
2025-08-14T20:54:49.8561740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga-c
2025-08-14T20:54:49.8562850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+16color
2025-08-14T20:54:49.8563990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims-ansi
2025-08-14T20:54:49.8565190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-system1
2025-08-14T20:54:49.8566500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c
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2025-08-14T20:54:49.8568950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega-c
2025-08-14T20:54:49.8570090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmx
2025-08-14T20:54:49.8571220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-pc
2025-08-14T20:54:49.8572390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext2
2025-08-14T20:54:49.8573640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081
2025-08-14T20:54:49.8574860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c-c
2025-08-14T20:54:49.8575870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ipsi
2025-08-14T20:54:49.8577120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3162
2025-08-14T20:54:49.8578380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-color
2025-08-14T20:54:49.8579700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950-rv
2025-08-14T20:54:49.8580900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8512
2025-08-14T20:54:49.8582180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161-C
2025-08-14T20:54:49.8583230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq120
2025-08-14T20:54:49.8584400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3163
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2025-08-14T20:54:49.8587840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8513
2025-08-14T20:54:49.8589120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081-c
2025-08-14T20:54:49.8590340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris40
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2025-08-14T20:54:49.8593770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2
2025-08-14T20:54:49.8594860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153
2025-08-14T20:54:49.8595950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertec
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2025-08-14T20:54:49.8598200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r
2025-08-14T20:54:49.8599340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga
2025-08-14T20:54:49.8600500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6155
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2025-08-14T20:54:49.8602930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix-nti
2025-08-14T20:54:49.8604050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmono
2025-08-14T20:54:49.8605210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8
2025-08-14T20:54:49.8606310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm.app
2025-08-14T20:54:49.8607510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6404
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2025-08-14T20:54:49.8610030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2-direct
2025-08-14T20:54:49.8611200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3101
2025-08-14T20:54:49.8612360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext
2025-08-14T20:54:49.8613590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix
2025-08-14T20:54:49.8614690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3
2025-08-14T20:54:49.8615950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5151
2025-08-14T20:54:49.8617190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpcx
2025-08-14T20:54:49.8618410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+color
2025-08-14T20:54:49.8619570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3164
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2025-08-14T20:54:49.8622170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ifmr
2025-08-14T20:54:49.8623200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i400
2025-08-14T20:54:49.8624580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8507
2025-08-14T20:54:49.8625680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950
2025-08-14T20:54:49.8626840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-ap
2025-08-14T20:54:49.8628050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa16
2025-08-14T20:54:49.8629220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-apl
2025-08-14T20:54:49.8630440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intextii
2025-08-14T20:54:49.8631620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8514-c
2025-08-14T20:54:49.8632860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154-c
2025-08-14T20:54:49.8634080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153-40
2025-08-14T20:54:49.8635260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H
2025-08-14T20:54:49.8636530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q306-8-pc
2025-08-14T20:54:49.8637810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H-am
2025-08-14T20:54:49.8638960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w-am
2025-08-14T20:54:49.8640150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w
2025-08-14T20:54:49.8641490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-Hw
2025-08-14T20:54:49.8642590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm
2025-08-14T20:54:49.8643970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm-color2
2025-08-14T20:54:49.8645250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2012
2025-08-14T20:54:49.8646340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44
2025-08-14T20:54:49.8647500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+rv
2025-08-14T20:54:49.8648610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru
2025-08-14T20:54:49.8649740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator
2025-08-14T20:54:49.8651090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome+pcfkeys
2025-08-14T20:54:49.8652260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140
2025-08-14T20:54:49.8653500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-s
2025-08-14T20:54:49.8654610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-lp
2025-08-14T20:54:49.8655830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w-s
2025-08-14T20:54:49.8656820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gsi
2025-08-14T20:54:49.8658080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs6300
2025-08-14T20:54:49.8659110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52
2025-08-14T20:54:49.8660270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44-s
2025-08-14T20:54:49.8661500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh72
2025-08-14T20:54:49.8662930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-24
2025-08-14T20:54:49.8664180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh80
2025-08-14T20:54:49.8665380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+s
2025-08-14T20:54:49.8666560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-fc5
2025-08-14T20:54:49.8667760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-22
2025-08-14T20:54:49.8668970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt40
2025-08-14T20:54:49.8670030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go225
2025-08-14T20:54:49.8671090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-rv
2025-08-14T20:54:49.8672140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome
2025-08-14T20:54:49.8673330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2007
2025-08-14T20:54:49.8674380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gigi
2025-08-14T20:54:49.8675580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33
2025-08-14T20:54:49.8676800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2008
2025-08-14T20:54:49.8678060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-t
2025-08-14T20:54:49.8679350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos
2025-08-14T20:54:49.8680370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76
2025-08-14T20:54:49.8681510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/glasstty
2025-08-14T20:54:49.8682800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-256color
2025-08-14T20:54:49.8683930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430
2025-08-14T20:54:49.8684970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-rv
2025-08-14T20:54:49.8686070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-24
2025-08-14T20:54:49.8686930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+unk
2025-08-14T20:54:49.8687880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh90
2025-08-14T20:54:49.8688800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w
2025-08-14T20:54:49.8689700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-nctxt
2025-08-14T20:54:49.8690580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh62
2025-08-14T20:54:49.8691440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go-225
2025-08-14T20:54:49.8692320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100a
2025-08-14T20:54:49.8693200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100
2025-08-14T20:54:49.8694040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt42
2025-08-14T20:54:49.8694910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-s
2025-08-14T20:54:49.8695840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-lp
2025-08-14T20:54:49.8696690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140w
2025-08-14T20:54:49.8697630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos-30
2025-08-14T20:54:49.8698510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-s
2025-08-14T20:54:49.8699530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52t
2025-08-14T20:54:49.8700650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-wm
2025-08-14T20:54:49.8701240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4410-w
2025-08-14T20:54:49.8702140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4027ex
2025-08-14T20:54:49.8702970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4025ex
2025-08-14T20:54:49.8703830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/386at
2025-08-14T20:54:49.8704710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/3b1
2025-08-14T20:54:49.8705690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCR260VT300WPP
2025-08-14T20:54:49.8706590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCRVT100WPP
2025-08-14T20:54:49.8707560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-88color
2025-08-14T20:54:49.8708560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm
2025-08-14T20:54:49.8709820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-256color
2025-08-14T20:54:49.8715790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-color
2025-08-14T20:54:49.8716310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-nb
2025-08-14T20:54:49.8716810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scanset
2025-08-14T20:54:49.8717260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/swtp
2025-08-14T20:54:49.8717720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee-xsb
2025-08-14T20:54:49.8718200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek380
2025-08-14T20:54:49.8718690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-256color
2025-08-14T20:54:49.8719150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen5
2025-08-14T20:54:49.8719930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc140
2025-08-14T20:54:49.8721120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color
2025-08-14T20:54:49.8722070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen2
2025-08-14T20:54:49.8723330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-17
2025-08-14T20:54:49.8724440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty
2025-08-14T20:54:49.8725840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun
2025-08-14T20:54:49.8726960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-16color
2025-08-14T20:54:49.8728100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-256color
2025-08-14T20:54:49.8729380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen3
2025-08-14T20:54:49.8730490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen4
2025-08-14T20:54:49.8731800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole-256color
2025-08-14T20:54:49.8732820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/s4
2025-08-14T20:54:49.8734130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1
2025-08-14T20:54:49.8735430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce-s
2025-08-14T20:54:49.8736650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce
2025-08-14T20:54:49.8737780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel12-80
2025-08-14T20:54:49.8738990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee
2025-08-14T20:54:49.8739980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.7
2025-08-14T20:54:49.8741280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1b
2025-08-14T20:54:49.8742460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cgsix
2025-08-14T20:54:49.8743540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb3
2025-08-14T20:54:49.8744670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi
2025-08-14T20:54:49.8745890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole
2025-08-14T20:54:49.8746930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-m
2025-08-14T20:54:49.8748010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.6
2025-08-14T20:54:49.8749210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.rxvt
2025-08-14T20:54:49.8750480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-type4
2025-08-14T20:54:49.8751650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.8
2025-08-14T20:54:49.8752660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb2
2025-08-14T20:54:49.8754080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1b
2025-08-14T20:54:49.8755100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbeeic
2025-08-14T20:54:49.8756220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e-s
2025-08-14T20:54:49.8757300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cmd
2025-08-14T20:54:49.8758320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc
2025-08-14T20:54:49.8759540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.gnome
2025-08-14T20:54:49.8760780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-r6
2025-08-14T20:54:49.8761960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-s
2025-08-14T20:54:49.8763040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-c
2025-08-14T20:54:49.8764230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte
2025-08-14T20:54:49.8765280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sune
2025-08-14T20:54:49.8766610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1-nb
2025-08-14T20:54:49.8767710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-base
2025-08-14T20:54:49.8768970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.gnome
2025-08-14T20:54:49.8770270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m2
2025-08-14T20:54:49.8771460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun2
2025-08-14T20:54:49.8772590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-w
2025-08-14T20:54:49.8773890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-xfree86
2025-08-14T20:54:49.8775050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm
2025-08-14T20:54:49.8776210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-ss5
2025-08-14T20:54:49.8777350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e
2025-08-14T20:54:49.8778570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-nic
2025-08-14T20:54:49.8779880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm-256color
2025-08-14T20:54:49.8781080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.rxvt
2025-08-14T20:54:49.8782180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-34
2025-08-14T20:54:49.8783320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel2-80
2025-08-14T20:54:49.8784480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-direct
2025-08-14T20:54:49.8785690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simterm
2025-08-14T20:54:49.8786920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b
2025-08-14T20:54:49.8788000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc415
2025-08-14T20:54:49.8789110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sibo
2025-08-14T20:54:49.8790260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-old
2025-08-14T20:54:49.8791350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52
2025-08-14T20:54:49.8792630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-s
2025-08-14T20:54:49.8793840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.xterm-new
2025-08-14T20:54:49.8794770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st
2025-08-14T20:54:49.8795980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-color
2025-08-14T20:54:49.8797070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbobcat
2025-08-14T20:54:49.8798310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux
2025-08-14T20:54:49.8799390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-12
2025-08-14T20:54:49.8800710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce-s
2025-08-14T20:54:49.8802030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+italics
2025-08-14T20:54:49.8803330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-24
2025-08-14T20:54:49.8804550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m2
2025-08-14T20:54:49.8805940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.linux
2025-08-14T20:54:49.8807070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screwpoint
2025-08-14T20:54:49.8808250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc120
2025-08-14T20:54:49.8809280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-48
2025-08-14T20:54:49.8810440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simpleterm
2025-08-14T20:54:49.8811590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek
2025-08-14T20:54:49.8812710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrt
2025-08-14T20:54:49.8813870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen
2025-08-14T20:54:49.8814940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-il
2025-08-14T20:54:49.8816120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce
2025-08-14T20:54:49.8817370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbi
2025-08-14T20:54:49.8818410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb1
2025-08-14T20:54:49.8819970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-256color
2025-08-14T20:54:49.8821070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52
2025-08-14T20:54:49.8822170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrhp
2025-08-14T20:54:49.8823460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-16color
2025-08-14T20:54:49.8824630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-new
2025-08-14T20:54:49.8825890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbrain
2025-08-14T20:54:49.8827170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-s
2025-08-14T20:54:49.8828160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sv80
2025-08-14T20:54:49.8829380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm
2025-08-14T20:54:49.8830800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte-256color
2025-08-14T20:54:49.8832100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-256color
2025-08-14T20:54:49.8833320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.mrxvt
2025-08-14T20:54:49.8834620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-old
2025-08-14T20:54:49.8835830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.Eterm
2025-08-14T20:54:49.8837000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/spinwriter
2025-08-14T20:54:49.8838160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-s
2025-08-14T20:54:49.8839420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun1
2025-08-14T20:54:49.8840900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.teraterm
2025-08-14T20:54:49.8842170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.Eterm
2025-08-14T20:54:49.8843370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mrxvt
2025-08-14T20:54:49.8844670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce
2025-08-14T20:54:49.8845860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s
2025-08-14T20:54:49.8847010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52pc
2025-08-14T20:54:49.8848410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-80
2025-08-14T20:54:49.8849540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/system1
2025-08-14T20:54:49.8850820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1
2025-08-14T20:54:49.8851850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-1
2025-08-14T20:54:49.8852950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-color
2025-08-14T20:54:49.8854370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-new
2025-08-14T20:54:49.8855710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color
2025-08-14T20:54:49.8856990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+fkeys
2025-08-14T20:54:49.8858300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.konsole
2025-08-14T20:54:49.8859500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun+sl
2025-08-14T20:54:49.8860800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc410
2025-08-14T20:54:49.8861870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s-e
2025-08-14T20:54:49.8863130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1
2025-08-14T20:54:49.8864480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/securecrt
2025-08-14T20:54:49.8865680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424
2025-08-14T20:54:49.8866800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52
2025-08-14T20:54:49.8867980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-vb
2025-08-14T20:54:49.8869090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-s
2025-08-14T20:54:49.8870320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-2p
2025-08-14T20:54:49.8871460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-rv
2025-08-14T20:54:49.8872580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-15
2025-08-14T20:54:49.8873830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-1
2025-08-14T20:54:49.8874900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek
2025-08-14T20:54:49.8876060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926-8
2025-08-14T20:54:49.8877250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc
2025-08-14T20:54:49.8878510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb
2025-08-14T20:54:49.8879760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925-hi
2025-08-14T20:54:49.8880770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty33
2025-08-14T20:54:49.8882040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027-ex
2025-08-14T20:54:49.8883160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107
2025-08-14T20:54:49.8884160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928-8
2025-08-14T20:54:49.8885110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv
2025-08-14T20:54:49.8886080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-p
2025-08-14T20:54:49.8886990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-unk
2025-08-14T20:54:49.8887820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ttydmd
2025-08-14T20:54:49.8888770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-2p
2025-08-14T20:54:49.8889660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109
2025-08-14T20:54:49.8890490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty35
2025-08-14T20:54:49.8891440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-2p
2025-08-14T20:54:49.8892390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8-132
2025-08-14T20:54:49.8893410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-unk
2025-08-14T20:54:49.8894150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti931
2025-08-14T20:54:49.8895060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-vb
2025-08-14T20:54:49.8895930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425
2025-08-14T20:54:49.8896770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1p
2025-08-14T20:54:49.8897640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920
2025-08-14T20:54:49.8898570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-34
2025-08-14T20:54:49.8899430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi9065
2025-08-14T20:54:49.8900400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-2p
2025-08-14T20:54:49.8901320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-p
2025-08-14T20:54:49.8902300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+printer
2025-08-14T20:54:49.8903210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-2p
2025-08-14T20:54:49.8904030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t16
2025-08-14T20:54:49.8904900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c
2025-08-14T20:54:49.8905850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-vb
2025-08-14T20:54:49.8906730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tgtelnet
2025-08-14T20:54:49.8907670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk
2025-08-14T20:54:49.8908800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027
2025-08-14T20:54:49.8910160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology
2025-08-14T20:54:49.8911500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620
2025-08-14T20:54:49.8912740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-vb
2025-08-14T20:54:49.8913960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b+fn
2025-08-14T20:54:49.8915090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103-sna
2025-08-14T20:54:49.8916300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105-30
2025-08-14T20:54:49.8917520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2102-sna
2025-08-14T20:54:49.8918810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17-ws
2025-08-14T20:54:49.8919940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b
2025-08-14T20:54:49.8921140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc
2025-08-14T20:54:49.8922180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910
2025-08-14T20:54:49.8923300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb
2025-08-14T20:54:49.8924570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424-1
2025-08-14T20:54:49.8925690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t10
2025-08-14T20:54:49.8926920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk
2025-08-14T20:54:49.8928130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707
2025-08-14T20:54:49.8929150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi921
2025-08-14T20:54:49.8930230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti700
2025-08-14T20:54:49.8931380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4404
2025-08-14T20:54:49.8932580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p
2025-08-14T20:54:49.8933670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-2p
2025-08-14T20:54:49.8934760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken
2025-08-14T20:54:49.8935810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt52
2025-08-14T20:54:49.8936960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025a
2025-08-14T20:54:49.8938130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-p
2025-08-14T20:54:49.8939380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-2p
2025-08-14T20:54:49.8940740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1-w
2025-08-14T20:54:49.8941910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs2
2025-08-14T20:54:49.8943130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-2p
2025-08-14T20:54:49.8944220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950
2025-08-14T20:54:49.8945220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924
2025-08-14T20:54:49.8946390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-m
2025-08-14T20:54:49.8947500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-132
2025-08-14T20:54:49.8948780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-nl
2025-08-14T20:54:49.8949980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-w
2025-08-14T20:54:49.8951080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv
2025-08-14T20:54:49.8952360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-vb
2025-08-14T20:54:49.8953770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-vb
2025-08-14T20:54:49.8954840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-2p
2025-08-14T20:54:49.8956050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207
2025-08-14T20:54:49.8957330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.59
2025-08-14T20:54:49.8958460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912cc
2025-08-14T20:54:49.8959790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-unk
2025-08-14T20:54:49.8961080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3800
2025-08-14T20:54:49.8962300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-vb
2025-08-14T20:54:49.8963540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.0.0
2025-08-14T20:54:49.8964670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw100
2025-08-14T20:54:49.8965770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+dim
2025-08-14T20:54:49.8966990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet300
2025-08-14T20:54:49.8968220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2018
2025-08-14T20:54:49.8969280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703-w
2025-08-14T20:54:49.8970360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty43
2025-08-14T20:54:49.8971720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113
2025-08-14T20:54:49.8972970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-16color
2025-08-14T20:54:49.8974290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminator
2025-08-14T20:54:49.8975530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4114
2025-08-14T20:54:49.8976750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti_ansi
2025-08-14T20:54:49.8977970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-ctxt
2025-08-14T20:54:49.8979160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-nl
2025-08-14T20:54:49.8980380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teletec
2025-08-14T20:54:49.8981560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1p
2025-08-14T20:54:49.8982870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-unk
2025-08-14T20:54:49.8984020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-vb
2025-08-14T20:54:49.8985290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4125
2025-08-14T20:54:49.8986510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-4p
2025-08-14T20:54:49.8987640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100
2025-08-14T20:54:49.8988880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p
2025-08-14T20:54:49.8990190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410-w
2025-08-14T20:54:49.8991350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-p
2025-08-14T20:54:49.8992370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab
2025-08-14T20:54:49.8993490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707-w
2025-08-14T20:54:49.8994580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p
2025-08-14T20:54:49.8995670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-w
2025-08-14T20:54:49.8996940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-2p
2025-08-14T20:54:49.8997970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-34
2025-08-14T20:54:49.8999150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p
2025-08-14T20:54:49.9000290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4115
2025-08-14T20:54:49.9001520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-vb
2025-08-14T20:54:49.9002650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112
2025-08-14T20:54:49.9003910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet1200
2025-08-14T20:54:49.9005200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3700
2025-08-14T20:54:49.9006350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc+fkeys
2025-08-14T20:54:49.9007620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061f
2025-08-14T20:54:49.9008650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty37
2025-08-14T20:54:49.9009730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c
2025-08-14T20:54:49.9010950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061
2025-08-14T20:54:49.9012160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi803
2025-08-14T20:54:49.9013390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn1200
2025-08-14T20:54:49.9014550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8
2025-08-14T20:54:49.9015790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-unk
2025-08-14T20:54:49.9016990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt+fkeys
2025-08-14T20:54:49.9018060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-sp
2025-08-14T20:54:49.9019150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4420
2025-08-14T20:54:49.9020450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-mc
2025-08-14T20:54:49.9021570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424m
2025-08-14T20:54:49.9022790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105
2025-08-14T20:54:49.9024030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015-sm
2025-08-14T20:54:49.9025250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-mc
2025-08-14T20:54:49.9026470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet
2025-08-14T20:54:49.9027640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b
2025-08-14T20:54:49.9028790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w
2025-08-14T20:54:49.9030020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w-rv
2025-08-14T20:54:49.9031120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teleray
2025-08-14T20:54:49.9032110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trsII
2025-08-14T20:54:49.9033340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+vb
2025-08-14T20:54:49.9034610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-2p
2025-08-14T20:54:49.9035960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-p
2025-08-14T20:54:49.9037220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109brl
2025-08-14T20:54:49.9038400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4426
2025-08-14T20:54:49.9039580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p
2025-08-14T20:54:49.9040890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-2p
2025-08-14T20:54:49.9042190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv
2025-08-14T20:54:49.9043360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-5
2025-08-14T20:54:49.9044540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-256color
2025-08-14T20:54:49.9045730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi924
2025-08-14T20:54:49.9046900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv-nl
2025-08-14T20:54:49.9048090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8w
2025-08-14T20:54:49.9049250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-p
2025-08-14T20:54:49.9050460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w
2025-08-14T20:54:49.9051490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1
2025-08-14T20:54:49.9052720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-2p
2025-08-14T20:54:49.9053890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws-generic
2025-08-14T20:54:49.9055030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem6510
2025-08-14T20:54:49.9056340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm-256color
2025-08-14T20:54:49.9057580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-mc
2025-08-14T20:54:49.9058740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912
2025-08-14T20:54:49.9059760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm
2025-08-14T20:54:49.9060950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti733
2025-08-14T20:54:49.9062130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025
2025-08-14T20:54:49.9063410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+mc
2025-08-14T20:54:49.9064640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410
2025-08-14T20:54:49.9065670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92D
2025-08-14T20:54:49.9066940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-vb
2025-08-14T20:54:49.9068060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014
2025-08-14T20:54:49.9069340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt
2025-08-14T20:54:49.9070630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p
2025-08-14T20:54:49.9071830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4013
2025-08-14T20:54:49.9073060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970
2025-08-14T20:54:49.9074330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk
2025-08-14T20:54:49.9075430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi914
2025-08-14T20:54:49.9076700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti735
2025-08-14T20:54:49.9077760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux
2025-08-14T20:54:49.9078880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703
2025-08-14T20:54:49.9079950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925
2025-08-14T20:54:49.9081020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t653x
2025-08-14T20:54:49.9082510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-color
2025-08-14T20:54:49.9083600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs16
2025-08-14T20:54:49.9084510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4012
2025-08-14T20:54:49.9085360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420
2025-08-14T20:54:49.9086330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs80II
2025-08-14T20:54:49.9087140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015
2025-08-14T20:54:49.9088020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc
2025-08-14T20:54:49.9088930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p
2025-08-14T20:54:49.9089880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-unk
2025-08-14T20:54:49.9090730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132
2025-08-14T20:54:49.9091600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4023
2025-08-14T20:54:49.9092510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p
2025-08-14T20:54:49.9093420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem653
2025-08-14T20:54:49.9094280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4024
2025-08-14T20:54:49.9095250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-mc
2025-08-14T20:54:49.9096120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-hb
2025-08-14T20:54:49.9096980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92B
2025-08-14T20:54:49.9097910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk
2025-08-14T20:54:49.9098810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014-sm
2025-08-14T20:54:49.9099770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-nl
2025-08-14T20:54:49.9100620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916
2025-08-14T20:54:49.9101510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4205
2025-08-14T20:54:49.9102470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-p
2025-08-14T20:54:49.9103360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.97
2025-08-14T20:54:49.9104260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-cr
2025-08-14T20:54:49.9105150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-nd
2025-08-14T20:54:49.9106120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-mc
2025-08-14T20:54:49.9107030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-unk
2025-08-14T20:54:49.9107950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-direct
2025-08-14T20:54:49.9108890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-220-7
2025-08-14T20:54:49.9109770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107brl
2025-08-14T20:54:49.9110590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1
2025-08-14T20:54:49.9111450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926
2025-08-14T20:54:49.9112430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-2p
2025-08-14T20:54:49.9113250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924w
2025-08-14T20:54:49.9114190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn300
2025-08-14T20:54:49.9115060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955
2025-08-14T20:54:49.9116030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-4p
2025-08-14T20:54:49.9116800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928
2025-08-14T20:54:49.9117720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc
2025-08-14T20:54:49.9118610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb
2025-08-14T20:54:49.9119450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti745
2025-08-14T20:54:49.9120330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103
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2025-08-14T20:54:49.9122180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-24
2025-08-14T20:54:49.9123070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1
2025-08-14T20:54:49.9123980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420+nl
2025-08-14T20:54:49.9124880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025ex
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2025-08-14T20:54:49.9127710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-vb
2025-08-14T20:54:49.9128560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti800
2025-08-14T20:54:49.9129450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-vb
2025-08-14T20:54:49.9130400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv-n
2025-08-14T20:54:49.9135350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+2p
2025-08-14T20:54:49.9135680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty40
2025-08-14T20:54:49.9135900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-vb
2025-08-14T20:54:49.9136110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-2p
2025-08-14T20:54:49.9136310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc
2025-08-14T20:54:49.9136520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb
2025-08-14T20:54:49.9136700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt
2025-08-14T20:54:49.9137450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207-s
2025-08-14T20:54:49.9138400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-mc
2025-08-14T20:54:49.9139390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8
2025-08-14T20:54:49.9140380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm2.3
2025-08-14T20:54:49.9141670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-0.6.1
2025-08-14T20:54:49.9143020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910+
2025-08-14T20:54:49.9144170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvipt
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2025-08-14T20:54:49.9146600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/termite
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2025-08-14T20:54:49.9149110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105a
2025-08-14T20:54:49.9150280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-nd
2025-08-14T20:54:49.9151420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2022
2025-08-14T20:54:49.9152700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17
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2025-08-14T20:54:49.9155320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4106brl
2025-08-14T20:54:49.9156550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.8.1
2025-08-14T20:54:49.9157730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tkterm
2025-08-14T20:54:49.9158940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4c/LFT-PC850
2025-08-14T20:54:49.9160110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb162
2025-08-14T20:54:49.9161280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb
2025-08-14T20:54:49.9162530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb204
2025-08-14T20:54:49.9163620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uniterm
2025-08-14T20:54:49.9164790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultima2
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2025-08-14T20:54:49.9167070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uts30
2025-08-14T20:54:49.9168150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultimaII
2025-08-14T20:54:49.9169360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/unixpc
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2025-08-14T20:54:49.9171870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uwin
2025-08-14T20:54:49.9173200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rebus3180
2025-08-14T20:54:49.9174320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-w
2025-08-14T20:54:49.9175620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+version
2025-08-14T20:54:49.9177000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-xpm
2025-08-14T20:54:49.9178100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rtpc
2025-08-14T20:54:49.9179520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-16color
2025-08-14T20:54:49.9180940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin-native
2025-08-14T20:54:49.9182110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent200
2025-08-14T20:54:49.9183390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221
2025-08-14T20:54:49.9184640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-nam
2025-08-14T20:54:49.9185840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm
2025-08-14T20:54:49.9187100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-88color
2025-08-14T20:54:49.9188450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons
2025-08-14T20:54:49.9189790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin
2025-08-14T20:54:49.9190870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40
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2025-08-14T20:54:49.9193200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent25
2025-08-14T20:54:49.9194410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+da2
2025-08-14T20:54:49.9195490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt
2025-08-14T20:54:49.9196820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent60
2025-08-14T20:54:49.9198020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio
2025-08-14T20:54:49.9199170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rca
2025-08-14T20:54:49.9200400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-color
2025-08-14T20:54:49.9201680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-256color
2025-08-14T20:54:49.9202800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221-w
2025-08-14T20:54:49.9204130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-basic
2025-08-14T20:54:49.9205440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons-color
2025-08-14T20:54:49.9206610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio-direct
2025-08-14T20:54:49.9207810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40+
2025-08-14T20:54:49.9209140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt+pcfkeys
2025-08-14T20:54:49.9210290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent
2025-08-14T20:54:49.9211450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent20
2025-08-14T20:54:49.9212750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt100
2025-08-14T20:54:49.9213790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm
2025-08-14T20:54:49.9215030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-direct
2025-08-14T20:54:49.9216210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-base
2025-08-14T20:54:49.9217410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr
2025-08-14T20:54:49.9218500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372-w
2025-08-14T20:54:49.9219740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-color
2025-08-14T20:54:49.9221100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt420pc
2025-08-14T20:54:49.9222140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kvt
2025-08-14T20:54:49.9223290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro
2025-08-14T20:54:49.9224390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole
2025-08-14T20:54:49.9225620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-solaris
2025-08-14T20:54:49.9226770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-linux
2025-08-14T20:54:49.9227870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/ktm
2025-08-14T20:54:49.9229220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr-dumb
2025-08-14T20:54:49.9230310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+common
2025-08-14T20:54:49.9231770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-16color
2025-08-14T20:54:49.9232820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/k45
2025-08-14T20:54:49.9233890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit-am
2025-08-14T20:54:49.9234980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds6402
2025-08-14T20:54:49.9236050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372
2025-08-14T20:54:49.9237370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+acs
2025-08-14T20:54:49.9238470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+setal
2025-08-14T20:54:49.9239720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole+pcfkeys
2025-08-14T20:54:49.9240930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf3x
2025-08-14T20:54:49.9242020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7ix
2025-08-14T20:54:49.9243380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-256color
2025-08-14T20:54:49.9244490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit
2025-08-14T20:54:49.9245680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty-direct
2025-08-14T20:54:49.9246810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7
2025-08-14T20:54:49.9248020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+color
2025-08-14T20:54:49.9249120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty
2025-08-14T20:54:49.9250330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-co
2025-08-14T20:54:49.9251530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+koi8acs
2025-08-14T20:54:49.9252740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr8
2025-08-14T20:54:49.9253940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf4x
2025-08-14T20:54:49.9254940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon
2025-08-14T20:54:49.9256280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro2
2025-08-14T20:54:49.9257420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon2
2025-08-14T20:54:49.9258660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/38/8510
2025-08-14T20:54:49.9259940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm
2025-08-14T20:54:49.9261330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc-nl
2025-08-14T20:54:49.9262660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy60wpp
2025-08-14T20:54:49.9263820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build309
2025-08-14T20:54:49.9264900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517
2025-08-14T20:54:49.9266120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wpp
2025-08-14T20:54:49.9267520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w
2025-08-14T20:54:49.9268860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+pp
2025-08-14T20:54:49.9269980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28-a
2025-08-14T20:54:49.9271090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25
2025-08-14T20:54:49.9272320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29-euc
2025-08-14T20:54:49.9273520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/next
2025-08-14T20:54:49.9274650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-511
2025-08-14T20:54:49.9275570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-s
2025-08-14T20:54:49.9276460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/netbsd6
2025-08-14T20:54:49.9277400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50-w
2025-08-14T20:54:49.9278360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-nti
2025-08-14T20:54:49.9279290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-7
2025-08-14T20:54:49.9280270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build440
2025-08-14T20:54:49.9281180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100an
2025-08-14T20:54:49.9282060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt+sl
2025-08-14T20:54:49.9283000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100pp
2025-08-14T20:54:49.9283940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhpkeyboard
2025-08-14T20:54:49.9284850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42-sjis
2025-08-14T20:54:49.9285750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vpwpp
2025-08-14T20:54:49.9286600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nxterm
2025-08-14T20:54:49.9287760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501
2025-08-14T20:54:49.9288430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisysk
2025-08-14T20:54:49.9289350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200an
2025-08-14T20:54:49.9290280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300pp
2025-08-14T20:54:49.9291210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325wpp
2025-08-14T20:54:49.9292110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vp+sl
2025-08-14T20:54:49.9292970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40
2025-08-14T20:54:49.9293930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-w
2025-08-14T20:54:49.9294880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350wpp
2025-08-14T20:54:49.9295810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wpp
2025-08-14T20:54:49.9296760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100
2025-08-14T20:54:49.9297690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-vt220-8
2025-08-14T20:54:49.9298560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-a
2025-08-14T20:54:49.9299480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-o
2025-08-14T20:54:49.9300480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300an
2025-08-14T20:54:49.9301350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200pp
2025-08-14T20:54:49.9302290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wpp
2025-08-14T20:54:49.9303140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500
2025-08-14T20:54:49.9304020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-o
2025-08-14T20:54:49.9304890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-a
2025-08-14T20:54:49.9305890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100-nti
2025-08-14T20:54:49.9306780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-o
2025-08-14T20:54:49.9307630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m
2025-08-14T20:54:49.9308540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc
2025-08-14T20:54:49.9309410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+s
2025-08-14T20:54:49.9310340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-nl
2025-08-14T20:54:49.9311200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-a
2025-08-14T20:54:49.9312070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c
2025-08-14T20:54:49.9312960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec5520
2025-08-14T20:54:49.9313910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325pp
2025-08-14T20:54:49.9314840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wan
2025-08-14T20:54:49.9315730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-s
2025-08-14T20:54:49.9316590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-o
2025-08-14T20:54:49.9317460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31
2025-08-14T20:54:49.9318540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300wan
2025-08-14T20:54:49.9319600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-o
2025-08-14T20:54:49.9320840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100wan
2025-08-14T20:54:49.9322090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-old-unk
2025-08-14T20:54:49.9323330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-a
2025-08-14T20:54:49.9324440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-a
2025-08-14T20:54:49.9325670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s-acs
2025-08-14T20:54:49.9326840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+7
2025-08-14T20:54:49.9328270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build400
2025-08-14T20:54:49.9329410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-bce
2025-08-14T20:54:49.9330550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100an
2025-08-14T20:54:49.9331720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc-nl
2025-08-14T20:54:49.9332880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisys
2025-08-14T20:54:49.9334190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+acs
2025-08-14T20:54:49.9335280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w
2025-08-14T20:54:49.9336480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-acs
2025-08-14T20:54:49.9337680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-sjis
2025-08-14T20:54:49.9338750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m
2025-08-14T20:54:49.9339970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s-acs
2025-08-14T20:54:49.9341040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518
2025-08-14T20:54:49.9342180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp511
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2025-08-14T20:54:49.9344610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517-w
2025-08-14T20:54:49.9345910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwan
2025-08-14T20:54:49.9347200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c-s
2025-08-14T20:54:49.9348320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s
2025-08-14T20:54:49.9349620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350pp
2025-08-14T20:54:49.9350910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c41
2025-08-14T20:54:49.9352060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517
2025-08-14T20:54:49.9353220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa
2025-08-14T20:54:49.9354430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31-a
2025-08-14T20:54:49.9355730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intan
2025-08-14T20:54:49.9356870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhp
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2025-08-14T20:54:49.9359220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s
2025-08-14T20:54:49.9360400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wan
2025-08-14T20:54:49.9361590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/n7900
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2025-08-14T20:54:49.9364130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+wpp
2025-08-14T20:54:49.9365350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25
2025-08-14T20:54:49.9366510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nd9500
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2025-08-14T20:54:49.9368830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m-s
2025-08-14T20:54:49.9370160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50
2025-08-14T20:54:49.9371420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build361
2025-08-14T20:54:49.9372780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vpwpp
2025-08-14T20:54:49.9373960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900iv
2025-08-14T20:54:49.9375190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-acs
2025-08-14T20:54:49.9376380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7901
2025-08-14T20:54:49.9377680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wan
2025-08-14T20:54:49.9378800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sysk
2025-08-14T20:54:49.9380120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300pp
2025-08-14T20:54:49.9381260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200an
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2025-08-14T20:54:49.9383890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wan
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2025-08-14T20:54:49.9386310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200pp
2025-08-14T20:54:49.9387490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300an
2025-08-14T20:54:49.9388690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-c-s
2025-08-14T20:54:49.9389940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c
2025-08-14T20:54:49.9391170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35
2025-08-14T20:54:49.9392540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-nti
2025-08-14T20:54:49.9393840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517-w
2025-08-14T20:54:49.9394970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m
2025-08-14T20:54:49.9396270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-acs
2025-08-14T20:54:49.9397630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w-vt
2025-08-14T20:54:49.9398750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900
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2025-08-14T20:54:49.9402310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100an
2025-08-14T20:54:49.9403420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-old
2025-08-14T20:54:49.9404600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs
2025-08-14T20:54:49.9405790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100pp
2025-08-14T20:54:49.9406950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm33
2025-08-14T20:54:49.9408040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news
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2025-08-14T20:54:49.9410360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33
2025-08-14T20:54:49.9411640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/no+brackets
2025-08-14T20:54:49.9412780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-unk
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2025-08-14T20:54:49.9416570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-direct
2025-08-14T20:54:49.9417640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-a
2025-08-14T20:54:49.9418940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-256color
2025-08-14T20:54:49.9420040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news29
2025-08-14T20:54:49.9421400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m-ns
2025-08-14T20:54:49.9422560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-o
2025-08-14T20:54:49.9423890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm-a
2025-08-14T20:54:49.9425140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-nl
2025-08-14T20:54:49.9426400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-ns
2025-08-14T20:54:49.9427530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc
2025-08-14T20:54:49.9428880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-nti
2025-08-14T20:54:49.9429970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec
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2025-08-14T20:54:49.9432480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+wpp
2025-08-14T20:54:49.9433630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wan
2025-08-14T20:54:49.9434790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+pp
2025-08-14T20:54:49.9436010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-16color
2025-08-14T20:54:49.9437080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28
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2025-08-14T20:54:49.9439510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-w
2025-08-14T20:54:49.9440700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vppp
2025-08-14T20:54:49.9441800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7
2025-08-14T20:54:49.9443030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w-vt
2025-08-14T20:54:49.9444280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wpp
2025-08-14T20:54:49.9445570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intpp
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2025-08-14T20:54:49.9448170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c
2025-08-14T20:54:49.9449470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy60pp
2025-08-14T20:54:49.9450710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42
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2025-08-14T20:54:49.9453340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news33
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2025-08-14T20:54:49.9456970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwpp
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2025-08-14T20:54:49.9459660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29
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2025-08-14T20:54:49.9470080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/northstar
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2025-08-14T20:54:49.9474950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wpp
2025-08-14T20:54:49.9476280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sys
2025-08-14T20:54:49.9477680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build326
2025-08-14T20:54:49.9478780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-o
2025-08-14T20:54:49.9479880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513
2025-08-14T20:54:49.9481160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514
2025-08-14T20:54:49.9482300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole
2025-08-14T20:54:49.9483630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build343
2025-08-14T20:54:49.9484730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-a
2025-08-14T20:54:49.9486080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-euc
2025-08-14T20:54:49.9487140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053-dg
2025-08-14T20:54:49.9488360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x-dg
2025-08-14T20:54:49.9489410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053
2025-08-14T20:54:49.9490460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x
2025-08-14T20:54:49.9491620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630MTG-24
2025-08-14T20:54:49.9492780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630-lm
2025-08-14T20:54:49.9494010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1178
2025-08-14T20:54:49.9495050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1730-lm
2025-08-14T20:54:49.9496160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-w
2025-08-14T20:54:49.9497300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu-220
2025-08-14T20:54:49.9498350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu
2025-08-14T20:54:49.9499490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62
2025-08-14T20:54:49.9500610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64
2025-08-14T20:54:49.9501900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+italics
2025-08-14T20:54:49.9503000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ex155
2025-08-14T20:54:49.9504170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+sgr
2025-08-14T20:54:49.9505440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+strikeout
2025-08-14T20:54:49.9506530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-rv
2025-08-14T20:54:49.9507820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-vt52
2025-08-14T20:54:49.9508990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4000
2025-08-14T20:54:49.9510200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+index
2025-08-14T20:54:49.9511370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep48
2025-08-14T20:54:49.9512680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-glasstty
2025-08-14T20:54:49.9513890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emx-base
2025-08-14T20:54:49.9515230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+color
2025-08-14T20:54:49.9516250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep40
2025-08-14T20:54:49.9517310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4080
2025-08-14T20:54:49.9518460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-rv
2025-08-14T20:54:49.9519600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/env230
2025-08-14T20:54:49.9520690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-w
2025-08-14T20:54:49.9522040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/envision230
2025-08-14T20:54:49.9523200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ergo4000
2025-08-14T20:54:49.9524520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-ansi
2025-08-14T20:54:49.9525740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit-am
2025-08-14T20:54:49.9526820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emots
2025-08-14T20:54:49.9527930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit
2025-08-14T20:54:49.9529050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks
2025-08-14T20:54:49.9530330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm
2025-08-14T20:54:49.9531520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/exec80
2025-08-14T20:54:49.9532710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm-color
2025-08-14T20:54:49.9533850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510a
2025-08-14T20:54:49.9535110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w-rv
2025-08-14T20:54:49.9536300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8
2025-08-14T20:54:49.9537590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-nobold
2025-08-14T20:54:49.9538560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0
2025-08-14T20:54:49.9539750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/b-128
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2025-08-14T20:54:49.9542150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc
2025-08-14T20:54:49.9543390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc
2025-08-14T20:54:49.9544600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10rv
2025-08-14T20:54:49.9545760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bee
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2025-08-14T20:54:49.9547960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh4
2025-08-14T20:54:49.9549270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehiveIIIm
2025-08-14T20:54:49.9550330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-m
2025-08-14T20:54:49.9551490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-rv
2025-08-14T20:54:49.9552720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bracketed+paste
2025-08-14T20:54:49.9553860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc
2025-08-14T20:54:49.9555040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10nv
2025-08-14T20:54:49.9556330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-w
2025-08-14T20:54:49.9557480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8rv
2025-08-14T20:54:49.9558630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-rv
2025-08-14T20:54:49.9559680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basic4
2025-08-14T20:54:49.9560960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510d
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2025-08-14T20:54:49.9563250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive
2025-08-14T20:54:49.9564390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w
2025-08-14T20:54:49.9565510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25nv
2025-08-14T20:54:49.9566640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0nv
2025-08-14T20:54:49.9567960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bantam
2025-08-14T20:54:49.9569130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bobcat
2025-08-14T20:54:49.9570410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10
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2025-08-14T20:54:49.9572730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh3m
2025-08-14T20:54:49.9573870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bitgraph
2025-08-14T20:54:49.9575000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w-rv
2025-08-14T20:54:49.9576070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bterm
2025-08-14T20:54:49.9577360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-mono
2025-08-14T20:54:49.9578420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25rv
2025-08-14T20:54:49.9579620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0rv
2025-08-14T20:54:49.9580830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-sparc
2025-08-14T20:54:49.9582060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive4
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2025-08-14T20:54:49.9584350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beterm
2025-08-14T20:54:49.9585440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basis
2025-08-14T20:54:49.9586430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/blit
2025-08-14T20:54:49.9587770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-ppc
2025-08-14T20:54:49.9588940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25
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2025-08-14T20:54:49.9591370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w
2025-08-14T20:54:49.9592520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beacon
2025-08-14T20:54:49.9593740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTGr
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2025-08-14T20:54:49.9599810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime314
2025-08-14T20:54:49.9600920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh
2025-08-14T20:54:49.9602100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227
2025-08-14T20:54:49.9603320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mouse-sun
2025-08-14T20:54:49.9604490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mai
2025-08-14T20:54:49.9605710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mterm-ansi
2025-08-14T20:54:49.9606890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt70
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2025-08-14T20:54:49.9611770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgterm
2025-08-14T20:54:49.9613250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu-color
2025-08-14T20:54:49.9614280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227
2025-08-14T20:54:49.9615470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old
2025-08-14T20:54:49.9616640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty+common
2025-08-14T20:54:49.9617830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-fb
2025-08-14T20:54:49.9618980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp
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2025-08-14T20:54:49.9623400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mvterm
2025-08-14T20:54:49.9624540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt-70
2025-08-14T20:54:49.9625750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old-am
2025-08-14T20:54:49.9626970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt-256color
2025-08-14T20:54:49.9628160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm2
2025-08-14T20:54:49.9629560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macintosh
2025-08-14T20:54:49.9630740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macterminal-w
2025-08-14T20:54:49.9632010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100
2025-08-14T20:54:49.9633220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu
2025-08-14T20:54:49.9634410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac-w
2025-08-14T20:54:49.9635580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm5
2025-08-14T20:54:49.9636740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/m2-nam
2025-08-14T20:54:49.9638020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227am
2025-08-14T20:54:49.9639260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm3
2025-08-14T20:54:49.9640490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-v
2025-08-14T20:54:49.9641790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a
2025-08-14T20:54:49.9643010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.7
2025-08-14T20:54:49.9644120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel2-80
2025-08-14T20:54:49.9645260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph2
2025-08-14T20:54:49.9646520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1-nb
2025-08-14T20:54:49.9647630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-hb
2025-08-14T20:54:49.9648700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227am
2025-08-14T20:54:49.9649960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimeii
2025-08-14T20:54:49.9651200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-80
2025-08-14T20:54:49.9652500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microbee
2025-08-14T20:54:49.9653660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh-256color
2025-08-14T20:54:49.9654840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-direct
2025-08-14T20:54:49.9656120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-16color
2025-08-14T20:54:49.9657180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-linux
2025-08-14T20:54:49.9658510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit22714
2025-08-14T20:54:49.9659690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty-direct
2025-08-14T20:54:49.9660900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mostlike
2025-08-14T20:54:49.9662170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-sun
2025-08-14T20:54:49.9663160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac
2025-08-14T20:54:49.9664600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1
2025-08-14T20:54:49.9665730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgt
2025-08-14T20:54:49.9666990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-3ax
2025-08-14T20:54:49.9668260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-256color
2025-08-14T20:54:49.9669580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel12-80
2025-08-14T20:54:49.9670750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph
2025-08-14T20:54:49.9671750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr
2025-08-14T20:54:49.9672860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm
2025-08-14T20:54:49.9674110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm+pcfkeys
2025-08-14T20:54:49.9675220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp1
2025-08-14T20:54:49.9676530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-color
2025-08-14T20:54:49.9677370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime1
2025-08-14T20:54:49.9678200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm314
2025-08-14T20:54:49.9679080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3a
2025-08-14T20:54:49.9679910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm340
2025-08-14T20:54:49.9680810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt4520-rv
2025-08-14T20:54:49.9681690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/megatek
2025-08-14T20:54:49.9682630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2-nam
2025-08-14T20:54:49.9683560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-nb
2025-08-14T20:54:49.9684440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2
2025-08-14T20:54:49.9685330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mono-emx
2025-08-14T20:54:49.9686150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime
2025-08-14T20:54:49.9687060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk22714
2025-08-14T20:54:49.9687920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mdl110
2025-08-14T20:54:49.9688840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimei
2025-08-14T20:54:49.9689640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach
2025-08-14T20:54:49.9690530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-s
2025-08-14T20:54:49.9691470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.5
2025-08-14T20:54:49.9692330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microb
2025-08-14T20:54:49.9693170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/memhp
2025-08-14T20:54:49.9694050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty
2025-08-14T20:54:49.9694900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm
2025-08-14T20:54:49.9695920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-color
2025-08-14T20:54:49.9696960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-3.0
2025-08-14T20:54:49.9698100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3ax
2025-08-14T20:54:49.9699190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100+
2025-08-14T20:54:49.9700390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/morphos
2025-08-14T20:54:49.9701450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel
2025-08-14T20:54:49.9702520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix
2025-08-14T20:54:49.9703780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mod
2025-08-14T20:54:49.9705080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-bold
2025-08-14T20:54:49.9706270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b
2025-08-14T20:54:49.9707440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-terminal
2025-08-14T20:54:49.9708550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt
2025-08-14T20:54:49.9709970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt-utf8
2025-08-14T20:54:49.9711160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm-w
2025-08-14T20:54:49.9712240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux3.0
2025-08-14T20:54:49.9713520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+sfkeys
2025-08-14T20:54:49.9714620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m2
2025-08-14T20:54:49.9715720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna
2025-08-14T20:54:49.9716790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-lat
2025-08-14T20:54:49.9717830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna68k
2025-08-14T20:54:49.9719180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8r
2025-08-14T20:54:49.9720270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/la120
2025-08-14T20:54:49.9721420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft-pc850
2025-08-14T20:54:49.9722540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.2
2025-08-14T20:54:49.9723680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-s
2025-08-14T20:54:49.9724950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+decid
2025-08-14T20:54:49.9726030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm
2025-08-14T20:54:49.9727300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-16color
2025-08-14T20:54:49.9728510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03
2025-08-14T20:54:49.9729620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03-w
2025-08-14T20:54:49.9730740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-vt
2025-08-14T20:54:49.9731870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/layer
2025-08-14T20:54:49.9733060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+kbs
2025-08-14T20:54:49.9734240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-basic
2025-08-14T20:54:49.9735550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisa
2025-08-14T20:54:49.9736620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux
2025-08-14T20:54:49.9737810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1
2025-08-14T20:54:49.9739010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c-nc
2025-08-14T20:54:49.9740080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/liswb
2025-08-14T20:54:49.9741220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft
2025-08-14T20:54:49.9742410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1b
2025-08-14T20:54:49.9743620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6
2025-08-14T20:54:49.9744880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6.26
2025-08-14T20:54:49.9746010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c
2025-08-14T20:54:49.9747260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m
2025-08-14T20:54:49.9748550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-nic
2025-08-14T20:54:49.9749890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8
2025-08-14T20:54:49.9754420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lpr
2025-08-14T20:54:49.9754660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-w
2025-08-14T20:54:49.9754850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/9term
2025-08-14T20:54:49.9755040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-hb
2025-08-14T20:54:49.9755260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-4p
2025-08-14T20:54:49.9756250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coco3
2025-08-14T20:54:49.9757290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-6lpi
2025-08-14T20:54:49.9758340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx100
2025-08-14T20:54:49.9759410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c321
2025-08-14T20:54:49.9760480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit80
2025-08-14T20:54:49.9761670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50
2025-08-14T20:54:49.9762800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops-10
2025-08-14T20:54:49.9763980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept-avt
2025-08-14T20:54:49.9765120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50r
2025-08-14T20:54:49.9766280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100-rv
2025-08-14T20:54:49.9767390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60
2025-08-14T20:54:49.9768410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cci1
2025-08-14T20:54:49.9769500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coherent
2025-08-14T20:54:49.9770580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-2
2025-08-14T20:54:49.9771710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb83
2025-08-14T20:54:49.9772830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r
2025-08-14T20:54:49.9774110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbunix
2025-08-14T20:54:49.9775350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv
2025-08-14T20:54:49.9776520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-8p
2025-08-14T20:54:49.9777770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10-w
2025-08-14T20:54:49.9779000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60l1
2025-08-14T20:54:49.9780050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-3
2025-08-14T20:54:49.9781100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citc
2025-08-14T20:54:49.9782310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv-8p
2025-08-14T20:54:49.9783430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w8p
2025-08-14T20:54:49.9784510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-ps
2025-08-14T20:54:49.9785620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-4p
2025-08-14T20:54:49.9786830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-n132
2025-08-14T20:54:49.9787970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel320
2025-08-14T20:54:49.9789200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8r-m
2025-08-14T20:54:49.9790370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct82
2025-08-14T20:54:49.9791400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct8500
2025-08-14T20:54:49.9792330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops
2025-08-14T20:54:49.9793350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100
2025-08-14T20:54:49.9794730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel321
2025-08-14T20:54:49.9795800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-8lpi
2025-08-14T20:54:49.9797050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-m
2025-08-14T20:54:49.9798160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25w
2025-08-14T20:54:49.9799340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbblit
2025-08-14T20:54:49.9800660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108
2025-08-14T20:54:49.9801840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60r
2025-08-14T20:54:49.9802990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ctrm
2025-08-14T20:54:49.9804110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour
2025-08-14T20:54:49.9805240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-rv
2025-08-14T20:54:49.9806280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv-4p
2025-08-14T20:54:49.9807440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ci8510
2025-08-14T20:54:49.9808680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-koi8r-m
2025-08-14T20:54:49.9809800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-iso-m
2025-08-14T20:54:49.9810840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/commodore
2025-08-14T20:54:49.9811880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108
2025-08-14T20:54:49.9812960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43
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2025-08-14T20:54:49.9815070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101
2025-08-14T20:54:49.9816230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons30-m
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2025-08-14T20:54:49.9818290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100
2025-08-14T20:54:49.9819370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc752
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2025-08-14T20:54:49.9821420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc2
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2025-08-14T20:54:49.9823600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinDBG
2025-08-14T20:54:49.9824590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/chromatics
2025-08-14T20:54:49.9825890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1-m
2025-08-14T20:54:49.9827020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/colorscan
2025-08-14T20:54:49.9828000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ca22851
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2025-08-14T20:54:49.9830230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721
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2025-08-14T20:54:49.9832330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc3
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2025-08-14T20:54:49.9834650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-8p
2025-08-14T20:54:49.9835670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10
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2025-08-14T20:54:49.9840230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh
2025-08-14T20:54:49.9841510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-pica
2025-08-14T20:54:49.9842700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso
2025-08-14T20:54:49.9843920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel300
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2025-08-14T20:54:49.9846270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-4p
2025-08-14T20:54:49.9847350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-elite
2025-08-14T20:54:49.9848610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-direct
2025-08-14T20:54:49.9849630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops10
2025-08-14T20:54:49.9850800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e
2025-08-14T20:54:49.9851840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel301
2025-08-14T20:54:49.9853060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-comp
2025-08-14T20:54:49.9854100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-m
2025-08-14T20:54:49.9855220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-1p
2025-08-14T20:54:49.9856310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv
2025-08-14T20:54:49.9857450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc456
2025-08-14T20:54:49.9858560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit-80
2025-08-14T20:54:49.9859720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-iso-m
2025-08-14T20:54:49.9860840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso-m
2025-08-14T20:54:49.9861900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx
2025-08-14T20:54:49.9863070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25r
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2025-08-14T20:54:49.9865470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/crt
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2025-08-14T20:54:49.9867840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43-m
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2025-08-14T20:54:49.9870310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721-esc
2025-08-14T20:54:49.9871540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinB19
2025-08-14T20:54:49.9872560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25l1-m
2025-08-14T20:54:49.9873470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/color_xterm
2025-08-14T20:54:49.9874370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1
2025-08-14T20:54:49.9875290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-prop
2025-08-14T20:54:49.9876240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r-m
2025-08-14T20:54:49.9877230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8-r
2025-08-14T20:54:49.9877990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c301
2025-08-14T20:54:49.9878860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb110
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2025-08-14T20:54:49.9880780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w-8
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2025-08-14T20:54:49.9884240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwin
2025-08-14T20:54:49.9885220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-latest
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2025-08-14T20:54:49.9895220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd-34
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2025-08-14T20:54:49.9904090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix
2025-08-14T20:54:49.9905000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003-dumb
2025-08-14T20:54:49.9905850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-7b
2025-08-14T20:54:49.9906800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmchat
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2025-08-14T20:54:49.9909400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt220
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2025-08-14T20:54:49.9911890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3025
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2025-08-14T20:54:49.9920240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt330
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2025-08-14T20:54:49.9928200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80
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2025-08-14T20:54:49.9933090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue80
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2025-08-14T20:54:49.9935430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dumb
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2025-08-14T20:54:49.9937820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg-generic
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2025-08-14T20:54:49.9940020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003
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2025-08-14T20:54:49.9943830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+25
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2025-08-14T20:54:49.9949660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decpro
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2025-08-14T20:54:49.9953290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-dg
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2025-08-14T20:54:49.9955630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25-m
2025-08-14T20:54:49.9956730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-7b-w
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2025-08-14T20:54:49.9960370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt340
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2025-08-14T20:54:49.9963790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80w
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2025-08-14T20:54:49.9971880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m
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2025-08-14T20:54:49.9979120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color8
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2025-08-14T20:54:49.9991000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400
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2025-08-14T20:54:49.9996990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color8
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2025-08-14T20:54:50.0051600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk-vt
2025-08-14T20:54:50.0052770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-dg
2025-08-14T20:54:50.0054150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-90x30-m
2025-08-14T20:54:50.0055380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+fixed
2025-08-14T20:54:50.0056590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue
2025-08-14T20:54:50.0057680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-dg
2025-08-14T20:54:50.0058930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg450
2025-08-14T20:54:50.0060050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555
2025-08-14T20:54:50.0061200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470-dg
2025-08-14T20:54:50.0062450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3045
2025-08-14T20:54:50.0063580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1520
2025-08-14T20:54:50.0064770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decwriter
2025-08-14T20:54:50.0066060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37
2025-08-14T20:54:50.0067340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x30
2025-08-14T20:54:50.0068500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-w
2025-08-14T20:54:50.0069410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm2500
2025-08-14T20:54:50.0070330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix
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2025-08-14T20:54:50.0072060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+
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2025-08-14T20:54:50.0073940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1620-m8
2025-08-14T20:54:50.0074800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80-sas
2025-08-14T20:54:50.0075690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+w
2025-08-14T20:54:50.0076570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450-dg
2025-08-14T20:54:50.0077520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-sr
2025-08-14T20:54:50.0078440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x75
2025-08-14T20:54:50.0079380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96
2025-08-14T20:54:50.0080180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw2
2025-08-14T20:54:50.0081080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg605x
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2025-08-14T20:54:50.0082950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color
2025-08-14T20:54:50.0083780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2-dg
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2025-08-14T20:54:50.0085510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd1
2025-08-14T20:54:50.0086480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1521
2025-08-14T20:54:50.0087410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-25-ccc
2025-08-14T20:54:50.0088210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk
2025-08-14T20:54:50.0089080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6053
2025-08-14T20:54:50.0090060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x40-m
2025-08-14T20:54:50.0090910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo
2025-08-14T20:54:50.0091830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211-7b
2025-08-14T20:54:50.0092690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg200
2025-08-14T20:54:50.0093570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color
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2025-08-14T20:54:50.0095350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtterm
2025-08-14T20:54:50.0096380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-160x64
2025-08-14T20:54:50.0097240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm-256color
2025-08-14T20:54:50.0098120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dp8242
2025-08-14T20:54:50.0098990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400-dg
2025-08-14T20:54:50.0099850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410
2025-08-14T20:54:50.0100790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-sr
2025-08-14T20:54:50.0101690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1740
2025-08-14T20:54:50.0102660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37-m
2025-08-14T20:54:50.0103570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-s
2025-08-14T20:54:50.0104460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-dg
2025-08-14T20:54:50.0105350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+dg
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2025-08-14T20:54:50.0108720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt100
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2025-08-14T20:54:50.0110980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+pp
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2025-08-14T20:54:50.0113410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411
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2025-08-14T20:54:50.0117200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2
2025-08-14T20:54:50.0118310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e+
2025-08-14T20:54:50.0119380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw
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2025-08-14T20:54:50.0121710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm
2025-08-14T20:54:50.0122910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-dg
2025-08-14T20:54:50.0124010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+sl
2025-08-14T20:54:50.0125090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7202
2025-08-14T20:54:50.0126430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96-m
2025-08-14T20:54:50.0127530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-w
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2025-08-14T20:54:50.0132360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+ccc
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2025-08-14T20:54:50.0137300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo630
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2025-08-14T20:54:50.0143790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1730
2025-08-14T20:54:50.0144840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d200
2025-08-14T20:54:50.0145890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ddr
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2025-08-14T20:54:50.0148250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w
2025-08-14T20:54:50.0149370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f2
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2025-08-14T20:54:50.0151740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c-dg
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2025-08-14T20:54:50.0159700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80
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2025-08-14T20:54:50.0162100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w-ccc
2025-08-14T20:54:50.0163330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+15
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2025-08-14T20:54:50.0165470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450
2025-08-14T20:54:50.0166630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f
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2025-08-14T20:54:50.0170100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg100
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2025-08-14T20:54:50.0172500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640-lm
2025-08-14T20:54:50.0173560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230
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2025-08-14T20:54:50.0175820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215-dg
2025-08-14T20:54:50.0176930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+8b
2025-08-14T20:54:50.0178090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo450
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2025-08-14T20:54:50.0185930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25
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2025-08-14T20:54:50.0326530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fa
2025-08-14T20:54:50.0327360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wren
2025-08-14T20:54:50.0328280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-vb
2025-08-14T20:54:50.0329240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-24
2025-08-14T20:54:50.0330160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-wvb
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2025-08-14T20:54:50.0333100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-75ap
2025-08-14T20:54:50.0337700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60
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2025-08-14T20:54:50.0338450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43
2025-08-14T20:54:50.0338660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36pc
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2025-08-14T20:54:50.0339340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsiris
2025-08-14T20:54:50.0340280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-w-vb
2025-08-14T20:54:50.0341210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-wvb
2025-08-14T20:54:50.0342080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-vb
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2025-08-14T20:54:50.0350110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-8bit
2025-08-14T20:54:50.0351070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-w-vb
2025-08-14T20:54:50.0351960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48pc
2025-08-14T20:54:50.0352890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-tek
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2025-08-14T20:54:50.0354700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99-ansi
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2025-08-14T20:54:50.0356580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-vb
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2025-08-14T20:54:50.0368250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150
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2025-08-14T20:54:50.0370150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-25-w
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2025-08-14T20:54:50.0383610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-25-w
2025-08-14T20:54:50.0384520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99a-ansi
2025-08-14T20:54:50.0385380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30
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2025-08-14T20:54:50.0387200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-vb
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2025-08-14T20:54:50.0400810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48wpc
2025-08-14T20:54:50.0402100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-w
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2025-08-14T20:54:50.0413180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-tek
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2025-08-14T20:54:50.0418230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-25-w
2025-08-14T20:54:50.0419260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-vb
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2025-08-14T20:54:50.0431550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-wvb
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2025-08-14T20:54:50.0433340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-43
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2025-08-14T20:54:50.0441550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-vp
2025-08-14T20:54:50.0442300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30
2025-08-14T20:54:50.0443240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48pc
2025-08-14T20:54:50.0444130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36
2025-08-14T20:54:50.0445020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-w-vb
2025-08-14T20:54:50.0445900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-24
2025-08-14T20:54:50.0446800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-42
2025-08-14T20:54:50.0447730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-tek
2025-08-14T20:54:50.0448580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-w
2025-08-14T20:54:50.0449470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-mc
2025-08-14T20:54:50.0450370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-vb
2025-08-14T20:54:50.0451260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-25
2025-08-14T20:54:50.0452130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-wvb
2025-08-14T20:54:50.0453020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-rv
2025-08-14T20:54:50.0453920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-vb
2025-08-14T20:54:50.0454810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-99fgta
2025-08-14T20:54:50.0455760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-25-w
2025-08-14T20:54:50.0456630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-w
2025-08-14T20:54:50.0457540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-EPC
2025-08-14T20:54:50.0458420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-25-w
2025-08-14T20:54:50.0459290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25
2025-08-14T20:54:50.0460150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0
2025-08-14T20:54:50.0461020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt210
2025-08-14T20:54:50.0461910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3-bold
2025-08-14T20:54:50.0462720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p4
2025-08-14T20:54:50.0463660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m
2025-08-14T20:54:50.0464560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-w
2025-08-14T20:54:50.0465470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43-m
2025-08-14T20:54:50.0466390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+keypad
2025-08-14T20:54:50.0467230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40
2025-08-14T20:54:50.0468080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-w
2025-08-14T20:54:50.0468930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m
2025-08-14T20:54:50.0469820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200w
2025-08-14T20:54:50.0470700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-w
2025-08-14T20:54:50.0471600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccons
2025-08-14T20:54:50.0472480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8-w
2025-08-14T20:54:50.0473390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmconsole
2025-08-14T20:54:50.0474260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvtXX
2025-08-14T20:54:50.0475090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p5
2025-08-14T20:54:50.0476030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-vt100
2025-08-14T20:54:50.0477130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p19
2025-08-14T20:54:50.0477800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty
2025-08-14T20:54:50.0478650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8-w
2025-08-14T20:54:50.0479570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc6300plus
2025-08-14T20:54:50.0480510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-96x48
2025-08-14T20:54:50.0481410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcconsole
2025-08-14T20:54:50.0482270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pro350
2025-08-14T20:54:50.0483190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit12
2025-08-14T20:54:50.0484070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25
2025-08-14T20:54:50.0484920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8
2025-08-14T20:54:50.0485960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+xterm
2025-08-14T20:54:50.0486820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-venix
2025-08-14T20:54:50.0487760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-basic
2025-08-14T20:54:50.0488640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit
2025-08-14T20:54:50.0489610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs0
2025-08-14T20:54:50.0490510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43
2025-08-14T20:54:50.0491310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pty
2025-08-14T20:54:50.0492190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505
2025-08-14T20:54:50.0493070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon
2025-08-14T20:54:50.0493930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism7
2025-08-14T20:54:50.0494840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-minix
2025-08-14T20:54:50.0495700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9
2025-08-14T20:54:50.0497020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit120
2025-08-14T20:54:50.0497630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50w
2025-08-14T20:54:50.0498540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8
2025-08-14T20:54:50.0499460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-fast
2025-08-14T20:54:50.0500350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/printer
2025-08-14T20:54:50.0501310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1251
2025-08-14T20:54:50.0502150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33
2025-08-14T20:54:50.0503050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35w
2025-08-14T20:54:50.0504220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt400
2025-08-14T20:54:50.0505000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25-m
2025-08-14T20:54:50.0505930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m-w
2025-08-14T20:54:50.0506790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8-w
2025-08-14T20:54:50.0507690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-m
2025-08-14T20:54:50.0508530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8gl
2025-08-14T20:54:50.0509500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs
2025-08-14T20:54:50.0510400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1
2025-08-14T20:54:50.0511380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+cursor
2025-08-14T20:54:50.0512510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys
2025-08-14T20:54:50.0513650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-256color
2025-08-14T20:54:50.0514820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-90x28
2025-08-14T20:54:50.0516100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-mono
2025-08-14T20:54:50.0517230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250
2025-08-14T20:54:50.0518330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6100
2025-08-14T20:54:50.0519870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m-w
2025-08-14T20:54:50.0520940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcz19
2025-08-14T20:54:50.0522170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8
2025-08-14T20:54:50.0523270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm
2025-08-14T20:54:50.0524500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt100
2025-08-14T20:54:50.0525600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m
2025-08-14T20:54:50.0526730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p7
2025-08-14T20:54:50.0527890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43
2025-08-14T20:54:50.0529130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9
2025-08-14T20:54:50.0530460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-w
2025-08-14T20:54:50.0531680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40w
2025-08-14T20:54:50.0532790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28
2025-08-14T20:54:50.0533890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1100
2025-08-14T20:54:50.0535080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-coherent
2025-08-14T20:54:50.0536240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe550
2025-08-14T20:54:50.0537400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8
2025-08-14T20:54:50.0538540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m-w
2025-08-14T20:54:50.0539580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3
2025-08-14T20:54:50.0540740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcmw
2025-08-14T20:54:50.0542010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43w
2025-08-14T20:54:50.0543240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m
2025-08-14T20:54:50.0544350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-w
2025-08-14T20:54:50.0545560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r-m
2025-08-14T20:54:50.0546810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25w
2025-08-14T20:54:50.0547950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6312
2025-08-14T20:54:50.0549060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-sco
2025-08-14T20:54:50.0550480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+esc
2025-08-14T20:54:50.0551530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-w
2025-08-14T20:54:50.0552710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r
2025-08-14T20:54:50.0553940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12
2025-08-14T20:54:50.0555040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000m
2025-08-14T20:54:50.0556240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1b
2025-08-14T20:54:50.0557290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi
2025-08-14T20:54:50.0558400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000c
2025-08-14T20:54:50.0559580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25-color
2025-08-14T20:54:50.0560790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi43
2025-08-14T20:54:50.0561820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14
2025-08-14T20:54:50.0563080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m-w
2025-08-14T20:54:50.0564130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14
2025-08-14T20:54:50.0565250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-noapp
2025-08-14T20:54:50.0566330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pilot
2025-08-14T20:54:50.0567320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12
2025-08-14T20:54:50.0568630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+colors
2025-08-14T20:54:50.0569910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+linux
2025-08-14T20:54:50.0571080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25m
2025-08-14T20:54:50.0572270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psx_ansi
2025-08-14T20:54:50.0573490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25
2025-08-14T20:54:50.0574610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100
2025-08-14T20:54:50.0575760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/ps300
2025-08-14T20:54:50.0576880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1200
2025-08-14T20:54:50.0578130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250w
2025-08-14T20:54:50.0579210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8gl
2025-08-14T20:54:50.0580460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33
2025-08-14T20:54:50.0581700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism4
2025-08-14T20:54:50.0582900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-24
2025-08-14T20:54:50.0584080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8-w
2025-08-14T20:54:50.0585240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcplot
2025-08-14T20:54:50.0586400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+sco
2025-08-14T20:54:50.0587570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-screen
2025-08-14T20:54:50.0588650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+keys
2025-08-14T20:54:50.0589890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism5
2025-08-14T20:54:50.0591010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-22
2025-08-14T20:54:50.0592250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism2
2025-08-14T20:54:50.0593430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m2
2025-08-14T20:54:50.0594600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc7300
2025-08-14T20:54:50.0595780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-80x24
2025-08-14T20:54:50.0596960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+base
2025-08-14T20:54:50.0598250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33m
2025-08-14T20:54:50.0599370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon-m
2025-08-14T20:54:50.0600490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100w
2025-08-14T20:54:50.0601690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6300
2025-08-14T20:54:50.0602870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200
2025-08-14T20:54:50.0604160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35
2025-08-14T20:54:50.0605360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28w
2025-08-14T20:54:50.0606550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmcons
2025-08-14T20:54:50.0607620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcix
2025-08-14T20:54:50.0608920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0-m
2025-08-14T20:54:50.0610050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50
2025-08-14T20:54:50.0610980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33-m
2025-08-14T20:54:50.0611900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+screen
2025-08-14T20:54:50.0612740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdcons
2025-08-14T20:54:50.0613600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203
2025-08-14T20:54:50.0614540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25
2025-08-14T20:54:50.0615510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25-w
2025-08-14T20:54:50.0616410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25-w
2025-08-14T20:54:50.0617280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt
2025-08-14T20:54:50.0618460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25
2025-08-14T20:54:50.0619050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119
2025-08-14T20:54:50.0619880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx
2025-08-14T20:54:50.0620760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt4
2025-08-14T20:54:50.0621660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103
2025-08-14T20:54:50.0622540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-w
2025-08-14T20:54:50.0623440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p
2025-08-14T20:54:50.0624320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-g
2025-08-14T20:54:50.0625260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25-w
2025-08-14T20:54:50.0626170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-w
2025-08-14T20:54:50.0627020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt102
2025-08-14T20:54:50.0627890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-t
2025-08-14T20:54:50.0628740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt2
2025-08-14T20:54:50.0629630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w
2025-08-14T20:54:50.0630510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101p
2025-08-14T20:54:50.0631400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxtmono
2025-08-14T20:54:50.0632280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103-w
2025-08-14T20:54:50.0633200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25
2025-08-14T20:54:50.0634030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume
2025-08-14T20:54:50.0635000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w-am
2025-08-14T20:54:50.0635810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxw
2025-08-14T20:54:50.0636660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx4
2025-08-14T20:54:50.0637590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-w
2025-08-14T20:54:50.0638410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxm
2025-08-14T20:54:50.0639290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-m
2025-08-14T20:54:50.0640440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdss
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2025-08-14T20:54:50.0641950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101
2025-08-14T20:54:50.0642820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+
2025-08-14T20:54:50.0643690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt108
2025-08-14T20:54:50.0644530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume5
2025-08-14T20:54:50.0645480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi
2025-08-14T20:54:50.0646290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101+
2025-08-14T20:54:50.0647160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203+
2025-08-14T20:54:50.0648100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-25-w
2025-08-14T20:54:50.0648920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61
2025-08-14T20:54:50.0649780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt330
2025-08-14T20:54:50.0650650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102
2025-08-14T20:54:50.0651500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50
2025-08-14T20:54:50.0652350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp60
2025-08-14T20:54:50.0653290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-putty
2025-08-14T20:54:50.0654160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8
2025-08-14T20:54:50.0655080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav-w
2025-08-14T20:54:50.0655920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300
2025-08-14T20:54:50.0656770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt132
2025-08-14T20:54:50.0657640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc403a
2025-08-14T20:54:50.0658580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+pcedit
2025-08-14T20:54:50.0659480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s
2025-08-14T20:54:50.0660340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip
2025-08-14T20:54:50.0661240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-direct
2025-08-14T20:54:50.0662180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint90
2025-08-14T20:54:50.0663090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte+pcfkeys
2025-08-14T20:54:50.0664000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-nam
2025-08-14T20:54:50.0664850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vitty
2025-08-14T20:54:50.0665740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-w
2025-08-14T20:54:50.0666650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/versaterm
2025-08-14T20:54:50.0667540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visa50
2025-08-14T20:54:50.0668630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+arrows
2025-08-14T20:54:50.0669360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp3a+
2025-08-14T20:54:50.0670260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata
2025-08-14T20:54:50.0671180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2014
2025-08-14T20:54:50.0672050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi550
2025-08-14T20:54:50.0672980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-nsgr
2025-08-14T20:54:50.0673880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-old
2025-08-14T20:54:50.0674740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-61
2025-08-14T20:54:50.0675890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k311
2025-08-14T20:54:50.0676870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+
2025-08-14T20:54:50.0678090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+keypad
2025-08-14T20:54:50.0679190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vtnt
2025-08-14T20:54:50.0680390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+4bsd
2025-08-14T20:54:50.0681560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-o
2025-08-14T20:54:50.0682820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61.5
2025-08-14T20:54:50.0684060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pc
2025-08-14T20:54:50.0685320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc203
2025-08-14T20:54:50.0686420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v200-nam
2025-08-14T20:54:50.0687630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220
2025-08-14T20:54:50.0689000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k3
2025-08-14T20:54:50.0690220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100nam
2025-08-14T20:54:50.0691430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2012
2025-08-14T20:54:50.0692500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300
2025-08-14T20:54:50.0693780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vapple
2025-08-14T20:54:50.0694880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-H
2025-08-14T20:54:50.0695980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2008
2025-08-14T20:54:50.0697210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc415
2025-08-14T20:54:50.0698390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400
2025-08-14T20:54:50.0699640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-vb
2025-08-14T20:54:50.0701030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+vtedit
2025-08-14T20:54:50.0702150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-nam
2025-08-14T20:54:50.0703360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp
2025-08-14T20:54:50.0704650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v320n
2025-08-14T20:54:50.0705740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vv100
2025-08-14T20:54:50.0707040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+enq
2025-08-14T20:54:50.0708110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-w
2025-08-14T20:54:50.0709280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102+enq
2025-08-14T20:54:50.0710490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2007
2025-08-14T20:54:50.0711730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-top
2025-08-14T20:54:50.0712790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414
2025-08-14T20:54:50.0714030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w
2025-08-14T20:54:50.0715200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52-basic
2025-08-14T20:54:50.0716230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vk100
2025-08-14T20:54:50.0717480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8bit
2025-08-14T20:54:50.0718560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520
2025-08-14T20:54:50.0719650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt340
2025-08-14T20:54:50.0720910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100-x10
2025-08-14T20:54:50.0722060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam-w
2025-08-14T20:54:50.0723310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp+pc
2025-08-14T20:54:50.0724320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi55
2025-08-14T20:54:50.0725470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi603
2025-08-14T20:54:50.0726590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vwmterm
2025-08-14T20:54:50.0727850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pcdos
2025-08-14T20:54:50.0729040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-js
2025-08-14T20:54:50.0730070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100
2025-08-14T20:54:50.0731240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520ansi
2025-08-14T20:54:50.0732360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510
2025-08-14T20:54:50.0733500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-js
2025-08-14T20:54:50.0734720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-256color
2025-08-14T20:54:50.0735850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-w
2025-08-14T20:54:50.0737110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis
2025-08-14T20:54:50.0738210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc103
2025-08-14T20:54:50.0739410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8bit
2025-08-14T20:54:50.0740670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300-old
2025-08-14T20:54:50.0741760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-w
2025-08-14T20:54:50.0742760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp90
2025-08-14T20:54:50.0744130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+fnkeys
2025-08-14T20:54:50.0745310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-f
2025-08-14T20:54:50.0746470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420f
2025-08-14T20:54:50.0747710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400-24
2025-08-14T20:54:50.0749070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w
2025-08-14T20:54:50.0750210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visual603
2025-08-14T20:54:50.0751380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w
2025-08-14T20:54:50.0752590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint60
2025-08-14T20:54:50.0753700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52
2025-08-14T20:54:50.0754930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt131
2025-08-14T20:54:50.0755900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50h
2025-08-14T20:54:50.0757000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100
2025-08-14T20:54:50.0758070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/venix
2025-08-14T20:54:50.0759300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2017
2025-08-14T20:54:50.0760570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-Hw
2025-08-14T20:54:50.0761790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404
2025-08-14T20:54:50.0762960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420
2025-08-14T20:54:50.0764150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nav
2025-08-14T20:54:50.0765240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte
2025-08-14T20:54:50.0766400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v3220
2025-08-14T20:54:50.0767580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bot-s
2025-08-14T20:54:50.0768860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nam
2025-08-14T20:54:50.0769860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi500
2025-08-14T20:54:50.0770920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414h
2025-08-14T20:54:50.0772140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+keypad
2025-08-14T20:54:50.0773230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2018
2025-08-14T20:54:50.0774500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420+lrmm
2025-08-14T20:54:50.0775650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+pfkeys
2025-08-14T20:54:50.0776830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pcdos
2025-08-14T20:54:50.0777960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vremote
2025-08-14T20:54:50.0779170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-top-s
2025-08-14T20:54:50.0780360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-rv
2025-08-14T20:54:50.0781400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-w
2025-08-14T20:54:50.0782650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav
2025-08-14T20:54:50.0783810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-base
2025-08-14T20:54:50.0785050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w-nam
2025-08-14T20:54:50.0786250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint3a+
2025-08-14T20:54:50.0787340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam
2025-08-14T20:54:50.0788540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm-o
2025-08-14T20:54:50.0789870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50adm
2025-08-14T20:54:50.0791110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-nam
2025-08-14T20:54:50.0792320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200
2025-08-14T20:54:50.0793480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220d
2025-08-14T20:54:50.0794530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vsc
2025-08-14T20:54:50.0795690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pc
2025-08-14T20:54:50.0796700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8
2025-08-14T20:54:50.0797590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vanilla
2025-08-14T20:54:50.0798450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode
2025-08-14T20:54:50.0799310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt125
2025-08-14T20:54:50.0800190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-Hw
2025-08-14T20:54:50.0801080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-old
2025-08-14T20:54:50.0801930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v5410
2025-08-14T20:54:50.0802900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+keypad
2025-08-14T20:54:50.0803740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303a
2025-08-14T20:54:50.0804670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-am
2025-08-14T20:54:50.0805590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-bot
2025-08-14T20:54:50.0806470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320nam
2025-08-14T20:54:50.0807410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-am
2025-08-14T20:54:50.0808260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320
2025-08-14T20:54:50.0809090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303
2025-08-14T20:54:50.0809950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50
2025-08-14T20:54:50.0810850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-H
2025-08-14T20:54:50.0811740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint
2025-08-14T20:54:50.0812640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404-s
2025-08-14T20:54:50.0813570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis8
2025-08-14T20:54:50.0814430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-utf8
2025-08-14T20:54:50.0815290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200
2025-08-14T20:54:50.0816180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm
2025-08-14T20:54:50.0817140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode-direct
2025-08-14T20:54:50.0817970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt525
2025-08-14T20:54:50.0819200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-rv
2025-08-14T20:54:50.0819820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w-nam
2025-08-14T20:54:50.0820780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-256color
2025-08-14T20:54:50.0821720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+r6f2
2025-08-14T20:54:50.0822650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37
2025-08-14T20:54:50.0823570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+200x64
2025-08-14T20:54:50.0824600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x10mouse
2025-08-14T20:54:50.0825750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x48
2025-08-14T20:54:50.0826470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+osc104
2025-08-14T20:54:50.0827470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64-m
2025-08-14T20:54:50.0828380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-color
2025-08-14T20:54:50.0829330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-16color
2025-08-14T20:54:50.0830290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v40
2025-08-14T20:54:50.0831240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x40
2025-08-14T20:54:50.0832160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-b
2025-08-14T20:54:50.0833110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct256
2025-08-14T20:54:50.0834060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct2
2025-08-14T20:54:50.0834990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app+pc
2025-08-14T20:54:50.0835830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xgterm
2025-08-14T20:54:50.0836820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+88color
2025-08-14T20:54:50.0837720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+c
2025-08-14T20:54:50.0838620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pce2
2025-08-14T20:54:50.0839670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64
2025-08-14T20:54:50.0840580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48
2025-08-14T20:54:50.0841490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app
2025-08-14T20:54:50.0842410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-8bit
2025-08-14T20:54:50.0843300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox820
2025-08-14T20:54:50.0844160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1750
2025-08-14T20:54:50.0845280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+112x37
2025-08-14T20:54:50.0846030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermm
2025-08-14T20:54:50.0846930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xi
2025-08-14T20:54:50.0847850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc0
2025-08-14T20:54:50.0848750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f
2025-08-14T20:54:50.0849740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11hilite
2025-08-14T20:54:50.0850560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermc
2025-08-14T20:54:50.0851540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x25-m
2025-08-14T20:54:50.0852580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf2
2025-08-14T20:54:50.0853400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+keypad
2025-08-14T20:54:50.0854240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm
2025-08-14T20:54:50.0855260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x40
2025-08-14T20:54:50.0856130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+noapp
2025-08-14T20:54:50.0857000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+b
2025-08-14T20:54:50.0857940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-basic
2025-08-14T20:54:50.0858840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+meta
2025-08-14T20:54:50.0859970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11mouse
2025-08-14T20:54:50.0860730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f2
2025-08-14T20:54:50.0861570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x820
2025-08-14T20:54:50.0862500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc1
2025-08-14T20:54:50.0863380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r6
2025-08-14T20:54:50.0864250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1720
2025-08-14T20:54:50.0865130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm.js
2025-08-14T20:54:50.0866140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-88color
2025-08-14T20:54:50.0867000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+tmux2
2025-08-14T20:54:50.0867970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48-m
2025-08-14T20:54:50.0868980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct2
2025-08-14T20:54:50.0873970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+decedit
2025-08-14T20:54:50.0874470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-utf8
2025-08-14T20:54:50.0874960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11hilite
2025-08-14T20:54:50.0875460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct16
2025-08-14T20:54:50.0875920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xdku
2025-08-14T20:54:50.0876370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x68k-ite
2025-08-14T20:54:50.0876860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt+title
2025-08-14T20:54:50.0877370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37-m
2025-08-14T20:54:50.0877860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct
2025-08-14T20:54:50.0878360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v333
2025-08-14T20:54:50.0879220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xfree86
2025-08-14T20:54:50.0880120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-vt220
2025-08-14T20:54:50.0881750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+acs
2025-08-14T20:54:50.0883070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-hp
2025-08-14T20:54:50.0884360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-new
2025-08-14T20:54:50.0885670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-noapp
2025-08-14T20:54:50.0887050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pc+edit
2025-08-14T20:54:50.0889460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1003
2025-08-14T20:54:50.0890760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterms-sun
2025-08-14T20:54:50.0892100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-twm
2025-08-14T20:54:50.0892620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+basic
2025-08-14T20:54:50.0893110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1003
2025-08-14T20:54:50.0893600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-pcolor
2025-08-14T20:54:50.0894070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xenix
2025-08-14T20:54:50.0894550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct256
2025-08-14T20:54:50.0895050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc
2025-08-14T20:54:50.0895520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1002
2025-08-14T20:54:50.0896010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+focus
2025-08-14T20:54:50.0896490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1005
2025-08-14T20:54:50.0896980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1005
2025-08-14T20:54:50.0897660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48-m
2025-08-14T20:54:50.0898550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox-lm
2025-08-14T20:54:50.0899570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nopcfkeys
2025-08-14T20:54:50.0900490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct
2025-08-14T20:54:50.0901420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1002
2025-08-14T20:54:50.0902310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-sco
2025-08-14T20:54:50.0903280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48
2025-08-14T20:54:50.0904170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p371
2025-08-14T20:54:50.0905130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256setaf
2025-08-14T20:54:50.0906090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-160x64-m
2025-08-14T20:54:50.0907010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+vt+edit
2025-08-14T20:54:50.0907920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+kbs
2025-08-14T20:54:50.0908850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x30
2025-08-14T20:54:50.0909810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30-m
2025-08-14T20:54:50.0910750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11mouse
2025-08-14T20:54:50.0911560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xwsh
2025-08-14T20:54:50.0912420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtalk
2025-08-14T20:54:50.0913410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v43
2025-08-14T20:54:50.0914350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v44
2025-08-14T20:54:50.0915260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p370
2025-08-14T20:54:50.0916260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-f
2025-08-14T20:54:50.0917260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30
2025-08-14T20:54:50.0917980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xl83
2025-08-14T20:54:50.0918820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xfce
2025-08-14T20:54:50.0919750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc3
2025-08-14T20:54:50.0920630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700
2025-08-14T20:54:50.0921540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-24
2025-08-14T20:54:50.0922490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-alt
2025-08-14T20:54:50.0923530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+144x48
2025-08-14T20:54:50.0924360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-b
2025-08-14T20:54:50.0925240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-old
2025-08-14T20:54:50.0926180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt47
2025-08-14T20:54:50.0927080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+f2
2025-08-14T20:54:50.0928030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x10mouse
2025-08-14T20:54:50.0928970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+80x25
2025-08-14T20:54:50.0930180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf0
2025-08-14T20:54:50.0930810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nofkeys
2025-08-14T20:54:50.0931750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color
2025-08-14T20:54:50.0932630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700-lm
2025-08-14T20:54:50.0933500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m
2025-08-14T20:54:50.0934490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color2
2025-08-14T20:54:50.0935360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r5
2025-08-14T20:54:50.0936440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+titlestack
2025-08-14T20:54:50.0937730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox1720
2025-08-14T20:54:50.0938900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc2
2025-08-14T20:54:50.0940040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm1
2025-08-14T20:54:50.0941310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x68k
2025-08-14T20:54:50.0942470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+f
2025-08-14T20:54:50.0943630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterms
2025-08-14T20:54:50.0944960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-mono
2025-08-14T20:54:50.0946120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x10term+sl
2025-08-14T20:54:50.0947350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-100x37-m
2025-08-14T20:54:50.0948580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+80x30
2025-08-14T20:54:50.0950090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x75
2025-08-14T20:54:50.0951270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-256x96
2025-08-14T20:54:50.0952530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x30-m
2025-08-14T20:54:50.0953850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+90x30
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2025-08-14T20:54:50.2273950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_inspect.py
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2025-08-14T20:54:50.2276080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/pager.py
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2025-08-14T20:54:50.2300550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/panel.py
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2025-08-14T20:54:50.2302790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/spinner.py
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2025-08-14T20:54:50.2314600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/color_triplet.py
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2025-08-14T20:54:50.2325490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/schematron.h
2025-08-14T20:54:50.2326670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/uri.h
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2025-08-14T20:54:50.2329330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/encoding.h
2025-08-14T20:54:50.2330550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/tree.h
2025-08-14T20:54:50.2331990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/threads.h
2025-08-14T20:54:50.2333560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlversion.h
2025-08-14T20:54:50.2334780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/globals.h
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2025-08-14T20:54:50.2724780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/button.tcl
2025-08-14T20:54:50.2725840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/en.msg
2025-08-14T20:54:50.2726960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/text.tcl
2025-08-14T20:54:50.2728110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/image2.tcl
2025-08-14T20:54:50.2729290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/paned2.tcl
2025-08-14T20:54:50.2730540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/filebox.tcl
2025-08-14T20:54:50.2731730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/sayings.tcl
2025-08-14T20:54:50.2732980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/plot.tcl
2025-08-14T20:54:50.2734150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkscale.tcl
2025-08-14T20:54:50.2735250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/goldberg.tcl
2025-08-14T20:54:50.2736320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/widget
2025-08-14T20:54:50.2737410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkprogress.tcl
2025-08-14T20:54:50.2738620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/paned1.tcl
2025-08-14T20:54:50.2739730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttknote.tcl
2025-08-14T20:54:50.2740650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/form.tcl
2025-08-14T20:54:50.2741990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/flagup.xbm
2025-08-14T20:54:50.2743280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/letters.xbm
2025-08-14T20:54:50.2744520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earthris.gif
2025-08-14T20:54:50.2745810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/gray25.xbm
2025-08-14T20:54:50.2747090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earthmenu.png
2025-08-14T20:54:50.2748400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/ouster.png
2025-08-14T20:54:50.2749620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/noletter.xbm
2025-08-14T20:54:50.2750750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/teapot.ppm
2025-08-14T20:54:50.2751940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/pattern.xbm
2025-08-14T20:54:50.2753140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/tcllogo.gif
2025-08-14T20:54:50.2754340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/flagdown.xbm
2025-08-14T20:54:50.2755540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/images/earth.gif
2025-08-14T20:54:50.2756750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tree.tcl
2025-08-14T20:54:50.2757720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/floor.tcl
2025-08-14T20:54:50.2758820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/clrpick.tcl
2025-08-14T20:54:50.2760000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/spin.tcl
2025-08-14T20:54:50.2760760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/timer
2025-08-14T20:54:50.2762060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkpane.tcl
2025-08-14T20:54:50.2762960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/fontchoose.tcl
2025-08-14T20:54:50.2764070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/dialog1.tcl
2025-08-14T20:54:50.2765240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/license.terms
2025-08-14T20:54:50.2766420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/nl.msg
2025-08-14T20:54:50.2767520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/dialog2.tcl
2025-08-14T20:54:50.2768590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/twind.tcl
2025-08-14T20:54:50.2769850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/menu.tcl
2025-08-14T20:54:50.2770920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/knightstour.tcl
2025-08-14T20:54:50.2771940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/README
2025-08-14T20:54:50.2773050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/cscroll.tcl
2025-08-14T20:54:50.2774360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/anilabel.tcl
2025-08-14T20:54:50.2775250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ixset
2025-08-14T20:54:50.2776320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/arrow.tcl
2025-08-14T20:54:50.2777360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/toolbar.tcl
2025-08-14T20:54:50.2778520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkmenu.tcl
2025-08-14T20:54:50.2779690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/search.tcl
2025-08-14T20:54:50.2780690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tclIndex
2025-08-14T20:54:50.2781840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ctext.tcl
2025-08-14T20:54:50.2783040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/menubu.tcl
2025-08-14T20:54:50.2784050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/label.tcl
2025-08-14T20:54:50.2785250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/tcolor
2025-08-14T20:54:50.2786400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/puzzle.tcl
2025-08-14T20:54:50.2787470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/hscale.tcl
2025-08-14T20:54:50.2788560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/hello
2025-08-14T20:54:50.2789820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/browse
2025-08-14T20:54:50.2790760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ttkbut.tcl
2025-08-14T20:54:50.2791950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/labelframe.tcl
2025-08-14T20:54:50.2793020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/states.tcl
2025-08-14T20:54:50.2794010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/unicodeout.tcl
2025-08-14T20:54:50.2799430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/rolodex
2025-08-14T20:54:50.2799730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry1.tcl
2025-08-14T20:54:50.2799920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/combo.tcl
2025-08-14T20:54:50.2800110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/check.tcl
2025-08-14T20:54:50.2800300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/pendulum.tcl
2025-08-14T20:54:50.2800480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/mclist.tcl
2025-08-14T20:54:50.2800670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry2.tcl
2025-08-14T20:54:50.2801070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/radio.tcl
2025-08-14T20:54:50.2801950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/colors.tcl
2025-08-14T20:54:50.2802780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/icon.tcl
2025-08-14T20:54:50.2803480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/rmt
2025-08-14T20:54:50.2804320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/items.tcl
2025-08-14T20:54:50.2805170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/entry3.tcl
2025-08-14T20:54:50.2806060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/ruler.tcl
2025-08-14T20:54:50.2807150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/demos/vscale.tcl
2025-08-14T20:54:50.2807720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/scale.tcl
2025-08-14T20:54:50.2808580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tk8.6/palette.tcl
2025-08-14T20:54:50.2809310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/word.tcl
2025-08-14T20:54:50.2810080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/tm.tcl
2025-08-14T20:54:50.2810890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/clock.tcl
2025-08-14T20:54:50.2811720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/history.tcl
2025-08-14T20:54:50.2812680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp869.enc
2025-08-14T20:54:50.2813650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp855.enc
2025-08-14T20:54:50.2814490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022-jp.enc
2025-08-14T20:54:50.2815420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0201.enc
2025-08-14T20:54:50.2816320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp857.enc
2025-08-14T20:54:50.2817230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macJapan.enc
2025-08-14T20:54:50.2818170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macUkraine.enc
2025-08-14T20:54:50.2819060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp936.enc
2025-08-14T20:54:50.2820020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp932.enc
2025-08-14T20:54:50.2820920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/tis-620.enc
2025-08-14T20:54:50.2821780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp852.enc
2025-08-14T20:54:50.2822750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022-kr.enc
2025-08-14T20:54:50.2823680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macIceland.enc
2025-08-14T20:54:50.2824570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp850.enc
2025-08-14T20:54:50.2825550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0212.enc
2025-08-14T20:54:50.2826440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/symbol.enc
2025-08-14T20:54:50.2827370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macTurkish.enc
2025-08-14T20:54:50.2828280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ascii.enc
2025-08-14T20:54:50.2829230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macGreek.enc
2025-08-14T20:54:50.2830160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb12345.enc
2025-08-14T20:54:50.2831090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-6.enc
2025-08-14T20:54:50.2832030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-7.enc
2025-08-14T20:54:50.2833000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-5.enc
2025-08-14T20:54:50.2833870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-4.enc
2025-08-14T20:54:50.2834860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-1.enc
2025-08-14T20:54:50.2835750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/dingbats.enc
2025-08-14T20:54:50.2836640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp950.enc
2025-08-14T20:54:50.2837540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1258.enc
2025-08-14T20:54:50.2838510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp775.enc
2025-08-14T20:54:50.2839390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-3.enc
2025-08-14T20:54:50.2840310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-2.enc
2025-08-14T20:54:50.2841240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb2312-raw.enc
2025-08-14T20:54:50.2842170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCyrillic.enc
2025-08-14T20:54:50.2843060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1256.enc
2025-08-14T20:54:50.2843960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb1988.enc
2025-08-14T20:54:50.2844850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ebcdic.enc
2025-08-14T20:54:50.2845820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-jp.enc
2025-08-14T20:54:50.2846870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-13.enc
2025-08-14T20:54:50.2847630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/ksc5601.enc
2025-08-14T20:54:50.2848520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/big5.enc
2025-08-14T20:54:50.2849410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1257.enc
2025-08-14T20:54:50.2850310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/gb2312.enc
2025-08-14T20:54:50.2851200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1255.enc
2025-08-14T20:54:50.2852110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp949.enc
2025-08-14T20:54:50.2853060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-11.enc
2025-08-14T20:54:50.2854240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-10.enc
2025-08-14T20:54:50.2854880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1254.enc
2025-08-14T20:54:50.2855750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1250.enc
2025-08-14T20:54:50.2856710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCentEuro.enc
2025-08-14T20:54:50.2857660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-14.enc
2025-08-14T20:54:50.2858560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-9.enc
2025-08-14T20:54:50.2859490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-kr.enc
2025-08-14T20:54:50.2860520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-8.enc
2025-08-14T20:54:50.2861360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-15.enc
2025-08-14T20:54:50.2862240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1251.enc
2025-08-14T20:54:50.2863140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1253.enc
2025-08-14T20:54:50.2864080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso8859-16.enc
2025-08-14T20:54:50.2865210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp437.enc
2025-08-14T20:54:50.2866130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp1252.enc
2025-08-14T20:54:50.2867060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/koi8-u.enc
2025-08-14T20:54:50.2867950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macThai.enc
2025-08-14T20:54:50.2868890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/shiftjis.enc
2025-08-14T20:54:50.2869720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp861.enc
2025-08-14T20:54:50.2870680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macRomania.enc
2025-08-14T20:54:50.2871540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp860.enc
2025-08-14T20:54:50.2872430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp874.enc
2025-08-14T20:54:50.2873410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cns11643.enc
2025-08-14T20:54:50.2874520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macRoman.enc
2025-08-14T20:54:50.2875200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/jis0208.enc
2025-08-14T20:54:50.2876090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp862.enc
2025-08-14T20:54:50.2876970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/iso2022.enc
2025-08-14T20:54:50.2877930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macDingbats.enc
2025-08-14T20:54:50.2878790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp863.enc
2025-08-14T20:54:50.2879680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp866.enc
2025-08-14T20:54:50.2880580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/koi8-r.enc
2025-08-14T20:54:50.2881530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp737.enc
2025-08-14T20:54:50.2882390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp864.enc
2025-08-14T20:54:50.2883350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/macCroatian.enc
2025-08-14T20:54:50.2884220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/euc-cn.enc
2025-08-14T20:54:50.2885110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/encoding/cp865.enc
2025-08-14T20:54:50.2886000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/opt0.4/optparse.tcl
2025-08-14T20:54:50.2886900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/opt0.4/pkgIndex.tcl
2025-08-14T20:54:50.2887660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/tclIndex
2025-08-14T20:54:50.2888530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kok.msg
2025-08-14T20:54:50.2889440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sw.msg
2025-08-14T20:54:50.2890170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/pl.msg
2025-08-14T20:54:50.2891140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fa.msg
2025-08-14T20:54:50.2892030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/de_at.msg
2025-08-14T20:54:50.2893610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_bo.msg
2025-08-14T20:54:50.2894010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/el.msg
2025-08-14T20:54:50.2894540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sv.msg
2025-08-14T20:54:50.2896130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gl_es.msg
2025-08-14T20:54:50.2896310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_bw.msg
2025-08-14T20:54:50.2897280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr_ca.msg
2025-08-14T20:54:50.2899170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr_be.msg
2025-08-14T20:54:50.2899590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/hi.msg
2025-08-14T20:54:50.2899780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ja.msg
2025-08-14T20:54:50.2900700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/eo.msg
2025-08-14T20:54:50.2901570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/pt_br.msg
2025-08-14T20:54:50.2902430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/bn_in.msg
2025-08-14T20:54:50.2903300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ru_ua.msg
2025-08-14T20:54:50.2904270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_ca.msg
2025-08-14T20:54:50.2905470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_be.msg
2025-08-14T20:54:50.2906520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sq.msg
2025-08-14T20:54:50.2907600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ru.msg
2025-08-14T20:54:50.2908920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_cl.msg
2025-08-14T20:54:50.2909890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/kw.msg
2025-08-14T20:54:50.2911020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_ar.msg
2025-08-14T20:54:50.2912410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_in.msg
2025-08-14T20:54:50.2913440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_zw.msg
2025-08-14T20:54:50.2914560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/sr.msg
2025-08-14T20:54:50.2915620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/it_ch.msg
2025-08-14T20:54:50.2916700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_co.msg
2025-08-14T20:54:50.2917790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/gv.msg
2025-08-14T20:54:50.2919210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fr.msg
2025-08-14T20:54:50.2920170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ga.msg
2025-08-14T20:54:50.2921580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_ni.msg
2025-08-14T20:54:50.2922330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_za.msg
2025-08-14T20:54:50.2923490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/af.msg
2025-08-14T20:54:50.2924400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_hn.msg
2025-08-14T20:54:50.2925570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/lv.msg
2025-08-14T20:54:50.2926620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mr.msg
2025-08-14T20:54:50.2927870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ms.msg
2025-08-14T20:54:50.2929010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar.msg
2025-08-14T20:54:50.2930320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_do.msg
2025-08-14T20:54:50.2931420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_gt.msg
2025-08-14T20:54:50.2932510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/lt.msg
2025-08-14T20:54:50.2933660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/te.msg
2025-08-14T20:54:50.2934680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/tr.msg
2025-08-14T20:54:50.2935850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_ie.msg
2025-08-14T20:54:50.2937030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nl_be.msg
2025-08-14T20:54:50.2938300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_py.msg
2025-08-14T20:54:50.2939510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ta.msg
2025-08-14T20:54:50.2940590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/vi.msg
2025-08-14T20:54:50.2941640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/mt.msg
2025-08-14T20:54:50.2942710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nn.msg
2025-08-14T20:54:50.2943770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_sv.msg
2025-08-14T20:54:50.2944790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/nl.msg
2025-08-14T20:54:50.2945920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/bn.msg
2025-08-14T20:54:50.2947040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ar_lb.msg
2025-08-14T20:54:50.2948130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/zh.msg
2025-08-14T20:54:50.2949220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/fa_in.msg
2025-08-14T20:54:50.2950300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/ko_kr.msg
2025-08-14T20:54:50.2951320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_in.msg
2025-08-14T20:54:50.2952440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/es_pa.msg
2025-08-14T20:54:50.2953520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/te_in.msg
2025-08-14T20:54:50.2954740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/uk.msg
2025-08-14T20:54:50.2956060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.14-h6ba3021_1/lib/tcl8.6/msgs/en_hk.msg
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2025-08-14T20:54:50.3306630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/mdurl-0.1.0-py313hca03da5_0/info/repodata_record.json
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2025-08-14T20:54:50.3847300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aa4080
2025-08-14T20:54:50.3848200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alto-heath
2025-08-14T20:54:50.3849010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt2
2025-08-14T20:54:50.3850100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aj
2025-08-14T20:54:50.3850790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt5
2025-08-14T20:54:50.3851750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x25-raw
2025-08-14T20:54:50.3852560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos5
2025-08-14T20:54:50.3853430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aas1901
2025-08-14T20:54:50.3854250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt
2025-08-14T20:54:50.3855090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/awsc
2025-08-14T20:54:50.3856190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-unk
2025-08-14T20:54:50.3856870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos2
2025-08-14T20:54:50.3857720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple2e
2025-08-14T20:54:50.3858630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4424m
2025-08-14T20:54:50.3859520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+csr
2025-08-14T20:54:50.3860440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-generic
2025-08-14T20:54:50.3861520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/addsviewpoint
2025-08-14T20:54:50.3862340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60-s
2025-08-14T20:54:50.3863230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo+vt132
2025-08-14T20:54:50.3864050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt4
2025-08-14T20:54:50.3864950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w
2025-08-14T20:54:50.3865840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-24-rv
2025-08-14T20:54:50.3866700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alt3
2025-08-14T20:54:50.3867660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5425
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2025-08-14T20:54:50.3870280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+cup
2025-08-14T20:54:50.3871130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-2
2025-08-14T20:54:50.3872020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w
2025-08-14T20:54:50.3872870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-rv
2025-08-14T20:54:50.3874020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-ctxt
2025-08-14T20:54:50.3874730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt+s
2025-08-14T20:54:50.3875560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex175
2025-08-14T20:54:50.3876420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altos-5
2025-08-14T20:54:50.3877280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amp219
2025-08-14T20:54:50.3878160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm42
2025-08-14T20:54:50.3879060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att505-24
2025-08-14T20:54:50.3879980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-s-rv
2025-08-14T20:54:50.3880900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm1a
2025-08-14T20:54:50.3881710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615
2025-08-14T20:54:50.3882570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-emx
2025-08-14T20:54:50.3883510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrbold
2025-08-14T20:54:50.3884400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrul
2025-08-14T20:54:50.3885290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm20
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2025-08-14T20:54:50.3887150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-103k
2025-08-14T20:54:50.3887980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari
2025-08-14T20:54:50.3888920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari-old
2025-08-14T20:54:50.3889780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansiterm
2025-08-14T20:54:50.3890690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4410v1
2025-08-14T20:54:50.3891510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm11
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2025-08-14T20:54:50.3893640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5430
2025-08-14T20:54:50.3894360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-rv-ns
2025-08-14T20:54:50.3895230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrso
2025-08-14T20:54:50.3896030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi
2025-08-14T20:54:50.3896930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att505-22
2025-08-14T20:54:50.3897750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/a80
2025-08-14T20:54:50.3898860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att605-pc
2025-08-14T20:54:50.3899680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm21
2025-08-14T20:54:50.3900650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-w
2025-08-14T20:54:50.3901460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm42-ns
2025-08-14T20:54:50.3902360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+rca2
2025-08-14T20:54:50.3903200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att500
2025-08-14T20:54:50.3904290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100
2025-08-14T20:54:50.3905220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm5
2025-08-14T20:54:50.3905950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/amiga-8bit
2025-08-14T20:54:50.3911770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ambassador
2025-08-14T20:54:50.3912240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm2
2025-08-14T20:54:50.3912680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att2350
2025-08-14T20:54:50.3913160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-color-2-emx
2025-08-14T20:54:50.3913370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansis-mono
2025-08-14T20:54:50.3913630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-color-3-emx
2025-08-14T20:54:50.3913860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5620-24
2025-08-14T20:54:50.3914070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altoheath
2025-08-14T20:54:50.3914270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610+cvis0
2025-08-14T20:54:50.3914970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansisysk
2025-08-14T20:54:50.3916010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi43m
2025-08-14T20:54:50.3916840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4418-w
2025-08-14T20:54:50.3917770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420+nl
2025-08-14T20:54:50.3918630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple2e-p
2025-08-14T20:54:50.3919560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apollo_color
2025-08-14T20:54:50.3920480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730r-41
2025-08-14T20:54:50.3921410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5410v1
2025-08-14T20:54:50.3922290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi-mtabs
2025-08-14T20:54:50.3923220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-w-nl
2025-08-14T20:54:50.3924050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/adm3
2025-08-14T20:54:50.3924970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atarist-m
2025-08-14T20:54:50.3925870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att610-103k-w
2025-08-14T20:54:50.3926840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-s-rv
2025-08-14T20:54:50.3927800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+sgrdim
2025-08-14T20:54:50.3928730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-uterm-vb
2025-08-14T20:54:50.3929580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex80
2025-08-14T20:54:50.3930530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730r-24
2025-08-14T20:54:50.3931630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-w
2025-08-14T20:54:50.3932480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex219
2025-08-14T20:54:50.3933370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/addrinfo
2025-08-14T20:54:50.3934300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-60
2025-08-14T20:54:50.3935340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x25
2025-08-14T20:54:50.3936080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa+dec
2025-08-14T20:54:50.3936980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ampex210
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2025-08-14T20:54:50.3938850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-am
2025-08-14T20:54:50.3939810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/avt-w-ns
2025-08-14T20:54:50.3940800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4415-w-rv-n
2025-08-14T20:54:50.3941650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-ae
2025-08-14T20:54:50.3942630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att615-103k-w
2025-08-14T20:54:50.3943520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+erase
2025-08-14T20:54:50.3944480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att510a
2025-08-14T20:54:50.3945290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4426
2025-08-14T20:54:50.3946230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att630-24
2025-08-14T20:54:50.3947100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/altoh19
2025-08-14T20:54:50.3948020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa
2025-08-14T20:54:50.3949120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-24
2025-08-14T20:54:50.3950030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/apple-uterm
2025-08-14T20:54:50.3950960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+rep
2025-08-14T20:54:50.3951790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-rv
2025-08-14T20:54:50.3952660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/alto-h19
2025-08-14T20:54:50.3953610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aaa-30-rv-ctxt
2025-08-14T20:54:50.3954550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/atari_st-color
2025-08-14T20:54:50.3955410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansis
2025-08-14T20:54:50.3956260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/abm80
2025-08-14T20:54:50.3957190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi80x50
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2025-08-14T20:54:50.3958970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att4410
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2025-08-14T20:54:50.4060380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+inittabs
2025-08-14T20:54:50.4061660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/ansi+local
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2025-08-14T20:54:50.4078560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/aixterm-m
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2025-08-14T20:54:50.4090340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/arm100-wam
2025-08-14T20:54:50.4091340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/act5
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2025-08-14T20:54:50.4107010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att730
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2025-08-14T20:54:50.4109290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/61/att5420-nl
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2025-08-14T20:54:50.4143870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/f100-rv
2025-08-14T20:54:50.4145010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/66/freedom200
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2025-08-14T20:54:50.4157080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12-M
2025-08-14T20:54:50.4158140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P7
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2025-08-14T20:54:50.4163090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P12-W
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2025-08-14T20:54:50.4165150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/50/P14
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2025-08-14T20:54:50.4168690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp236
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2025-08-14T20:54:50.4182190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-smul
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2025-08-14T20:54:50.4185830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpterm-color
2025-08-14T20:54:50.4186580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpex2
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2025-08-14T20:54:50.4188380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath-19
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2025-08-14T20:54:50.4195430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hpterm-color2
2025-08-14T20:54:50.4196550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heathkit
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2025-08-14T20:54:50.4198050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-a
2025-08-14T20:54:50.4198980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621b-kx
2025-08-14T20:54:50.4199830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h19-bs
2025-08-14T20:54:50.4200710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp70092A
2025-08-14T20:54:50.4201660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-wl
2025-08-14T20:54:50.4202570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+pfk-cr
2025-08-14T20:54:50.4203390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz2000
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2025-08-14T20:54:50.4210360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621k45
2025-08-14T20:54:50.4210570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heathkit-a
2025-08-14T20:54:50.4211620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp98550-color
2025-08-14T20:54:50.4212360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hds200
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2025-08-14T20:54:50.4217650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1552
2025-08-14T20:54:50.4218450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2
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2025-08-14T20:54:50.4220270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+color
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2025-08-14T20:54:50.4241580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp700-wy
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2025-08-14T20:54:50.4247970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+printer
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2025-08-14T20:54:50.4250590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1510
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2025-08-14T20:54:50.4257690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2624a-10p
2025-08-14T20:54:50.4258500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath
2025-08-14T20:54:50.4259470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hft-c-old
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2025-08-14T20:54:50.4270100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1520-noesc
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2025-08-14T20:54:50.4277190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2621-48
2025-08-14T20:54:50.4278320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+pfk+cr
2025-08-14T20:54:50.4279010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/h29a-nkc-uc
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2025-08-14T20:54:50.4287810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2626-s
2025-08-14T20:54:50.4288680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2627c
2025-08-14T20:54:50.4289600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hz1552-rv
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2025-08-14T20:54:50.4296740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp+labels
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2025-08-14T20:54:50.4298540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/heath-ansi
2025-08-14T20:54:50.4299410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/68/hp2647a
2025-08-14T20:54:50.4300340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-35
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2025-08-14T20:54:50.4303390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/o4112-nd
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2025-08-14T20:54:50.4311400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oldibmpc3
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2025-08-14T20:54:50.4328050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4112
2025-08-14T20:54:50.4329230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4115
2025-08-14T20:54:50.4330440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-100-nti
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2025-08-14T20:54:50.4335260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/otek4113
2025-08-14T20:54:50.4336460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-50-nti
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2025-08-14T20:54:50.4340230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/oldpc3
2025-08-14T20:54:50.4341490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/osborne1
2025-08-14T20:54:50.4342630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/omron
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2025-08-14T20:54:50.4344940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/origpc3
2025-08-14T20:54:50.4346120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-w-vt
2025-08-14T20:54:50.4347250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-60-w
2025-08-14T20:54:50.4348420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/origibmpc3
2025-08-14T20:54:50.4349490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/old-st
2025-08-14T20:54:50.4350370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/ojerq
2025-08-14T20:54:50.4351300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/opennt-25
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2025-08-14T20:54:50.4353080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6f/os9LII
2025-08-14T20:54:50.4353980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jfbterm
2025-08-14T20:54:50.4354910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jaixterm-m
2025-08-14T20:54:50.4355720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6a/jerq
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2025-08-14T20:54:50.4362750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/35/5630DMD-24
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2025-08-14T20:54:50.4368580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intertube2
2025-08-14T20:54:50.4369780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6154-c
2025-08-14T20:54:50.4370850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm
2025-08-14T20:54:50.4372070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intertube
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2025-08-14T20:54:50.4375370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8604
2025-08-14T20:54:50.4376430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/infoton
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2025-08-14T20:54:50.4378910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmaed
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2025-08-14T20:54:50.4386580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmega
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2025-08-14T20:54:50.4388920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iTerm2.app
2025-08-14T20:54:50.4390160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-ansi-net
2025-08-14T20:54:50.4391350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/infoton2
2025-08-14T20:54:50.4392540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmvga-c
2025-08-14T20:54:50.4393860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm+16color
2025-08-14T20:54:50.4395110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims-ansi
2025-08-14T20:54:50.4395960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-system1
2025-08-14T20:54:50.4397120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa8c
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2025-08-14T20:54:50.4399360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmega-c
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2025-08-14T20:54:50.4401490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-pc
2025-08-14T20:54:50.4402500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intext2
2025-08-14T20:54:50.4403740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5081
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2025-08-14T20:54:50.4406020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ipsi
2025-08-14T20:54:50.4407370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3162
2025-08-14T20:54:50.4408580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-color
2025-08-14T20:54:50.4409810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims950-rv
2025-08-14T20:54:50.4410750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8512
2025-08-14T20:54:50.4411900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm3161-C
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2025-08-14T20:54:50.4416610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm6153-90
2025-08-14T20:54:50.4417640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm8513
2025-08-14T20:54:50.4418820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5081-c
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2025-08-14T20:54:50.4423550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm2
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2025-08-14T20:54:50.4428260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc3r
2025-08-14T20:54:50.4429520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmvga
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2025-08-14T20:54:50.4431860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ims950-b
2025-08-14T20:54:50.4433080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/interix-nti
2025-08-14T20:54:50.4434180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmmono
2025-08-14T20:54:50.4435430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa8
2025-08-14T20:54:50.4436670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iTerm.app
2025-08-14T20:54:50.4437830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/icl6404
2025-08-14T20:54:50.4439030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/icl6404-w
2025-08-14T20:54:50.4440350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iterm2-direct
2025-08-14T20:54:50.4441380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/i3101
2025-08-14T20:54:50.4442520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intext
2025-08-14T20:54:50.4443500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/interix
2025-08-14T20:54:50.4444730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpc3
2025-08-14T20:54:50.4445770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5151
2025-08-14T20:54:50.4446990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmpcx
2025-08-14T20:54:50.4448100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm+color
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2025-08-14T20:54:50.4460330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/iris-ansi-ap
2025-08-14T20:54:50.4460550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibmapa16
2025-08-14T20:54:50.4461240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm-apl
2025-08-14T20:54:50.4461570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/intextii
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2025-08-14T20:54:50.4461980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/69/ibm5154-c
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2025-08-14T20:54:50.4464170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-H
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2025-08-14T20:54:50.4468070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/51/Q310-vip-w-am
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2025-08-14T20:54:50.4471650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/58/X-hpterm
2025-08-14T20:54:50.4472980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/58/X-hpterm-color2
2025-08-14T20:54:50.4474200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2012
2025-08-14T20:54:50.4475480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-44
2025-08-14T20:54:50.4476680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+rv
2025-08-14T20:54:50.4477810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru
2025-08-14T20:54:50.4479010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator
2025-08-14T20:54:50.4480300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome+pcfkeys
2025-08-14T20:54:50.4481460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go140
2025-08-14T20:54:50.4482660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-s
2025-08-14T20:54:50.4484070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-lp
2025-08-14T20:54:50.4484910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-w-s
2025-08-14T20:54:50.4485990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gsi
2025-08-14T20:54:50.4487030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs6300
2025-08-14T20:54:50.4488380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-52
2025-08-14T20:54:50.4489820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-44-s
2025-08-14T20:54:50.4490840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh72
2025-08-14T20:54:50.4491920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430-24
2025-08-14T20:54:50.4493100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh80
2025-08-14T20:54:50.4494290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+s
2025-08-14T20:54:50.4495390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-fc5
2025-08-14T20:54:50.4496500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430-22
2025-08-14T20:54:50.4497530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt40
2025-08-14T20:54:50.4498780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go225
2025-08-14T20:54:50.4499850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33-rv
2025-08-14T20:54:50.4501100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome
2025-08-14T20:54:50.4502240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2007
2025-08-14T20:54:50.4503380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gigi
2025-08-14T20:54:50.4504510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33
2025-08-14T20:54:50.4505720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-2008
2025-08-14T20:54:50.4506770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-t
2025-08-14T20:54:50.4508040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/graphos
2025-08-14T20:54:50.4509410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76
2025-08-14T20:54:50.4510530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/glasstty
2025-08-14T20:54:50.4511760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-256color
2025-08-14T20:54:50.4513060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gs5430
2025-08-14T20:54:50.4514300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-rv
2025-08-14T20:54:50.4515390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-24
2025-08-14T20:54:50.4516770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru+unk
2025-08-14T20:54:50.4517950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh90
2025-08-14T20:54:50.4519370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-w
2025-08-14T20:54:50.4520680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-nctxt
2025-08-14T20:54:50.4521980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gnome-rh62
2025-08-14T20:54:50.4523100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go-225
2025-08-14T20:54:50.4524310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt100a
2025-08-14T20:54:50.4525360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt100
2025-08-14T20:54:50.4526550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gt42
2025-08-14T20:54:50.4527540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-s
2025-08-14T20:54:50.4528960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-lp
2025-08-14T20:54:50.4530150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/go140w
2025-08-14T20:54:50.4531430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/graphos-30
2025-08-14T20:54:50.4532610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-33-s
2025-08-14T20:54:50.4533810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/gator-52t
2025-08-14T20:54:50.4535010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/67/guru-76-wm
2025-08-14T20:54:50.4536130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4410-w
2025-08-14T20:54:50.4537610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4027ex
2025-08-14T20:54:50.4538690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/34/4025ex
2025-08-14T20:54:50.4540100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/33/386at
2025-08-14T20:54:50.4540860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/33/3b1
2025-08-14T20:54:50.4542080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4e/NCR260VT300WPP
2025-08-14T20:54:50.4543440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4e/NCRVT100WPP
2025-08-14T20:54:50.4544630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-88color
2025-08-14T20:54:50.4545610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm
2025-08-14T20:54:50.4547140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-256color
2025-08-14T20:54:50.4548520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/45/Eterm-color
2025-08-14T20:54:50.4550080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b-nb
2025-08-14T20:54:50.4551150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scanset
2025-08-14T20:54:50.4552110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/swtp
2025-08-14T20:54:50.4553320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbee-xsb
2025-08-14T20:54:50.4554250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/synertek380
2025-08-14T20:54:50.4555150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-256color
2025-08-14T20:54:50.4556150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen5
2025-08-14T20:54:50.4556900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc140
2025-08-14T20:54:50.4557860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color
2025-08-14T20:54:50.4558710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen2
2025-08-14T20:54:50.4559600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-17
2025-08-14T20:54:50.4560790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty
2025-08-14T20:54:50.4561350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun
2025-08-14T20:54:50.4562260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-16color
2025-08-14T20:54:50.4563210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm-256color
2025-08-14T20:54:50.4564070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen3
2025-08-14T20:54:50.4564930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen4
2025-08-14T20:54:50.4566060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.konsole-256color
2025-08-14T20:54:50.4567020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/s4
2025-08-14T20:54:50.4567760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m1
2025-08-14T20:54:50.4568760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-bce-s
2025-08-14T20:54:50.4569770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-bce
2025-08-14T20:54:50.4570740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel12-80
2025-08-14T20:54:50.4571580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbee
2025-08-14T20:54:50.4572470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.7
2025-08-14T20:54:50.4573720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m1b
2025-08-14T20:54:50.4574300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-cgsix
2025-08-14T20:54:50.4575110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb3
2025-08-14T20:54:50.4576010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi
2025-08-14T20:54:50.4576940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.konsole
2025-08-14T20:54:50.4577810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-m
2025-08-14T20:54:50.4579130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.6
2025-08-14T20:54:50.4579630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.rxvt
2025-08-14T20:54:50.4580650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-type4
2025-08-14T20:54:50.4581360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-0.8
2025-08-14T20:54:50.4582330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb2
2025-08-14T20:54:50.4583180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m1b
2025-08-14T20:54:50.4584180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbeeic
2025-08-14T20:54:50.4584990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-e-s
2025-08-14T20:54:50.4585810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-cmd
2025-08-14T20:54:50.4586690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc
2025-08-14T20:54:50.4587600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.gnome
2025-08-14T20:54:50.4588560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-r6
2025-08-14T20:54:50.4589500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-s
2025-08-14T20:54:50.4590310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-c
2025-08-14T20:54:50.4591220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.vte
2025-08-14T20:54:50.4592100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sune
2025-08-14T20:54:50.4593110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1-nb
2025-08-14T20:54:50.4594030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-base
2025-08-14T20:54:50.4595290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.gnome
2025-08-14T20:54:50.4596240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m2
2025-08-14T20:54:50.4597040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun2
2025-08-14T20:54:50.4597930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-w
2025-08-14T20:54:50.4598980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-xfree86
2025-08-14T20:54:50.4600050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm
2025-08-14T20:54:50.4600690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-ss5
2025-08-14T20:54:50.4601510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-e
2025-08-14T20:54:50.4602410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-nic
2025-08-14T20:54:50.4603510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mlterm-256color
2025-08-14T20:54:50.4604400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.rxvt
2025-08-14T20:54:50.4605450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-34
2025-08-14T20:54:50.4606230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel2-80
2025-08-14T20:54:50.4607080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st-direct
2025-08-14T20:54:50.4607940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/simterm
2025-08-14T20:54:50.4608950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b
2025-08-14T20:54:50.4609760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sc415
2025-08-14T20:54:50.4610680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sibo
2025-08-14T20:54:50.4611570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi-old
2025-08-14T20:54:50.4612410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stv52
2025-08-14T20:54:50.4613380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-s
2025-08-14T20:54:50.4614370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.xterm-new
2025-08-14T20:54:50.4615140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st
2025-08-14T20:54:50.4616080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-color
2025-08-14T20:54:50.4616960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sbobcat
2025-08-14T20:54:50.4617900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux
2025-08-14T20:54:50.4618740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-12
2025-08-14T20:54:50.4619800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-bce-s
2025-08-14T20:54:50.4620700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen+italics
2025-08-14T20:54:50.4621530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-24
2025-08-14T20:54:50.4622500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-m2
2025-08-14T20:54:50.4623460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.linux
2025-08-14T20:54:50.4624370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screwpoint
2025-08-14T20:54:50.4625490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/soroc120
2025-08-14T20:54:50.4626650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-48
2025-08-14T20:54:50.4627870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/simpleterm
2025-08-14T20:54:50.4629120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/synertek
2025-08-14T20:54:50.4630260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scrt
2025-08-14T20:54:50.4631380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen
2025-08-14T20:54:50.4632630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-il
2025-08-14T20:54:50.4633910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce
2025-08-14T20:54:50.4635060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sbi
2025-08-14T20:54:50.4636370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sb1
2025-08-14T20:54:50.4637580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-256color
2025-08-14T20:54:50.4638660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52
2025-08-14T20:54:50.4639760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scrhp
2025-08-14T20:54:50.4641060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stterm-16color
2025-08-14T20:54:50.4642310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/scoansi-new
2025-08-14T20:54:50.4643620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/superbrain
2025-08-14T20:54:50.4644860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color-s
2025-08-14T20:54:50.4646040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sv80
2025-08-14T20:54:50.4647130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mlterm
2025-08-14T20:54:50.4648360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.vte-256color
2025-08-14T20:54:50.4649620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.putty-256color
2025-08-14T20:54:50.4650860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.mrxvt
2025-08-14T20:54:50.4652160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/st52-old
2025-08-14T20:54:50.4653340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.Eterm
2025-08-14T20:54:50.4654500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/spinwriter
2025-08-14T20:54:50.4655650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-s
2025-08-14T20:54:50.4656870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun1
2025-08-14T20:54:50.4657910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.teraterm
2025-08-14T20:54:50.4659260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.Eterm
2025-08-14T20:54:50.4660360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.mrxvt
2025-08-14T20:54:50.4661590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-16color-bce
2025-08-14T20:54:50.4662810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-s
2025-08-14T20:54:50.4663760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/stv52pc
2025-08-14T20:54:50.4664970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1b-80
2025-08-14T20:54:50.4666110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/system1
2025-08-14T20:54:50.4667310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.linux-m1
2025-08-14T20:54:50.4668360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-1
2025-08-14T20:54:50.4669690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-color
2025-08-14T20:54:50.4670910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.xterm-new
2025-08-14T20:54:50.4672250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-256color
2025-08-14T20:54:50.4673480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen+fkeys
2025-08-14T20:54:50.4674800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen-bce.konsole
2025-08-14T20:54:50.4675820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun+sl
2025-08-14T20:54:50.4676970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sc410
2025-08-14T20:54:50.4678120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/sun-s-e
2025-08-14T20:54:50.4679350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/screen.minitel1
2025-08-14T20:54:50.4680410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/73/securecrt
2025-08-14T20:54:50.4681510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424
2025-08-14T20:54:50.4682720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52
2025-08-14T20:54:50.4683900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-mc-vb
2025-08-14T20:54:50.4685120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-s
2025-08-14T20:54:50.4686370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-unk-2p
2025-08-14T20:54:50.4687590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-rv
2025-08-14T20:54:50.4688690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-15
2025-08-14T20:54:50.4689750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-1
2025-08-14T20:54:50.4690850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek
2025-08-14T20:54:50.4692190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti926-8
2025-08-14T20:54:50.4693340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc
2025-08-14T20:54:50.4694540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb
2025-08-14T20:54:50.4695750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi925-hi
2025-08-14T20:54:50.4696860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty33
2025-08-14T20:54:50.4698160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4027-ex
2025-08-14T20:54:50.4699310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4107
2025-08-14T20:54:50.4700440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti928-8
2025-08-14T20:54:50.4701600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-rv
2025-08-14T20:54:50.4702850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p-p
2025-08-14T20:54:50.4703960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb-unk
2025-08-14T20:54:50.4705070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ttydmd
2025-08-14T20:54:50.4706320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-p-2p
2025-08-14T20:54:50.4707460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4109
2025-08-14T20:54:50.4708500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty35
2025-08-14T20:54:50.4709640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-mc-2p
2025-08-14T20:54:50.4710800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-8-132
2025-08-14T20:54:50.4712000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p-unk
2025-08-14T20:54:50.4713100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti931
2025-08-14T20:54:50.4714390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi970-vb
2025-08-14T20:54:50.4715430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425
2025-08-14T20:54:50.4716510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts-1p
2025-08-14T20:54:50.4717570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920
2025-08-14T20:54:50.4718660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-34
2025-08-14T20:54:50.4719840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi9065
2025-08-14T20:54:50.4721030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-p-2p
2025-08-14T20:54:50.4722290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p-p
2025-08-14T20:54:50.4723530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+printer
2025-08-14T20:54:50.4724760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc-2p
2025-08-14T20:54:50.4725780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t16
2025-08-14T20:54:50.4726840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c
2025-08-14T20:54:50.4728040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk-vb
2025-08-14T20:54:50.4729110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tgtelnet
2025-08-14T20:54:50.4730230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk
2025-08-14T20:54:50.4731460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4027
2025-08-14T20:54:50.4732610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology
2025-08-14T20:54:50.4733800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620
2025-08-14T20:54:50.4735000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc-vb
2025-08-14T20:54:50.4736150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b+fn
2025-08-14T20:54:50.4736800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws2103-sna
2025-08-14T20:54:50.4737710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105-30
2025-08-14T20:54:50.4738600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws2102-sna
2025-08-14T20:54:50.4739530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-17-ws
2025-08-14T20:54:50.4740400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b
2025-08-14T20:54:50.4741310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-mc
2025-08-14T20:54:50.4742170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi910
2025-08-14T20:54:50.4743330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb
2025-08-14T20:54:50.4743990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424-1
2025-08-14T20:54:50.4744810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t10
2025-08-14T20:54:50.4745760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-unk
2025-08-14T20:54:50.4746570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti707
2025-08-14T20:54:50.4747430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi921
2025-08-14T20:54:50.4748390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti700
2025-08-14T20:54:50.4749170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4404
2025-08-14T20:54:50.4750100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-2p
2025-08-14T20:54:50.4751230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-2p
2025-08-14T20:54:50.4751820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken
2025-08-14T20:54:50.4752640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tt52
2025-08-14T20:54:50.4753540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025a
2025-08-14T20:54:50.4754480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb-p
2025-08-14T20:54:50.4755550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-unk-2p
2025-08-14T20:54:50.4756350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410v1-w
2025-08-14T20:54:50.4757180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trs2
2025-08-14T20:54:50.4758150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-mc-2p
2025-08-14T20:54:50.4758980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950
2025-08-14T20:54:50.4759850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924
2025-08-14T20:54:50.4760710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52-m
2025-08-14T20:54:50.4761660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-132
2025-08-14T20:54:50.4762570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-nl
2025-08-14T20:54:50.4763470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425-w
2025-08-14T20:54:50.4764360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-rv
2025-08-14T20:54:50.4765280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-p-vb
2025-08-14T20:54:50.4766210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc-vb
2025-08-14T20:54:50.4767100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi970-2p
2025-08-14T20:54:50.4768020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4207
2025-08-14T20:54:50.4769250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm4.59
2025-08-14T20:54:50.4769850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912cc
2025-08-14T20:54:50.4770830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-vb-unk
2025-08-14T20:54:50.4771640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t3800
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2025-08-14T20:54:50.4773600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-1.0.0
2025-08-14T20:54:50.4774420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw100
2025-08-14T20:54:50.4775350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+dim
2025-08-14T20:54:50.4776260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet300
2025-08-14T20:54:50.4777290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-2018
2025-08-14T20:54:50.4778040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti703-w
2025-08-14T20:54:50.4779110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty43
2025-08-14T20:54:50.4780130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113
2025-08-14T20:54:50.4780840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-16color
2025-08-14T20:54:50.4781650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminator
2025-08-14T20:54:50.4782520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4114
2025-08-14T20:54:50.4783560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti_ansi
2025-08-14T20:54:50.4784360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100-ctxt
2025-08-14T20:54:50.4785260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5425-nl
2025-08-14T20:54:50.4786190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teletec
2025-08-14T20:54:50.4787020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts1p
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2025-08-14T20:54:50.4789780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4125
2025-08-14T20:54:50.4790720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi950-rv-4p
2025-08-14T20:54:50.4792270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100
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2025-08-14T20:54:50.4794260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410-w
2025-08-14T20:54:50.4794500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-p
2025-08-14T20:54:50.4795290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab
2025-08-14T20:54:50.4796060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti707-w
2025-08-14T20:54:50.4797070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-p
2025-08-14T20:54:50.4797820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi955-w
2025-08-14T20:54:50.4798810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-mc-2p
2025-08-14T20:54:50.4799680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113-34
2025-08-14T20:54:50.4800820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-p
2025-08-14T20:54:50.4801430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4115
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2025-08-14T20:54:50.4803260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112
2025-08-14T20:54:50.4804230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet1200
2025-08-14T20:54:50.4805110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t3700
2025-08-14T20:54:50.4807250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-sc+fkeys
2025-08-14T20:54:50.4807750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t1061f
2025-08-14T20:54:50.4808590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty37
2025-08-14T20:54:50.4809560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c
2025-08-14T20:54:50.4810390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/t1061
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2025-08-14T20:54:50.4814100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-unk
2025-08-14T20:54:50.4815050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-vt+fkeys
2025-08-14T20:54:50.4815940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts100-sp
2025-08-14T20:54:50.4816880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4420
2025-08-14T20:54:50.4817820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p-mc
2025-08-14T20:54:50.4818710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4424m
2025-08-14T20:54:50.4819610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105
2025-08-14T20:54:50.4820540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4015-sm
2025-08-14T20:54:50.4821490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-mc
2025-08-14T20:54:50.4822360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminet
2025-08-14T20:54:50.4823240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b
2025-08-14T20:54:50.4824180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w
2025-08-14T20:54:50.4825090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-w-rv
2025-08-14T20:54:50.4825990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teleray
2025-08-14T20:54:50.4826830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trsII
2025-08-14T20:54:50.4827740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+vb
2025-08-14T20:54:50.4828700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912c-p-2p
2025-08-14T20:54:50.4829630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-2p-p
2025-08-14T20:54:50.4830570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4109brl
2025-08-14T20:54:50.4831410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty4426
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2025-08-14T20:54:50.4833280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-unk-2p
2025-08-14T20:54:50.4834220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-rv
2025-08-14T20:54:50.4835110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112-5
2025-08-14T20:54:50.4836060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux-256color
2025-08-14T20:54:50.4837160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi924
2025-08-14T20:54:50.4838290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-rv-nl
2025-08-14T20:54:50.4839630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti924-8w
2025-08-14T20:54:50.4840830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p-p
2025-08-14T20:54:50.4842090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132-w
2025-08-14T20:54:50.4843280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts-1
2025-08-14T20:54:50.4844830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-p-2p
2025-08-14T20:54:50.4846160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tws-generic
2025-08-14T20:54:50.4847420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tandem6510
2025-08-14T20:54:50.4848900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm-256color
2025-08-14T20:54:50.4850190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-mc
2025-08-14T20:54:50.4851330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912
2025-08-14T20:54:50.4852560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm
2025-08-14T20:54:50.4853840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti733
2025-08-14T20:54:50.4854920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025
2025-08-14T20:54:50.4856100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+mc
2025-08-14T20:54:50.4857210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410
2025-08-14T20:54:50.4858340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi92D
2025-08-14T20:54:50.4859610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-unk-vb
2025-08-14T20:54:50.4860860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4014
2025-08-14T20:54:50.4862000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-vt
2025-08-14T20:54:50.4863080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-2p
2025-08-14T20:54:50.4864270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4013
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2025-08-14T20:54:50.4869030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti735
2025-08-14T20:54:50.4870190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux
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2025-08-14T20:54:50.4875040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tw52-color
2025-08-14T20:54:50.4876140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/trs16
2025-08-14T20:54:50.4877190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4012
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2025-08-14T20:54:50.4884730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-2p-unk
2025-08-14T20:54:50.4885770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tab132
2025-08-14T20:54:50.4886950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4023
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2025-08-14T20:54:50.4892530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi955-hb
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2025-08-14T20:54:50.4895690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4014-sm
2025-08-14T20:54:50.4897030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-nl
2025-08-14T20:54:50.4898100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916
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2025-08-14T20:54:50.4901490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm4.97
2025-08-14T20:54:50.4902630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-cr
2025-08-14T20:54:50.4904100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4113-nd
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2025-08-14T20:54:50.4906440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-vb-unk
2025-08-14T20:54:50.4907530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tmux-direct
2025-08-14T20:54:50.4908800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-220-7
2025-08-14T20:54:50.4909920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4107brl
2025-08-14T20:54:50.4910930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ts1
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2025-08-14T20:54:50.4924600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-220-8
2025-08-14T20:54:50.4925820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5620-24
2025-08-14T20:54:50.4926930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5410v1
2025-08-14T20:54:50.4928140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420+nl
2025-08-14T20:54:50.4929370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025ex
2025-08-14T20:54:50.4930460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-ex
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2025-08-14T20:54:50.4933130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b-p-vb
2025-08-14T20:54:50.4934230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti800
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2025-08-14T20:54:50.4936710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty5420-w-rv-n
2025-08-14T20:54:50.4938000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi912b+2p
2025-08-14T20:54:50.4939150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tty40
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2025-08-14T20:54:50.4942940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-mc
2025-08-14T20:54:50.4943940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920b-vb
2025-08-14T20:54:50.4945310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tt
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2025-08-14T20:54:50.4948960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/ti916-8
2025-08-14T20:54:50.4950210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teraterm2.3
2025-08-14T20:54:50.4951470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-0.6.1
2025-08-14T20:54:50.4952450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi910+
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2025-08-14T20:54:50.4955830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/termite
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2025-08-14T20:54:50.4958130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4105a
2025-08-14T20:54:50.4959710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4112-nd
2025-08-14T20:54:50.4960980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/teken-2022
2025-08-14T20:54:50.4962220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4025-17
2025-08-14T20:54:50.4963540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tvi920c-vb-p
2025-08-14T20:54:50.4964620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tek4106brl
2025-08-14T20:54:50.4965930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/terminology-1.8.1
2025-08-14T20:54:50.4967220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/74/tkterm
2025-08-14T20:54:50.4968570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4c/LFT-PC850
2025-08-14T20:54:50.4970000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4d/MtxOrb162
2025-08-14T20:54:50.4971030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/4d/MtxOrb
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2025-08-14T20:54:50.4973310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/uniterm
2025-08-14T20:54:50.4974630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/75/ultima2
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2025-08-14T20:54:50.4983350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm-w
2025-08-14T20:54:50.4984430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-xpm
2025-08-14T20:54:50.4985590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rtpc
2025-08-14T20:54:50.4986960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-16color
2025-08-14T20:54:50.4988150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-cygwin-native
2025-08-14T20:54:50.4989320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent200
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2025-08-14T20:54:50.4991750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm-nam
2025-08-14T20:54:50.4992830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rbcomm
2025-08-14T20:54:50.4994030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-88color
2025-08-14T20:54:50.4995140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rcons
2025-08-14T20:54:50.4996430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-cygwin
2025-08-14T20:54:50.4997510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent40
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2025-08-14T20:54:50.5001180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt
2025-08-14T20:54:50.5002430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent60
2025-08-14T20:54:50.5003420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rca
2025-08-14T20:54:50.5004710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-color
2025-08-14T20:54:50.5005970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-256color
2025-08-14T20:54:50.5012930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rt6221-w
2025-08-14T20:54:50.5013250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt-basic
2025-08-14T20:54:50.5013570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rcons-color
2025-08-14T20:54:50.5013780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent40+
2025-08-14T20:54:50.5014020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/rxvt+pcfkeys
2025-08-14T20:54:50.5014220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent
2025-08-14T20:54:50.5014420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/72/regent20
2025-08-14T20:54:50.5014640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-vt100
2025-08-14T20:54:50.5015530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm
2025-08-14T20:54:50.5016890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-direct
2025-08-14T20:54:50.5018000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-base
2025-08-14T20:54:50.5019100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr
2025-08-14T20:54:50.5020190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds7372-w
2025-08-14T20:54:50.5021450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm-color
2025-08-14T20:54:50.5022580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-vt420pc
2025-08-14T20:54:50.5023510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kvt
2025-08-14T20:54:50.5024580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kaypro
2025-08-14T20:54:50.5025720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole
2025-08-14T20:54:50.5026930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-solaris
2025-08-14T20:54:50.5028040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-linux
2025-08-14T20:54:50.5028970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/ktm
2025-08-14T20:54:50.5030150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr-dumb
2025-08-14T20:54:50.5031380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty+common
2025-08-14T20:54:50.5032670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-16color
2025-08-14T20:54:50.5033700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/k45
2025-08-14T20:54:50.5034970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kermit-am
2025-08-14T20:54:50.5035980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds6402
2025-08-14T20:54:50.5037120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kds7372
2025-08-14T20:54:50.5038440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+acs
2025-08-14T20:54:50.5039580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty+setal
2025-08-14T20:54:50.5040840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole+pcfkeys
2025-08-14T20:54:50.5041930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-xf3x
2025-08-14T20:54:50.5043060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kt7ix
2025-08-14T20:54:50.5044250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-256color
2025-08-14T20:54:50.5045400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kermit
2025-08-14T20:54:50.5046830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty-direct
2025-08-14T20:54:50.5047850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kt7
2025-08-14T20:54:50.5049000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+color
2025-08-14T20:54:50.5050200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kitty
2025-08-14T20:54:50.5051380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kterm-co
2025-08-14T20:54:50.5052530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+koi8acs
2025-08-14T20:54:50.5053770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/klone+sgr8
2025-08-14T20:54:50.5054910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/konsole-xf4x
2025-08-14T20:54:50.5056020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kon
2025-08-14T20:54:50.5057100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kaypro2
2025-08-14T20:54:50.5058280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6b/kon2
2025-08-14T20:54:50.5059460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/38/8510
2025-08-14T20:54:50.5060640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm
2025-08-14T20:54:50.5062000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25-mc-nl
2025-08-14T20:54:50.5063200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160wy60wpp
2025-08-14T20:54:50.5064530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build309
2025-08-14T20:54:50.5065650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-517
2025-08-14T20:54:50.5066890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200wpp
2025-08-14T20:54:50.5068120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25-w
2025-08-14T20:54:50.5069350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy50+pp
2025-08-14T20:54:50.5070640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news28-a
2025-08-14T20:54:50.5071900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25
2025-08-14T20:54:50.5073070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-29-euc
2025-08-14T20:54:50.5074100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/next
2025-08-14T20:54:50.5075300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-511
2025-08-14T20:54:50.5076540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-s
2025-08-14T20:54:50.5077560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/netbsd6
2025-08-14T20:54:50.5078730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-50-w
2025-08-14T20:54:50.5079980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-60-nti
2025-08-14T20:54:50.5081260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c-s-7
2025-08-14T20:54:50.5082480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build440
2025-08-14T20:54:50.5083660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100an
2025-08-14T20:54:50.5084880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt+sl
2025-08-14T20:54:50.5086120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100pp
2025-08-14T20:54:50.5087210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newhpkeyboard
2025-08-14T20:54:50.5088410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-42-sjis
2025-08-14T20:54:50.5089660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vpwpp
2025-08-14T20:54:50.5090780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nxterm
2025-08-14T20:54:50.5091870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501
2025-08-14T20:54:50.5093060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansisysk
2025-08-14T20:54:50.5094330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200an
2025-08-14T20:54:50.5095580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300pp
2025-08-14T20:54:50.5096760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy325wpp
2025-08-14T20:54:50.5098180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vp+sl
2025-08-14T20:54:50.5099170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40
2025-08-14T20:54:50.5100530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35-w
2025-08-14T20:54:50.5101790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy350wpp
2025-08-14T20:54:50.5102890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt300wpp
2025-08-14T20:54:50.5104090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-100
2025-08-14T20:54:50.5105290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-vt220-8
2025-08-14T20:54:50.5106350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512-a
2025-08-14T20:54:50.5107430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518-o
2025-08-14T20:54:50.5108640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300an
2025-08-14T20:54:50.5109880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt200pp
2025-08-14T20:54:50.5111010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100wpp
2025-08-14T20:54:50.5112100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500
2025-08-14T20:54:50.5113140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512-o
2025-08-14T20:54:50.5114310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518-a
2025-08-14T20:54:50.5115560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-100-nti
2025-08-14T20:54:50.5116330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40-o
2025-08-14T20:54:50.5117210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m
2025-08-14T20:54:50.5118110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-mc
2025-08-14T20:54:50.5118990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+s
2025-08-14T20:54:50.5119910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-nl
2025-08-14T20:54:50.5120770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news40-a
2025-08-14T20:54:50.5121690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-c
2025-08-14T20:54:50.5122560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nec5520
2025-08-14T20:54:50.5123470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260wy325pp
2025-08-14T20:54:50.5124410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100wan
2025-08-14T20:54:50.5125300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-7-s
2025-08-14T20:54:50.5126160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501-o
2025-08-14T20:54:50.5127000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news31
2025-08-14T20:54:50.5127960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300wan
2025-08-14T20:54:50.5128840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp251-o
2025-08-14T20:54:50.5129770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100wan
2025-08-14T20:54:50.5130670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-old-unk
2025-08-14T20:54:50.5131550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp251-a
2025-08-14T20:54:50.5132420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwe501-a
2025-08-14T20:54:50.5133370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-s-acs
2025-08-14T20:54:50.5134240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+7
2025-08-14T20:54:50.5135240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build400
2025-08-14T20:54:50.5136100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-bce
2025-08-14T20:54:50.5137000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncrvt100an
2025-08-14T20:54:50.5137940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-mc-nl
2025-08-14T20:54:50.5138820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansisys
2025-08-14T20:54:50.5139720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+acs
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2025-08-14T20:54:50.5142490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33-sjis
2025-08-14T20:54:50.5143340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-m
2025-08-14T20:54:50.5144290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-s-acs
2025-08-14T20:54:50.5145250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp518
2025-08-14T20:54:50.5146040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp511
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2025-08-14T20:54:50.5147900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp517-w
2025-08-14T20:54:50.5148850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260intwan
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2025-08-14T20:54:50.5152570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+c41
2025-08-14T20:54:50.5153400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp517
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2025-08-14T20:54:50.5155120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news31-a
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2025-08-14T20:54:50.5159630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt200wan
2025-08-14T20:54:50.5160480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/n7900
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2025-08-14T20:54:50.5163240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25
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2025-08-14T20:54:50.5165970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs-m-s
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2025-08-14T20:54:50.5169720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900iv
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2025-08-14T20:54:50.5173440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansi.sysk
2025-08-14T20:54:50.5174390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt300pp
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2025-08-14T20:54:50.5182700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35
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2025-08-14T20:54:50.5184550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp-517-w
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2025-08-14T20:54:50.5186960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-m-acs
2025-08-14T20:54:50.5188290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-25-w-vt
2025-08-14T20:54:50.5189370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900
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2025-08-14T20:54:50.5193010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100an
2025-08-14T20:54:50.5194130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-old
2025-08-14T20:54:50.5195290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-acs
2025-08-14T20:54:50.5196510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr160vt100pp
2025-08-14T20:54:50.5197720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/newscbm33
2025-08-14T20:54:50.5198810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news
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2025-08-14T20:54:50.5201230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33
2025-08-14T20:54:50.5202430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/no+brackets
2025-08-14T20:54:50.5203600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-unk
2025-08-14T20:54:50.5204740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news42
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2025-08-14T20:54:50.5207220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-direct
2025-08-14T20:54:50.5208330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp514-a
2025-08-14T20:54:50.5209570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-256color
2025-08-14T20:54:50.5210750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news29
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2025-08-14T20:54:50.5215520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ndr9500-25-nl
2025-08-14T20:54:50.5216700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncsa-ns
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2025-08-14T20:54:50.5219130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ntconsole-35-nti
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2025-08-14T20:54:50.5226020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-16color
2025-08-14T20:54:50.5227320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news28
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2025-08-14T20:54:50.5238140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm+c
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2025-08-14T20:54:50.5240460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-42
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2025-08-14T20:54:50.5248710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-29
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2025-08-14T20:54:50.5254520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr7900i
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2025-08-14T20:54:50.5258070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp512
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2025-08-14T20:54:50.5264470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/ncr260vt100wpp
2025-08-14T20:54:50.5265630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nansi.sys
2025-08-14T20:54:50.5266840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build326
2025-08-14T20:54:50.5268030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513-o
2025-08-14T20:54:50.5269180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513
2025-08-14T20:54:50.5270480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp514
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2025-08-14T20:54:50.5273180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nsterm-build343
2025-08-14T20:54:50.5274290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/nwp513-a
2025-08-14T20:54:50.5275470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6e/news-33-euc
2025-08-14T20:54:50.5276690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/6053-dg
2025-08-14T20:54:50.5277740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/605x-dg
2025-08-14T20:54:50.5278900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/36/6053
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2025-08-14T20:54:50.5286010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/excel62-w
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2025-08-14T20:54:50.5291880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+italics
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2025-08-14T20:54:50.5294290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+sgr
2025-08-14T20:54:50.5295640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+strikeout
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2025-08-14T20:54:50.5298080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks-vt52
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2025-08-14T20:54:50.5303740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/ecma+color
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2025-08-14T20:54:50.5310860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/elks-ansi
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2025-08-14T20:54:50.5312620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/emots
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2025-08-14T20:54:50.5315230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/65/eterm
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2025-08-14T20:54:50.5318850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc-w-rv
2025-08-14T20:54:50.5319720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8
2025-08-14T20:54:50.5320680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-nobold
2025-08-14T20:54:50.5321510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg2.0
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2025-08-14T20:54:50.5325890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg3.10rv
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2025-08-14T20:54:50.5328460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bh4
2025-08-14T20:54:50.5329450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehiveIIIm
2025-08-14T20:54:50.5330300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-m
2025-08-14T20:54:50.5331220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc-rv
2025-08-14T20:54:50.5332170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bracketed+paste
2025-08-14T20:54:50.5333050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-pc
2025-08-14T20:54:50.5333920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg3.10nv
2025-08-14T20:54:50.5334870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bq300-8-pc-w
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2025-08-14T20:54:50.5342790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg2.0nv
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2025-08-14T20:54:50.5349840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bterm
2025-08-14T20:54:50.5350810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-pc-mono
2025-08-14T20:54:50.5351680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg1.25rv
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2025-08-14T20:54:50.5353510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bsdos-sparc
2025-08-14T20:54:50.5354420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehive4
2025-08-14T20:54:50.5355360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/beehive3
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2025-08-14T20:54:50.5359730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/62/bg1.25
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2025-08-14T20:54:50.5365090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-24
2025-08-14T20:54:50.5366000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-41
2025-08-14T20:54:50.5366900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/37/730MTG-41r
2025-08-14T20:54:50.5367760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime314
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2025-08-14T20:54:50.5377510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-gnu-color
2025-08-14T20:54:50.5378330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk227
2025-08-14T20:54:50.5379240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-old
2025-08-14T20:54:50.5380180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty+common
2025-08-14T20:54:50.5381050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-fb
2025-08-14T20:54:50.5382030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp
2025-08-14T20:54:50.5382850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp2
2025-08-14T20:54:50.5383680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mterm
2025-08-14T20:54:50.5384570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2
2025-08-14T20:54:50.5385430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mvterm
2025-08-14T20:54:50.5386310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mt-70
2025-08-14T20:54:50.5387300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-old-am
2025-08-14T20:54:50.5388270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mrxvt-256color
2025-08-14T20:54:50.5389110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm2
2025-08-14T20:54:50.5390060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/macintosh
2025-08-14T20:54:50.5390970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/macterminal-w
2025-08-14T20:54:50.5391840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100
2025-08-14T20:54:50.5392790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-gnu
2025-08-14T20:54:50.5393600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mac-w
2025-08-14T20:54:50.5394520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microterm5
2025-08-14T20:54:50.5395400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/m2-nam
2025-08-14T20:54:50.5396360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mskermit227am
2025-08-14T20:54:50.5397210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm3
2025-08-14T20:54:50.5398090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a-v
2025-08-14T20:54:50.5398970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a
2025-08-14T20:54:50.5399940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-1.7
2025-08-14T20:54:50.5400880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel2-80
2025-08-14T20:54:50.5401750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/modgraph2
2025-08-14T20:54:50.5402680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1-nb
2025-08-14T20:54:50.5403540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-hb
2025-08-14T20:54:50.5404440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk227am
2025-08-14T20:54:50.5405330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mimeii
2025-08-14T20:54:50.5406270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b-80
2025-08-14T20:54:50.5407120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microbee
2025-08-14T20:54:50.5408070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mosh-256color
2025-08-14T20:54:50.5408970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm-direct
2025-08-14T20:54:50.5409910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr-linux
2025-08-14T20:54:50.5410830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mskermit22714
2025-08-14T20:54:50.5411770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty-direct
2025-08-14T20:54:50.5412680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr-sun
2025-08-14T20:54:50.5413450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mac
2025-08-14T20:54:50.5414370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1
2025-08-14T20:54:50.5415190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgt
2025-08-14T20:54:50.5416100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime-3ax
2025-08-14T20:54:50.5417050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm-256color
2025-08-14T20:54:50.5417980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel12-80
2025-08-14T20:54:50.5418880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/modgraph
2025-08-14T20:54:50.5419730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mgr
2025-08-14T20:54:50.5420610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microterm
2025-08-14T20:54:50.5421590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm+pcfkeys
2025-08-14T20:54:50.5422480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/masscomp1
2025-08-14T20:54:50.5423670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-color
2025-08-14T20:54:50.5424670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime1
2025-08-14T20:54:50.5425810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mm314
2025-08-14T20:54:50.5427000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime3a
2025-08-14T20:54:50.5428100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mm340
2025-08-14T20:54:50.5429280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mt4520-rv
2025-08-14T20:54:50.5430450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/megatek
2025-08-14T20:54:50.5431610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel-2-nam
2025-08-14T20:54:50.5432780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b-nb
2025-08-14T20:54:50.5434020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel-2
2025-08-14T20:54:50.5435180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mono-emx
2025-08-14T20:54:50.5436340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime
2025-08-14T20:54:50.5437550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/msk22714
2025-08-14T20:54:50.5438730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mdl110
2025-08-14T20:54:50.5439920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mimei
2025-08-14T20:54:50.5441020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach
2025-08-14T20:54:50.5442190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime2a-s
2025-08-14T20:54:50.5443440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-1.5
2025-08-14T20:54:50.5444510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/microb
2025-08-14T20:54:50.5445790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/memhp
2025-08-14T20:54:50.5446970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mintty
2025-08-14T20:54:50.5448190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mlterm
2025-08-14T20:54:50.5449460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100-color
2025-08-14T20:54:50.5450690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix-3.0
2025-08-14T20:54:50.5452010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mime3ax
2025-08-14T20:54:50.5453030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt100+
2025-08-14T20:54:50.5454190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/morphos
2025-08-14T20:54:50.5455370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel
2025-08-14T20:54:50.5456480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minix
2025-08-14T20:54:50.5457540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mod
2025-08-14T20:54:50.5458710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mach-bold
2025-08-14T20:54:50.5459850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/minitel1b
2025-08-14T20:54:50.5461000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-terminal
2025-08-14T20:54:50.5462020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/mrxvt
2025-08-14T20:54:50.5463570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6d/ms-vt-utf8
2025-08-14T20:54:50.5464860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisaterm-w
2025-08-14T20:54:50.5466030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux3.0
2025-08-14T20:54:50.5467170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux+sfkeys
2025-08-14T20:54:50.5468020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m2
2025-08-14T20:54:50.5468860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/luna
2025-08-14T20:54:50.5469790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-lat
2025-08-14T20:54:50.5470660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/luna68k
2025-08-14T20:54:50.5471600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-koi8r
2025-08-14T20:54:50.5472460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/la120
2025-08-14T20:54:50.5473360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lft-pc850
2025-08-14T20:54:50.5474270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.2
2025-08-14T20:54:50.5475120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-s
2025-08-14T20:54:50.5476090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux+decid
2025-08-14T20:54:50.5476950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisaterm
2025-08-14T20:54:50.5477880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-16color
2025-08-14T20:54:50.5478710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/ln03
2025-08-14T20:54:50.5479580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/ln03-w
2025-08-14T20:54:50.5480480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-vt
2025-08-14T20:54:50.5481340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/layer
2025-08-14T20:54:50.5482310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-basic
2025-08-14T20:54:50.5483210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lisa
2025-08-14T20:54:50.5484010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux
2025-08-14T20:54:50.5484920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m1
2025-08-14T20:54:50.5485830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-c-nc
2025-08-14T20:54:50.5486680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/liswb
2025-08-14T20:54:50.5487510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lft
2025-08-14T20:54:50.5488430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m1b
2025-08-14T20:54:50.5489320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.6
2025-08-14T20:54:50.5490280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux2.6.26
2025-08-14T20:54:50.5491120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-c
2025-08-14T20:54:50.5492020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-m
2025-08-14T20:54:50.5492920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-nic
2025-08-14T20:54:50.5493840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/linux-koi8
2025-08-14T20:54:50.5494650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/6c/lpr
2025-08-14T20:54:50.5495520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/955-w
2025-08-14T20:54:50.5496380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/9term
2025-08-14T20:54:50.5497250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/39/955-hb
2025-08-14T20:54:50.5498240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-4p
2025-08-14T20:54:50.5499070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/coco3
2025-08-14T20:54:50.5499990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-6lpi
2025-08-14T20:54:50.5500840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cx100
2025-08-14T20:54:50.5501680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c321
2025-08-14T20:54:50.5502550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit80
2025-08-14T20:54:50.5503740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50
2025-08-14T20:54:50.5504370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cops-10
2025-08-14T20:54:50.5505290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept-avt
2025-08-14T20:54:50.5506180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50r
2025-08-14T20:54:50.5507180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept100-rv
2025-08-14T20:54:50.5508050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60
2025-08-14T20:54:50.5508890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cci1
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2025-08-14T20:54:50.5511560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cyb83
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2025-08-14T20:54:50.5513470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cbunix
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2025-08-14T20:54:50.5516040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cs10-w
2025-08-14T20:54:50.5516920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60l1
2025-08-14T20:54:50.5517820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cad68-3
2025-08-14T20:54:50.5518680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citc
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2025-08-14T20:54:50.5520620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-w8p
2025-08-14T20:54:50.5521450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-ps
2025-08-14T20:54:50.5522350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-4p
2025-08-14T20:54:50.5523270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-n132
2025-08-14T20:54:50.5524170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel320
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2025-08-14T20:54:50.5539210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-rv-4p
2025-08-14T20:54:50.5540460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/ci8510
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2025-08-14T20:54:50.5542800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-iso-m
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2025-08-14T20:54:50.5548520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101
2025-08-14T20:54:50.5549670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons30-m
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2025-08-14T20:54:50.5558160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cygwinDBG
2025-08-14T20:54:50.5564770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/chromatics
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2025-08-14T20:54:50.5565810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc721
2025-08-14T20:54:50.5566360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cit101e-n
2025-08-14T20:54:50.5567370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cgc3
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2025-08-14T20:54:50.5569810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-8p
2025-08-14T20:54:50.5570710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cs10
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2025-08-14T20:54:50.5575260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh
2025-08-14T20:54:50.5576390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-pica
2025-08-14T20:54:50.5577490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-iso
2025-08-14T20:54:50.5578690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/contel300
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2025-08-14T20:54:50.5582120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-elite
2025-08-14T20:54:50.5583220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cops10
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2025-08-14T20:54:50.5586930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-comp
2025-08-14T20:54:50.5588020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-m
2025-08-14T20:54:50.5589120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/c100-1p
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2025-08-14T20:54:50.5594950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60-iso-m
2025-08-14T20:54:50.5596070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cx
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2025-08-14T20:54:50.5599390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/crt
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2025-08-14T20:54:50.5601760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons43-m
2025-08-14T20:54:50.5602780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/crt-vt220
2025-08-14T20:54:50.5603960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cdc721-esc
2025-08-14T20:54:50.5605030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cygwinB19
2025-08-14T20:54:50.5606050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25l1-m
2025-08-14T20:54:50.5607280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/color_xterm
2025-08-14T20:54:50.5608640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50l1
2025-08-14T20:54:50.5609730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/citoh-prop
2025-08-14T20:54:50.5610910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50-koi8r-m
2025-08-14T20:54:50.5612070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25-koi8-r
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2025-08-14T20:54:50.5616600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/concept108-w-8
2025-08-14T20:54:50.5617730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons60r-m
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2025-08-14T20:54:50.5627350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons50r-m
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2025-08-14T20:54:50.5630730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/63/cons25l1
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2025-08-14T20:54:50.5634180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmdt80
2025-08-14T20:54:50.5635410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-7b-w
2025-08-14T20:54:50.5636490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-7b-w
2025-08-14T20:54:50.5637610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d132
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2025-08-14T20:54:50.5639870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7102-sna
2025-08-14T20:54:50.5640790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/delta
2025-08-14T20:54:50.5641900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-dg
2025-08-14T20:54:50.5642980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7103-sna
2025-08-14T20:54:50.5644210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix
2025-08-14T20:54:50.5645350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7003-dumb
2025-08-14T20:54:50.5646620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-7b
2025-08-14T20:54:50.5647690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmchat
2025-08-14T20:54:50.5648990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x48-m
2025-08-14T20:54:50.5650070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt220
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2025-08-14T20:54:50.5651910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm3025
2025-08-14T20:54:50.5652780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+s
2025-08-14T20:54:50.5653590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw1
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2025-08-14T20:54:50.5655420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+25
2025-08-14T20:54:50.5656340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-w
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2025-08-14T20:54:50.5658180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt330
2025-08-14T20:54:50.5659120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d578-dg
2025-08-14T20:54:50.5659990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datapoint
2025-08-14T20:54:50.5660820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211
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2025-08-14T20:54:50.5662630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+
2025-08-14T20:54:50.5663530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-25
2025-08-14T20:54:50.5664360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80
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2025-08-14T20:54:50.5668050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dialogue80
2025-08-14T20:54:50.5668970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-25
2025-08-14T20:54:50.5669830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dumb
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2025-08-14T20:54:50.5671730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg-generic
2025-08-14T20:54:50.5672670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-unix-25
2025-08-14T20:54:50.5673820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7003
2025-08-14T20:54:50.5674760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-25
2025-08-14T20:54:50.5675740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-112x37-m
2025-08-14T20:54:50.5676630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+25
2025-08-14T20:54:50.5677540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1720
2025-08-14T20:54:50.5678370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470
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2025-08-14T20:54:50.5681090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decpro
2025-08-14T20:54:50.5681940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d210
2025-08-14T20:54:50.5682890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datagraphix
2025-08-14T20:54:50.5683740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216-dg
2025-08-14T20:54:50.5684670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-sr
2025-08-14T20:54:50.5685620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x25-m
2025-08-14T20:54:50.5686510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-7b-w
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2025-08-14T20:54:50.5688370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-sr
2025-08-14T20:54:50.5689350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt340
2025-08-14T20:54:50.5690140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmdt80w
2025-08-14T20:54:50.5691110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dumb-emacs-ansi
2025-08-14T20:54:50.5691940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm80w
2025-08-14T20:54:50.5692840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-dg
2025-08-14T20:54:50.5693740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+11
2025-08-14T20:54:50.5694660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/datamedia2500
2025-08-14T20:54:50.5695510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dtc382
2025-08-14T20:54:50.5696400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-w
2025-08-14T20:54:50.5697310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7102-old
2025-08-14T20:54:50.5698190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-m
2025-08-14T20:54:50.5699110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216-unix
2025-08-14T20:54:50.5699960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-dg
2025-08-14T20:54:50.5700890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-7b-w
2025-08-14T20:54:50.5701820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-s
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2025-08-14T20:54:50.5703650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+color8
2025-08-14T20:54:50.5704520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp
2025-08-14T20:54:50.5705460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-112x37
2025-08-14T20:54:50.5706340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e-dg
2025-08-14T20:54:50.5707270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-25
2025-08-14T20:54:50.5708140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ddr3180
2025-08-14T20:54:50.5709060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+7b
2025-08-14T20:54:50.5709990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-dg
2025-08-14T20:54:50.5710850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-dg-ccc
2025-08-14T20:54:50.5711830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-sr-ccc
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2025-08-14T20:54:50.5714430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+sr
2025-08-14T20:54:50.5715310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-b
2025-08-14T20:54:50.5716300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-sr
2025-08-14T20:54:50.5717530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgmode+color8
2025-08-14T20:54:50.5718740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix
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2025-08-14T20:54:50.5722220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg-ansi
2025-08-14T20:54:50.5723380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+fixed
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2025-08-14T20:54:50.5726970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640
2025-08-14T20:54:50.5728130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x40
2025-08-14T20:54:50.5729270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-dg
2025-08-14T20:54:50.5730500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dataspeed40
2025-08-14T20:54:50.5731530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412+w
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2025-08-14T20:54:50.5735010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dp3360
2025-08-14T20:54:50.5736220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6053-old
2025-08-14T20:54:50.5737270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg210
2025-08-14T20:54:50.5738670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x64-m
2025-08-14T20:54:50.5739930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix-s
2025-08-14T20:54:50.5741230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-128x48
2025-08-14T20:54:50.5742440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x64
2025-08-14T20:54:50.5743580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmterm
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2025-08-14T20:54:50.5747260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decansi
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2025-08-14T20:54:50.5749530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-w
2025-08-14T20:54:50.5750640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+25
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2025-08-14T20:54:50.5753120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d217-unix
2025-08-14T20:54:50.5754300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d578-7b
2025-08-14T20:54:50.5755510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+sr
2025-08-14T20:54:50.5756640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ds40-2
2025-08-14T20:54:50.5757840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg211
2025-08-14T20:54:50.5758850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80w
2025-08-14T20:54:50.5760150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-dg
2025-08-14T20:54:50.5761370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d414-unix-w
2025-08-14T20:54:50.5762530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-w
2025-08-14T20:54:50.5763770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d230c-dg
2025-08-14T20:54:50.5764900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d80
2025-08-14T20:54:50.5766020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw3
2025-08-14T20:54:50.5767260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-90x30
2025-08-14T20:54:50.5768520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt-100
2025-08-14T20:54:50.5769770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+ccc
2025-08-14T20:54:50.5770830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw4
2025-08-14T20:54:50.5771870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dwk-vt
2025-08-14T20:54:50.5773080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-dg
2025-08-14T20:54:50.5774340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-90x30-m
2025-08-14T20:54:50.5775560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgunix+fixed
2025-08-14T20:54:50.5776640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dialogue
2025-08-14T20:54:50.5777800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-dg
2025-08-14T20:54:50.5778970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg450
2025-08-14T20:54:50.5780020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555
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2025-08-14T20:54:50.5782290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm3045
2025-08-14T20:54:50.5783370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm1520
2025-08-14T20:54:50.5784680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/decwriter
2025-08-14T20:54:50.5785830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-100x37
2025-08-14T20:54:50.5787010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x30
2025-08-14T20:54:50.5788040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-w
2025-08-14T20:54:50.5789280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm2500
2025-08-14T20:54:50.5790530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix
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2025-08-14T20:54:50.5792890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+
2025-08-14T20:54:50.5794060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470c-7b
2025-08-14T20:54:50.5795430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1620-m8
2025-08-14T20:54:50.5796670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt80-sas
2025-08-14T20:54:50.5797890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+w
2025-08-14T20:54:50.5799170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d450-dg
2025-08-14T20:54:50.5800300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-sr
2025-08-14T20:54:50.5801540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-200x75
2025-08-14T20:54:50.5802680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-256x96
2025-08-14T20:54:50.5803760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw2
2025-08-14T20:54:50.5804900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg605x
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2025-08-14T20:54:50.5807330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgmode+color
2025-08-14T20:54:50.5808540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d2-dg
2025-08-14T20:54:50.5809690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-dg
2025-08-14T20:54:50.5810810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dmd1
2025-08-14T20:54:50.5811870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm1521
2025-08-14T20:54:50.5813130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-unix-25-ccc
2025-08-14T20:54:50.5814300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dwk
2025-08-14T20:54:50.5815390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6053
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2025-08-14T20:54:50.5817870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo
2025-08-14T20:54:50.5818940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211-7b
2025-08-14T20:54:50.5820150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg200
2025-08-14T20:54:50.5821290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg+color
2025-08-14T20:54:50.5822510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-25
2025-08-14T20:54:50.5823660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dtterm
2025-08-14T20:54:50.5824850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-160x64
2025-08-14T20:54:50.5825970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dvtm-256color
2025-08-14T20:54:50.5827180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dp8242
2025-08-14T20:54:50.5828340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d400-dg
2025-08-14T20:54:50.5829520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410
2025-08-14T20:54:50.5830740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-sr
2025-08-14T20:54:50.5831960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1740
2025-08-14T20:54:50.5833360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-100x37-m
2025-08-14T20:54:50.5834560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d412-unix-s
2025-08-14T20:54:50.5835820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d410-dg
2025-08-14T20:54:50.5836840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216+dg
2025-08-14T20:54:50.5837700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d215
2025-08-14T20:54:50.5838740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-25
2025-08-14T20:54:50.5839560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt100
2025-08-14T20:54:50.5840470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d464-unix
2025-08-14T20:54:50.5841320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec+pp
2025-08-14T20:54:50.5842270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix-s
2025-08-14T20:54:50.5843140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411
2025-08-14T20:54:50.5844050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix
2025-08-14T20:54:50.5844990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640-m8
2025-08-14T20:54:50.5845820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d2
2025-08-14T20:54:50.5846690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e+
2025-08-14T20:54:50.5847510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dw
2025-08-14T20:54:50.5848420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d461-dg
2025-08-14T20:54:50.5849260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dvtm
2025-08-14T20:54:50.5850160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430-dg
2025-08-14T20:54:50.5851060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec+sl
2025-08-14T20:54:50.5851980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dku7202
2025-08-14T20:54:50.5852960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-256x96-m
2025-08-14T20:54:50.5853820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d555-w
2025-08-14T20:54:50.5854680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-w
2025-08-14T20:54:50.5855650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d413-unix-w
2025-08-14T20:54:50.5856600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462-unix-w
2025-08-14T20:54:50.5857510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgunix+ccc
2025-08-14T20:54:50.5858430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d220-7b
2025-08-14T20:54:50.5859750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dec-vt100
2025-08-14T20:54:50.5860830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d214
2025-08-14T20:54:50.5862040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo630
2025-08-14T20:54:50.5863190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d463-unix
2025-08-14T20:54:50.5864320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d800
2025-08-14T20:54:50.5865530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dt100w
2025-08-14T20:54:50.5866670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d216e+dg
2025-08-14T20:54:50.5867740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460
2025-08-14T20:54:50.5868870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1730
2025-08-14T20:54:50.5869980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d200
2025-08-14T20:54:50.5871100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/ddr
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2025-08-14T20:54:50.5873560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-w
2025-08-14T20:54:50.5874750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-f2
2025-08-14T20:54:50.5875890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin
2025-08-14T20:54:50.5877040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d470c-dg
2025-08-14T20:54:50.5878130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d462+dg
2025-08-14T20:54:50.5879180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp203
2025-08-14T20:54:50.5880360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/djgpp204
2025-08-14T20:54:50.5881590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d211-dg
2025-08-14T20:54:50.5882670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg6134
2025-08-14T20:54:50.5883790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d411-7b
2025-08-14T20:54:50.5885020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dm80
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2025-08-14T20:54:50.5887430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d430c-unix-w-ccc
2025-08-14T20:54:50.5888680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dgkeys+15
2025-08-14T20:54:50.5889800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d577-7b-w
2025-08-14T20:54:50.5890880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d450
2025-08-14T20:54:50.5892090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-f
2025-08-14T20:54:50.5893470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/darwin-80x30-m
2025-08-14T20:54:50.5894900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/d460-7b
2025-08-14T20:54:50.5896060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/dg100
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2025-08-14T20:54:50.5898520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/64/diablo1640-lm
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2025-08-14T20:54:50.6034540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt-w
2025-08-14T20:54:50.6035440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-316X
2025-08-14T20:54:50.6036310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160
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2025-08-14T20:54:50.6039020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-36w
2025-08-14T20:54:50.6039950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-43w-vb
2025-08-14T20:54:50.6040850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy-99fgt
2025-08-14T20:54:50.6041810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-wvb
2025-08-14T20:54:50.6042720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-vb
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2025-08-14T20:54:50.6046230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-PC
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2025-08-14T20:54:50.6048030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-vb
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2025-08-14T20:54:50.6060600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse-75ap
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2025-08-14T20:54:50.6073980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-w
2025-08-14T20:54:50.6075310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-42
2025-08-14T20:54:50.6076370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350-vb
2025-08-14T20:54:50.6077590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-w
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2025-08-14T20:54:50.6083580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-w-vb
2025-08-14T20:54:50.6084720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-48pc
2025-08-14T20:54:50.6086010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99gt-tek
2025-08-14T20:54:50.6087270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-42-w
2025-08-14T20:54:50.6088400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy99-ansi
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2025-08-14T20:54:50.6094550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy185-wvb
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2025-08-14T20:54:50.6096880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-PC
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2025-08-14T20:54:50.6100420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-105k
2025-08-14T20:54:50.6101530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-24
2025-08-14T20:54:50.6102940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse160-43
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2025-08-14T20:54:50.6106700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150
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2025-08-14T20:54:50.6109170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-25-w
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2025-08-14T20:54:50.6114990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-43
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2025-08-14T20:54:50.6125490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-36wpc
2025-08-14T20:54:50.6126710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-25-w
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2025-08-14T20:54:50.6134180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy50-w
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2025-08-14T20:54:50.6136510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-p-wvb
2025-08-14T20:54:50.6137680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse185-24
2025-08-14T20:54:50.6138870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy120-25-w
2025-08-14T20:54:50.6139980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-wvb
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2025-08-14T20:54:50.6142080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-vb
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2025-08-14T20:54:50.6147740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse520-48wpc
2025-08-14T20:54:50.6148740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse120-w
2025-08-14T20:54:50.6149890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-epc-w
2025-08-14T20:54:50.6150970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy150-w
2025-08-14T20:54:50.6152040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-mc
2025-08-14T20:54:50.6153220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse99gt
2025-08-14T20:54:50.6154370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse50-wvb
2025-08-14T20:54:50.6155410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse325-25
2025-08-14T20:54:50.6156540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370
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2025-08-14T20:54:50.6158760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-tek
2025-08-14T20:54:50.6159940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse60-AT
2025-08-14T20:54:50.6161080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy520-wvb
2025-08-14T20:54:50.6162250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse85-wvb
2025-08-14T20:54:50.6163320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse150-25-w
2025-08-14T20:54:50.6164390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-vb
2025-08-14T20:54:50.6165460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy350-w
2025-08-14T20:54:50.6166720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy60-42-w
2025-08-14T20:54:50.6167790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy85-8bit
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2025-08-14T20:54:50.6187380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse+sl
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2025-08-14T20:54:50.6197480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy160-tek
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2025-08-14T20:54:50.6199530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wyse75-mc
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2025-08-14T20:54:50.6201850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy325-25
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2025-08-14T20:54:50.6209990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/77/wy370-EPC
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2025-08-14T20:54:50.6212170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25
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2025-08-14T20:54:50.6214360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt210
2025-08-14T20:54:50.6215560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3-bold
2025-08-14T20:54:50.6216620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p4
2025-08-14T20:54:50.6217730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14-m
2025-08-14T20:54:50.6218790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9-w
2025-08-14T20:54:50.6219970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-43-m
2025-08-14T20:54:50.6221240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+keypad
2025-08-14T20:54:50.6222180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt40
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2025-08-14T20:54:50.6228490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pmconsole
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2025-08-14T20:54:50.6231950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p19
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2025-08-14T20:54:50.6233680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-8-w
2025-08-14T20:54:50.6234600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc6300plus
2025-08-14T20:54:50.6235560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-96x48
2025-08-14T20:54:50.6236450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcconsole
2025-08-14T20:54:50.6237290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pro350
2025-08-14T20:54:50.6238230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit12
2025-08-14T20:54:50.6239240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi25
2025-08-14T20:54:50.6240430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-8
2025-08-14T20:54:50.6241650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+xterm
2025-08-14T20:54:50.6242810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc-venix
2025-08-14T20:54:50.6244030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-basic
2025-08-14T20:54:50.6245140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit
2025-08-14T20:54:50.6246320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+sgr+acs0
2025-08-14T20:54:50.6247440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-43
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2025-08-14T20:54:50.6251780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism7
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2025-08-14T20:54:50.6253930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9
2025-08-14T20:54:50.6255170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pckermit120
2025-08-14T20:54:50.6256410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt50w
2025-08-14T20:54:50.6257480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8
2025-08-14T20:54:50.6258580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-fast
2025-08-14T20:54:50.6259650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/printer
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2025-08-14T20:54:50.6262890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt35w
2025-08-14T20:54:50.6264120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+vt400
2025-08-14T20:54:50.6265310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-25-m
2025-08-14T20:54:50.6266510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14-m-w
2025-08-14T20:54:50.6267580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8-w
2025-08-14T20:54:50.6268810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-m
2025-08-14T20:54:50.6269830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8gl
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2025-08-14T20:54:50.6272410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m1
2025-08-14T20:54:50.6273620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys
2025-08-14T20:54:50.6274730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-256color
2025-08-14T20:54:50.6275930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-90x28
2025-08-14T20:54:50.6277120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-mono
2025-08-14T20:54:50.6278040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt250
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2025-08-14T20:54:50.6280330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-m-w
2025-08-14T20:54:50.6281430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcz19
2025-08-14T20:54:50.6282640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism9-8
2025-08-14T20:54:50.6283760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm
2025-08-14T20:54:50.6285100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+vt100
2025-08-14T20:54:50.6286150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-m
2025-08-14T20:54:50.6287020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p7
2025-08-14T20:54:50.6288210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt43
2025-08-14T20:54:50.6289170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9
2025-08-14T20:54:50.6290310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-w
2025-08-14T20:54:50.6291510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt40w
2025-08-14T20:54:50.6292700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt28
2025-08-14T20:54:50.6293860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe1100
2025-08-14T20:54:50.6295070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc-coherent
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2025-08-14T20:54:50.6297240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p8
2025-08-14T20:54:50.6298450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-m-w
2025-08-14T20:54:50.6299610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3
2025-08-14T20:54:50.6300660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcmw
2025-08-14T20:54:50.6301780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt43w
2025-08-14T20:54:50.6302870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12-m
2025-08-14T20:54:50.6303880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12-w
2025-08-14T20:54:50.6305070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3r-m
2025-08-14T20:54:50.6306190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25w
2025-08-14T20:54:50.6307320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe6312
2025-08-14T20:54:50.6308470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-sco
2025-08-14T20:54:50.6309640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+esc
2025-08-14T20:54:50.6310670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p9-w
2025-08-14T20:54:50.6311820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc3r
2025-08-14T20:54:50.6312920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism12
2025-08-14T20:54:50.6314050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe7000m
2025-08-14T20:54:50.6315300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m1b
2025-08-14T20:54:50.6316240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi
2025-08-14T20:54:50.6317350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe7000c
2025-08-14T20:54:50.6318560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt25-color
2025-08-14T20:54:50.6325420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi43
2025-08-14T20:54:50.6325890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14
2025-08-14T20:54:50.6326340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p14-m-w
2025-08-14T20:54:50.6326810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism14
2025-08-14T20:54:50.6327380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-noapp
2025-08-14T20:54:50.6327860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pilot
2025-08-14T20:54:50.6328300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/p12
2025-08-14T20:54:50.6328760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+colors
2025-08-14T20:54:50.6329270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+linux
2025-08-14T20:54:50.6329780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi25m
2025-08-14T20:54:50.6330270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psx_ansi
2025-08-14T20:54:50.6331230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-25
2025-08-14T20:54:50.6332260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt100
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2025-08-14T20:54:50.6336570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8gl
2025-08-14T20:54:50.6337550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi33
2025-08-14T20:54:50.6338560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism4
2025-08-14T20:54:50.6339690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt505-24
2025-08-14T20:54:50.6340710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism8-w
2025-08-14T20:54:50.6341800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcplot
2025-08-14T20:54:50.6342990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+fnkeys+sco
2025-08-14T20:54:50.6344620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-screen
2025-08-14T20:54:50.6345660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+keys
2025-08-14T20:54:50.6346820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism5
2025-08-14T20:54:50.6347880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt505-22
2025-08-14T20:54:50.6348850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/prism2
2025-08-14T20:54:50.6349900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty-m2
2025-08-14T20:54:50.6350960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pc7300
2025-08-14T20:54:50.6351890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/psterm-80x24
2025-08-14T20:54:50.6353060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon+base
2025-08-14T20:54:50.6354150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi33m
2025-08-14T20:54:50.6355260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon-m
2025-08-14T20:54:50.6356290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt100w
2025-08-14T20:54:50.6357360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pe6300
2025-08-14T20:54:50.6358520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pt200
2025-08-14T20:54:50.6359620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt35
2025-08-14T20:54:50.6360670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt28w
2025-08-14T20:54:50.6361680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pmcons
2025-08-14T20:54:50.6362800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcix
2025-08-14T20:54:50.6363830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pccon0-m
2025-08-14T20:54:50.6365000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcvt50
2025-08-14T20:54:50.6366150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/pcansi-33-m
2025-08-14T20:54:50.6367250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/70/putty+screen
2025-08-14T20:54:50.6368250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qdcons
2025-08-14T20:54:50.6369360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203
2025-08-14T20:54:50.6370430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p-25
2025-08-14T20:54:50.6371610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-25-w
2025-08-14T20:54:50.6372660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p-25-w
2025-08-14T20:54:50.6373820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt
2025-08-14T20:54:50.6375110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-25
2025-08-14T20:54:50.6376210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119
2025-08-14T20:54:50.6377230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnx
2025-08-14T20:54:50.6378290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt4
2025-08-14T20:54:50.6379340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt103
2025-08-14T20:54:50.6380530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119-w
2025-08-14T20:54:50.6381640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119p
2025-08-14T20:54:50.6382750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-g
2025-08-14T20:54:50.6383870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-25-w
2025-08-14T20:54:50.6384950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-w
2025-08-14T20:54:50.6386080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt102
2025-08-14T20:54:50.6388060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-t
2025-08-14T20:54:50.6388780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxt2
2025-08-14T20:54:50.6389400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-w
2025-08-14T20:54:50.6390550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101p
2025-08-14T20:54:50.6391660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxtmono
2025-08-14T20:54:50.6392700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt103-w
2025-08-14T20:54:50.6393690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+-25
2025-08-14T20:54:50.6394670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qume
2025-08-14T20:54:50.6395850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203-w-am
2025-08-14T20:54:50.6396930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxw
2025-08-14T20:54:50.6397930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnx4
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2025-08-14T20:54:50.6400110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qnxm
2025-08-14T20:54:50.6401260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-m
2025-08-14T20:54:50.6402330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qdss
2025-08-14T20:54:50.6403390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi-w
2025-08-14T20:54:50.6404400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101
2025-08-14T20:54:50.6405400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119+
2025-08-14T20:54:50.6406550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt108
2025-08-14T20:54:50.6407470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qume5
2025-08-14T20:54:50.6408530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qansi
2025-08-14T20:54:50.6409540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt101+
2025-08-14T20:54:50.6410600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt203+
2025-08-14T20:54:50.6411670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/71/qvt119-25-w
2025-08-14T20:54:50.6412670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt61
2025-08-14T20:54:50.6413640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt330
2025-08-14T20:54:50.6414520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102
2025-08-14T20:54:50.6415360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt50
2025-08-14T20:54:50.6416210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp60
2025-08-14T20:54:50.6417140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-putty
2025-08-14T20:54:50.6418030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-8
2025-08-14T20:54:50.6418980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nav-w
2025-08-14T20:54:50.6419820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300
2025-08-14T20:54:50.6420810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt132
2025-08-14T20:54:50.6421570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc403a
2025-08-14T20:54:50.6422590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+pcedit
2025-08-14T20:54:50.6423390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s
2025-08-14T20:54:50.6424230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip
2025-08-14T20:54:50.6425150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-direct
2025-08-14T20:54:50.6426090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint90
2025-08-14T20:54:50.6427030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte+pcfkeys
2025-08-14T20:54:50.6427910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-nam
2025-08-14T20:54:50.6428760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vitty
2025-08-14T20:54:50.6429700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102-w
2025-08-14T20:54:50.6430620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/versaterm
2025-08-14T20:54:50.6431480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/visa50
2025-08-14T20:54:50.6432330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp3a+
2025-08-14T20:54:50.6433300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata
2025-08-14T20:54:50.6434190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2014
2025-08-14T20:54:50.6435060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi550
2025-08-14T20:54:50.6436000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102-nsgr
2025-08-14T20:54:50.6436880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-old
2025-08-14T20:54:50.6437750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt-61
2025-08-14T20:54:50.6438690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-k311
2025-08-14T20:54:50.6439590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+
2025-08-14T20:54:50.6440500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+keypad
2025-08-14T20:54:50.6441360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vtnt
2025-08-14T20:54:50.6442290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+4bsd
2025-08-14T20:54:50.6443210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata-o
2025-08-14T20:54:50.6444060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt61.5
2025-08-14T20:54:50.6444940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510pc
2025-08-14T20:54:50.6445800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc203
2025-08-14T20:54:50.6446720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v200-nam
2025-08-14T20:54:50.6447580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220
2025-08-14T20:54:50.6448480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-k3
2025-08-14T20:54:50.6449440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100nam
2025-08-14T20:54:50.6450440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2012
2025-08-14T20:54:50.6451280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi300
2025-08-14T20:54:50.6452190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vapple
2025-08-14T20:54:50.6453100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-H
2025-08-14T20:54:50.6453950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2008
2025-08-14T20:54:50.6454810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc415
2025-08-14T20:54:50.6455670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt400
2025-08-14T20:54:50.6456610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-vb
2025-08-14T20:54:50.6457560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+vtedit
2025-08-14T20:54:50.6458460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-nam
2025-08-14T20:54:50.6459340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v320n
2025-08-14T20:54:50.6460250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vv100
2025-08-14T20:54:50.6461140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+enq
2025-08-14T20:54:50.6462010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-w
2025-08-14T20:54:50.6462950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt102+enq
2025-08-14T20:54:50.6464010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2007
2025-08-14T20:54:50.6465280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s-top
2025-08-14T20:54:50.6466240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc414
2025-08-14T20:54:50.6467200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-w
2025-08-14T20:54:50.6468270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52-basic
2025-08-14T20:54:50.6469300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vk100
2025-08-14T20:54:50.6470480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-8bit
2025-08-14T20:54:50.6471610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt520
2025-08-14T20:54:50.6472480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt340
2025-08-14T20:54:50.6473520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vs100-x10
2025-08-14T20:54:50.6474560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nam-w
2025-08-14T20:54:50.6475620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi55
2025-08-14T20:54:50.6476630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi603
2025-08-14T20:54:50.6477590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vwmterm
2025-08-14T20:54:50.6478740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420pcdos
2025-08-14T20:54:50.6479680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-js
2025-08-14T20:54:50.6480810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vs100
2025-08-14T20:54:50.6481890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt520ansi
2025-08-14T20:54:50.6482860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510
2025-08-14T20:54:50.6483970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-js
2025-08-14T20:54:50.6485090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-256color
2025-08-14T20:54:50.6486240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-w
2025-08-14T20:54:50.6487160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+cvis
2025-08-14T20:54:50.6488060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc103
2025-08-14T20:54:50.6489110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-8bit
2025-08-14T20:54:50.6490180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi300-old
2025-08-14T20:54:50.6491190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200-w
2025-08-14T20:54:50.6492190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vp90
2025-08-14T20:54:50.6493230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+fnkeys
2025-08-14T20:54:50.6494270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200-f
2025-08-14T20:54:50.6495260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420f
2025-08-14T20:54:50.6496230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt400-24
2025-08-14T20:54:50.6497240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-w
2025-08-14T20:54:50.6498380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/visual603
2025-08-14T20:54:50.6499400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w
2025-08-14T20:54:50.6500540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint60
2025-08-14T20:54:50.6501460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52
2025-08-14T20:54:50.6502380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt131
2025-08-14T20:54:50.6503540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt50h
2025-08-14T20:54:50.6504600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100
2025-08-14T20:54:50.6505520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/venix
2025-08-14T20:54:50.6506590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2017
2025-08-14T20:54:50.6507610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-Hw
2025-08-14T20:54:50.6508540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc404
2025-08-14T20:54:50.6509520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420
2025-08-14T20:54:50.6510650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-nav
2025-08-14T20:54:50.6511690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte
2025-08-14T20:54:50.6512700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v3220
2025-08-14T20:54:50.6513780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bot-s
2025-08-14T20:54:50.6514960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-nam
2025-08-14T20:54:50.6515880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi500
2025-08-14T20:54:50.6517020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc414h
2025-08-14T20:54:50.6518240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt52+keypad
2025-08-14T20:54:50.6519230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vte-2018
2025-08-14T20:54:50.6520290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420+lrmm
2025-08-14T20:54:50.6521480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+pfkeys
2025-08-14T20:54:50.6522500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt510pcdos
2025-08-14T20:54:50.6523620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vremote
2025-08-14T20:54:50.6524780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-top-s
2025-08-14T20:54:50.6525830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewdata-rv
2025-08-14T20:54:50.6526770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-w
2025-08-14T20:54:50.6528020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nav
2025-08-14T20:54:50.6529110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-base
2025-08-14T20:54:50.6530360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-w-nam
2025-08-14T20:54:50.6531440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint3a+
2025-08-14T20:54:50.6532470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-nam
2025-08-14T20:54:50.6533610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bm-o
2025-08-14T20:54:50.6534570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi50adm
2025-08-14T20:54:50.6535580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt300-nam
2025-08-14T20:54:50.6536510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt200
2025-08-14T20:54:50.6537590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220d
2025-08-14T20:54:50.6538570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vsc
2025-08-14T20:54:50.6539630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt420pc
2025-08-14T20:54:50.6540620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-8
2025-08-14T20:54:50.6541770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vanilla
2025-08-14T20:54:50.6542940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vscode
2025-08-14T20:54:50.6543860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt125
2025-08-14T20:54:50.6544870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip-Hw
2025-08-14T20:54:50.6545970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220-old
2025-08-14T20:54:50.6547070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/v5410
2025-08-14T20:54:50.6548200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100+keypad
2025-08-14T20:54:50.6549110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc303a
2025-08-14T20:54:50.6550180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-am
2025-08-14T20:54:50.6551440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-s-bot
2025-08-14T20:54:50.6552400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320nam
2025-08-14T20:54:50.6553830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-w-am
2025-08-14T20:54:50.6554920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320
2025-08-14T20:54:50.6556140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc303
2025-08-14T20:54:50.6557210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi50
2025-08-14T20:54:50.6558390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vip7800-H
2025-08-14T20:54:50.6559280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/viewpoint
2025-08-14T20:54:50.6560330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vc404-s
2025-08-14T20:54:50.6561540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt220+cvis8
2025-08-14T20:54:50.6562500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt-utf8
2025-08-14T20:54:50.6563530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200
2025-08-14T20:54:50.6564740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt100-bm
2025-08-14T20:54:50.6566080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vscode-direct
2025-08-14T20:54:50.6567050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt525
2025-08-14T20:54:50.6568290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vi200-rv
2025-08-14T20:54:50.6569500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/76/vt320-w-nam
2025-08-14T20:54:50.6570750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-256color
2025-08-14T20:54:50.6572090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+r6f2
2025-08-14T20:54:50.6573000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-112x37
2025-08-14T20:54:50.6574150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+200x64
2025-08-14T20:54:50.6575290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x10mouse
2025-08-14T20:54:50.6576440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+128x48
2025-08-14T20:54:50.6577650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+osc104
2025-08-14T20:54:50.6578950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x64-m
2025-08-14T20:54:50.6580150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-color
2025-08-14T20:54:50.6581170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-16color
2025-08-14T20:54:50.6582300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v40
2025-08-14T20:54:50.6583420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+128x40
2025-08-14T20:54:50.6584520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m-b
2025-08-14T20:54:50.6585930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct256
2025-08-14T20:54:50.6587100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct2
2025-08-14T20:54:50.6588190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xgterm
2025-08-14T20:54:50.6589470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+88color
2025-08-14T20:54:50.6590600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+c
2025-08-14T20:54:50.6591780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pce2
2025-08-14T20:54:50.6592900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-200x64
2025-08-14T20:54:50.6593870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x48
2025-08-14T20:54:50.6594750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+app
2025-08-14T20:54:50.6595740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-8bit
2025-08-14T20:54:50.6596540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox820
2025-08-14T20:54:50.6597400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1750
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2025-08-14T20:54:50.6599190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtermm
2025-08-14T20:54:50.6600100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xi
2025-08-14T20:54:50.6601020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc0
2025-08-14T20:54:50.6601900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-f
2025-08-14T20:54:50.6602950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-x11hilite
2025-08-14T20:54:50.6603730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtermc
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2025-08-14T20:54:50.6605580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcf2
2025-08-14T20:54:50.6606510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+keypad
2025-08-14T20:54:50.6607360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm
2025-08-14T20:54:50.6608290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x40
2025-08-14T20:54:50.6609230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+noapp
2025-08-14T20:54:50.6610100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+b
2025-08-14T20:54:50.6611030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-basic
2025-08-14T20:54:50.6611920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+meta
2025-08-14T20:54:50.6612880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x11mouse
2025-08-14T20:54:50.6613880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-f2
2025-08-14T20:54:50.6614750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x820
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2025-08-14T20:54:50.6616440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-r6
2025-08-14T20:54:50.6617290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1720
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2025-08-14T20:54:50.6619120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-88color
2025-08-14T20:54:50.6620090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+tmux2
2025-08-14T20:54:50.6621190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-144x48-m
2025-08-14T20:54:50.6622020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct2
2025-08-14T20:54:50.6622910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-utf8
2025-08-14T20:54:50.6623870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+x11hilite
2025-08-14T20:54:50.6624830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct16
2025-08-14T20:54:50.6625680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xdku
2025-08-14T20:54:50.6626520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x68k-ite
2025-08-14T20:54:50.6627490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+alt+title
2025-08-14T20:54:50.6628580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-112x37-m
2025-08-14T20:54:50.6629370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+direct
2025-08-14T20:54:50.6630310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v333
2025-08-14T20:54:50.6631270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xfree86
2025-08-14T20:54:50.6632180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-vt220
2025-08-14T20:54:50.6633120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+acs
2025-08-14T20:54:50.6633950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-hp
2025-08-14T20:54:50.6634850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-new
2025-08-14T20:54:50.6635800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-noapp
2025-08-14T20:54:50.6636740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pc+edit
2025-08-14T20:54:50.6637630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1003
2025-08-14T20:54:50.6638540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterms-sun
2025-08-14T20:54:50.6639470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sl-twm
2025-08-14T20:54:50.6640410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc+basic
2025-08-14T20:54:50.6641330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1003
2025-08-14T20:54:50.6642280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-pcolor
2025-08-14T20:54:50.6643140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xenix
2025-08-14T20:54:50.6644090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct256
2025-08-14T20:54:50.6644960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc
2025-08-14T20:54:50.6645920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1002
2025-08-14T20:54:50.6646860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+focus
2025-08-14T20:54:50.6647810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sm+1005
2025-08-14T20:54:50.6648720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1005
2025-08-14T20:54:50.6649910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-128x48-m
2025-08-14T20:54:50.6650560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xerox-lm
2025-08-14T20:54:50.6651530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+nopcfkeys
2025-08-14T20:54:50.6652430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-direct
2025-08-14T20:54:50.6653370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-1002
2025-08-14T20:54:50.6654250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-sco
2025-08-14T20:54:50.6655430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-144x48
2025-08-14T20:54:50.6656120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-p371
2025-08-14T20:54:50.6657090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+256setaf
2025-08-14T20:54:50.6658030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-160x64-m
2025-08-14T20:54:50.6658980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+vt+edit
2025-08-14T20:54:50.6659890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+kbs
2025-08-14T20:54:50.6660840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-80x30
2025-08-14T20:54:50.6662150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-90x30-m
2025-08-14T20:54:50.6662810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-x11mouse
2025-08-14T20:54:50.6663590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xwsh
2025-08-14T20:54:50.6664470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xtalk
2025-08-14T20:54:50.6665420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v43
2025-08-14T20:54:50.6666380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-xf86-v44
2025-08-14T20:54:50.6667300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-p370
2025-08-14T20:54:50.6668200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-m-f
2025-08-14T20:54:50.6669120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xnuppc-90x30
2025-08-14T20:54:50.6669960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xl83
2025-08-14T20:54:50.6670830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xfce
2025-08-14T20:54:50.6671750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+pcc3
2025-08-14T20:54:50.6672590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/x1700
2025-08-14T20:54:50.6673470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm-24
2025-08-14T20:54:50.6674410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.4-h313beb8_0/share/terminfo/78/xterm+sl-alt
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2025-08-14T20:54:50.7212090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/py.typed
2025-08-14T20:54:50.7213380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/exceptions.py
2025-08-14T20:54:50.7214680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography/fernet.py
2025-08-14T20:54:50.7216060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/RECORD
2025-08-14T20:54:50.7217580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE
2025-08-14T20:54:50.7219110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE.APACHE
2025-08-14T20:54:50.7220550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/licenses/LICENSE.BSD
2025-08-14T20:54:50.7222070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/direct_url.json
2025-08-14T20:54:50.7223400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/WHEEL
2025-08-14T20:54:50.7224830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/REQUESTED
2025-08-14T20:54:50.7226230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/INSTALLER
2025-08-14T20:54:50.7227650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cryptography-45.0.3-py313h47897c2_0/lib/python3.13/site-packages/cryptography-45.0.3.dist-info/METADATA
2025-08-14T20:54:50.7228300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/bin/mamba-package
2025-08-14T20:54:50.7229350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/activation.hpp
2025-08-14T20:54:50.7230440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/environments_manager.hpp
2025-08-14T20:54:50.7231410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/transaction.hpp
2025-08-14T20:54:50.7232470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_handling.hpp
2025-08-14T20:54:50.7233390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/invoke.hpp
2025-08-14T20:54:50.7234370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/prefix_data.hpp
2025-08-14T20:54:50.7235370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/common_types.hpp
2025-08-14T20:54:50.7236310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/palette.hpp
2025-08-14T20:54:50.7237240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/link.hpp
2025-08-14T20:54:50.7238260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/error_handling.hpp
2025-08-14T20:54:50.7239320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/repo_checker_store.hpp
2025-08-14T20:54:50.7240360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_fetcher.hpp
2025-08-14T20:54:50.7241400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/execution.hpp
2025-08-14T20:54:50.7242330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/subdirdata.hpp
2025-08-14T20:54:50.7243320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/shell_init.hpp
2025-08-14T20:54:50.7244250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/fsutil.hpp
2025-08-14T20:54:50.7245390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/channel_context.hpp
2025-08-14T20:54:50.7246310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/env_lockfile.hpp
2025-08-14T20:54:50.7247290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util_scope.hpp
2025-08-14T20:54:50.7248570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/transaction_context.hpp
2025-08-14T20:54:50.7249490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/download_progress_bar.hpp
2025-08-14T20:54:50.7250440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/context.hpp
2025-08-14T20:54:50.7251400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/timeref.hpp
2025-08-14T20:54:50.7252350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util_os.hpp
2025-08-14T20:54:50.7253360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/tasksync.hpp
2025-08-14T20:54:50.7254270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/history.hpp
2025-08-14T20:54:50.7255280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/progress_bar.hpp
2025-08-14T20:54:50.7256170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/run.hpp
2025-08-14T20:54:50.7257250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_paths.hpp
2025-08-14T20:54:50.7258400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_database_loader.hpp
2025-08-14T20:54:50.7259420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/virtual_packages.hpp
2025-08-14T20:54:50.7260420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/thread_utils.hpp
2025-08-14T20:54:50.7261340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/output.hpp
2025-08-14T20:54:50.7262390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/package_cache.hpp
2025-08-14T20:54:50.7263310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/pinning.hpp
2025-08-14T20:54:50.7264220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/query.hpp
2025-08-14T20:54:50.7265150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/util.hpp
2025-08-14T20:54:50.7266410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/core/menuinst.hpp
2025-08-14T20:54:50.7267090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cast.hpp
2025-08-14T20:54:50.7268030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_unix.hpp
2025-08-14T20:54:50.7269040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cryptography.hpp
2025-08-14T20:54:50.7269950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/build.hpp
2025-08-14T20:54:50.7270870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/json.hpp
2025-08-14T20:54:50.7271810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_osx.hpp
2025-08-14T20:54:50.7272970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/weakening_map.hpp
2025-08-14T20:54:50.7273830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/path_manip.hpp
2025-08-14T20:54:50.7274900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_binary_tree.hpp
2025-08-14T20:54:50.7275960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/variant_cmp.hpp
2025-08-14T20:54:50.7276860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/encoding.hpp
2025-08-14T20:54:50.7277860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/functional.hpp
2025-08-14T20:54:50.7278940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_bool_expr_tree.hpp
2025-08-14T20:54:50.7279960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/type_traits.hpp
2025-08-14T20:54:50.7280860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/random.hpp
2025-08-14T20:54:50.7281850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_linux.hpp
2025-08-14T20:54:50.7282860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/heap_optional.hpp
2025-08-14T20:54:50.7283820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/graph.hpp
2025-08-14T20:54:50.7284840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/loop_control.hpp
2025-08-14T20:54:50.7285820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/url.hpp
2025-08-14T20:54:50.7286760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os_win.hpp
2025-08-14T20:54:50.7287740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/url_manip.hpp
2025-08-14T20:54:50.7288680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/string.hpp
2025-08-14T20:54:50.7289710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/deprecation.hpp
2025-08-14T20:54:50.7290660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/parsers.hpp
2025-08-14T20:54:50.7291610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/cfile.hpp
2025-08-14T20:54:50.7292520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/os.hpp
2025-08-14T20:54:50.7293810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/conditional.hpp
2025-08-14T20:54:50.7294780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/flat_set.hpp
2025-08-14T20:54:50.7295790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/compare.hpp
2025-08-14T20:54:50.7296790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/iterator.hpp
2025-08-14T20:54:50.7297750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/environment.hpp
2025-08-14T20:54:50.7298720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/util/tuple_hash.hpp
2025-08-14T20:54:50.7299700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/archive.hpp
2025-08-14T20:54:50.7300720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/package_info.hpp
2025-08-14T20:54:50.7301690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/match_spec.hpp
2025-08-14T20:54:50.7302670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/glob_spec.hpp
2025-08-14T20:54:50.7303690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/repo_data.hpp
2025-08-14T20:54:50.7304670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/regex_spec.hpp
2025-08-14T20:54:50.7305770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/chimera_string_spec.hpp
2025-08-14T20:54:50.7306720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/platform.hpp
2025-08-14T20:54:50.7307740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/error.hpp
2025-08-14T20:54:50.7308630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/version.hpp
2025-08-14T20:54:50.7309590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/channel.hpp
2025-08-14T20:54:50.7310620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/conda_url.hpp
2025-08-14T20:54:50.7311670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/unresolved_channel.hpp
2025-08-14T20:54:50.7312730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/build_number_spec.hpp
2025-08-14T20:54:50.7313790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/authentication_info.hpp
2025-08-14T20:54:50.7314840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/specs/version_spec.hpp
2025-08-14T20:54:50.7315760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/request.hpp
2025-08-14T20:54:50.7316720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/solution.hpp
2025-08-14T20:54:50.7317770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/problems_graph.hpp
2025-08-14T20:54:50.7318820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/libsolv/solver.hpp
2025-08-14T20:54:50.7319880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/libsolv/unsolvable.hpp
2025-08-14T20:54:50.7320940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/libsolv/database.hpp
2025-08-14T20:54:50.7322050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/libsolv/parameters.hpp
2025-08-14T20:54:50.7323080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/solver/libsolv/repo_info.hpp
2025-08-14T20:54:50.7323940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/version.hpp
2025-08-14T20:54:50.7324980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/download/mirror_map.hpp
2025-08-14T20:54:50.7326010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/download/downloader.hpp
2025-08-14T20:54:50.7327050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/download/mirror.hpp
2025-08-14T20:54:50.7328240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/download/request.hpp
2025-08-14T20:54:50.7328920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libmamba-2.0.5-h15e39b3_1/include/mamba/api/update.hpp
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2025-08-14T20:54:50.9201390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_model_construction.py
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2025-08-14T20:54:50.9240440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/fields.py
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2025-08-14T20:54:51.1669270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FLTKCompatibility.cmake
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2025-08-14T20:54:51.1689370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindSelfPackers.cmake
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2025-08-14T20:54:51.1692540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindosgAnimation.cmake
2025-08-14T20:54:51.1693580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/ExternalData.cmake
2025-08-14T20:54:51.1694690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/BundleUtilities.cmake
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2025-08-14T20:54:51.1849180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindSDL_image.cmake
2025-08-14T20:54:51.1850340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeTestCCompiler.cmake
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2025-08-14T20:54:51.1853640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckSymbolExists.cmake
2025-08-14T20:54:51.1854610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindPerl.cmake
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2025-08-14T20:54:51.1859200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/Qt4ConfigDependentSettings.cmake
2025-08-14T20:54:51.1860180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindSWIG.cmake
2025-08-14T20:54:51.1861360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeOBJCXXCompilerId.mm.in
2025-08-14T20:54:51.1862340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindGit.cmake
2025-08-14T20:54:51.1863520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/AddFileDependencies.cmake
2025-08-14T20:54:51.1864520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/GoogleTest.cmake
2025-08-14T20:54:51.1865550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindDCMTK.cmake
2025-08-14T20:54:51.1866620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckLanguage.cmake
2025-08-14T20:54:51.1867730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindSQLite3.cmake
2025-08-14T20:54:51.1868840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeHIPCompiler.cmake.in
2025-08-14T20:54:51.1869860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindVulkan.cmake
2025-08-14T20:54:51.1870880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeTestGNU.c
2025-08-14T20:54:51.1872120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CTestCoverageCollectGCOV.cmake
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2025-08-14T20:54:51.1874280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindosgProducer.cmake
2025-08-14T20:54:51.1875450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindosgManipulator.cmake
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2025-08-14T20:54:51.1877610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindMFC.cmake
2025-08-14T20:54:51.1878780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeBorlandFindMake.cmake
2025-08-14T20:54:51.1879970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeFortranCompilerId.F.in
2025-08-14T20:54:51.1881100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckStructHasMember.cmake
2025-08-14T20:54:51.1882180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/ExternalProject.cmake
2025-08-14T20:54:51.1883330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckCSourceCompiles.cmake
2025-08-14T20:54:51.1884450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeFindCodeBlocks.cmake
2025-08-14T20:54:51.1885840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/BasicConfigVersion-AnyNewerVersion.cmake.in
2025-08-14T20:54:51.1886940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeISPCInformation.cmake
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2025-08-14T20:54:51.1892470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindPython3.cmake
2025-08-14T20:54:51.1893750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeBackwardCompatibilityCXX.cmake
2025-08-14T20:54:51.1894800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindOpenThreads.cmake
2025-08-14T20:54:51.1895870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckSizeOf.cmake
2025-08-14T20:54:51.1896940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindPythonInterp.cmake
2025-08-14T20:54:51.1898060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindOpenSceneGraph.cmake
2025-08-14T20:54:51.1899350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeDetermineVSServicePack.cmake
2025-08-14T20:54:51.1900460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckOBJCSourceCompiles.cmake
2025-08-14T20:54:51.1901600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeTestASMCompiler.cmake
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2025-08-14T20:54:51.1903710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindMPEG2.cmake
2025-08-14T20:54:51.1904730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/UseSWIG.cmake
2025-08-14T20:54:51.1905880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeVerifyManifest.cmake
2025-08-14T20:54:51.1907010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakePrintHelpers.cmake
2025-08-14T20:54:51.1907980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/Qt4Macros.cmake
2025-08-14T20:54:51.1909080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/UsePkgConfig.cmake
2025-08-14T20:54:51.1910090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindPhysFS.cmake
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2025-08-14T20:54:51.1912270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindWish.cmake
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2025-08-14T20:54:51.1914470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindPython/Support.cmake
2025-08-14T20:54:51.1915460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindGLEW.cmake
2025-08-14T20:54:51.1916620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeCXXCompiler.cmake.in
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2025-08-14T20:54:51.1918840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/TestEndianess.c.in
2025-08-14T20:54:51.1920090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/MacroAddFileDependencies.cmake
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2025-08-14T20:54:51.1922410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckIncludeFiles.cmake
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2025-08-14T20:54:51.1925060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FortranCInterface.cmake
2025-08-14T20:54:51.1926090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindMsys.cmake
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2025-08-14T20:54:51.1930430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindLua51.cmake
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2025-08-14T20:54:51.1935040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeBuildSettings.cmake.in
2025-08-14T20:54:51.1936160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CheckFunctionExists.cmake
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2025-08-14T20:54:51.1938400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindASPELL.cmake
2025-08-14T20:54:51.1939410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindGnuTLS.cmake
2025-08-14T20:54:51.1940520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindCUDAToolkit.cmake
2025-08-14T20:54:51.1941560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/CMakeCCompilerABI.c
2025-08-14T20:54:51.1942580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindTclStub.cmake
2025-08-14T20:54:51.1943610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindJNI.cmake
2025-08-14T20:54:51.1944930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/FindEXPAT.cmake
2025-08-14T20:54:51.1946000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/cmake-3.31.2-h89d4fe9_0/share/cmake-3.31/Modules/Use_wxWindows.cmake
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2025-08-14T20:54:51.5927840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pcre2-10.42-hb066dcc_1/man/man3/pcre2_set_recursion_limit.3
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2025-08-14T20:54:51.6295730Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-8.pc
2025-08-14T20:54:51.6296500Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/krb5-gssapi.pc
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2025-08-14T20:54:51.6298070Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/krb5.pc
2025-08-14T20:54:51.6298830Z /opt/homebrew/Caskroom/miniconda/base/lib/pkgconfig/libpcre2-16.pc
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2025-08-14T20:54:51.6305390Z /opt/homebrew/Caskroom/miniconda/base/lib/libicuio.dylib
2025-08-14T20:54:51.6306350Z /opt/homebrew/Caskroom/miniconda/base/lib/libarchive.13.7.7.dylib
2025-08-14T20:54:51.6306920Z /opt/homebrew/Caskroom/miniconda/base/lib/libicutest.a
2025-08-14T20:54:51.6307520Z /opt/homebrew/Caskroom/miniconda/base/lib/libc++.a
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2025-08-14T20:54:51.6309040Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/libthread2.8.9.dylib
2025-08-14T20:54:51.6309710Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/pkgIndex.tcl
2025-08-14T20:54:51.6310450Z /opt/homebrew/Caskroom/miniconda/base/lib/thread2.8.9/ttrace.tcl
2025-08-14T20:54:51.6311190Z /opt/homebrew/Caskroom/miniconda/base/lib/libsimdjson.23.0.0.dylib
2025-08-14T20:54:51.6311730Z /opt/homebrew/Caskroom/miniconda/base/lib/libicuio.a
2025-08-14T20:54:51.6312500Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-16.0.11.2.dylib
2025-08-14T20:54:51.6313190Z /opt/homebrew/Caskroom/miniconda/base/lib/libssh2.1.0.1.dylib
2025-08-14T20:54:51.6314010Z /opt/homebrew/Caskroom/miniconda/base/lib/libpcre2-8.0.dylib
2025-08-14T20:54:51.6314680Z /opt/homebrew/Caskroom/miniconda/base/lib/libpanel.dylib
2025-08-14T20:54:51.6315470Z /opt/homebrew/Caskroom/miniconda/base/lib/libexpat.dylib
2025-08-14T20:54:51.6316140Z /opt/homebrew/Caskroom/miniconda/base/lib/libz.1.2.13.dylib
2025-08-14T20:54:51.6316900Z /opt/homebrew/Caskroom/miniconda/base/lib/libcharset.1.dylib
2025-08-14T20:54:51.6317570Z /opt/homebrew/Caskroom/miniconda/base/lib/libicudata.dylib
2025-08-14T20:54:51.6318530Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc/reproc-config.cmake
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2025-08-14T20:54:51.6322260Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/liblzma/liblzma-config.cmake
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2025-08-14T20:54:51.6331160Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/reproc++/reproc++-config-version.cmake
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2025-08-14T20:54:51.6335070Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/expat-2.7.1/expat-config.cmake
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2025-08-14T20:54:51.6346340Z /opt/homebrew/Caskroom/miniconda/base/lib/cmake/libmamba/libmambaConfigVersion.cmake
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2025-08-14T20:54:51.6367690Z /opt/homebrew/Caskroom/miniconda/base/lib/libmamba.2.0.0.dylib
2025-08-14T20:54:51.6368350Z /opt/homebrew/Caskroom/miniconda/base/lib/libyaml-cpp.0.8.dylib
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2025-08-14T20:54:51.6378000Z /opt/homebrew/Caskroom/miniconda/base/lib/libkadm5srv_mit.12.0.dylib
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2025-08-14T20:54:51.6382130Z /opt/homebrew/Caskroom/miniconda/base/lib/libreproc++.14.dylib
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2025-08-14T20:54:51.6385710Z /opt/homebrew/Caskroom/miniconda/base/lib/libtclstub8.6.a
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2025-08-14T20:54:51.6397710Z /opt/homebrew/Caskroom/miniconda/base/lib/libgmock.1.11.0.dylib
2025-08-14T20:54:51.6398520Z /opt/homebrew/Caskroom/miniconda/base/lib/libkadm5srv_mit.12.dylib
2025-08-14T20:54:51.6399190Z /opt/homebrew/Caskroom/miniconda/base/lib/libcares.2.dylib
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2025-08-14T20:54:51.6409120Z /opt/homebrew/Caskroom/miniconda/base/lib/libgssapi_krb5.2.2.dylib
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2025-08-14T20:54:51.6416650Z /opt/homebrew/Caskroom/miniconda/base/lib/libkadm5clnt.dylib
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2025-08-14T20:54:51.8847750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/c_lexer.py
2025-08-14T20:54:51.8848860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/lextab.py
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2025-08-14T20:54:51.9538380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/hmac.py
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2025-08-14T20:54:51.9541310Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/_oid.py
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2025-08-14T20:54:52.4793250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_exec.3
2025-08-14T20:54:52.4794010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_opendir.3
2025-08-14T20:54:52.4794930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust2.3
2025-08-14T20:54:52.4795500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_close.3
2025-08-14T20:54:52.4796230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_filter.3
2025-08-14T20:54:52.4797000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_destroy_options.3
2025-08-14T20:54:52.4797660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_data.3
2025-08-14T20:54:52.4798310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_wend.3
2025-08-14T20:54:52.4798980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif_var.3
2025-08-14T20:54:52.4799850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen.3
2025-08-14T20:54:52.4800550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_close.3
2025-08-14T20:54:52.4801130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_fds.3
2025-08-14T20:54:52.4801850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname.3
2025-08-14T20:54:52.4802700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_stderr.3
2025-08-14T20:54:52.4803430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_last_error.3
2025-08-14T20:54:52.4804100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_init_options.3
2025-08-14T20:54:52.4804970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_process_startup.3
2025-08-14T20:54:52.4805680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_userauth.3
2025-08-14T20:54:52.4806330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_timeout.3
2025-08-14T20:54:52.4806930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_init_fd.3
2025-08-14T20:54:52.4807710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add.3
2025-08-14T20:54:52.4808270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_parse.3
2025-08-14T20:54:52.4808970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getnameinfo.3
2025-08-14T20:54:52.4809630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace.3
2025-08-14T20:54:52.4810480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_timeout.3
2025-08-14T20:54:52.4811210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_dev.3
2025-08-14T20:54:52.4811860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_disk.3
2025-08-14T20:54:52.4812660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_set.3
2025-08-14T20:54:52.4813290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read.3
2025-08-14T20:54:52.4813970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wdeletestr.3
2025-08-14T20:54:52.4814770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink_ex.3
2025-08-14T20:54:52.4815430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open_into.3
2025-08-14T20:54:52.4816160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close.3
2025-08-14T20:54:52.4816970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname_file.3
2025-08-14T20:54:52.4817730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close_handle.3
2025-08-14T20:54:52.4818470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send_ex.3
2025-08-14T20:54:52.4819250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_ex.3
2025-08-14T20:54:52.4819810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_str.3
2025-08-14T20:54:52.4820560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_shell.3
2025-08-14T20:54:52.4821320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_init.3
2025-08-14T20:54:52.4822040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_list.3
2025-08-14T20:54:52.4822830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_signal_ex.3
2025-08-14T20:54:52.4823620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_stderr.3
2025-08-14T20:54:52.4824350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers_ports.3
2025-08-14T20:54:52.4825240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_read_ex.3
2025-08-14T20:54:52.4825790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_free.3
2025-08-14T20:54:52.4826520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_soa_reply.3
2025-08-14T20:54:52.4827290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_naptr_reply.3
2025-08-14T20:54:52.4827980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat.3
2025-08-14T20:54:52.4828740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_addc.3
2025-08-14T20:54:52.4829440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_a_reply.3
2025-08-14T20:54:52.4830260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_open_session.3
2025-08-14T20:54:52.4830870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_winit.3
2025-08-14T20:54:52.4831810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_configure_callback.3
2025-08-14T20:54:52.4832470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_open.3
2025-08-14T20:54:52.4833270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readline.3
2025-08-14T20:54:52.4834110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_set_identity_path.3
2025-08-14T20:54:52.4834890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_get.3
2025-08-14T20:54:52.4835640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_checkp.3
2025-08-14T20:54:52.4836580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_ignore_extended_data.3
2025-08-14T20:54:52.4837220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_write.3
2025-08-14T20:54:52.4838070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_cancel.3
2025-08-14T20:54:52.4838740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_format.3
2025-08-14T20:54:52.4839580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add_ex.3
2025-08-14T20:54:52.4840280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_config.3
2025-08-14T20:54:52.4840980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir.3
2025-08-14T20:54:52.4841770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_disconnect.3
2025-08-14T20:54:52.4842510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink_ex.3
2025-08-14T20:54:52.4843020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ev.3
2025-08-14T20:54:52.4843810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_paths.3
2025-08-14T20:54:52.4844430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif.3
2025-08-14T20:54:52.4845110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_version.3
2025-08-14T20:54:52.4845650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi.3
2025-08-14T20:54:52.4846410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink.3
2025-08-14T20:54:52.4847050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_deletestr.3
2025-08-14T20:54:52.4847770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send.3
2025-08-14T20:54:52.4848540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init_android.3
2025-08-14T20:54:52.4849090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_end.3
2025-08-14T20:54:52.4849800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_strerror.3
2025-08-14T20:54:52.4850610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey.3
2025-08-14T20:54:52.4851280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_filter.3
2025-08-14T20:54:52.4851990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open.3
2025-08-14T20:54:52.4852750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir_ex.3
2025-08-14T20:54:52.4853500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_base64_decode.3
2025-08-14T20:54:52.4854110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_end.3
2025-08-14T20:54:52.4854780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sign_sk.3
2025-08-14T20:54:52.4855500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_lstat.3
2025-08-14T20:54:52.4856100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv.3
2025-08-14T20:54:52.4856710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send.3
2025-08-14T20:54:52.4857500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_init.3
2025-08-14T20:54:52.4858220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read.3
2025-08-14T20:54:52.4859050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password_ex.3
2025-08-14T20:54:52.4859640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open.3
2025-08-14T20:54:52.4860520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_sk.3
2025-08-14T20:54:52.4861210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_data.3
2025-08-14T20:54:52.4861970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_aaaa_reply.3
2025-08-14T20:54:52.4862830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size.3
2025-08-14T20:54:52.4863600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_stderr.3
2025-08-14T20:54:52.4864320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_crypto_engine.3
2025-08-14T20:54:52.4865060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_add.3
2025-08-14T20:54:52.4865920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_get_exit_signal.3
2025-08-14T20:54:52.4866600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_time.3
2025-08-14T20:54:52.4867380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_callback.3
2025-08-14T20:54:52.4868150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ns_reply.3
2025-08-14T20:54:52.4868760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getaddrinfo.3
2025-08-14T20:54:52.4869640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_read_timeout.3
2025-08-14T20:54:52.4870320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_caa_reply.3
2025-08-14T20:54:52.4871190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_read_timeout.3
2025-08-14T20:54:52.4871850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_free.3
2025-08-14T20:54:52.4872720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen_ex.3
2025-08-14T20:54:52.4873820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstatvfs.3
2025-08-14T20:54:52.4874190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_linkify.3
2025-08-14T20:54:52.4874930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv.3
2025-08-14T20:54:52.4875630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell.3
2025-08-14T20:54:52.4876540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile.3
2025-08-14T20:54:52.4877150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry.3
2025-08-14T20:54:52.4877940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll_channel_read.3
2025-08-14T20:54:52.4878880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile_ex.3
2025-08-14T20:54:52.4879410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_gets.3
2025-08-14T20:54:52.4880400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_frommemory.3
2025-08-14T20:54:52.4881120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace_sethandler.3
2025-08-14T20:54:52.4881790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write.3
2025-08-14T20:54:52.4882590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove_ex.3
2025-08-14T20:54:52.4883300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_free.3
2025-08-14T20:54:52.4884050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_realpath.3
2025-08-14T20:54:52.4884680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_init.3
2025-08-14T20:54:52.4885540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_fetch.3
2025-08-14T20:54:52.4886270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req.3
2025-08-14T20:54:52.4887160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove.3
2025-08-14T20:54:52.4887800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_reset.3
2025-08-14T20:54:52.4888670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_add_passphrase.3
2025-08-14T20:54:52.4889400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_methods.3
2025-08-14T20:54:52.4890100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek64.3
2025-08-14T20:54:52.4890930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename_ex.3
2025-08-14T20:54:52.4891770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_block_directions.3
2025-08-14T20:54:52.4892450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_eof.3
2025-08-14T20:54:52.4893180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_flag.3
2025-08-14T20:54:52.4893810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_exit.3
2025-08-14T20:54:52.4894530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_sortlist.3
2025-08-14T20:54:52.4895160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_insertstr.3
2025-08-14T20:54:52.4895820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll.3
2025-08-14T20:54:52.4896670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_free.3
2025-08-14T20:54:52.4897560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust.3
2025-08-14T20:54:52.4898190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_hostent.3
2025-08-14T20:54:52.4898960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init_ex.3
2025-08-14T20:54:52.4899800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write_ex.3
2025-08-14T20:54:52.4900600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_timeout.3
2025-08-14T20:54:52.4901380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_blocking.3
2025-08-14T20:54:52.4902060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip6.3
2025-08-14T20:54:52.4902880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write.3
2025-08-14T20:54:52.4903500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-pool.3
2025-08-14T20:54:52.4904350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip.3
2025-08-14T20:54:52.4904900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wgets.3
2025-08-14T20:54:52.4905530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_winit.3
2025-08-14T20:54:52.4906160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconvctl.3
2025-08-14T20:54:52.4906770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/history_w.3
2025-08-14T20:54:52.4907590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writefile.3
2025-08-14T20:54:52.4908160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/readline.3
2025-08-14T20:54:52.4909260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect_ex.3
2025-08-14T20:54:52.4909970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_txt_reply.3
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2025-08-14T20:54:52.4924490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_wline.3
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2025-08-14T20:54:52.4927970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_set.3
2025-08-14T20:54:52.4928710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyaddr.3
2025-08-14T20:54:52.4929340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_winsertstr.3
2025-08-14T20:54:52.4930300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip_ex.3
2025-08-14T20:54:52.4931240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions.3
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2025-08-14T20:54:52.4933480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity_path.3
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2025-08-14T20:54:52.4935250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wline.3
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2025-08-14T20:54:52.4940210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_new.3
2025-08-14T20:54:52.4940950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_wstr.3
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2025-08-14T20:54:52.4942890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/tok_line.3
2025-08-14T20:54:52.4943800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_free.3
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2025-08-14T20:54:52.4945890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports.3
2025-08-14T20:54:52.4946930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readfile.3
2025-08-14T20:54:52.4947870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_cleanup.3
2025-08-14T20:54:52.4948600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wget.3
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2025-08-14T20:54:52.4964590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers.3
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2025-08-14T20:54:52.4968390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wset.3
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2025-08-14T20:54:52.4978090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ptr_reply.3
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2025-08-14T20:54:52.4983770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_save_options.3
2025-08-14T20:54:52.4984750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_hostkey.3
2025-08-14T20:54:52.4985640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_ntop.3
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2025-08-14T20:54:52.4995430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_header.3
2025-08-14T20:54:52.4996250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/el_wparse.3
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2025-08-14T20:54:52.4998310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_ex.3
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2025-08-14T20:54:52.5000520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_expand_name.3
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2025-08-14T20:54:52.5047310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genrb.1
2025-08-14T20:54:52.5048130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/k5srvutil.1
2025-08-14T20:54:52.5048920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ksu.1
2025-08-14T20:54:52.5049680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdec.1
2025-08-14T20:54:52.5050580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/repo2solv.1
2025-08-14T20:54:52.5051290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzegrep.1
2025-08-14T20:54:52.5052000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/iconv.1
2025-08-14T20:54:52.5052750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/solv.1
2025-08-14T20:54:52.5053470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/sqlite3.1
2025-08-14T20:54:52.5054340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzgrep.1
2025-08-14T20:54:52.5055110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzgrep.1
2025-08-14T20:54:52.5056070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kpasswd.1
2025-08-14T20:54:52.5057030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzegrep.1
2025-08-14T20:54:52.5057670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdless.1
2025-08-14T20:54:52.5058410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/kinit.1
2025-08-14T20:54:52.5059140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/dumpsolv.1
2025-08-14T20:54:52.5059840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzless.1
2025-08-14T20:54:52.5060640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlzma.1
2025-08-14T20:54:52.5061480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdunzip.1
2025-08-14T20:54:52.5062220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcpio.1
2025-08-14T20:54:52.5063040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genbrk.1
2025-08-14T20:54:52.5063880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzless.1
2025-08-14T20:54:52.5064700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzfgrep.1
2025-08-14T20:54:52.5065560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/testsolv.1
2025-08-14T20:54:52.5066340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstd.1
2025-08-14T20:54:52.5067480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdgrep.1
2025-08-14T20:54:52.5067890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcat.1
2025-08-14T20:54:52.5068640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4c.1
2025-08-14T20:54:52.5069320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcmp.1
2025-08-14T20:54:52.5070090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unxz.1
2025-08-14T20:54:52.5070940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzfgrep.1
2025-08-14T20:54:52.5071670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencnval.1
2025-08-14T20:54:52.5072390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/klist.1
2025-08-14T20:54:52.5073160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/makeconv.1
2025-08-14T20:54:52.5074210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmadec.1
2025-08-14T20:54:52.5074900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcat.1
2025-08-14T20:54:52.5075700Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencfu.1
2025-08-14T20:54:52.5076570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/derb.1
2025-08-14T20:54:52.5077310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man7/editline.7
2025-08-14T20:54:52.5078130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man7/kerberos.7
2025-08-14T20:54:52.5079030Z /opt/homebrew/Caskroom/miniconda/base/share/aclocal/libxml.m4
2025-08-14T20:54:52.5079710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mauritius
2025-08-14T20:54:52.5080340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Chagos
2025-08-14T20:54:52.5081000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mayotte
2025-08-14T20:54:52.5081690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Christmas
2025-08-14T20:54:52.5082300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Cocos
2025-08-14T20:54:52.5083210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Maldives
2025-08-14T20:54:52.5083840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Comoro
2025-08-14T20:54:52.5084540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Reunion
2025-08-14T20:54:52.5085280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mahe
2025-08-14T20:54:52.5086010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Kerguelen
2025-08-14T20:54:52.5086730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Antananarivo
2025-08-14T20:54:52.5087340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faroe
2025-08-14T20:54:52.5087990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Canary
2025-08-14T20:54:52.5088770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Stanley
2025-08-14T20:54:52.5089510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Bermuda
2025-08-14T20:54:52.5090220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/South_Georgia
2025-08-14T20:54:52.5090910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/St_Helena
2025-08-14T20:54:52.5091640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Jan_Mayen
2025-08-14T20:54:52.5092300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faeroe
2025-08-14T20:54:52.5093000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Reykjavik
2025-08-14T20:54:52.5093690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Cape_Verde
2025-08-14T20:54:52.5094340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Azores
2025-08-14T20:54:52.5095020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Madeira
2025-08-14T20:54:52.5095560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CST6CDT
2025-08-14T20:54:52.5096210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Poland
2025-08-14T20:54:52.5096750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Alaska
2025-08-14T20:54:52.5097370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Pacific
2025-08-14T20:54:52.5098100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Eastern
2025-08-14T20:54:52.5098980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Michigan
2025-08-14T20:54:52.5099420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Arizona
2025-08-14T20:54:52.5100090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Indiana-Starke
2025-08-14T20:54:52.5100690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Aleutian
2025-08-14T20:54:52.5101370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Hawaii
2025-08-14T20:54:52.5101970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/East-Indiana
2025-08-14T20:54:52.5102560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Central
2025-08-14T20:54:52.5103180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Mountain
2025-08-14T20:54:52.5103860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Samoa
2025-08-14T20:54:52.5104650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Kwajalein
2025-08-14T20:54:52.5105090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leapseconds
2025-08-14T20:54:52.5105800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/DeNoronha
2025-08-14T20:54:52.5106380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/Acre
2025-08-14T20:54:52.5106970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/East
2025-08-14T20:54:52.5107610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/West
2025-08-14T20:54:52.5108360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Port_Moresby
2025-08-14T20:54:52.5108990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chuuk
2025-08-14T20:54:52.5109610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Easter
2025-08-14T20:54:52.5110460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kwajalein
2025-08-14T20:54:52.5111020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tongatapu
2025-08-14T20:54:52.5111640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Yap
2025-08-14T20:54:52.5112290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wallis
2025-08-14T20:54:52.5112910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Apia
2025-08-14T20:54:52.5113610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Norfolk
2025-08-14T20:54:52.5114250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Efate
2025-08-14T20:54:52.5114860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fiji
2025-08-14T20:54:52.5115540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Funafuti
2025-08-14T20:54:52.5116170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Palau
2025-08-14T20:54:52.5116790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guam
2025-08-14T20:54:52.5117710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Saipan
2025-08-14T20:54:52.5118170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kosrae
2025-08-14T20:54:52.5118760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Niue
2025-08-14T20:54:52.5119460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Ponape
2025-08-14T20:54:52.5120030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wake
2025-08-14T20:54:52.5120730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Galapagos
2025-08-14T20:54:52.5121400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Johnston
2025-08-14T20:54:52.5122030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Midway
2025-08-14T20:54:52.5122670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Nauru
2025-08-14T20:54:52.5123420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guadalcanal
2025-08-14T20:54:52.5124190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chatham
2025-08-14T20:54:52.5124730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Auckland
2025-08-14T20:54:52.5125370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Noumea
2025-08-14T20:54:52.5126030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fakaofo
2025-08-14T20:54:52.5126680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tahiti
2025-08-14T20:54:52.5127360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Gambier
2025-08-14T20:54:52.5128000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Majuro
2025-08-14T20:54:52.5128780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Honolulu
2025-08-14T20:54:52.5129330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pohnpei
2025-08-14T20:54:52.5130070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pago_Pago
2025-08-14T20:54:52.5130630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Truk
2025-08-14T20:54:52.5131500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pitcairn
2025-08-14T20:54:52.5132020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Marquesas
2025-08-14T20:54:52.5132680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kanton
2025-08-14T20:54:52.5133400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Bougainville
2025-08-14T20:54:52.5134040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tarawa
2025-08-14T20:54:52.5134730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Rarotonga
2025-08-14T20:54:52.5135360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Samoa
2025-08-14T20:54:52.5136060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kiritimati
2025-08-14T20:54:52.5136730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Enderbury
2025-08-14T20:54:52.5137590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone1970.tab
2025-08-14T20:54:52.5137940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST
2025-08-14T20:54:52.5138480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ
2025-08-14T20:54:52.5139170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Arctic/Longyearbyen
2025-08-14T20:54:52.5139760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Universal
2025-08-14T20:54:52.5144500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Libya
2025-08-14T20:54:52.5144740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Turkey
2025-08-14T20:54:52.5144910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/iso3166.tab
2025-08-14T20:54:52.5145300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST5EDT
2025-08-14T20:54:52.5145430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Greenwich
2025-08-14T20:54:52.5145570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Puerto_Rico
2025-08-14T20:54:52.5145700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Recife
2025-08-14T20:54:52.5145840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Resolute
2025-08-14T20:54:52.5145980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Manaus
2025-08-14T20:54:52.5146180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/New_York
2025-08-14T20:54:52.5146920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rankin_Inlet
2025-08-14T20:54:52.5147520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lima
2025-08-14T20:54:52.5148280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Barthelemy
2025-08-14T20:54:52.5149010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santo_Domingo
2025-08-14T20:54:52.5149670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Detroit
2025-08-14T20:54:52.5150360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Paramaribo
2025-08-14T20:54:52.5151060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yakutat
2025-08-14T20:54:52.5151850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santarem
2025-08-14T20:54:52.5152470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Punta_Arenas
2025-08-14T20:54:52.5153290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Scoresbysund
2025-08-14T20:54:52.5153850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santiago
2025-08-14T20:54:52.5154510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guyana
2025-08-14T20:54:52.5155240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coral_Harbour
2025-08-14T20:54:52.5155930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rio_Branco
2025-08-14T20:54:52.5156700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Acre
2025-08-14T20:54:52.5157400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ciudad_Juarez
2025-08-14T20:54:52.5158150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nipigon
2025-08-14T20:54:52.5158760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Edmonton
2025-08-14T20:54:52.5159580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port_of_Spain
2025-08-14T20:54:52.5160210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lower_Princes
2025-08-14T20:54:52.5161010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Thomas
2025-08-14T20:54:52.5161620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guatemala
2025-08-14T20:54:52.5162300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Catamarca
2025-08-14T20:54:52.5162990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Antigua
2025-08-14T20:54:52.5163690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Velho
2025-08-14T20:54:52.5164310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rosario
2025-08-14T20:54:52.5165000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chicago
2025-08-14T20:54:52.5165620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Creston
2025-08-14T20:54:52.5166280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Managua
2025-08-14T20:54:52.5166950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nassau
2025-08-14T20:54:52.5167590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bogota
2025-08-14T20:54:52.5168490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cancun
2025-08-14T20:54:52.5169000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chihuahua
2025-08-14T20:54:52.5169700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Campo_Grande
2025-08-14T20:54:52.5170380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Halifax
2025-08-14T20:54:52.5170980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boise
2025-08-14T20:54:52.5171640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montreal
2025-08-14T20:54:52.5172350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Goose_Bay
2025-08-14T20:54:52.5173030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sao_Paulo
2025-08-14T20:54:52.5173720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Blanc-Sablon
2025-08-14T20:54:52.5174640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Phoenix
2025-08-14T20:54:52.5175050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atikokan
2025-08-14T20:54:52.5175730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayenne
2025-08-14T20:54:52.5176360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nuuk
2025-08-14T20:54:52.5177120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santa_Isabel
2025-08-14T20:54:52.5177770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boa_Vista
2025-08-14T20:54:52.5178540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia_Banderas
2025-08-14T20:54:52.5179240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vevay
2025-08-14T20:54:52.5180060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Indianapolis
2025-08-14T20:54:52.5181000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Winamac
2025-08-14T20:54:52.5181720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Tell_City
2025-08-14T20:54:52.5182460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Petersburg
2025-08-14T20:54:52.5183210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vincennes
2025-08-14T20:54:52.5183940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Knox
2025-08-14T20:54:52.5184840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Marengo
2025-08-14T20:54:52.5185370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indianapolis
2025-08-14T20:54:52.5186050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dominica
2025-08-14T20:54:52.5186790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Salta
2025-08-14T20:54:52.5187610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Ushuaia
2025-08-14T20:54:52.5188610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Catamarca
2025-08-14T20:54:52.5189220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/ComodRivadavia
2025-08-14T20:54:52.5189990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Juan
2025-08-14T20:54:52.5190720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Luis
2025-08-14T20:54:52.5191520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-08-14T20:54:52.5192240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Jujuy
2025-08-14T20:54:52.5193000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Tucuman
2025-08-14T20:54:52.5193830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Buenos_Aires
2025-08-14T20:54:52.5194800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Cordoba
2025-08-14T20:54:52.5195380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/La_Rioja
2025-08-14T20:54:52.5196160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Mendoza
2025-08-14T20:54:52.5196930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/La_Paz
2025-08-14T20:54:52.5197430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson
2025-08-14T20:54:52.5198160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Moncton
2025-08-14T20:54:52.5198870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Matamoros
2025-08-14T20:54:52.5199500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Vincent
2025-08-14T20:54:52.5200440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Regina
2025-08-14T20:54:52.5200980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yellowknife
2025-08-14T20:54:52.5201620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rainy_River
2025-08-14T20:54:52.5202290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kralendijk
2025-08-14T20:54:52.5203030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Monterrey
2025-08-14T20:54:52.5203630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jamaica
2025-08-14T20:54:52.5204290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Havana
2025-08-14T20:54:52.5204970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tegucigalpa
2025-08-14T20:54:52.5205660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guayaquil
2025-08-14T20:54:52.5206470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Metlakatla
2025-08-14T20:54:52.5207270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mazatlan
2025-08-14T20:54:52.5207740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belize
2025-08-14T20:54:52.5208410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Knox_IN
2025-08-14T20:54:52.5209030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cuiaba
2025-08-14T20:54:52.5209670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Merida
2025-08-14T20:54:52.5210290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jujuy
2025-08-14T20:54:52.5210930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayman
2025-08-14T20:54:52.5211560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belem
2025-08-14T20:54:52.5212250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Eirunepe
2025-08-14T20:54:52.5212980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Lucia
2025-08-14T20:54:52.5213680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia
2025-08-14T20:54:52.5214290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Whitehorse
2025-08-14T20:54:52.5214950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tortola
2025-08-14T20:54:52.5215620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Vancouver
2025-08-14T20:54:52.5216250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Inuvik
2025-08-14T20:54:52.5217000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port-au-Prince
2025-08-14T20:54:52.5217670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fortaleza
2025-08-14T20:54:52.5218340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Noronha
2025-08-14T20:54:52.5219090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Buenos_Aires
2025-08-14T20:54:52.5219800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Los_Angeles
2025-08-14T20:54:52.5220500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/El_Salvador
2025-08-14T20:54:52.5221140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Denver
2025-08-14T20:54:52.5222090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Wayne
2025-08-14T20:54:52.5222870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Louisville
2025-08-14T20:54:52.5223650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Monticello
2025-08-14T20:54:52.5224460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/New_Salem
2025-08-14T20:54:52.5225250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Center
2025-08-14T20:54:52.5226250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Beulah
2025-08-14T20:54:52.5226660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Glace_Bay
2025-08-14T20:54:52.5227470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montserrat
2025-08-14T20:54:52.5228030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Toronto
2025-08-14T20:54:52.5228680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Panama
2025-08-14T20:54:52.5229320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cordoba
2025-08-14T20:54:52.5230050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Louisville
2025-08-14T20:54:52.5230720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ensenada
2025-08-14T20:54:52.5231490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Shiprock
2025-08-14T20:54:52.5232070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ojinaga
2025-08-14T20:54:52.5232690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thule
2025-08-14T20:54:52.5233350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Caracas
2025-08-14T20:54:52.5234030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Araguaina
2025-08-14T20:54:52.5234840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cambridge_Bay
2025-08-14T20:54:52.5235460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Winnipeg
2025-08-14T20:54:52.5236150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grand_Turk
2025-08-14T20:54:52.5236800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Virgin
2025-08-14T20:54:52.5237500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anchorage
2025-08-14T20:54:52.5238170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Costa_Rica
2025-08-14T20:54:52.5238850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nome
2025-08-14T20:54:52.5239470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grenada
2025-08-14T20:54:52.5240120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Johns
2025-08-14T20:54:52.5240760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atka
2025-08-14T20:54:52.5241500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Asuncion
2025-08-14T20:54:52.5242100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Hermosillo
2025-08-14T20:54:52.5242750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tijuana
2025-08-14T20:54:52.5243460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Marigot
2025-08-14T20:54:52.5244120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Juneau
2025-08-14T20:54:52.5244780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montevideo
2025-08-14T20:54:52.5245430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Godthab
2025-08-14T20:54:52.5246110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guadeloupe
2025-08-14T20:54:52.5246740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Maceio
2025-08-14T20:54:52.5247440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Pangnirtung
2025-08-14T20:54:52.5248090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Kitts
2025-08-14T20:54:52.5248770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Barbados
2025-08-14T20:54:52.5249470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Iqaluit
2025-08-14T20:54:52.5250210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Menominee
2025-08-14T20:54:52.5250840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Martinique
2025-08-14T20:54:52.5251760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mexico_City
2025-08-14T20:54:52.5252300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Swift_Current
2025-08-14T20:54:52.5253000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Miquelon
2025-08-14T20:54:52.5253580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Curacao
2025-08-14T20:54:52.5254300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson_Creek
2025-08-14T20:54:52.5255000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mendoza
2025-08-14T20:54:52.5255560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Adak
2025-08-14T20:54:52.5256250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coyhaique
2025-08-14T20:54:52.5257120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thunder_Bay
2025-08-14T20:54:52.5257610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Aruba
2025-08-14T20:54:52.5258350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Nelson
2025-08-14T20:54:52.5258970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sitka
2025-08-14T20:54:52.5259650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anguilla
2025-08-14T20:54:52.5260360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Danmarkshavn
2025-08-14T20:54:52.5261060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Melbourne
2025-08-14T20:54:52.5261760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Queensland
2025-08-14T20:54:52.5262430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/North
2025-08-14T20:54:52.5263150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lord_Howe
2025-08-14T20:54:52.5263830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Adelaide
2025-08-14T20:54:52.5264530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Yancowinna
2025-08-14T20:54:52.5265230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Victoria
2025-08-14T20:54:52.5265900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Canberra
2025-08-14T20:54:52.5266570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Sydney
2025-08-14T20:54:52.5267220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/ACT
2025-08-14T20:54:52.5267860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Eucla
2025-08-14T20:54:52.5268570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Brisbane
2025-08-14T20:54:52.5269870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Tasmania
2025-08-14T20:54:52.5270420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Hobart
2025-08-14T20:54:52.5270650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Perth
2025-08-14T20:54:52.5271640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/South
2025-08-14T20:54:52.5272060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lindeman
2025-08-14T20:54:52.5272730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Darwin
2025-08-14T20:54:52.5273360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/West
2025-08-14T20:54:52.5274000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/LHI
2025-08-14T20:54:52.5274650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/NSW
2025-08-14T20:54:52.5275370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Broken_Hill
2025-08-14T20:54:52.5276020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Currie
2025-08-14T20:54:52.5276630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-10
2025-08-14T20:54:52.5277230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+12
2025-08-14T20:54:52.5277890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-11
2025-08-14T20:54:52.5278620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Universal
2025-08-14T20:54:52.5279150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Greenwich
2025-08-14T20:54:52.5279860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-6
2025-08-14T20:54:52.5280380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-1
2025-08-14T20:54:52.5281000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-8
2025-08-14T20:54:52.5281580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+4
2025-08-14T20:54:52.5282210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+3
2025-08-14T20:54:52.5282810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-9
2025-08-14T20:54:52.5283420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-0
2025-08-14T20:54:52.5284030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-7
2025-08-14T20:54:52.5284590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+2
2025-08-14T20:54:52.5285190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+5
2025-08-14T20:54:52.5285840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT
2025-08-14T20:54:52.5286620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Zulu
2025-08-14T20:54:52.5287060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+11
2025-08-14T20:54:52.5287670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-13
2025-08-14T20:54:52.5288260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-14
2025-08-14T20:54:52.5288890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+10
2025-08-14T20:54:52.5289480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-12
2025-08-14T20:54:52.5290060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT0
2025-08-14T20:54:52.5290650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UCT
2025-08-14T20:54:52.5291280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+0
2025-08-14T20:54:52.5291890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+7
2025-08-14T20:54:52.5292500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+9
2025-08-14T20:54:52.5293090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-2
2025-08-14T20:54:52.5293690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-5
2025-08-14T20:54:52.5294300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+8
2025-08-14T20:54:52.5294900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+6
2025-08-14T20:54:52.5295510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+1
2025-08-14T20:54:52.5296060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UTC
2025-08-14T20:54:52.5296750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-4
2025-08-14T20:54:52.5297330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-3
2025-08-14T20:54:52.5298150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zonenow.tab
2025-08-14T20:54:52.5298530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ-CHAT
2025-08-14T20:54:52.5299200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dushanbe
2025-08-14T20:54:52.5299820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qostanay
2025-08-14T20:54:52.5300470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Calcutta
2025-08-14T20:54:52.5301070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Urumqi
2025-08-14T20:54:52.5301690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Karachi
2025-08-14T20:54:52.5302340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Khandyga
2025-08-14T20:54:52.5302960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimbu
2025-08-14T20:54:52.5303600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimphu
2025-08-14T20:54:52.5304500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vladivostok
2025-08-14T20:54:52.5304960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vientiane
2025-08-14T20:54:52.5305580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Shanghai
2025-08-14T20:54:52.5306240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulan_Bator
2025-08-14T20:54:52.5306830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aden
2025-08-14T20:54:52.5307470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Muscat
2025-08-14T20:54:52.5308120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Damascus
2025-08-14T20:54:52.5308750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jerusalem
2025-08-14T20:54:52.5310200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Brunei
2025-08-14T20:54:52.5310740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulaanbaatar
2025-08-14T20:54:52.5310880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Amman
2025-08-14T20:54:52.5311430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuching
2025-08-14T20:54:52.5312050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tel_Aviv
2025-08-14T20:54:52.5312710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Seoul
2025-08-14T20:54:52.5313270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Atyrau
2025-08-14T20:54:52.5314020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pyongyang
2025-08-14T20:54:52.5314500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hovd
2025-08-14T20:54:52.5315130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hebron
2025-08-14T20:54:52.5315790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuwait
2025-08-14T20:54:52.5316520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tomsk
2025-08-14T20:54:52.5317040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Manila
2025-08-14T20:54:52.5317660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chita
2025-08-14T20:54:52.5318340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Katmandu
2025-08-14T20:54:52.5319050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Gaza
2025-08-14T20:54:52.5320300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Samarkand
2025-08-14T20:54:52.5320420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Taipei
2025-08-14T20:54:52.5320950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tashkent
2025-08-14T20:54:52.5321650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yekaterinburg
2025-08-14T20:54:52.5322220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macau
2025-08-14T20:54:52.5322880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qyzylorda
2025-08-14T20:54:52.5323480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macao
2025-08-14T20:54:52.5324240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tokyo
2025-08-14T20:54:52.5324740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baku
2025-08-14T20:54:52.5325410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Barnaul
2025-08-14T20:54:52.5326030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Istanbul
2025-08-14T20:54:52.5326660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Irkutsk
2025-08-14T20:54:52.5327270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qatar
2025-08-14T20:54:52.5327900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bahrain
2025-08-14T20:54:52.5328530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yangon
2025-08-14T20:54:52.5329150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yerevan
2025-08-14T20:54:52.5329770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Almaty
2025-08-14T20:54:52.5330390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dili
2025-08-14T20:54:52.5331050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dacca
2025-08-14T20:54:52.5331700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chongqing
2025-08-14T20:54:52.5332320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ust-Nera
2025-08-14T20:54:52.5332950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Magadan
2025-08-14T20:54:52.5333580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Colombo
2025-08-14T20:54:52.5334280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Krasnoyarsk
2025-08-14T20:54:52.5334920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kamchatka
2025-08-14T20:54:52.5335600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ujung_Pandang
2025-08-14T20:54:52.5336260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jakarta
2025-08-14T20:54:52.5336890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kolkata
2025-08-14T20:54:52.5337570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kabul
2025-08-14T20:54:52.5338120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Oral
2025-08-14T20:54:52.5338770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jayapura
2025-08-14T20:54:52.5339420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pontianak
2025-08-14T20:54:52.5340060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Makassar
2025-08-14T20:54:52.5340680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tbilisi
2025-08-14T20:54:52.5341330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Singapore
2025-08-14T20:54:52.5342090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Harbin
2025-08-14T20:54:52.5342630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kashgar
2025-08-14T20:54:52.5343220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dhaka
2025-08-14T20:54:52.5343870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yakutsk
2025-08-14T20:54:52.5344530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuala_Lumpur
2025-08-14T20:54:52.5345190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tehran
2025-08-14T20:54:52.5345810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Beirut
2025-08-14T20:54:52.5346410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtobe
2025-08-14T20:54:52.5347040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Anadyr
2025-08-14T20:54:52.5347660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bishkek
2025-08-14T20:54:52.5348300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dubai
2025-08-14T20:54:52.5349110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Riyadh
2025-08-14T20:54:52.5350080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novokuznetsk
2025-08-14T20:54:52.5350840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtau
2025-08-14T20:54:52.5351660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Omsk
2025-08-14T20:54:52.5352610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashkhabad
2025-08-14T20:54:52.5353250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Saigon
2025-08-14T20:54:52.5354170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Sakhalin
2025-08-14T20:54:52.5354990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hong_Kong
2025-08-14T20:54:52.5355850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Phnom_Penh
2025-08-14T20:54:52.5356610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Nicosia
2025-08-14T20:54:52.5357630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baghdad
2025-08-14T20:54:52.5358540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Srednekolymsk
2025-08-14T20:54:52.5359420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashgabat
2025-08-14T20:54:52.5360250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kathmandu
2025-08-14T20:54:52.5361240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Choibalsan
2025-08-14T20:54:52.5361970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bangkok
2025-08-14T20:54:52.5362870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chungking
2025-08-14T20:54:52.5363580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novosibirsk
2025-08-14T20:54:52.5364460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Famagusta
2025-08-14T20:54:52.5365260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Rangoon
2025-08-14T20:54:52.5366190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ho_Chi_Minh
2025-08-14T20:54:52.5366910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MET
2025-08-14T20:54:52.5367590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Portugal
2025-08-14T20:54:52.5368550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Palmer
2025-08-14T20:54:52.5369410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Davis
2025-08-14T20:54:52.5370370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Rothera
2025-08-14T20:54:52.5371140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Vostok
2025-08-14T20:54:52.5371990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Syowa
2025-08-14T20:54:52.5373040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/DumontDUrville
2025-08-14T20:54:52.5373880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/McMurdo
2025-08-14T20:54:52.5374770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Macquarie
2025-08-14T20:54:52.5375690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/South_Pole
2025-08-14T20:54:52.5376510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Troll
2025-08-14T20:54:52.5377340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Mawson
2025-08-14T20:54:52.5378220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Casey
2025-08-14T20:54:52.5378970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT-0
2025-08-14T20:54:52.5379670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CET
2025-08-14T20:54:52.5380400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Eire
2025-08-14T20:54:52.5381180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PST8PDT
2025-08-14T20:54:52.5382100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leap-seconds.list
2025-08-14T20:54:52.5382760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Jamaica
2025-08-14T20:54:52.5383420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT
2025-08-14T20:54:52.5384210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Zulu
2025-08-14T20:54:52.5384910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Japan
2025-08-14T20:54:52.5385570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROC
2025-08-14T20:54:52.5386290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB-Eire
2025-08-14T20:54:52.5387120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zurich
2025-08-14T20:54:52.5388160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Paris
2025-08-14T20:54:52.5388940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Moscow
2025-08-14T20:54:52.5389810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Luxembourg
2025-08-14T20:54:52.5390570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ljubljana
2025-08-14T20:54:52.5391460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Helsinki
2025-08-14T20:54:52.5392290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Minsk
2025-08-14T20:54:52.5393300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Skopje
2025-08-14T20:54:52.5394040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Dublin
2025-08-14T20:54:52.5394960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Jersey
2025-08-14T20:54:52.5395850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/San_Marino
2025-08-14T20:54:52.5396870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Gibraltar
2025-08-14T20:54:52.5397490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belgrade
2025-08-14T20:54:52.5398290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Guernsey
2025-08-14T20:54:52.5399240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ulyanovsk
2025-08-14T20:54:52.5400090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Saratov
2025-08-14T20:54:52.5400960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vaduz
2025-08-14T20:54:52.5401760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Istanbul
2025-08-14T20:54:52.5402670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Lisbon
2025-08-14T20:54:52.5403560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Uzhgorod
2025-08-14T20:54:52.5404400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kirov
2025-08-14T20:54:52.5405330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tirane
2025-08-14T20:54:52.5406150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tiraspol
2025-08-14T20:54:52.5406950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sarajevo
2025-08-14T20:54:52.5407790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Madrid
2025-08-14T20:54:52.5408650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Podgorica
2025-08-14T20:54:52.5409480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Busingen
2025-08-14T20:54:52.5410320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vatican
2025-08-14T20:54:52.5411200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belfast
2025-08-14T20:54:52.5411720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bratislava
2025-08-14T20:54:52.5412300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kiev
2025-08-14T20:54:52.5413060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kaliningrad
2025-08-14T20:54:52.5413680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zaporozhye
2025-08-14T20:54:52.5414310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vienna
2025-08-14T20:54:52.5414970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Budapest
2025-08-14T20:54:52.5415660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vilnius
2025-08-14T20:54:52.5416600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Monaco
2025-08-14T20:54:52.5417000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Oslo
2025-08-14T20:54:52.5417610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Astrakhan
2025-08-14T20:54:52.5418310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Simferopol
2025-08-14T20:54:52.5419020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Volgograd
2025-08-14T20:54:52.5419640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kyiv
2025-08-14T20:54:52.5420360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Isle_of_Man
2025-08-14T20:54:52.5421010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/London
2025-08-14T20:54:52.5421570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Riga
2025-08-14T20:54:52.5422270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Andorra
2025-08-14T20:54:52.5422890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Prague
2025-08-14T20:54:52.5423510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Berlin
2025-08-14T20:54:52.5424180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tallinn
2025-08-14T20:54:52.5424790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Rome
2025-08-14T20:54:52.5425440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Malta
2025-08-14T20:54:52.5426090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zagreb
2025-08-14T20:54:52.5426760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Amsterdam
2025-08-14T20:54:52.5427400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Nicosia
2025-08-14T20:54:52.5428090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bucharest
2025-08-14T20:54:52.5429000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Copenhagen
2025-08-14T20:54:52.5429490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Chisinau
2025-08-14T20:54:52.5430160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Mariehamn
2025-08-14T20:54:52.5430770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sofia
2025-08-14T20:54:52.5431430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Athens
2025-08-14T20:54:52.5432100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Stockholm
2025-08-14T20:54:52.5432730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Samara
2025-08-14T20:54:52.5433380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Brussels
2025-08-14T20:54:52.5434070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Warsaw
2025-08-14T20:54:52.5434620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROK
2025-08-14T20:54:52.5435170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Navajo
2025-08-14T20:54:52.5435780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Singapore
2025-08-14T20:54:52.5436270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB
2025-08-14T20:54:52.5436990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaNorte
2025-08-14T20:54:52.5437620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/General
2025-08-14T20:54:52.5438280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaSur
2025-08-14T20:54:52.5438800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST
2025-08-14T20:54:52.5439340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT0
2025-08-14T20:54:52.5439950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Hongkong
2025-08-14T20:54:52.5440540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PRC
2025-08-14T20:54:52.5441110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone.tab
2025-08-14T20:54:52.5441690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iran
2025-08-14T20:54:52.5442420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/build/etc/localtime
2025-08-14T20:54:52.5442960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST7MDT
2025-08-14T20:54:52.5443500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/WET
2025-08-14T20:54:52.5444060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/W-SU
2025-08-14T20:54:52.5444610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UCT
2025-08-14T20:54:52.5445160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Cuba
2025-08-14T20:54:52.5445760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Egypt
2025-08-14T20:54:52.5446300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT+0
2025-08-14T20:54:52.5446930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/tzdata.zi
2025-08-14T20:54:52.5447440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EET
2025-08-14T20:54:52.5448110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Israel
2025-08-14T20:54:52.5448720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Sao_Tome
2025-08-14T20:54:52.5449380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Conakry
2025-08-14T20:54:52.5449980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dakar
2025-08-14T20:54:52.5450670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ndjamena
2025-08-14T20:54:52.5451340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Casablanca
2025-08-14T20:54:52.5451950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lome
2025-08-14T20:54:52.5452920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Algiers
2025-08-14T20:54:52.5453350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mogadishu
2025-08-14T20:54:52.5453980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lagos
2025-08-14T20:54:52.5454640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Brazzaville
2025-08-14T20:54:52.5455280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Timbuktu
2025-08-14T20:54:52.5455970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nouakchott
2025-08-14T20:54:52.5456640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maseru
2025-08-14T20:54:52.5457310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Libreville
2025-08-14T20:54:52.5457940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Harare
2025-08-14T20:54:52.5458850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Malabo
2025-08-14T20:54:52.5459290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bangui
2025-08-14T20:54:52.5459970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nairobi
2025-08-14T20:54:52.5460700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kinshasa
2025-08-14T20:54:52.5461350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Porto-Novo
2025-08-14T20:54:52.5461930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Cairo
2025-08-14T20:54:52.5462560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Douala
2025-08-14T20:54:52.5463170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Juba
2025-08-14T20:54:52.5463930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Gaborone
2025-08-14T20:54:52.5464710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tunis
2025-08-14T20:54:52.5465180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kampala
2025-08-14T20:54:52.5465800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mbabane
2025-08-14T20:54:52.5466540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Addis_Ababa
2025-08-14T20:54:52.5467180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maputo
2025-08-14T20:54:52.5467790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bissau
2025-08-14T20:54:52.5468450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Blantyre
2025-08-14T20:54:52.5469070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Niamey
2025-08-14T20:54:52.5469850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Banjul
2025-08-14T20:54:52.5470650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Abidjan
2025-08-14T20:54:52.5471050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmara
2025-08-14T20:54:52.5471710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bamako
2025-08-14T20:54:52.5472400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ouagadougou
2025-08-14T20:54:52.5473030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lusaka
2025-08-14T20:54:52.5473660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Luanda
2025-08-14T20:54:52.5474340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmera
2025-08-14T20:54:52.5475060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lubumbashi
2025-08-14T20:54:52.5475800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Accra
2025-08-14T20:54:52.5476390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Khartoum
2025-08-14T20:54:52.5476990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ceuta
2025-08-14T20:54:52.5477680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bujumbura
2025-08-14T20:54:52.5478340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Windhoek
2025-08-14T20:54:52.5479000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/El_Aaiun
2025-08-14T20:54:52.5479640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tripoli
2025-08-14T20:54:52.5480310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Monrovia
2025-08-14T20:54:52.5481010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dar_es_Salaam
2025-08-14T20:54:52.5481740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Johannesburg
2025-08-14T20:54:52.5482640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kigali
2025-08-14T20:54:52.5483100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Djibouti
2025-08-14T20:54:52.5483700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Freetown
2025-08-14T20:54:52.5484260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Factory
2025-08-14T20:54:52.5484780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UTC
2025-08-14T20:54:52.5485560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/EasterIsland
2025-08-14T20:54:52.5486190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/Continental
2025-08-14T20:54:52.5486700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/HST
2025-08-14T20:54:52.5487410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Atlantic
2025-08-14T20:54:52.5488200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Pacific
2025-08-14T20:54:52.5488760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Eastern
2025-08-14T20:54:52.5489420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Yukon
2025-08-14T20:54:52.5490070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Saskatchewan
2025-08-14T20:54:52.5490770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Newfoundland
2025-08-14T20:54:52.5491410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Central
2025-08-14T20:54:52.5492060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Mountain
2025-08-14T20:54:52.5492670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iceland
2025-08-14T20:54:52.5493360Z /opt/homebrew/Caskroom/miniconda/base/share/pkgconfig/nlohmann_json.pc
2025-08-14T20:54:52.5494190Z /opt/homebrew/Caskroom/miniconda/base/share/locale/en_US/LC_MESSAGES/mit-krb5.mo
2025-08-14T20:54:52.5495110Z /opt/homebrew/Caskroom/miniconda/base/share/locale/ka/LC_MESSAGES/mit-krb5.mo
2025-08-14T20:54:52.5495660Z /opt/homebrew/Caskroom/miniconda/base/share/locale/de/LC_MESSAGES/mit-krb5.mo
2025-08-14T20:54:52.5496590Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonTargets.cmake
2025-08-14T20:54:52.5497500Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfigVersion.cmake
2025-08-14T20:54:52.5498350Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfig.cmake
2025-08-14T20:54:52.5499200Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-targets.cmake
2025-08-14T20:54:52.5500190Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config-version.cmake
2025-08-14T20:54:52.5501150Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config.cmake
2025-08-14T20:54:52.5501670Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/Modules/FindLibSolv.cmake
2025-08-14T20:54:52.5502130Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt300
2025-08-14T20:54:52.5502670Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/std
2025-08-14T20:54:52.5503440Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt100
2025-08-14T20:54:52.5504090Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/stdcrt
2025-08-14T20:54:52.5504610Z /opt/homebrew/Caskroom/miniconda/base/share/info/libffi.info
2025-08-14T20:54:52.5505220Z /opt/homebrew/Caskroom/miniconda/base/share/info/readline.info
2025-08-14T20:54:52.5505840Z /opt/homebrew/Caskroom/miniconda/base/share/info/rluserman.info
2025-08-14T20:54:52.5506560Z /opt/homebrew/Caskroom/miniconda/base/share/info/history.info
2025-08-14T20:54:52.5507160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50-mono
2025-08-14T20:54:52.5507820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k
2025-08-14T20:54:52.5508420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232
2025-08-14T20:54:52.5509090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1-w
2025-08-14T20:54:52.5509730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2
2025-08-14T20:54:52.5510370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl1
2025-08-14T20:54:52.5510920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil
2025-08-14T20:54:52.5511610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv-ctxt
2025-08-14T20:54:52.5512230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40-rv
2025-08-14T20:54:52.5513030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc
2025-08-14T20:54:52.5513500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18
2025-08-14T20:54:52.5517460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-20
2025-08-14T20:54:52.5517670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-soroc
2025-08-14T20:54:52.5517790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att6386
2025-08-14T20:54:52.5517910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425
2025-08-14T20:54:52.5518040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-ctxt
2025-08-14T20:54:52.5518230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415+nl
2025-08-14T20:54:52.5518360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj830
2025-08-14T20:54:52.5518870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiw
2025-08-14T20:54:52.5519500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232w
2025-08-14T20:54:52.5520220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-16color
2025-08-14T20:54:52.5520870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-unk
2025-08-14T20:54:52.5521560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx2
2025-08-14T20:54:52.5522250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85e
2025-08-14T20:54:52.5522810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30
2025-08-14T20:54:52.5523440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-vm80
2025-08-14T20:54:52.5524180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv-nl
2025-08-14T20:54:52.5524740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+rv
2025-08-14T20:54:52.5525520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty+common
2025-08-14T20:54:52.5526290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-rv
2025-08-14T20:54:52.5526690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a210
2025-08-14T20:54:52.5527290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85
2025-08-14T20:54:52.5528000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis
2025-08-14T20:54:52.5528770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx3
2025-08-14T20:54:52.5529320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty
2025-08-14T20:54:52.5530050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415
2025-08-14T20:54:52.5530590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s
2025-08-14T20:54:52.5531320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mono
2025-08-14T20:54:52.5531940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+pp
2025-08-14T20:54:52.5532520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-28
2025-08-14T20:54:52.5533130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl
2025-08-14T20:54:52.5533870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s-rv
2025-08-14T20:54:52.5534360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att513
2025-08-14T20:54:52.5535100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424
2025-08-14T20:54:52.5535630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-ns
2025-08-14T20:54:52.5536240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-26
2025-08-14T20:54:52.5536950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510d
2025-08-14T20:54:52.5537510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ap-vm80
2025-08-14T20:54:52.5538200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k-w
2025-08-14T20:54:52.5538850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_19L
2025-08-14T20:54:52.5539480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w
2025-08-14T20:54:52.5540200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos3
2025-08-14T20:54:52.5540800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil-mono
2025-08-14T20:54:52.5541330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos4
2025-08-14T20:54:52.5542150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30-mono
2025-08-14T20:54:52.5542650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cpr
2025-08-14T20:54:52.5543300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv
2025-08-14T20:54:52.5543860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apl
2025-08-14T20:54:52.5544590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv
2025-08-14T20:54:52.5545360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-4
2025-08-14T20:54:52.5545790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-3
2025-08-14T20:54:52.5546420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620
2025-08-14T20:54:52.5547160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st
2025-08-14T20:54:52.5547700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aa4080
2025-08-14T20:54:52.5548330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-heath
2025-08-14T20:54:52.5548960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt2
2025-08-14T20:54:52.5549510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj
2025-08-14T20:54:52.5550090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt5
2025-08-14T20:54:52.5550820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-raw
2025-08-14T20:54:52.5551400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos5
2025-08-14T20:54:52.5552030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aas1901
2025-08-14T20:54:52.5552600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt
2025-08-14T20:54:52.5553170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/awsc
2025-08-14T20:54:52.5553790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-unk
2025-08-14T20:54:52.5554390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos2
2025-08-14T20:54:52.5555010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e
2025-08-14T20:54:52.5555680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424m
2025-08-14T20:54:52.5556250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+csr
2025-08-14T20:54:52.5556930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-generic
2025-08-14T20:54:52.5557610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsviewpoint
2025-08-14T20:54:52.5558230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s
2025-08-14T20:54:52.5558940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo+vt132
2025-08-14T20:54:52.5559570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt4
2025-08-14T20:54:52.5560130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w
2025-08-14T20:54:52.5560750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24-rv
2025-08-14T20:54:52.5561320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt3
2025-08-14T20:54:52.5561930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425
2025-08-14T20:54:52.5562530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630
2025-08-14T20:54:52.5563220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgr
2025-08-14T20:54:52.5563900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cup
2025-08-14T20:54:52.5564410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-2
2025-08-14T20:54:52.5565060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w
2025-08-14T20:54:52.5565670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv
2025-08-14T20:54:52.5566290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-ctxt
2025-08-14T20:54:52.5566860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt+s
2025-08-14T20:54:52.5567480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175
2025-08-14T20:54:52.5568110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-5
2025-08-14T20:54:52.5568700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219
2025-08-14T20:54:52.5569300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42
2025-08-14T20:54:52.5569950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-24
2025-08-14T20:54:52.5570580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv
2025-08-14T20:54:52.5571180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1a
2025-08-14T20:54:52.5571770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615
2025-08-14T20:54:52.5572440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-emx
2025-08-14T20:54:52.5573050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrbold
2025-08-14T20:54:52.5573700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrul
2025-08-14T20:54:52.5574270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm20
2025-08-14T20:54:52.5575000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60-mono
2025-08-14T20:54:52.5575720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k
2025-08-14T20:54:52.5576300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari
2025-08-14T20:54:52.5576970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-old
2025-08-14T20:54:52.5577600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiterm
2025-08-14T20:54:52.5578240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1
2025-08-14T20:54:52.5578790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm11
2025-08-14T20:54:52.5579460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418-w
2025-08-14T20:54:52.5580070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5430
2025-08-14T20:54:52.5580720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-ns
2025-08-14T20:54:52.5581350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrso
2025-08-14T20:54:52.5582040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi
2025-08-14T20:54:52.5582600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-22
2025-08-14T20:54:52.5583160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a80
2025-08-14T20:54:52.5583820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-pc
2025-08-14T20:54:52.5584400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm21
2025-08-14T20:54:52.5585050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-w
2025-08-14T20:54:52.5585690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42-ns
2025-08-14T20:54:52.5586280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca2
2025-08-14T20:54:52.5586970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att500
2025-08-14T20:54:52.5587490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100
2025-08-14T20:54:52.5588140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm5
2025-08-14T20:54:52.5588850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-8bit
2025-08-14T20:54:52.5589400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambassador
2025-08-14T20:54:52.5590000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm2
2025-08-14T20:54:52.5590580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2350
2025-08-14T20:54:52.5591320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-2-emx
2025-08-14T20:54:52.5591970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis-mono
2025-08-14T20:54:52.5592700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-3-emx
2025-08-14T20:54:52.5593310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-24
2025-08-14T20:54:52.5593920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoheath
2025-08-14T20:54:52.5594650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis0
2025-08-14T20:54:52.5595280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansisysk
2025-08-14T20:54:52.5595950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi43m
2025-08-14T20:54:52.5596530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418-w
2025-08-14T20:54:52.5597170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420+nl
2025-08-14T20:54:52.5597810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e-p
2025-08-14T20:54:52.5598450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_color
2025-08-14T20:54:52.5599090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-41
2025-08-14T20:54:52.5599710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1
2025-08-14T20:54:52.5600420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mtabs
2025-08-14T20:54:52.5601020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-nl
2025-08-14T20:54:52.5601580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3
2025-08-14T20:54:52.5602270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atarist-m
2025-08-14T20:54:52.5603140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k-w
2025-08-14T20:54:52.5603600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv
2025-08-14T20:54:52.5604220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrdim
2025-08-14T20:54:52.5604920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm-vb
2025-08-14T20:54:52.5605510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex80
2025-08-14T20:54:52.5606140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-24
2025-08-14T20:54:52.5606760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-w
2025-08-14T20:54:52.5607370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219
2025-08-14T20:54:52.5608070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addrinfo
2025-08-14T20:54:52.5608690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60
2025-08-14T20:54:52.5609320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25
2025-08-14T20:54:52.5609930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+dec
2025-08-14T20:54:52.5610550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex210
2025-08-14T20:54:52.5611180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219w
2025-08-14T20:54:52.5611810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-am
2025-08-14T20:54:52.5612440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-ns
2025-08-14T20:54:52.5613130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv-n
2025-08-14T20:54:52.5613840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-ae
2025-08-14T20:54:52.5614670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k-w
2025-08-14T20:54:52.5615180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+erase
2025-08-14T20:54:52.5616000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510a
2025-08-14T20:54:52.5616570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4426
2025-08-14T20:54:52.5617230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630-24
2025-08-14T20:54:52.5617850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoh19
2025-08-14T20:54:52.5618320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa
2025-08-14T20:54:52.5618880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24
2025-08-14T20:54:52.5619540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm
2025-08-14T20:54:52.5620420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rep
2025-08-14T20:54:52.5620930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv
2025-08-14T20:54:52.5621460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-h19
2025-08-14T20:54:52.5622150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv-ctxt
2025-08-14T20:54:52.5622800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st-color
2025-08-14T20:54:52.5623400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis
2025-08-14T20:54:52.5624000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm80
2025-08-14T20:54:52.5624660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50
2025-08-14T20:54:52.5625270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-w
2025-08-14T20:54:52.5625900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410
2025-08-14T20:54:52.5626610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m-old
2025-08-14T20:54:52.5627240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-nl
2025-08-14T20:54:52.5627920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7pc
2025-08-14T20:54:52.5628460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48
2025-08-14T20:54:52.5629110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc1
2025-08-14T20:54:52.5629760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+tabs
2025-08-14T20:54:52.5630390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleII
2025-08-14T20:54:52.5631220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty-direct
2025-08-14T20:54:52.5631710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj832
2025-08-14T20:54:52.5632360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local1
2025-08-14T20:54:52.5633020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h-old
2025-08-14T20:54:52.5634180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm+sl
2025-08-14T20:54:52.5634770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219w
2025-08-14T20:54:52.5635370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-m
2025-08-14T20:54:52.5635990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0+
2025-08-14T20:54:52.5636620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60
2025-08-14T20:54:52.5637390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424-1
2025-08-14T20:54:52.5637930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca
2025-08-14T20:54:52.5638640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4420
2025-08-14T20:54:52.5639160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418
2025-08-14T20:54:52.5639810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-22
2025-08-14T20:54:52.5640500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aepro
2025-08-14T20:54:52.5641050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-nl
2025-08-14T20:54:52.5641760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1-w
2025-08-14T20:54:52.5642520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-34
2025-08-14T20:54:52.5643140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv-n
2025-08-14T20:54:52.5643730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48-rv
2025-08-14T20:54:52.5644330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo
2025-08-14T20:54:52.5644980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mini
2025-08-14T20:54:52.5645550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40
2025-08-14T20:54:52.5646190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+enq
2025-08-14T20:54:52.5646800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h
2025-08-14T20:54:52.5647460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/annarbor4080
2025-08-14T20:54:52.5648100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-nt
2025-08-14T20:54:52.5648950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv
2025-08-14T20:54:52.5649370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv
2025-08-14T20:54:52.5650010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420
2025-08-14T20:54:52.5650560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi77
2025-08-14T20:54:52.5651170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mr
2025-08-14T20:54:52.5651810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418
2025-08-14T20:54:52.5652380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a
2025-08-14T20:54:52.5653100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43-mono
2025-08-14T20:54:52.5653700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-1
2025-08-14T20:54:52.5654610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-color
2025-08-14T20:54:52.5655100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-ctxt
2025-08-14T20:54:52.5655720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys
2025-08-14T20:54:52.5656290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-s
2025-08-14T20:54:52.5656890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7
2025-08-14T20:54:52.5657500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18-rv
2025-08-14T20:54:52.5658100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31
2025-08-14T20:54:52.5658810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-nl
2025-08-14T20:54:52.5659470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-s
2025-08-14T20:54:52.5660290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm36
2025-08-14T20:54:52.5660680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar
2025-08-14T20:54:52.5661310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga
2025-08-14T20:54:52.5661970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_15P
2025-08-14T20:54:52.5662480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7
2025-08-14T20:54:52.5663090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-s
2025-08-14T20:54:52.5663720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-41
2025-08-14T20:54:52.5664410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2-w
2025-08-14T20:54:52.5665020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-w
2025-08-14T20:54:52.5665590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605
2025-08-14T20:54:52.5666290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-dec-rv
2025-08-14T20:54:52.5666920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410
2025-08-14T20:54:52.5667520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7pc
2025-08-14T20:54:52.5668160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1178
2025-08-14T20:54:52.5668780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/absolute
2025-08-14T20:54:52.5669400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219
2025-08-14T20:54:52.5670000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at
2025-08-14T20:54:52.5670600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm+sgr
2025-08-14T20:54:52.5671210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-w
2025-08-14T20:54:52.5671860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s
2025-08-14T20:54:52.5672440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj510
2025-08-14T20:54:52.5673070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-24
2025-08-14T20:54:52.5673710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-232
2025-08-14T20:54:52.5674260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aws
2025-08-14T20:54:52.5674920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att7300
2025-08-14T20:54:52.5675520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a+
2025-08-14T20:54:52.5676150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0
2025-08-14T20:54:52.5676770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm12
2025-08-14T20:54:52.5677420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv
2025-08-14T20:54:52.5678060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r
2025-08-14T20:54:52.5678730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys-old
2025-08-14T20:54:52.5679310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a980
2025-08-14T20:54:52.5679920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620
2025-08-14T20:54:52.5680570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx
2025-08-14T20:54:52.5681200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sysk
2025-08-14T20:54:52.5681800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219w
2025-08-14T20:54:52.5682460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175-b
2025-08-14T20:54:52.5683190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-mono
2025-08-14T20:54:52.5683780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31-old
2025-08-14T20:54:52.5684500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar1
2025-08-14T20:54:52.5685020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-80
2025-08-14T20:54:52.5685610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-db
2025-08-14T20:54:52.5686250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-vnc
2025-08-14T20:54:52.5686950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv-nl
2025-08-14T20:54:52.5687510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm22
2025-08-14T20:54:52.5688120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610
2025-08-14T20:54:52.5688720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds980
2025-08-14T20:54:52.5689340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple80p
2025-08-14T20:54:52.5689990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410-w
2025-08-14T20:54:52.5690670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+inittabs
2025-08-14T20:54:52.5691290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local
2025-08-14T20:54:52.5692090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-nl
2025-08-14T20:54:52.5692550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aterm
2025-08-14T20:54:52.5693110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-m
2025-08-14T20:54:52.5693770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-w
2025-08-14T20:54:52.5694400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-w
2025-08-14T20:54:52.5695060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-ctxt
2025-08-14T20:54:52.5695650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2300
2025-08-14T20:54:52.5696270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-ns
2025-08-14T20:54:52.5696960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5310
2025-08-14T20:54:52.5697540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410-w
2025-08-14T20:54:52.5698170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36-rv
2025-08-14T20:54:52.5698750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act4
2025-08-14T20:54:52.5699420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-s
2025-08-14T20:54:52.5700050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m
2025-08-14T20:54:52.5700680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1
2025-08-14T20:54:52.5701690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-h
2025-08-14T20:54:52.5702180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k
2025-08-14T20:54:52.5702700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambas
2025-08-14T20:54:52.5703340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at386
2025-08-14T20:54:52.5703930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIe
2025-08-14T20:54:52.5704600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att700
2025-08-14T20:54:52.5705330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36
2025-08-14T20:54:52.5705880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv
2025-08-14T20:54:52.5706360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-wam
2025-08-14T20:54:52.5707120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act5
2025-08-14T20:54:52.5707810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIgs
2025-08-14T20:54:52.5708760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsvp60
2025-08-14T20:54:52.5708910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-s
2025-08-14T20:54:52.5709510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5320
2025-08-14T20:54:52.5710330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-ctxt
2025-08-14T20:54:52.5710930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+unk
2025-08-14T20:54:52.5711580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-m
2025-08-14T20:54:52.5712070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds200
2025-08-14T20:54:52.5712830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv-ct
2025-08-14T20:54:52.5713510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIc
2025-08-14T20:54:52.5714160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30
2025-08-14T20:54:52.5714950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-color
2025-08-14T20:54:52.5715680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730
2025-08-14T20:54:52.5716320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43
2025-08-14T20:54:52.5716960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-nl
2025-08-14T20:54:52.5717560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505
2025-08-14T20:54:52.5718050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+arrows
2025-08-14T20:54:52.5718800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm
2025-08-14T20:54:52.5719650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi-w
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2025-08-14T20:54:52.5721450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenixw
2025-08-14T20:54:52.5722030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco-p
2025-08-14T20:54:52.5722620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fox
2025-08-14T20:54:52.5723550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot
2025-08-14T20:54:52.5723940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom
2025-08-14T20:54:52.5724640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100
2025-08-14T20:54:52.5726050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fbterm
2025-08-14T20:54:52.5726210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom110
2025-08-14T20:54:52.5726370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14w
2025-08-14T20:54:52.5726980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-w
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2025-08-14T20:54:52.5728250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot+base
2025-08-14T20:54:52.5728870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fixterm
2025-08-14T20:54:52.5729540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom100
2025-08-14T20:54:52.5730140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200-w
2025-08-14T20:54:52.5730700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fos
2025-08-14T20:54:52.5731550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot-direct
2025-08-14T20:54:52.5731970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110
2025-08-14T20:54:52.5732580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenix
2025-08-14T20:54:52.5733650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco
2025-08-14T20:54:52.5734020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14
2025-08-14T20:54:52.5734510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom-rv
2025-08-14T20:54:52.5735130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100-rv
2025-08-14T20:54:52.5735800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom200
2025-08-14T20:54:52.5736390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720a
2025-08-14T20:54:52.5737020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fortune
2025-08-14T20:54:52.5737600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P4
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2025-08-14T20:54:52.5739330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M
2025-08-14T20:54:52.5739940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P5
2025-08-14T20:54:52.5740570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8-W
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2025-08-14T20:54:52.5741910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8-W
2025-08-14T20:54:52.5742370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M
2025-08-14T20:54:52.5742960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P7
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2025-08-14T20:54:52.5744760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M-W
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2025-08-14T20:54:52.5746860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14
2025-08-14T20:54:52.5747470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M-W
2025-08-14T20:54:52.5748190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12
2025-08-14T20:54:52.5748810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp236
2025-08-14T20:54:52.5749370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19us
2025-08-14T20:54:52.5749890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100
2025-08-14T20:54:52.5750520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nt
2025-08-14T20:54:52.5751200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx-p
2025-08-14T20:54:52.5751750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100
2025-08-14T20:54:52.5752380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19a
2025-08-14T20:54:52.5753080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624-10p
2025-08-14T20:54:52.5753820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19
2025-08-14T20:54:52.5754260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100
2025-08-14T20:54:52.5754920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621a-a
2025-08-14T20:54:52.5755620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640b
2025-08-14T20:54:52.5756170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-smul
2025-08-14T20:54:52.5756800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h80
2025-08-14T20:54:52.5757420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626p
2025-08-14T20:54:52.5758010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623a
2025-08-14T20:54:52.5758820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color
2025-08-14T20:54:52.5759310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex2
2025-08-14T20:54:52.5760050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645a
2025-08-14T20:54:52.5760590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-19
2025-08-14T20:54:52.5761280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm
2025-08-14T20:54:52.5761770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19g
2025-08-14T20:54:52.5762520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-u
2025-08-14T20:54:52.5763600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12
2025-08-14T20:54:52.5764080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp
2025-08-14T20:54:52.5764680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-g
2025-08-14T20:54:52.5765400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-x40
2025-08-14T20:54:52.5766100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color2
2025-08-14T20:54:52.5766850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit
2025-08-14T20:54:52.5767530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-bc
2025-08-14T20:54:52.5767990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-a
2025-08-14T20:54:52.5768750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx
2025-08-14T20:54:52.5769260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-bs
2025-08-14T20:54:52.5769910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092A
2025-08-14T20:54:52.5770530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-wl
2025-08-14T20:54:52.5771190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk-cr
2025-08-14T20:54:52.5771790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz2000
2025-08-14T20:54:52.5772600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a-color
2025-08-14T20:54:52.5773150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p
2025-08-14T20:54:52.5773780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550
2025-08-14T20:54:52.5774390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpsub
2025-08-14T20:54:52.5775160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+arrows
2025-08-14T20:54:52.5775760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+arrows
2025-08-14T20:54:52.5776450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621k45
2025-08-14T20:54:52.5777000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit-a
2025-08-14T20:54:52.5777700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550-color
2025-08-14T20:54:52.5778290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hds200
2025-08-14T20:54:52.5779090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1420
2025-08-14T20:54:52.5779560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2392
2025-08-14T20:54:52.5780210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100-w
2025-08-14T20:54:52.5780910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648
2025-08-14T20:54:52.5781430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c
2025-08-14T20:54:52.5782240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552
2025-08-14T20:54:52.5782630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2
2025-08-14T20:54:52.5783290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-bc
2025-08-14T20:54:52.5783910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+color
2025-08-14T20:54:52.5784820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-fl
2025-08-14T20:54:52.5785210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2641a
2025-08-14T20:54:52.5785810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/htx11
2025-08-14T20:54:52.5786460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a
2025-08-14T20:54:52.5787040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp262x
2025-08-14T20:54:52.5787690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624
2025-08-14T20:54:52.5788410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623
2025-08-14T20:54:52.5788960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p-a
2025-08-14T20:54:52.5789650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-k45
2025-08-14T20:54:52.5790340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b
2025-08-14T20:54:52.5790830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hazel
2025-08-14T20:54:52.5791540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648a
2025-08-14T20:54:52.5792120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a
2025-08-14T20:54:52.5792720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622
2025-08-14T20:54:52.5793320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9837
2025-08-14T20:54:52.5794020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p-p
2025-08-14T20:54:52.5794670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p
2025-08-14T20:54:52.5795340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpgeneric
2025-08-14T20:54:52.5795930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a
2025-08-14T20:54:52.5796520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1500
2025-08-14T20:54:52.5797160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19kermit
2025-08-14T20:54:52.5797750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-us
2025-08-14T20:54:52.5798380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-old
2025-08-14T20:54:52.5799000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700-wy
2025-08-14T20:54:52.5799600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9845
2025-08-14T20:54:52.5800240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nl
2025-08-14T20:54:52.5800810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex
2025-08-14T20:54:52.5801400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19k
2025-08-14T20:54:52.5802110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm-256color
2025-08-14T20:54:52.5802740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-uc
2025-08-14T20:54:52.5803380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+printer
2025-08-14T20:54:52.5803980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397a
2025-08-14T20:54:52.5804670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p
2025-08-14T20:54:52.5805270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1510
2025-08-14T20:54:52.5805960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-ba
2025-08-14T20:54:52.5806600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12x40
2025-08-14T20:54:52.5807170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/ha8675
2025-08-14T20:54:52.5807780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/ha8686
2025-08-14T20:54:52.5808390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640a
2025-08-14T20:54:52.5809110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520
2025-08-14T20:54:52.5809630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626a
2025-08-14T20:54:52.5810370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a-10p
2025-08-14T20:54:52.5810870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath
2025-08-14T20:54:52.5811540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c-old
2025-08-14T20:54:52.5812160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98720
2025-08-14T20:54:52.5812790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1000
2025-08-14T20:54:52.5813400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft
2025-08-14T20:54:52.5814000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382
2025-08-14T20:54:52.5814680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm
2025-08-14T20:54:52.5815210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpansi
2025-08-14T20:54:52.5815870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98721
2025-08-14T20:54:52.5816440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-b
2025-08-14T20:54:52.5817080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-a
2025-08-14T20:54:52.5817710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp45
2025-08-14T20:54:52.5818320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100bw
2025-08-14T20:54:52.5819040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520-noesc
2025-08-14T20:54:52.5819590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp110
2025-08-14T20:54:52.5820190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp300h
2025-08-14T20:54:52.5820790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/he80
2025-08-14T20:54:52.5821470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12-s
2025-08-14T20:54:52.5822030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397
2025-08-14T20:54:52.5822740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp150
2025-08-14T20:54:52.5823280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382a
2025-08-14T20:54:52.5823910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-48
2025-08-14T20:54:52.5824610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+cr
2025-08-14T20:54:52.5825260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-uc
2025-08-14T20:54:52.5825960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700
2025-08-14T20:54:52.5826480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-p
2025-08-14T20:54:52.5827080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100bw
2025-08-14T20:54:52.5827670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hurd
2025-08-14T20:54:52.5828330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092
2025-08-14T20:54:52.5829030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622a
2025-08-14T20:54:52.5829590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2644a
2025-08-14T20:54:52.5830180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645
2025-08-14T20:54:52.5831030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p-p
2025-08-14T20:54:52.5831500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-s
2025-08-14T20:54:52.5832120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627c
2025-08-14T20:54:52.5832770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552-rv
2025-08-14T20:54:52.5833370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626
2025-08-14T20:54:52.5834060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a-rev
2025-08-14T20:54:52.5834720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621
2025-08-14T20:54:52.5835260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b
2025-08-14T20:54:52.5835930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-ns
2025-08-14T20:54:52.5836630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hmod1
2025-08-14T20:54:52.5837150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621A
2025-08-14T20:54:52.5837860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+labels
2025-08-14T20:54:52.5838440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-p
2025-08-14T20:54:52.5839120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-ansi
2025-08-14T20:54:52.5839740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2647a
2025-08-14T20:54:52.5840370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35
2025-08-14T20:54:52.5841190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-100
2025-08-14T20:54:52.5841720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50
2025-08-14T20:54:52.5842360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o4112-nd
2025-08-14T20:54:52.5843080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-w
2025-08-14T20:54:52.5843610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oc100
2025-08-14T20:54:52.5844240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60
2025-08-14T20:54:52.5844920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35-w
2025-08-14T20:54:52.5845520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osexec
2025-08-14T20:54:52.5846110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o85h
2025-08-14T20:54:52.5851390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldibmpc3
2025-08-14T20:54:52.5851650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w
2025-08-14T20:54:52.5851800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-w
2025-08-14T20:54:52.5851940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-w-vt
2025-08-14T20:54:52.5852070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne
2025-08-14T20:54:52.5852250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldsun
2025-08-14T20:54:52.5852390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne1-w
2025-08-14T20:54:52.5852510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne-w
2025-08-14T20:54:52.5852620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/owl
2025-08-14T20:54:52.5852740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oconcept
2025-08-14T20:54:52.5853100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt
2025-08-14T20:54:52.5853640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60-nti
2025-08-14T20:54:52.5854240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/ofcons
2025-08-14T20:54:52.5854870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opus3n1+
2025-08-14T20:54:52.5855500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4112
2025-08-14T20:54:52.5856300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4115
2025-08-14T20:54:52.5856870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-100-nti
2025-08-14T20:54:52.5857640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-nti
2025-08-14T20:54:52.5858130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oblit
2025-08-14T20:54:52.5858760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4114
2025-08-14T20:54:52.5859410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4113
2025-08-14T20:54:52.5860290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-nti
2025-08-14T20:54:52.5860720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/o31
2025-08-14T20:54:52.5861400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oabm85h
2025-08-14T20:54:52.5861990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldpc3
2025-08-14T20:54:52.5862650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne1
2025-08-14T20:54:52.5863360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/omron
2025-08-14T20:54:52.5863970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-nti
2025-08-14T20:54:52.5864810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origpc3
2025-08-14T20:54:52.5865280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w-vt
2025-08-14T20:54:52.5866170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60-w
2025-08-14T20:54:52.5866620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origibmpc3
2025-08-14T20:54:52.5867540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/old-st
2025-08-14T20:54:52.5867840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/ojerq
2025-08-14T20:54:52.5868540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25
2025-08-14T20:54:52.5869140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35-nti
2025-08-14T20:54:52.5869740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/os9LII
2025-08-14T20:54:52.5870360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jfbterm
2025-08-14T20:54:52.5871030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jaixterm-m
2025-08-14T20:54:52.5871730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jerq
2025-08-14T20:54:52.5872230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6a/jaixterm
2025-08-14T20:54:52.5872820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621
2025-08-14T20:54:52.5873450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621-wl
2025-08-14T20:54:52.5874140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/32/2621A
2025-08-14T20:54:52.5874670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5051
2025-08-14T20:54:52.5875390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5410-w
2025-08-14T20:54:52.5875910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5630-24
2025-08-14T20:54:52.5876680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5630DMD-24
2025-08-14T20:54:52.5877190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/35/5620
2025-08-14T20:54:52.5877970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi
2025-08-14T20:54:52.5878580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iq140
2025-08-14T20:54:52.5879080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161
2025-08-14T20:54:52.5879760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertube2
2025-08-14T20:54:52.5880480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154-c
2025-08-14T20:54:52.5881010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm
2025-08-14T20:54:52.5881640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertube
2025-08-14T20:54:52.5882250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3151
2025-08-14T20:54:52.5882910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5051
2025-08-14T20:54:52.5883680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8604
2025-08-14T20:54:52.5884150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/infoton
2025-08-14T20:54:52.5884880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r-mono
2025-08-14T20:54:52.5885460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmaed
2025-08-14T20:54:52.5886030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc
2025-08-14T20:54:52.5886660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ips
2025-08-14T20:54:52.5887390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm327x
2025-08-14T20:54:52.5887890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibcs2
2025-08-14T20:54:52.5888590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i100
2025-08-14T20:54:52.5889180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmpel-c
2025-08-14T20:54:52.5889870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmega
2025-08-14T20:54:52.5890440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154
2025-08-14T20:54:52.5891050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm2.app
2025-08-14T20:54:52.5891850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-net
2025-08-14T20:54:52.5892440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/infoton2
2025-08-14T20:54:52.5893360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga-c
2025-08-14T20:54:52.5893980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+16color
2025-08-14T20:54:52.5894680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims-ansi
2025-08-14T20:54:52.5895260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-system1
2025-08-14T20:54:52.5895870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8c
2025-08-14T20:54:52.5896510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8503
2025-08-14T20:54:52.5897130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmega-c
2025-08-14T20:54:52.5897890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmx
2025-08-14T20:54:52.5898330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-pc
2025-08-14T20:54:52.5898980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext2
2025-08-14T20:54:52.5899690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5081
2025-08-14T20:54:52.5900280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8c-c
2025-08-14T20:54:52.5900820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ipsi
2025-08-14T20:54:52.5901430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3162
2025-08-14T20:54:52.5902130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-color
2025-08-14T20:54:52.5902860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-rv
2025-08-14T20:54:52.5903350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8512
2025-08-14T20:54:52.5903990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161-C
2025-08-14T20:54:52.5904620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iq120
2025-08-14T20:54:52.5905220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3163
2025-08-14T20:54:52.5906030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3164
2025-08-14T20:54:52.5906550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153-90
2025-08-14T20:54:52.5907250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8513
2025-08-14T20:54:52.5907790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5081-c
2025-08-14T20:54:52.5908520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris40
2025-08-14T20:54:52.5909060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514
2025-08-14T20:54:52.5909650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3101
2025-08-14T20:54:52.5910290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2
2025-08-14T20:54:52.5911170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153
2025-08-14T20:54:52.5911580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertec
2025-08-14T20:54:52.5912260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154
2025-08-14T20:54:52.5912760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r
2025-08-14T20:54:52.5913390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga
2025-08-14T20:54:52.5913990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6155
2025-08-14T20:54:52.5914640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-b
2025-08-14T20:54:52.5915300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix-nti
2025-08-14T20:54:52.5916100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmono
2025-08-14T20:54:52.5916580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8
2025-08-14T20:54:52.5917200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm.app
2025-08-14T20:54:52.5917810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404
2025-08-14T20:54:52.5918470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404-w
2025-08-14T20:54:52.5919150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2-direct
2025-08-14T20:54:52.5919820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3101
2025-08-14T20:54:52.5920350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext
2025-08-14T20:54:52.5921000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix
2025-08-14T20:54:52.5921600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3
2025-08-14T20:54:52.5922220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5151
2025-08-14T20:54:52.5922890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpcx
2025-08-14T20:54:52.5923560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+color
2025-08-14T20:54:52.5924150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3164
2025-08-14T20:54:52.5924730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6402
2025-08-14T20:54:52.5925320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ifmr
2025-08-14T20:54:52.5926030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i400
2025-08-14T20:54:52.5926590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8507
2025-08-14T20:54:52.5927220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950
2025-08-14T20:54:52.5927890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-ap
2025-08-14T20:54:52.5928620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa16
2025-08-14T20:54:52.5929160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-apl
2025-08-14T20:54:52.5929770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intextii
2025-08-14T20:54:52.5930530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514-c
2025-08-14T20:54:52.5931100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154-c
2025-08-14T20:54:52.5931850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153-40
2025-08-14T20:54:52.5932440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H
2025-08-14T20:54:52.5933060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q306-8-pc
2025-08-14T20:54:52.5933820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H-am
2025-08-14T20:54:52.5934550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w-am
2025-08-14T20:54:52.5935120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w
2025-08-14T20:54:52.5935880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-Hw
2025-08-14T20:54:52.5936430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm
2025-08-14T20:54:52.5937270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm-color2
2025-08-14T20:54:52.5937820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2012
2025-08-14T20:54:52.5938420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44
2025-08-14T20:54:52.5939150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+rv
2025-08-14T20:54:52.5939630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru
2025-08-14T20:54:52.5940230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator
2025-08-14T20:54:52.5940950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome+pcfkeys
2025-08-14T20:54:52.5941530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140
2025-08-14T20:54:52.5942180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-s
2025-08-14T20:54:52.5942790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-lp
2025-08-14T20:54:52.5943590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w-s
2025-08-14T20:54:52.5944080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gsi
2025-08-14T20:54:52.5944680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs6300
2025-08-14T20:54:52.5945430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52
2025-08-14T20:54:52.5945940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44-s
2025-08-14T20:54:52.5946710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh72
2025-08-14T20:54:52.5947210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-24
2025-08-14T20:54:52.5948010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh80
2025-08-14T20:54:52.5948590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+s
2025-08-14T20:54:52.5949150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-fc5
2025-08-14T20:54:52.5949790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-22
2025-08-14T20:54:52.5950390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt40
2025-08-14T20:54:52.5951010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go225
2025-08-14T20:54:52.5951670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-rv
2025-08-14T20:54:52.5952350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome
2025-08-14T20:54:52.5952910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2007
2025-08-14T20:54:52.5953500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gigi
2025-08-14T20:54:52.5954150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33
2025-08-14T20:54:52.5954820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2008
2025-08-14T20:54:52.5955530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-t
2025-08-14T20:54:52.5956060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos
2025-08-14T20:54:52.5956820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76
2025-08-14T20:54:52.5957360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/glasstty
2025-08-14T20:54:52.5958070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-256color
2025-08-14T20:54:52.5958770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430
2025-08-14T20:54:52.5959290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-rv
2025-08-14T20:54:52.5959920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-24
2025-08-14T20:54:52.5960560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+unk
2025-08-14T20:54:52.5961290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh90
2025-08-14T20:54:52.5961860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w
2025-08-14T20:54:52.5962510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-nctxt
2025-08-14T20:54:52.5963130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh62
2025-08-14T20:54:52.5963760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go-225
2025-08-14T20:54:52.5964380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100a
2025-08-14T20:54:52.5965020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100
2025-08-14T20:54:52.5965620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt42
2025-08-14T20:54:52.5966270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-s
2025-08-14T20:54:52.5967180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-lp
2025-08-14T20:54:52.5967580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140w
2025-08-14T20:54:52.5968250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos-30
2025-08-14T20:54:52.5968930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-s
2025-08-14T20:54:52.5969570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52t
2025-08-14T20:54:52.5970240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-wm
2025-08-14T20:54:52.5970830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4410-w
2025-08-14T20:54:52.5971490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4027ex
2025-08-14T20:54:52.5972090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4025ex
2025-08-14T20:54:52.5972700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/386at
2025-08-14T20:54:52.5973270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/3b1
2025-08-14T20:54:52.5974000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCR260VT300WPP
2025-08-14T20:54:52.5974630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCRVT100WPP
2025-08-14T20:54:52.5975310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-88color
2025-08-14T20:54:52.5975940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm
2025-08-14T20:54:52.5976600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-256color
2025-08-14T20:54:52.5977240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-color
2025-08-14T20:54:52.5978020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-nb
2025-08-14T20:54:52.5978540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scanset
2025-08-14T20:54:52.5979140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/swtp
2025-08-14T20:54:52.5979810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee-xsb
2025-08-14T20:54:52.5980450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek380
2025-08-14T20:54:52.5981110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-256color
2025-08-14T20:54:52.5981710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen5
2025-08-14T20:54:52.5982340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc140
2025-08-14T20:54:52.5983040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color
2025-08-14T20:54:52.5983630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen2
2025-08-14T20:54:52.5984230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-17
2025-08-14T20:54:52.5985040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty
2025-08-14T20:54:52.5985800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun
2025-08-14T20:54:52.5986250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-16color
2025-08-14T20:54:52.5986980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-256color
2025-08-14T20:54:52.5987530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen3
2025-08-14T20:54:52.5988160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen4
2025-08-14T20:54:52.5989020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole-256color
2025-08-14T20:54:52.5989460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/s4
2025-08-14T20:54:52.5990180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1
2025-08-14T20:54:52.5990930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce-s
2025-08-14T20:54:52.5991640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce
2025-08-14T20:54:52.5992420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel12-80
2025-08-14T20:54:52.5993200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee
2025-08-14T20:54:52.5993600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.7
2025-08-14T20:54:52.5994330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1b
2025-08-14T20:54:52.5994930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cgsix
2025-08-14T20:54:52.5995480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb3
2025-08-14T20:54:52.5996100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi
2025-08-14T20:54:52.5996810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole
2025-08-14T20:54:52.5997410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-m
2025-08-14T20:54:52.5998060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.6
2025-08-14T20:54:52.5998960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.rxvt
2025-08-14T20:54:52.5999400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-type4
2025-08-14T20:54:52.5999970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.8
2025-08-14T20:54:52.6000550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb2
2025-08-14T20:54:52.6001270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1b
2025-08-14T20:54:52.6001890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbeeic
2025-08-14T20:54:52.6002500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e-s
2025-08-14T20:54:52.6003180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cmd
2025-08-14T20:54:52.6003700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc
2025-08-14T20:54:52.6004390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.gnome
2025-08-14T20:54:52.6005130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-r6
2025-08-14T20:54:52.6005790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-s
2025-08-14T20:54:52.6006370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-c
2025-08-14T20:54:52.6007030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte
2025-08-14T20:54:52.6007580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sune
2025-08-14T20:54:52.6008350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1-nb
2025-08-14T20:54:52.6008990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-base
2025-08-14T20:54:52.6009710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.gnome
2025-08-14T20:54:52.6010400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m2
2025-08-14T20:54:52.6010980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun2
2025-08-14T20:54:52.6011630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-w
2025-08-14T20:54:52.6012660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-xfree86
2025-08-14T20:54:52.6013030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm
2025-08-14T20:54:52.6013670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-ss5
2025-08-14T20:54:52.6014250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e
2025-08-14T20:54:52.6014890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-nic
2025-08-14T20:54:52.6015680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm-256color
2025-08-14T20:54:52.6016360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.rxvt
2025-08-14T20:54:52.6016970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-34
2025-08-14T20:54:52.6017720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel2-80
2025-08-14T20:54:52.6018350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-direct
2025-08-14T20:54:52.6018960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simterm
2025-08-14T20:54:52.6019710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b
2025-08-14T20:54:52.6020300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc415
2025-08-14T20:54:52.6020870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sibo
2025-08-14T20:54:52.6021550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-old
2025-08-14T20:54:52.6022140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52
2025-08-14T20:54:52.6022870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-s
2025-08-14T20:54:52.6023680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.xterm-new
2025-08-14T20:54:52.6024510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st
2025-08-14T20:54:52.6025060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-color
2025-08-14T20:54:52.6025650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbobcat
2025-08-14T20:54:52.6026320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux
2025-08-14T20:54:52.6026900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-12
2025-08-14T20:54:52.6027700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce-s
2025-08-14T20:54:52.6028380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+italics
2025-08-14T20:54:52.6028950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-24
2025-08-14T20:54:52.6029680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m2
2025-08-14T20:54:52.6030410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.linux
2025-08-14T20:54:52.6031320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screwpoint
2025-08-14T20:54:52.6031640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc120
2025-08-14T20:54:52.6032220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-48
2025-08-14T20:54:52.6032890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simpleterm
2025-08-14T20:54:52.6033490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek
2025-08-14T20:54:52.6034090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrt
2025-08-14T20:54:52.6034690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen
2025-08-14T20:54:52.6035290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-il
2025-08-14T20:54:52.6035940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce
2025-08-14T20:54:52.6036510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbi
2025-08-14T20:54:52.6037100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb1
2025-08-14T20:54:52.6038140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-256color
2025-08-14T20:54:52.6038440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52
2025-08-14T20:54:52.6039050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrhp
2025-08-14T20:54:52.6039750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-16color
2025-08-14T20:54:52.6040410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-new
2025-08-14T20:54:52.6041050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbrain
2025-08-14T20:54:52.6041790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-s
2025-08-14T20:54:52.6042320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sv80
2025-08-14T20:54:52.6043040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm
2025-08-14T20:54:52.6043910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte-256color
2025-08-14T20:54:52.6044600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-256color
2025-08-14T20:54:52.6045500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.mrxvt
2025-08-14T20:54:52.6046220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-old
2025-08-14T20:54:52.6047240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.Eterm
2025-08-14T20:54:52.6048130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/spinwriter
2025-08-14T20:54:52.6048930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-s
2025-08-14T20:54:52.6049750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun1
2025-08-14T20:54:52.6050650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.teraterm
2025-08-14T20:54:52.6051680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.Eterm
2025-08-14T20:54:52.6052500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mrxvt
2025-08-14T20:54:52.6053460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce
2025-08-14T20:54:52.6053810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s
2025-08-14T20:54:52.6054430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52pc
2025-08-14T20:54:52.6055220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-80
2025-08-14T20:54:52.6055790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/system1
2025-08-14T20:54:52.6056510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1
2025-08-14T20:54:52.6057080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-1
2025-08-14T20:54:52.6057750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-color
2025-08-14T20:54:52.6058450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-new
2025-08-14T20:54:52.6059170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color
2025-08-14T20:54:52.6059810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+fkeys
2025-08-14T20:54:52.6060570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.konsole
2025-08-14T20:54:52.6061190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun+sl
2025-08-14T20:54:52.6061730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc410
2025-08-14T20:54:52.6062390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s-e
2025-08-14T20:54:52.6063090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1
2025-08-14T20:54:52.6063710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/securecrt
2025-08-14T20:54:52.6064310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424
2025-08-14T20:54:52.6064910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52
2025-08-14T20:54:52.6065870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-vb
2025-08-14T20:54:52.6066260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-s
2025-08-14T20:54:52.6066940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-2p
2025-08-14T20:54:52.6067560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-rv
2025-08-14T20:54:52.6068210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-15
2025-08-14T20:54:52.6068880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-1
2025-08-14T20:54:52.6069430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek
2025-08-14T20:54:52.6070110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926-8
2025-08-14T20:54:52.6070720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc
2025-08-14T20:54:52.6071370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb
2025-08-14T20:54:52.6071990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925-hi
2025-08-14T20:54:52.6072580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty33
2025-08-14T20:54:52.6073230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027-ex
2025-08-14T20:54:52.6073840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107
2025-08-14T20:54:52.6074500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928-8
2025-08-14T20:54:52.6075150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv
2025-08-14T20:54:52.6075810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-p
2025-08-14T20:54:52.6076840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-unk
2025-08-14T20:54:52.6077120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ttydmd
2025-08-14T20:54:52.6077780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-2p
2025-08-14T20:54:52.6078400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109
2025-08-14T20:54:52.6078990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty35
2025-08-14T20:54:52.6079690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-2p
2025-08-14T20:54:52.6080330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8-132
2025-08-14T20:54:52.6081010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-unk
2025-08-14T20:54:52.6081590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti931
2025-08-14T20:54:52.6082240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-vb
2025-08-14T20:54:52.6083100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425
2025-08-14T20:54:52.6083440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1p
2025-08-14T20:54:52.6084030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920
2025-08-14T20:54:52.6084680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-34
2025-08-14T20:54:52.6085310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi9065
2025-08-14T20:54:52.6085970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-2p
2025-08-14T20:54:52.6086620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-p
2025-08-14T20:54:52.6087340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+printer
2025-08-14T20:54:52.6088000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-2p
2025-08-14T20:54:52.6088620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t16
2025-08-14T20:54:52.6089160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c
2025-08-14T20:54:52.6089850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-vb
2025-08-14T20:54:52.6090450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tgtelnet
2025-08-14T20:54:52.6091130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk
2025-08-14T20:54:52.6091740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027
2025-08-14T20:54:52.6092420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology
2025-08-14T20:54:52.6093010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620
2025-08-14T20:54:52.6093690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-vb
2025-08-14T20:54:52.6094360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b+fn
2025-08-14T20:54:52.6095250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103-sna
2025-08-14T20:54:52.6095640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105-30
2025-08-14T20:54:52.6096300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2102-sna
2025-08-14T20:54:52.6096960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17-ws
2025-08-14T20:54:52.6097570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b
2025-08-14T20:54:52.6098210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc
2025-08-14T20:54:52.6098790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910
2025-08-14T20:54:52.6099450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb
2025-08-14T20:54:52.6100080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424-1
2025-08-14T20:54:52.6100630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t10
2025-08-14T20:54:52.6101330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk
2025-08-14T20:54:52.6101920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707
2025-08-14T20:54:52.6102480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi921
2025-08-14T20:54:52.6103070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti700
2025-08-14T20:54:52.6103700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4404
2025-08-14T20:54:52.6104340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p
2025-08-14T20:54:52.6104970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-2p
2025-08-14T20:54:52.6105590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken
2025-08-14T20:54:52.6106170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt52
2025-08-14T20:54:52.6106790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025a
2025-08-14T20:54:52.6107470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-p
2025-08-14T20:54:52.6108130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-2p
2025-08-14T20:54:52.6108780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1-w
2025-08-14T20:54:52.6109340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs2
2025-08-14T20:54:52.6110020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-2p
2025-08-14T20:54:52.6110620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950
2025-08-14T20:54:52.6111200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924
2025-08-14T20:54:52.6111800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-m
2025-08-14T20:54:52.6112440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-132
2025-08-14T20:54:52.6113100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-nl
2025-08-14T20:54:52.6113740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-w
2025-08-14T20:54:52.6114620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv
2025-08-14T20:54:52.6115040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-vb
2025-08-14T20:54:52.6115780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-vb
2025-08-14T20:54:52.6116310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-2p
2025-08-14T20:54:52.6116930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207
2025-08-14T20:54:52.6117610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.59
2025-08-14T20:54:52.6118230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912cc
2025-08-14T20:54:52.6118930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-unk
2025-08-14T20:54:52.6119500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3800
2025-08-14T20:54:52.6120210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-vb
2025-08-14T20:54:52.6120950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.0.0
2025-08-14T20:54:52.6121530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw100
2025-08-14T20:54:52.6122450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+dim
2025-08-14T20:54:52.6122880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet300
2025-08-14T20:54:52.6123490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2018
2025-08-14T20:54:52.6124110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703-w
2025-08-14T20:54:52.6124700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty43
2025-08-14T20:54:52.6125320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113
2025-08-14T20:54:52.6126020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-16color
2025-08-14T20:54:52.6126640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminator
2025-08-14T20:54:52.6127250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4114
2025-08-14T20:54:52.6127890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti_ansi
2025-08-14T20:54:52.6128560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-ctxt
2025-08-14T20:54:52.6129210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-nl
2025-08-14T20:54:52.6129800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teletec
2025-08-14T20:54:52.6130390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1p
2025-08-14T20:54:52.6131100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-unk
2025-08-14T20:54:52.6131770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-vb
2025-08-14T20:54:52.6132380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4125
2025-08-14T20:54:52.6133070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-4p
2025-08-14T20:54:52.6133630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100
2025-08-14T20:54:52.6134330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p
2025-08-14T20:54:52.6134960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410-w
2025-08-14T20:54:52.6135640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-p
2025-08-14T20:54:52.6136190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab
2025-08-14T20:54:52.6136810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707-w
2025-08-14T20:54:52.6137450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p
2025-08-14T20:54:52.6138070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-w
2025-08-14T20:54:52.6138740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-2p
2025-08-14T20:54:52.6139380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-34
2025-08-14T20:54:52.6140050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p
2025-08-14T20:54:52.6140660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4115
2025-08-14T20:54:52.6141400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-vb
2025-08-14T20:54:52.6142000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112
2025-08-14T20:54:52.6142630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet1200
2025-08-14T20:54:52.6143270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3700
2025-08-14T20:54:52.6143930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc+fkeys
2025-08-14T20:54:52.6144490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061f
2025-08-14T20:54:52.6145110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty37
2025-08-14T20:54:52.6145710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c
2025-08-14T20:54:52.6146310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061
2025-08-14T20:54:52.6146940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi803
2025-08-14T20:54:52.6147520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn1200
2025-08-14T20:54:52.6148200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8
2025-08-14T20:54:52.6149270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-unk
2025-08-14T20:54:52.6149580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt+fkeys
2025-08-14T20:54:52.6150180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-sp
2025-08-14T20:54:52.6150910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4420
2025-08-14T20:54:52.6151480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-mc
2025-08-14T20:54:52.6152330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424m
2025-08-14T20:54:52.6152850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105
2025-08-14T20:54:52.6153500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015-sm
2025-08-14T20:54:52.6155420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-mc
2025-08-14T20:54:52.6155570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet
2025-08-14T20:54:52.6155690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b
2025-08-14T20:54:52.6156050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w
2025-08-14T20:54:52.6156810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w-rv
2025-08-14T20:54:52.6157330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teleray
2025-08-14T20:54:52.6158190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trsII
2025-08-14T20:54:52.6158840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+vb
2025-08-14T20:54:52.6159540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-2p
2025-08-14T20:54:52.6160230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-p
2025-08-14T20:54:52.6160880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109brl
2025-08-14T20:54:52.6161460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4426
2025-08-14T20:54:52.6162130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p
2025-08-14T20:54:52.6162840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-2p
2025-08-14T20:54:52.6163520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv
2025-08-14T20:54:52.6164130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-5
2025-08-14T20:54:52.6164820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-256color
2025-08-14T20:54:52.6165430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi924
2025-08-14T20:54:52.6166160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv-nl
2025-08-14T20:54:52.6166760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8w
2025-08-14T20:54:52.6167460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-p
2025-08-14T20:54:52.6168060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w
2025-08-14T20:54:52.6168660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1
2025-08-14T20:54:52.6169330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-2p
2025-08-14T20:54:52.6170010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws-generic
2025-08-14T20:54:52.6170660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem6510
2025-08-14T20:54:52.6171480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm-256color
2025-08-14T20:54:52.6172050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-mc
2025-08-14T20:54:52.6172650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912
2025-08-14T20:54:52.6173430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm
2025-08-14T20:54:52.6173900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti733
2025-08-14T20:54:52.6174530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025
2025-08-14T20:54:52.6175210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+mc
2025-08-14T20:54:52.6175940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410
2025-08-14T20:54:52.6176430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92D
2025-08-14T20:54:52.6177140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-vb
2025-08-14T20:54:52.6177710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014
2025-08-14T20:54:52.6178370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt
2025-08-14T20:54:52.6179020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p
2025-08-14T20:54:52.6179650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4013
2025-08-14T20:54:52.6180230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970
2025-08-14T20:54:52.6181190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk
2025-08-14T20:54:52.6181900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi914
2025-08-14T20:54:52.6182710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti735
2025-08-14T20:54:52.6183510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux
2025-08-14T20:54:52.6184550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703
2025-08-14T20:54:52.6185310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925
2025-08-14T20:54:52.6186020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t653x
2025-08-14T20:54:52.6186970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-color
2025-08-14T20:54:52.6187690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs16
2025-08-14T20:54:52.6188470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4012
2025-08-14T20:54:52.6189290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420
2025-08-14T20:54:52.6190080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs80II
2025-08-14T20:54:52.6190960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015
2025-08-14T20:54:52.6191900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc
2025-08-14T20:54:52.6192640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p
2025-08-14T20:54:52.6193800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-unk
2025-08-14T20:54:52.6199280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132
2025-08-14T20:54:52.6199620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4023
2025-08-14T20:54:52.6200370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p
2025-08-14T20:54:52.6200680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem653
2025-08-14T20:54:52.6200990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4024
2025-08-14T20:54:52.6201350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-mc
2025-08-14T20:54:52.6201690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-hb
2025-08-14T20:54:52.6202010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92B
2025-08-14T20:54:52.6202340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk
2025-08-14T20:54:52.6202670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014-sm
2025-08-14T20:54:52.6203010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-nl
2025-08-14T20:54:52.6203340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916
2025-08-14T20:54:52.6203660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4205
2025-08-14T20:54:52.6204660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-p
2025-08-14T20:54:52.6205420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.97
2025-08-14T20:54:52.6206260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-cr
2025-08-14T20:54:52.6207080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-nd
2025-08-14T20:54:52.6207950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-mc
2025-08-14T20:54:52.6208890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-unk
2025-08-14T20:54:52.6209840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-direct
2025-08-14T20:54:52.6210790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-7
2025-08-14T20:54:52.6211800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107brl
2025-08-14T20:54:52.6212580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1
2025-08-14T20:54:52.6213240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926
2025-08-14T20:54:52.6214150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-2p
2025-08-14T20:54:52.6214810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924w
2025-08-14T20:54:52.6215550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn300
2025-08-14T20:54:52.6216250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955
2025-08-14T20:54:52.6217620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-4p
2025-08-14T20:54:52.6218520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928
2025-08-14T20:54:52.6219380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc
2025-08-14T20:54:52.6220280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb
2025-08-14T20:54:52.6221140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti745
2025-08-14T20:54:52.6221960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103
2025-08-14T20:54:52.6223140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-8
2025-08-14T20:54:52.6224050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-24
2025-08-14T20:54:52.6224930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1
2025-08-14T20:54:52.6225820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420+nl
2025-08-14T20:54:52.6226680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025ex
2025-08-14T20:54:52.6227550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-ex
2025-08-14T20:54:52.6228460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-mc
2025-08-14T20:54:52.6229370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-vb
2025-08-14T20:54:52.6230240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti800
2025-08-14T20:54:52.6231100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-vb
2025-08-14T20:54:52.6231470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv-n
2025-08-14T20:54:52.6231810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+2p
2025-08-14T20:54:52.6232140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty40
2025-08-14T20:54:52.6232460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-vb
2025-08-14T20:54:52.6232810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-2p
2025-08-14T20:54:52.6233140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc
2025-08-14T20:54:52.6233470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb
2025-08-14T20:54:52.6233770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt
2025-08-14T20:54:52.6234070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207-s
2025-08-14T20:54:52.6234400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-mc
2025-08-14T20:54:52.6234770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8
2025-08-14T20:54:52.6235470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm2.3
2025-08-14T20:54:52.6236300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-0.6.1
2025-08-14T20:54:52.6236840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910+
2025-08-14T20:54:52.6237460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvipt
2025-08-14T20:54:52.6238180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-mc
2025-08-14T20:54:52.6238820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/termite
2025-08-14T20:54:52.6239540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-unk
2025-08-14T20:54:52.6240130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105a
2025-08-14T20:54:52.6240800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-nd
2025-08-14T20:54:52.6241460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2022
2025-08-14T20:54:52.6242120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17
2025-08-14T20:54:52.6242800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-p
2025-08-14T20:54:52.6244010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4106brl
2025-08-14T20:54:52.6245020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.8.1
2025-08-14T20:54:52.6245960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tkterm
2025-08-14T20:54:52.6246810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4c/LFT-PC850
2025-08-14T20:54:52.6247690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb162
2025-08-14T20:54:52.6248540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb
2025-08-14T20:54:52.6249380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb204
2025-08-14T20:54:52.6250230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm
2025-08-14T20:54:52.6251060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultima2
2025-08-14T20:54:52.6252390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm49
2025-08-14T20:54:52.6253240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uts30
2025-08-14T20:54:52.6253800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultimaII
2025-08-14T20:54:52.6254110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unixpc
2025-08-14T20:54:52.6254410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unknown
2025-08-14T20:54:52.6254710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uwin
2025-08-14T20:54:52.6255010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rebus3180
2025-08-14T20:54:52.6255330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-w
2025-08-14T20:54:52.6255630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-xpm
2025-08-14T20:54:52.6255950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rtpc
2025-08-14T20:54:52.6256280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-16color
2025-08-14T20:54:52.6256660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin-native
2025-08-14T20:54:52.6257020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent200
2025-08-14T20:54:52.6257520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221
2025-08-14T20:54:52.6258180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-nam
2025-08-14T20:54:52.6258820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm
2025-08-14T20:54:52.6259500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-88color
2025-08-14T20:54:52.6260070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons
2025-08-14T20:54:52.6260800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin
2025-08-14T20:54:52.6261540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40
2025-08-14T20:54:52.6262080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent100
2025-08-14T20:54:52.6262730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent25
2025-08-14T20:54:52.6263270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt
2025-08-14T20:54:52.6264010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent60
2025-08-14T20:54:52.6264570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rca
2025-08-14T20:54:52.6265290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-color
2025-08-14T20:54:52.6265980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-256color
2025-08-14T20:54:52.6266620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221-w
2025-08-14T20:54:52.6267300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-basic
2025-08-14T20:54:52.6267960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons-color
2025-08-14T20:54:52.6268610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40+
2025-08-14T20:54:52.6269310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt+pcfkeys
2025-08-14T20:54:52.6269910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent
2025-08-14T20:54:52.6270570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent20
2025-08-14T20:54:52.6271260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt100
2025-08-14T20:54:52.6271890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm
2025-08-14T20:54:52.6272580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-direct
2025-08-14T20:54:52.6273230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-base
2025-08-14T20:54:52.6273880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr
2025-08-14T20:54:52.6274510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372-w
2025-08-14T20:54:52.6275200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-color
2025-08-14T20:54:52.6275970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt420pc
2025-08-14T20:54:52.6276540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kvt
2025-08-14T20:54:52.6277140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro
2025-08-14T20:54:52.6277940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole
2025-08-14T20:54:52.6278570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-solaris
2025-08-14T20:54:52.6279200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-linux
2025-08-14T20:54:52.6279770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/ktm
2025-08-14T20:54:52.6280540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr-dumb
2025-08-14T20:54:52.6281220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+common
2025-08-14T20:54:52.6281940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-16color
2025-08-14T20:54:52.6282500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/k45
2025-08-14T20:54:52.6283220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit-am
2025-08-14T20:54:52.6283860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds6402
2025-08-14T20:54:52.6284470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372
2025-08-14T20:54:52.6285130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+acs
2025-08-14T20:54:52.6285820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+setal
2025-08-14T20:54:52.6286550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole+pcfkeys
2025-08-14T20:54:52.6287230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf3x
2025-08-14T20:54:52.6287820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7ix
2025-08-14T20:54:52.6288570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-256color
2025-08-14T20:54:52.6289770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit
2025-08-14T20:54:52.6290700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty-direct
2025-08-14T20:54:52.6291600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7
2025-08-14T20:54:52.6292150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+color
2025-08-14T20:54:52.6292480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty
2025-08-14T20:54:52.6292960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-co
2025-08-14T20:54:52.6293300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+koi8acs
2025-08-14T20:54:52.6293760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr8
2025-08-14T20:54:52.6294460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf4x
2025-08-14T20:54:52.6295030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon
2025-08-14T20:54:52.6295670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro2
2025-08-14T20:54:52.6296260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon2
2025-08-14T20:54:52.6296870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/38/8510
2025-08-14T20:54:52.6297520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm
2025-08-14T20:54:52.6298760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc-nl
2025-08-14T20:54:52.6299150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60wpp
2025-08-14T20:54:52.6299670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build309
2025-08-14T20:54:52.6300710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517
2025-08-14T20:54:52.6301470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wpp
2025-08-14T20:54:52.6302610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w
2025-08-14T20:54:52.6303600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+pp
2025-08-14T20:54:52.6304510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28-a
2025-08-14T20:54:52.6305390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25
2025-08-14T20:54:52.6306290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-euc
2025-08-14T20:54:52.6307140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/next
2025-08-14T20:54:52.6308150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-511
2025-08-14T20:54:52.6309160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-s
2025-08-14T20:54:52.6310050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/netbsd6
2025-08-14T20:54:52.6311040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-w
2025-08-14T20:54:52.6311430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-nti
2025-08-14T20:54:52.6311780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-7
2025-08-14T20:54:52.6312330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build440
2025-08-14T20:54:52.6313550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100an
2025-08-14T20:54:52.6314160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt+sl
2025-08-14T20:54:52.6314870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100pp
2025-08-14T20:54:52.6315890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhpkeyboard
2025-08-14T20:54:52.6316950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-sjis
2025-08-14T20:54:52.6317900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vpwpp
2025-08-14T20:54:52.6318880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nxterm
2025-08-14T20:54:52.6319230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501
2025-08-14T20:54:52.6319680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisysk
2025-08-14T20:54:52.6320570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200an
2025-08-14T20:54:52.6321710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300pp
2025-08-14T20:54:52.6322400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325wpp
2025-08-14T20:54:52.6322900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vp+sl
2025-08-14T20:54:52.6323750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40
2025-08-14T20:54:52.6324900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-w
2025-08-14T20:54:52.6326320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350wpp
2025-08-14T20:54:52.6326700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wpp
2025-08-14T20:54:52.6327660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100
2025-08-14T20:54:52.6328240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220-8
2025-08-14T20:54:52.6329060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-a
2025-08-14T20:54:52.6329800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-o
2025-08-14T20:54:52.6331070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300an
2025-08-14T20:54:52.6331810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200pp
2025-08-14T20:54:52.6332470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wpp
2025-08-14T20:54:52.6333220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500
2025-08-14T20:54:52.6334110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-o
2025-08-14T20:54:52.6335280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-a
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2025-08-14T20:54:52.6336600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-o
2025-08-14T20:54:52.6337200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m
2025-08-14T20:54:52.6338080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc
2025-08-14T20:54:52.6338930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+s
2025-08-14T20:54:52.6339770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-nl
2025-08-14T20:54:52.6340840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-a
2025-08-14T20:54:52.6341570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c
2025-08-14T20:54:52.6342320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec5520
2025-08-14T20:54:52.6343250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325pp
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2025-08-14T20:54:52.6344650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-s
2025-08-14T20:54:52.6345460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-o
2025-08-14T20:54:52.6346180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31
2025-08-14T20:54:52.6347190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wan
2025-08-14T20:54:52.6348070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-o
2025-08-14T20:54:52.6349180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wan
2025-08-14T20:54:52.6350130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-old-unk
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2025-08-14T20:54:52.6352020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-acs
2025-08-14T20:54:52.6352800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+7
2025-08-14T20:54:52.6353900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build400
2025-08-14T20:54:52.6354400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-bce
2025-08-14T20:54:52.6355080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100an
2025-08-14T20:54:52.6355930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc-nl
2025-08-14T20:54:52.6356660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisys
2025-08-14T20:54:52.6357370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+acs
2025-08-14T20:54:52.6358200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w
2025-08-14T20:54:52.6359590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-acs
2025-08-14T20:54:52.6360600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-sjis
2025-08-14T20:54:52.6361710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m
2025-08-14T20:54:52.6362040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-acs
2025-08-14T20:54:52.6362370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518
2025-08-14T20:54:52.6362860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp511
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2025-08-14T20:54:52.6364320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517-w
2025-08-14T20:54:52.6365070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwan
2025-08-14T20:54:52.6365920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c-s
2025-08-14T20:54:52.6366640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s
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2025-08-14T20:54:52.6368220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c41
2025-08-14T20:54:52.6369030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517
2025-08-14T20:54:52.6369730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa
2025-08-14T20:54:52.6370900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-a
2025-08-14T20:54:52.6371560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intan
2025-08-14T20:54:52.6371960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhp
2025-08-14T20:54:52.6372740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-o
2025-08-14T20:54:52.6373520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s
2025-08-14T20:54:52.6374360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wan
2025-08-14T20:54:52.6375090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/n7900
2025-08-14T20:54:52.6375920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-sjis
2025-08-14T20:54:52.6376830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+wpp
2025-08-14T20:54:52.6377640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25
2025-08-14T20:54:52.6378500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nd9500
2025-08-14T20:54:52.6379280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-7
2025-08-14T20:54:52.6380070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m-s
2025-08-14T20:54:52.6380950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50
2025-08-14T20:54:52.6386780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build361
2025-08-14T20:54:52.6387140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vpwpp
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2025-08-14T20:54:52.6388140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7901
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2025-08-14T20:54:52.6388810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sysk
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2025-08-14T20:54:52.6395390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517-w
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2025-08-14T20:54:52.6398510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900
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2025-08-14T20:54:52.6403340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm33
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2025-08-14T20:54:52.6411170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m-ns
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2025-08-14T20:54:52.6413170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-nl
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2025-08-14T20:54:52.6414480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc
2025-08-14T20:54:52.6415210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-nti
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2025-08-14T20:54:52.6425890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c
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2025-08-14T20:54:52.6436660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900i
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2025-08-14T20:54:52.6439860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512
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2025-08-14T20:54:52.6445210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sys
2025-08-14T20:54:52.6446130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build326
2025-08-14T20:54:52.6447040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513-o
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2025-08-14T20:54:52.6449550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole
2025-08-14T20:54:52.6450450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build343
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2025-08-14T20:54:52.6454660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-w
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2025-08-14T20:54:52.6455860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64
2025-08-14T20:54:52.6456180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+italics
2025-08-14T20:54:52.6456500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ex155
2025-08-14T20:54:52.6456810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+sgr
2025-08-14T20:54:52.6457140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+strikeout
2025-08-14T20:54:52.6457510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-rv
2025-08-14T20:54:52.6458140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-vt52
2025-08-14T20:54:52.6459140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4000
2025-08-14T20:54:52.6460020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+index
2025-08-14T20:54:52.6460860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep48
2025-08-14T20:54:52.6461710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-glasstty
2025-08-14T20:54:52.6462610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emx-base
2025-08-14T20:54:52.6463480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+color
2025-08-14T20:54:52.6464320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep40
2025-08-14T20:54:52.6465120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4080
2025-08-14T20:54:52.6466370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-rv
2025-08-14T20:54:52.6467240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/env230
2025-08-14T20:54:52.6468040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-w
2025-08-14T20:54:52.6468380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/envision230
2025-08-14T20:54:52.6468700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ergo4000
2025-08-14T20:54:52.6469010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-ansi
2025-08-14T20:54:52.6469330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit-am
2025-08-14T20:54:52.6469630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emots
2025-08-14T20:54:52.6469930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit
2025-08-14T20:54:52.6470230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks
2025-08-14T20:54:52.6470520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm
2025-08-14T20:54:52.6470840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/exec80
2025-08-14T20:54:52.6471740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm-color
2025-08-14T20:54:52.6472810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510a
2025-08-14T20:54:52.6473700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w-rv
2025-08-14T20:54:52.6474580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8
2025-08-14T20:54:52.6475480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-nobold
2025-08-14T20:54:52.6476370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0
2025-08-14T20:54:52.6477180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/b-128
2025-08-14T20:54:52.6477980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300
2025-08-14T20:54:52.6478900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc
2025-08-14T20:54:52.6479780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc
2025-08-14T20:54:52.6481400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10rv
2025-08-14T20:54:52.6482220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bee
2025-08-14T20:54:52.6483070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-8rv
2025-08-14T20:54:52.6483900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh4
2025-08-14T20:54:52.6484870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehiveIIIm
2025-08-14T20:54:52.6485760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-m
2025-08-14T20:54:52.6486650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-rv
2025-08-14T20:54:52.6487580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bracketed+paste
2025-08-14T20:54:52.6488670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc
2025-08-14T20:54:52.6489020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10nv
2025-08-14T20:54:52.6489350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w
2025-08-14T20:54:52.6489690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8rv
2025-08-14T20:54:52.6490000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-rv
2025-08-14T20:54:52.6490310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basic4
2025-08-14T20:54:52.6490610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510d
2025-08-14T20:54:52.6490920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8w
2025-08-14T20:54:52.6491240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive
2025-08-14T20:54:52.6491540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w
2025-08-14T20:54:52.6491850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25nv
2025-08-14T20:54:52.6492150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0nv
2025-08-14T20:54:52.6492450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bantam
2025-08-14T20:54:52.6492860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bobcat
2025-08-14T20:54:52.6493170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10
2025-08-14T20:54:52.6493610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-rv
2025-08-14T20:54:52.6494370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh3m
2025-08-14T20:54:52.6495190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bitgraph
2025-08-14T20:54:52.6495940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-rv
2025-08-14T20:54:52.6496670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bterm
2025-08-14T20:54:52.6497880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-mono
2025-08-14T20:54:52.6498410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25rv
2025-08-14T20:54:52.6499190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0rv
2025-08-14T20:54:52.6499880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-sparc
2025-08-14T20:54:52.6500690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive4
2025-08-14T20:54:52.6501860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive3
2025-08-14T20:54:52.6502370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beterm
2025-08-14T20:54:52.6503130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basis
2025-08-14T20:54:52.6504020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/blit
2025-08-14T20:54:52.6504860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-ppc
2025-08-14T20:54:52.6505260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25
2025-08-14T20:54:52.6506130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w-rv
2025-08-14T20:54:52.6507170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w
2025-08-14T20:54:52.6507740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beacon
2025-08-14T20:54:52.6508900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr
2025-08-14T20:54:52.6509350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr-24
2025-08-14T20:54:52.6510370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-24
2025-08-14T20:54:52.6511090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41
2025-08-14T20:54:52.6511850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41r
2025-08-14T20:54:52.6512770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime314
2025-08-14T20:54:52.6513590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh
2025-08-14T20:54:52.6514440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227
2025-08-14T20:54:52.6515140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mouse-sun
2025-08-14T20:54:52.6515950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mai
2025-08-14T20:54:52.6516850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm-ansi
2025-08-14T20:54:52.6517190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt70
2025-08-14T20:54:52.6517880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod24
2025-08-14T20:54:52.6518560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime340
2025-08-14T20:54:52.6519280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph48
2025-08-14T20:54:52.6520070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgterm
2025-08-14T20:54:52.6520980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu-color
2025-08-14T20:54:52.6521940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227
2025-08-14T20:54:52.6522810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old
2025-08-14T20:54:52.6523320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty+common
2025-08-14T20:54:52.6524020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-fb
2025-08-14T20:54:52.6524710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp
2025-08-14T20:54:52.6525820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp2
2025-08-14T20:54:52.6526720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm
2025-08-14T20:54:52.6527330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2
2025-08-14T20:54:52.6528020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mvterm
2025-08-14T20:54:52.6529110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt-70
2025-08-14T20:54:52.6529770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old-am
2025-08-14T20:54:52.6530580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt-256color
2025-08-14T20:54:52.6531570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm2
2025-08-14T20:54:52.6532450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macintosh
2025-08-14T20:54:52.6532850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macterminal-w
2025-08-14T20:54:52.6533800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100
2025-08-14T20:54:52.6534380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu
2025-08-14T20:54:52.6535070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac-w
2025-08-14T20:54:52.6535600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm5
2025-08-14T20:54:52.6536420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/m2-nam
2025-08-14T20:54:52.6537250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227am
2025-08-14T20:54:52.6538130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm3
2025-08-14T20:54:52.6538600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-v
2025-08-14T20:54:52.6539580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a
2025-08-14T20:54:52.6540550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.7
2025-08-14T20:54:52.6540900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel2-80
2025-08-14T20:54:52.6541920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph2
2025-08-14T20:54:52.6542590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1-nb
2025-08-14T20:54:52.6543330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-hb
2025-08-14T20:54:52.6543980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227am
2025-08-14T20:54:52.6544680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimeii
2025-08-14T20:54:52.6545860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-80
2025-08-14T20:54:52.6546350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microbee
2025-08-14T20:54:52.6547160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh-256color
2025-08-14T20:54:52.6547920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-direct
2025-08-14T20:54:52.6548730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-linux
2025-08-14T20:54:52.6549570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit22714
2025-08-14T20:54:52.6550360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty-direct
2025-08-14T20:54:52.6551160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-sun
2025-08-14T20:54:52.6551740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac
2025-08-14T20:54:52.6552590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1
2025-08-14T20:54:52.6553440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgt
2025-08-14T20:54:52.6554210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-3ax
2025-08-14T20:54:52.6555310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-256color
2025-08-14T20:54:52.6556300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel12-80
2025-08-14T20:54:52.6556900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph
2025-08-14T20:54:52.6557570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr
2025-08-14T20:54:52.6558520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm
2025-08-14T20:54:52.6559430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm+pcfkeys
2025-08-14T20:54:52.6559840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp1
2025-08-14T20:54:52.6560890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-color
2025-08-14T20:54:52.6561420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime1
2025-08-14T20:54:52.6562330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm314
2025-08-14T20:54:52.6562840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3a
2025-08-14T20:54:52.6563590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm340
2025-08-14T20:54:52.6564330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt4520-rv
2025-08-14T20:54:52.6565380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/megatek
2025-08-14T20:54:52.6566040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2-nam
2025-08-14T20:54:52.6567020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-nb
2025-08-14T20:54:52.6567740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2
2025-08-14T20:54:52.6568690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mono-emx
2025-08-14T20:54:52.6569220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime
2025-08-14T20:54:52.6569940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk22714
2025-08-14T20:54:52.6570720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mdl110
2025-08-14T20:54:52.6571460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimei
2025-08-14T20:54:52.6572220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach
2025-08-14T20:54:52.6573280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-s
2025-08-14T20:54:52.6574450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.5
2025-08-14T20:54:52.6575310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microb
2025-08-14T20:54:52.6575820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/memhp
2025-08-14T20:54:52.6576660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty
2025-08-14T20:54:52.6577590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm
2025-08-14T20:54:52.6578080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100-color
2025-08-14T20:54:52.6578590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-3.0
2025-08-14T20:54:52.6579200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3ax
2025-08-14T20:54:52.6579840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100+
2025-08-14T20:54:52.6580450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/morphos
2025-08-14T20:54:52.6581060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel
2025-08-14T20:54:52.6581680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix
2025-08-14T20:54:52.6582240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod
2025-08-14T20:54:52.6582890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-bold
2025-08-14T20:54:52.6583540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b
2025-08-14T20:54:52.6584230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-terminal
2025-08-14T20:54:52.6584810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt
2025-08-14T20:54:52.6585500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt-utf8
2025-08-14T20:54:52.6586450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm-w
2025-08-14T20:54:52.6586780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux3.0
2025-08-14T20:54:52.6587460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+sfkeys
2025-08-14T20:54:52.6588040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m2
2025-08-14T20:54:52.6588890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna
2025-08-14T20:54:52.6589500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-lat
2025-08-14T20:54:52.6589990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna68k
2025-08-14T20:54:52.6590960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8r
2025-08-14T20:54:52.6591210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/la120
2025-08-14T20:54:52.6592200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft-pc850
2025-08-14T20:54:52.6592640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.2
2025-08-14T20:54:52.6593070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-s
2025-08-14T20:54:52.6594040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+decid
2025-08-14T20:54:52.6594360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm
2025-08-14T20:54:52.6595030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-16color
2025-08-14T20:54:52.6595590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03
2025-08-14T20:54:52.6596220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03-w
2025-08-14T20:54:52.6597120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-vt
2025-08-14T20:54:52.6597660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/layer
2025-08-14T20:54:52.6598160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-basic
2025-08-14T20:54:52.6598940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisa
2025-08-14T20:54:52.6599600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux
2025-08-14T20:54:52.6600200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1
2025-08-14T20:54:52.6600860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c-nc
2025-08-14T20:54:52.6601430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/liswb
2025-08-14T20:54:52.6602020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft
2025-08-14T20:54:52.6602950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1b
2025-08-14T20:54:52.6603330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6
2025-08-14T20:54:52.6608230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6.26
2025-08-14T20:54:52.6608580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c
2025-08-14T20:54:52.6608850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m
2025-08-14T20:54:52.6608980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-nic
2025-08-14T20:54:52.6609100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8
2025-08-14T20:54:52.6609220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lpr
2025-08-14T20:54:52.6609330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-w
2025-08-14T20:54:52.6609440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/9term
2025-08-14T20:54:52.6609560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-hb
2025-08-14T20:54:52.6609700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-4p
2025-08-14T20:54:52.6610560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coco3
2025-08-14T20:54:52.6610870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-6lpi
2025-08-14T20:54:52.6611420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx100
2025-08-14T20:54:52.6612040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c321
2025-08-14T20:54:52.6612620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit80
2025-08-14T20:54:52.6613520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50
2025-08-14T20:54:52.6613880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops-10
2025-08-14T20:54:52.6614530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept-avt
2025-08-14T20:54:52.6615150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r
2025-08-14T20:54:52.6616230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100-rv
2025-08-14T20:54:52.6616640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60
2025-08-14T20:54:52.6617030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci1
2025-08-14T20:54:52.6617660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coherent
2025-08-14T20:54:52.6618280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-2
2025-08-14T20:54:52.6618900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb83
2025-08-14T20:54:52.6619570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r
2025-08-14T20:54:52.6620160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbunix
2025-08-14T20:54:52.6621190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv
2025-08-14T20:54:52.6621620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-8p
2025-08-14T20:54:52.6622050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10-w
2025-08-14T20:54:52.6622650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1
2025-08-14T20:54:52.6623570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-3
2025-08-14T20:54:52.6624070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citc
2025-08-14T20:54:52.6624550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-8p
2025-08-14T20:54:52.6625240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w8p
2025-08-14T20:54:52.6625820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-ps
2025-08-14T20:54:52.6626450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-4p
2025-08-14T20:54:52.6627140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n132
2025-08-14T20:54:52.6627780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel320
2025-08-14T20:54:52.6628460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8r-m
2025-08-14T20:54:52.6629050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct82
2025-08-14T20:54:52.6629660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct8500
2025-08-14T20:54:52.6630650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops
2025-08-14T20:54:52.6631160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100
2025-08-14T20:54:52.6631580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel321
2025-08-14T20:54:52.6632500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-8lpi
2025-08-14T20:54:52.6633530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-m
2025-08-14T20:54:52.6633870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25w
2025-08-14T20:54:52.6634210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbblit
2025-08-14T20:54:52.6634730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108
2025-08-14T20:54:52.6635350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r
2025-08-14T20:54:52.6635920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ctrm
2025-08-14T20:54:52.6636590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-rv
2025-08-14T20:54:52.6637270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv-4p
2025-08-14T20:54:52.6637840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ci8510
2025-08-14T20:54:52.6638550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r-m
2025-08-14T20:54:52.6639230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso-m
2025-08-14T20:54:52.6639870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/commodore
2025-08-14T20:54:52.6640450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108
2025-08-14T20:54:52.6641050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43
2025-08-14T20:54:52.6641770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso8859
2025-08-14T20:54:52.6642350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101
2025-08-14T20:54:52.6643370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30-m
2025-08-14T20:54:52.6643670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1-m
2025-08-14T20:54:52.6644230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100
2025-08-14T20:54:52.6644830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc752
2025-08-14T20:54:52.6645440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit500
2025-08-14T20:54:52.6646640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc2
2025-08-14T20:54:52.6646990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cg7900
2025-08-14T20:54:52.6647330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinDBG
2025-08-14T20:54:52.6648260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/chromatics
2025-08-14T20:54:52.6648770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1-m
2025-08-14T20:54:52.6649260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/colorscan
2025-08-14T20:54:52.6650240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ca22851
2025-08-14T20:54:52.6650820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r
2025-08-14T20:54:52.6651180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721
2025-08-14T20:54:52.6651780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n
2025-08-14T20:54:52.6652650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc3
2025-08-14T20:54:52.6653170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w
2025-08-14T20:54:52.6654040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-8p
2025-08-14T20:54:52.6654310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10
2025-08-14T20:54:52.6654910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-m
2025-08-14T20:54:52.6655510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30
2025-08-14T20:54:52.6656140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept
2025-08-14T20:54:52.6656730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh
2025-08-14T20:54:52.6657420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-pica
2025-08-14T20:54:52.6658080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso
2025-08-14T20:54:52.6658690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel300
2025-08-14T20:54:52.6659390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-4p
2025-08-14T20:54:52.6659960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-4p
2025-08-14T20:54:52.6660710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-elite
2025-08-14T20:54:52.6661230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops10
2025-08-14T20:54:52.6662230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e
2025-08-14T20:54:52.6662520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel301
2025-08-14T20:54:52.6663140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-comp
2025-08-14T20:54:52.6663750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-m
2025-08-14T20:54:52.6664370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-1p
2025-08-14T20:54:52.6664980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv
2025-08-14T20:54:52.6665860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc456
2025-08-14T20:54:52.6666240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit-80
2025-08-14T20:54:52.6666890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso-m
2025-08-14T20:54:52.6667860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso-m
2025-08-14T20:54:52.6668130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx
2025-08-14T20:54:52.6669000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r
2025-08-14T20:54:52.6669470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-debian
2025-08-14T20:54:52.6670010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt
2025-08-14T20:54:52.6670650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w-8p
2025-08-14T20:54:52.6671290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43-m
2025-08-14T20:54:52.6672000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt-vt220
2025-08-14T20:54:52.6672770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721-esc
2025-08-14T20:54:52.6673700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinB19
2025-08-14T20:54:52.6674590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1-m
2025-08-14T20:54:52.6675570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/color_xterm
2025-08-14T20:54:52.6676830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1
2025-08-14T20:54:52.6677250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-prop
2025-08-14T20:54:52.6678260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r-m
2025-08-14T20:54:52.6679050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8-r
2025-08-14T20:54:52.6679700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c301
2025-08-14T20:54:52.6680370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb110
2025-08-14T20:54:52.6681240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso8859
2025-08-14T20:54:52.6682390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w-8
2025-08-14T20:54:52.6682860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r-m
2025-08-14T20:54:52.6683580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c300
2025-08-14T20:54:52.6684540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25
2025-08-14T20:54:52.6685030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwin
2025-08-14T20:54:52.6685990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721ll
2025-08-14T20:54:52.6686850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r-m
2025-08-14T20:54:52.6687500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c104
2025-08-14T20:54:52.6688200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc756
2025-08-14T20:54:52.6689050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-132
2025-08-14T20:54:52.6690320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r-m
2025-08-14T20:54:52.6690570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci
2025-08-14T20:54:52.6691550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108rv4p
2025-08-14T20:54:52.6692670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1
2025-08-14T20:54:52.6693230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/digilog
2025-08-14T20:54:52.6694010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-34
2025-08-14T20:54:52.6694770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80
2025-08-14T20:54:52.6695960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b-w
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2025-08-14T20:54:52.6697310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d132
2025-08-14T20:54:52.6697950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c
2025-08-14T20:54:52.6698710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-sna
2025-08-14T20:54:52.6699410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/delta
2025-08-14T20:54:52.6700170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-dg
2025-08-14T20:54:52.6701190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7103-sna
2025-08-14T20:54:52.6702020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix
2025-08-14T20:54:52.6702920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003-dumb
2025-08-14T20:54:52.6703660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b
2025-08-14T20:54:52.6704360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmchat
2025-08-14T20:54:52.6705580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48-m
2025-08-14T20:54:52.6706060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt220
2025-08-14T20:54:52.6707050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w-ccc
2025-08-14T20:54:52.6707770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3025
2025-08-14T20:54:52.6708750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+s
2025-08-14T20:54:52.6709170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw1
2025-08-14T20:54:52.6710220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix-25
2025-08-14T20:54:52.6710820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+25
2025-08-14T20:54:52.6711550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-w
2025-08-14T20:54:52.6712470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48-m
2025-08-14T20:54:52.6713450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt330
2025-08-14T20:54:52.6714010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-dg
2025-08-14T20:54:52.6714810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datapoint
2025-08-14T20:54:52.6715460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211
2025-08-14T20:54:52.6716210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462e-dg
2025-08-14T20:54:52.6717040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+
2025-08-14T20:54:52.6717760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-25
2025-08-14T20:54:52.6718470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80
2025-08-14T20:54:52.6719330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s-ccc
2025-08-14T20:54:52.6720070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220
2025-08-14T20:54:52.6720860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-w
2025-08-14T20:54:52.6721980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue80
2025-08-14T20:54:52.6722610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25
2025-08-14T20:54:52.6723010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb
2025-08-14T20:54:52.6724120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr-ccc
2025-08-14T20:54:52.6724590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-generic
2025-08-14T20:54:52.6725300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix-25
2025-08-14T20:54:52.6726470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003
2025-08-14T20:54:52.6727050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-25
2025-08-14T20:54:52.6728120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37-m
2025-08-14T20:54:52.6729140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+25
2025-08-14T20:54:52.6729690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1720
2025-08-14T20:54:52.6730370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470
2025-08-14T20:54:52.6731120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-s
2025-08-14T20:54:52.6732340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-s
2025-08-14T20:54:52.6732890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decpro
2025-08-14T20:54:52.6733760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210
2025-08-14T20:54:52.6734640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datagraphix
2025-08-14T20:54:52.6735500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-dg
2025-08-14T20:54:52.6736370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-sr
2025-08-14T20:54:52.6737220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25-m
2025-08-14T20:54:52.6737990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b-w
2025-08-14T20:54:52.6738860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-ccc
2025-08-14T20:54:52.6739840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr
2025-08-14T20:54:52.6740780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt340
2025-08-14T20:54:52.6741370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80w
2025-08-14T20:54:52.6742210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb-emacs-ansi
2025-08-14T20:54:52.6743140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80w
2025-08-14T20:54:52.6743870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-dg
2025-08-14T20:54:52.6745190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+11
2025-08-14T20:54:52.6745860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datamedia2500
2025-08-14T20:54:52.6746640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtc382
2025-08-14T20:54:52.6747280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-w
2025-08-14T20:54:52.6748060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-old
2025-08-14T20:54:52.6749120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m
2025-08-14T20:54:52.6749710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix
2025-08-14T20:54:52.6750420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-dg
2025-08-14T20:54:52.6751410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b-w
2025-08-14T20:54:52.6752370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s
2025-08-14T20:54:52.6753500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr
2025-08-14T20:54:52.6753920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color8
2025-08-14T20:54:52.6754520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp
2025-08-14T20:54:52.6755250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37
2025-08-14T20:54:52.6755660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-dg
2025-08-14T20:54:52.6756350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-25
2025-08-14T20:54:52.6756930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr3180
2025-08-14T20:54:52.6757540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+7b
2025-08-14T20:54:52.6758180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-dg
2025-08-14T20:54:52.6758840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg-ccc
2025-08-14T20:54:52.6759700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr-ccc
2025-08-14T20:54:52.6760180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400
2025-08-14T20:54:52.6760760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-dg
2025-08-14T20:54:52.6761370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+sr
2025-08-14T20:54:52.6762000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-b
2025-08-14T20:54:52.6762710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-sr
2025-08-14T20:54:52.6763370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color8
2025-08-14T20:54:52.6763980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix
2025-08-14T20:54:52.6764580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt110
2025-08-14T20:54:52.6765400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-ccc
2025-08-14T20:54:52.6765890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-ansi
2025-08-14T20:54:52.6766510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+fixed
2025-08-14T20:54:52.6767070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd
2025-08-14T20:54:52.6767710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100w
2025-08-14T20:54:52.6768350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640
2025-08-14T20:54:52.6769030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40
2025-08-14T20:54:52.6769660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-dg
2025-08-14T20:54:52.6770330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dataspeed40
2025-08-14T20:54:52.6770910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+w
2025-08-14T20:54:52.6771790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dd5000
2025-08-14T20:54:52.6772180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt400
2025-08-14T20:54:52.6772800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp3360
2025-08-14T20:54:52.6773750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053-old
2025-08-14T20:54:52.6774420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg210
2025-08-14T20:54:52.6775370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64-m
2025-08-14T20:54:52.6776170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-s
2025-08-14T20:54:52.6777210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48
2025-08-14T20:54:52.6777940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64
2025-08-14T20:54:52.6778620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmterm
2025-08-14T20:54:52.6779340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+
2025-08-14T20:54:52.6780170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo-lm
2025-08-14T20:54:52.6781210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decansi
2025-08-14T20:54:52.6782040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b-w
2025-08-14T20:54:52.6783000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w
2025-08-14T20:54:52.6783800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+25
2025-08-14T20:54:52.6784630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-b
2025-08-14T20:54:52.6785530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix
2025-08-14T20:54:52.6786260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-7b
2025-08-14T20:54:52.6787030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+sr
2025-08-14T20:54:52.6787750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40-2
2025-08-14T20:54:52.6788560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg211
2025-08-14T20:54:52.6789700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80w
2025-08-14T20:54:52.6790270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-dg
2025-08-14T20:54:52.6791170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-w
2025-08-14T20:54:52.6791970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-w
2025-08-14T20:54:52.6792820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c-dg
2025-08-14T20:54:52.6793420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d80
2025-08-14T20:54:52.6794240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw3
2025-08-14T20:54:52.6795020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30
2025-08-14T20:54:52.6795830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100
2025-08-14T20:54:52.6796560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+ccc
2025-08-14T20:54:52.6797190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw4
2025-08-14T20:54:52.6798040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk-vt
2025-08-14T20:54:52.6798760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-dg
2025-08-14T20:54:52.6799680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30-m
2025-08-14T20:54:52.6800540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+fixed
2025-08-14T20:54:52.6801280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue
2025-08-14T20:54:52.6802260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-dg
2025-08-14T20:54:52.6803130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg450
2025-08-14T20:54:52.6803890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555
2025-08-14T20:54:52.6804630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-dg
2025-08-14T20:54:52.6805740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3045
2025-08-14T20:54:52.6806250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1520
2025-08-14T20:54:52.6807110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decwriter
2025-08-14T20:54:52.6808120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37
2025-08-14T20:54:52.6808810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30
2025-08-14T20:54:52.6809710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-w
2025-08-14T20:54:52.6810630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm2500
2025-08-14T20:54:52.6811350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix
2025-08-14T20:54:52.6812230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-7b
2025-08-14T20:54:52.6813080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+
2025-08-14T20:54:52.6813940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-7b
2025-08-14T20:54:52.6814880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620-m8
2025-08-14T20:54:52.6815810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80-sas
2025-08-14T20:54:52.6816920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+w
2025-08-14T20:54:52.6817440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450-dg
2025-08-14T20:54:52.6818300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-sr
2025-08-14T20:54:52.6819230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75
2025-08-14T20:54:52.6820050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96
2025-08-14T20:54:52.6820860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw2
2025-08-14T20:54:52.6821710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg605x
2025-08-14T20:54:52.6822640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75-m
2025-08-14T20:54:52.6823660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color
2025-08-14T20:54:52.6824320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2-dg
2025-08-14T20:54:52.6825120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-dg
2025-08-14T20:54:52.6825890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd1
2025-08-14T20:54:52.6826750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1521
2025-08-14T20:54:52.6827860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25-ccc
2025-08-14T20:54:52.6828720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk
2025-08-14T20:54:52.6829410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053
2025-08-14T20:54:52.6830530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40-m
2025-08-14T20:54:52.6831260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo
2025-08-14T20:54:52.6832070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-7b
2025-08-14T20:54:52.6832880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg200
2025-08-14T20:54:52.6833770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color
2025-08-14T20:54:52.6834710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-25
2025-08-14T20:54:52.6835510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtterm
2025-08-14T20:54:52.6836390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64
2025-08-14T20:54:52.6837280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm-256color
2025-08-14T20:54:52.6838420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp8242
2025-08-14T20:54:52.6838840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400-dg
2025-08-14T20:54:52.6839760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410
2025-08-14T20:54:52.6840400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-sr
2025-08-14T20:54:52.6841390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740
2025-08-14T20:54:52.6842350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37-m
2025-08-14T20:54:52.6843290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-s
2025-08-14T20:54:52.6844150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-dg
2025-08-14T20:54:52.6845000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+dg
2025-08-14T20:54:52.6845980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215
2025-08-14T20:54:52.6846770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-25
2025-08-14T20:54:52.6847500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100
2025-08-14T20:54:52.6848310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix
2025-08-14T20:54:52.6849200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+pp
2025-08-14T20:54:52.6850060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-s
2025-08-14T20:54:52.6850800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411
2025-08-14T20:54:52.6851660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix
2025-08-14T20:54:52.6852550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-m8
2025-08-14T20:54:52.6853380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2
2025-08-14T20:54:52.6854310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+
2025-08-14T20:54:52.6855080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw
2025-08-14T20:54:52.6855850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-dg
2025-08-14T20:54:52.6856540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm
2025-08-14T20:54:52.6857510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg
2025-08-14T20:54:52.6858320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+sl
2025-08-14T20:54:52.6859130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7202
2025-08-14T20:54:52.6860120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96-m
2025-08-14T20:54:52.6861010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-w
2025-08-14T20:54:52.6861820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-w
2025-08-14T20:54:52.6862590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-w
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2025-08-14T20:54:52.6864350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+ccc
2025-08-14T20:54:52.6865120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-7b
2025-08-14T20:54:52.6866070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt100
2025-08-14T20:54:52.6866670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214
2025-08-14T20:54:52.6867680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo630
2025-08-14T20:54:52.6868580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix
2025-08-14T20:54:52.6869330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d800
2025-08-14T20:54:52.6870170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100w
2025-08-14T20:54:52.6870900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+dg
2025-08-14T20:54:52.6871650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460
2025-08-14T20:54:52.6872620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1730
2025-08-14T20:54:52.6873360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200
2025-08-14T20:54:52.6874070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr
2025-08-14T20:54:52.6874950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-sr
2025-08-14T20:54:52.6875730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w
2025-08-14T20:54:52.6876630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f2
2025-08-14T20:54:52.6877390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin
2025-08-14T20:54:52.6878230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-dg
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2025-08-14T20:54:52.6879850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp203
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2025-08-14T20:54:52.6882540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6134
2025-08-14T20:54:52.6883400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b
2025-08-14T20:54:52.6884160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80
2025-08-14T20:54:52.6885000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-25
2025-08-14T20:54:52.6886180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w-ccc
2025-08-14T20:54:52.6887240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+15
2025-08-14T20:54:52.6887780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b-w
2025-08-14T20:54:52.6888670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450
2025-08-14T20:54:52.6889440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f
2025-08-14T20:54:52.6890360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30-m
2025-08-14T20:54:52.6890980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b
2025-08-14T20:54:52.6891590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg100
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2025-08-14T20:54:52.6893460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-lm
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2025-08-14T20:54:52.6895320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-dg
2025-08-14T20:54:52.6895990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+8b
2025-08-14T20:54:52.6896620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo450
2025-08-14T20:54:52.6897260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-7b
2025-08-14T20:54:52.6897890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/domterm
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2025-08-14T20:54:52.6899150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix
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2025-08-14T20:54:52.6900460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-unix
2025-08-14T20:54:52.6901130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25
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2025-08-14T20:54:52.6904460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64-m
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2025-08-14T20:54:52.6906570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtc300s
2025-08-14T20:54:52.6907240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg460-ansi
2025-08-14T20:54:52.6907890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-w
2025-08-14T20:54:52.6908480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40
2025-08-14T20:54:52.6909120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+dg
2025-08-14T20:54:52.6910000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214-dg
2025-08-14T20:54:52.6910360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-dg
2025-08-14T20:54:52.6911080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740-lm
2025-08-14T20:54:52.6911640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+s
2025-08-14T20:54:52.6912290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decid+cpr
2025-08-14T20:54:52.6912920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-24
2025-08-14T20:54:52.6913630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f2
2025-08-14T20:54:52.6914320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s-ccc
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2025-08-14T20:54:52.6915620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620
2025-08-14T20:54:52.6916230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200-dg
2025-08-14T20:54:52.6916810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577
2025-08-14T20:54:52.6917490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-sr
2025-08-14T20:54:52.6918140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210-dg
2025-08-14T20:54:52.6918810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s
2025-08-14T20:54:52.6919450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f
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2025-08-14T20:54:52.6921990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102
2025-08-14T20:54:52.6922710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/41/Apple_Terminal
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2025-08-14T20:54:52.6959940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-wvb
2025-08-14T20:54:52.6960610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-epc
2025-08-14T20:54:52.6961250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-vb
2025-08-14T20:54:52.6961850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60
2025-08-14T20:54:52.6962510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-25
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2025-08-14T20:54:52.6963760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25
2025-08-14T20:54:52.6964400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-vb
2025-08-14T20:54:52.6965020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150
2025-08-14T20:54:52.6965690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43
2025-08-14T20:54:52.6966280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wrenw
2025-08-14T20:54:52.6966970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-42w-vb
2025-08-14T20:54:52.6967580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75
2025-08-14T20:54:52.6968190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75ap
2025-08-14T20:54:52.6968850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-wvb
2025-08-14T20:54:52.6969520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-w
2025-08-14T20:54:52.6970170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-43-w
2025-08-14T20:54:52.6970810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-vb
2025-08-14T20:54:52.6971410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185
2025-08-14T20:54:52.6972070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-42
2025-08-14T20:54:52.6972730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-w
2025-08-14T20:54:52.6973360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-316X
2025-08-14T20:54:52.6973970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160
2025-08-14T20:54:52.6974640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-vb
2025-08-14T20:54:52.6975250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25m
2025-08-14T20:54:52.6975900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36w
2025-08-14T20:54:52.6976580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w-vb
2025-08-14T20:54:52.6977210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgt
2025-08-14T20:54:52.6977890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-wvb
2025-08-14T20:54:52.6978550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-vb
2025-08-14T20:54:52.6979130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50
2025-08-14T20:54:52.6979750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-25
2025-08-14T20:54:52.6980400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-w
2025-08-14T20:54:52.6981030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-PC
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2025-08-14T20:54:52.6982330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-vb
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2025-08-14T20:54:52.6983670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-80
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2025-08-14T20:54:52.6986260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-w-vb
2025-08-14T20:54:52.6986870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fa
2025-08-14T20:54:52.6987440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wren
2025-08-14T20:54:52.6988100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-vb
2025-08-14T20:54:52.6988800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-24
2025-08-14T20:54:52.6989430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-wvb
2025-08-14T20:54:52.6990030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy100q
2025-08-14T20:54:52.6990730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-wvb
2025-08-14T20:54:52.6991360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-75ap
2025-08-14T20:54:52.6991950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60
2025-08-14T20:54:52.6992600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc
2025-08-14T20:54:52.6993280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-vb
2025-08-14T20:54:52.6993910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43
2025-08-14T20:54:52.6994580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36pc
2025-08-14T20:54:52.6995250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36wpc
2025-08-14T20:54:52.6995840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsiris
2025-08-14T20:54:52.7000590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-w-vb
2025-08-14T20:54:52.7000920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-wvb
2025-08-14T20:54:52.7001050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-vb
2025-08-14T20:54:52.7001890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-75ap
2025-08-14T20:54:52.7002020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-w
2025-08-14T20:54:52.7002140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-42
2025-08-14T20:54:52.7002260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-vb
2025-08-14T20:54:52.7002380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-w
2025-08-14T20:54:52.7002500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt
2025-08-14T20:54:52.7002610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85
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2025-08-14T20:54:52.7003470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-8bit
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2025-08-14T20:54:52.7004790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48pc
2025-08-14T20:54:52.7005450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-tek
2025-08-14T20:54:52.7006100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-42-w
2025-08-14T20:54:52.7006740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99-ansi
2025-08-14T20:54:52.7007420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-wvb
2025-08-14T20:54:52.7008030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-vb
2025-08-14T20:54:52.7008680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25
2025-08-14T20:54:52.7009300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-325
2025-08-14T20:54:52.7009950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-wvb
2025-08-14T20:54:52.7010610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w
2025-08-14T20:54:52.7011290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-PC
2025-08-14T20:54:52.7011860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-vb
2025-08-14T20:54:52.7012510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-wvb
2025-08-14T20:54:52.7013170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-105k
2025-08-14T20:54:52.7013790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-24
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2025-08-14T20:54:52.7016400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150
2025-08-14T20:54:52.7017140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-pc-24
2025-08-14T20:54:52.7017840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-25-w
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2025-08-14T20:54:52.7021760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99f
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2025-08-14T20:54:52.7025140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-wvb
2025-08-14T20:54:52.7025690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160
2025-08-14T20:54:52.7026370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-vb
2025-08-14T20:54:52.7027100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36wpc
2025-08-14T20:54:52.7027760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-25-w
2025-08-14T20:54:52.7028460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99a-ansi
2025-08-14T20:54:52.7029050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30
2025-08-14T20:54:52.7029750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-w-vb
2025-08-14T20:54:52.7030450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-vb
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2025-08-14T20:54:52.7033750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-p-wvb
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2025-08-14T20:54:52.7036450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36
2025-08-14T20:54:52.7037100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-vb
2025-08-14T20:54:52.7037980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350
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2025-08-14T20:54:52.7040670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48wpc
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2025-08-14T20:54:52.7052590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-8bit
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2025-08-14T20:54:52.7057210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-wvb
2025-08-14T20:54:52.7057870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-wvb
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2025-08-14T20:54:52.7061120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-mc
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2025-08-14T20:54:52.7063740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse+sl
2025-08-14T20:54:52.7064390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fgta
2025-08-14T20:54:52.7065030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-vp
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2025-08-14T20:54:52.7066340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48pc
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2025-08-14T20:54:52.7069010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42
2025-08-14T20:54:52.7069640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-tek
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2025-08-14T20:54:52.7072230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-25
2025-08-14T20:54:52.7072880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-wvb
2025-08-14T20:54:52.7073530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-rv
2025-08-14T20:54:52.7074210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-vb
2025-08-14T20:54:52.7074850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgta
2025-08-14T20:54:52.7075540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-25-w
2025-08-14T20:54:52.7076150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-w
2025-08-14T20:54:52.7076790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-EPC
2025-08-14T20:54:52.7077470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-25-w
2025-08-14T20:54:52.7078070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25
2025-08-14T20:54:52.7078690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0
2025-08-14T20:54:52.7079310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt210
2025-08-14T20:54:52.7079960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3-bold
2025-08-14T20:54:52.7080530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p4
2025-08-14T20:54:52.7081190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m
2025-08-14T20:54:52.7081830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-w
2025-08-14T20:54:52.7082580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43-m
2025-08-14T20:54:52.7083210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+keypad
2025-08-14T20:54:52.7083800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40
2025-08-14T20:54:52.7084410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-w
2025-08-14T20:54:52.7085030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m
2025-08-14T20:54:52.7085670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200w
2025-08-14T20:54:52.7086310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-w
2025-08-14T20:54:52.7086930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccons
2025-08-14T20:54:52.7087620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8-w
2025-08-14T20:54:52.7088270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmconsole
2025-08-14T20:54:52.7088880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvtXX
2025-08-14T20:54:52.7089450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p5
2025-08-14T20:54:52.7090140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-vt100
2025-08-14T20:54:52.7090700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p19
2025-08-14T20:54:52.7091320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty
2025-08-14T20:54:52.7091960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8-w
2025-08-14T20:54:52.7092630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc6300plus
2025-08-14T20:54:52.7093300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-96x48
2025-08-14T20:54:52.7093920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcconsole
2025-08-14T20:54:52.7094520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pro350
2025-08-14T20:54:52.7095180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit12
2025-08-14T20:54:52.7095810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25
2025-08-14T20:54:52.7096470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8
2025-08-14T20:54:52.7097190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+xterm
2025-08-14T20:54:52.7097770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-venix
2025-08-14T20:54:52.7098460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-basic
2025-08-14T20:54:52.7099090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit
2025-08-14T20:54:52.7099810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs0
2025-08-14T20:54:52.7100440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43
2025-08-14T20:54:52.7101000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pty
2025-08-14T20:54:52.7101640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505
2025-08-14T20:54:52.7102270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon
2025-08-14T20:54:52.7102910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism7
2025-08-14T20:54:52.7103550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-minix
2025-08-14T20:54:52.7104170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9
2025-08-14T20:54:52.7104860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit120
2025-08-14T20:54:52.7105460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50w
2025-08-14T20:54:52.7106080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8
2025-08-14T20:54:52.7106760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-fast
2025-08-14T20:54:52.7107390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/printer
2025-08-14T20:54:52.7108020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1251
2025-08-14T20:54:52.7108670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33
2025-08-14T20:54:52.7109310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35w
2025-08-14T20:54:52.7110100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt400
2025-08-14T20:54:52.7110760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25-m
2025-08-14T20:54:52.7111410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m-w
2025-08-14T20:54:52.7112000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8-w
2025-08-14T20:54:52.7112670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-m
2025-08-14T20:54:52.7113240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8gl
2025-08-14T20:54:52.7113980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs
2025-08-14T20:54:52.7114600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1
2025-08-14T20:54:52.7115290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys
2025-08-14T20:54:52.7115990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-256color
2025-08-14T20:54:52.7116650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-90x28
2025-08-14T20:54:52.7117330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-mono
2025-08-14T20:54:52.7117920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250
2025-08-14T20:54:52.7118560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6100
2025-08-14T20:54:52.7119240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m-w
2025-08-14T20:54:52.7119820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcz19
2025-08-14T20:54:52.7120470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8
2025-08-14T20:54:52.7121080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm
2025-08-14T20:54:52.7121850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt100
2025-08-14T20:54:52.7122410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m
2025-08-14T20:54:52.7122990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p7
2025-08-14T20:54:52.7123620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43
2025-08-14T20:54:52.7124190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9
2025-08-14T20:54:52.7124920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-w
2025-08-14T20:54:52.7125490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40w
2025-08-14T20:54:52.7126100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28
2025-08-14T20:54:52.7126720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1100
2025-08-14T20:54:52.7127420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-coherent
2025-08-14T20:54:52.7128000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe550
2025-08-14T20:54:52.7128570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8
2025-08-14T20:54:52.7129210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m-w
2025-08-14T20:54:52.7129800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3
2025-08-14T20:54:52.7130420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcmw
2025-08-14T20:54:52.7131040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43w
2025-08-14T20:54:52.7131690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m
2025-08-14T20:54:52.7132300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-w
2025-08-14T20:54:52.7132920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r-m
2025-08-14T20:54:52.7133540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25w
2025-08-14T20:54:52.7134180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6312
2025-08-14T20:54:52.7134850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-sco
2025-08-14T20:54:52.7135590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+esc
2025-08-14T20:54:52.7136150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-w
2025-08-14T20:54:52.7136750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r
2025-08-14T20:54:52.7137380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12
2025-08-14T20:54:52.7138050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000m
2025-08-14T20:54:52.7138660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1b
2025-08-14T20:54:52.7139270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi
2025-08-14T20:54:52.7139890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000c
2025-08-14T20:54:52.7140580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25-color
2025-08-14T20:54:52.7141200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi43
2025-08-14T20:54:52.7141780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14
2025-08-14T20:54:52.7142420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m-w
2025-08-14T20:54:52.7143050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14
2025-08-14T20:54:52.7143720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-noapp
2025-08-14T20:54:52.7144320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pilot
2025-08-14T20:54:52.7144890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12
2025-08-14T20:54:52.7145590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+colors
2025-08-14T20:54:52.7146330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+linux
2025-08-14T20:54:52.7146960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25m
2025-08-14T20:54:52.7147600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psx_ansi
2025-08-14T20:54:52.7148230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25
2025-08-14T20:54:52.7148840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100
2025-08-14T20:54:52.7149440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/ps300
2025-08-14T20:54:52.7150070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1200
2025-08-14T20:54:52.7150690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250w
2025-08-14T20:54:52.7151380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8gl
2025-08-14T20:54:52.7152010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33
2025-08-14T20:54:52.7152670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism4
2025-08-14T20:54:52.7153280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-24
2025-08-14T20:54:52.7153910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8-w
2025-08-14T20:54:52.7154540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcplot
2025-08-14T20:54:52.7155280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+sco
2025-08-14T20:54:52.7155950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-screen
2025-08-14T20:54:52.7156610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+keys
2025-08-14T20:54:52.7157220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism5
2025-08-14T20:54:52.7157870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-22
2025-08-14T20:54:52.7158500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism2
2025-08-14T20:54:52.7159150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m2
2025-08-14T20:54:52.7159770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc7300
2025-08-14T20:54:52.7160460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-80x24
2025-08-14T20:54:52.7161120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+base
2025-08-14T20:54:52.7161760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33m
2025-08-14T20:54:52.7162360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon-m
2025-08-14T20:54:52.7162990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100w
2025-08-14T20:54:52.7163610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6300
2025-08-14T20:54:52.7164220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200
2025-08-14T20:54:52.7164850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35
2025-08-14T20:54:52.7165480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28w
2025-08-14T20:54:52.7166120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmcons
2025-08-14T20:54:52.7166690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcix
2025-08-14T20:54:52.7167340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0-m
2025-08-14T20:54:52.7167950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50
2025-08-14T20:54:52.7168640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33-m
2025-08-14T20:54:52.7169310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+screen
2025-08-14T20:54:52.7170110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdcons
2025-08-14T20:54:52.7170730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203
2025-08-14T20:54:52.7171400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25
2025-08-14T20:54:52.7172080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25-w
2025-08-14T20:54:52.7172760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25-w
2025-08-14T20:54:52.7173340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt
2025-08-14T20:54:52.7174000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25
2025-08-14T20:54:52.7174650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119
2025-08-14T20:54:52.7175210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx
2025-08-14T20:54:52.7175820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt4
2025-08-14T20:54:52.7176440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103
2025-08-14T20:54:52.7177100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-w
2025-08-14T20:54:52.7177710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p
2025-08-14T20:54:52.7178360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-g
2025-08-14T20:54:52.7179030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25-w
2025-08-14T20:54:52.7179650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-w
2025-08-14T20:54:52.7180320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt102
2025-08-14T20:54:52.7180890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-t
2025-08-14T20:54:52.7181490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt2
2025-08-14T20:54:52.7182130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w
2025-08-14T20:54:52.7182760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101p
2025-08-14T20:54:52.7183390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxtmono
2025-08-14T20:54:52.7184030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103-w
2025-08-14T20:54:52.7184700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25
2025-08-14T20:54:52.7185290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume
2025-08-14T20:54:52.7185970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w-am
2025-08-14T20:54:52.7186540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxw
2025-08-14T20:54:52.7187130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx4
2025-08-14T20:54:52.7187790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-w
2025-08-14T20:54:52.7188390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxm
2025-08-14T20:54:52.7189000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-m
2025-08-14T20:54:52.7189610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdss
2025-08-14T20:54:52.7190230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-w
2025-08-14T20:54:52.7190850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101
2025-08-14T20:54:52.7191490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+
2025-08-14T20:54:52.7192100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt108
2025-08-14T20:54:52.7192730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume5
2025-08-14T20:54:52.7193340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi
2025-08-14T20:54:52.7193990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101+
2025-08-14T20:54:52.7194610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203+
2025-08-14T20:54:52.7195300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-25-w
2025-08-14T20:54:52.7195860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61
2025-08-14T20:54:52.7196490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt330
2025-08-14T20:54:52.7197100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102
2025-08-14T20:54:52.7197710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50
2025-08-14T20:54:52.7198310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp60
2025-08-14T20:54:52.7199000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-putty
2025-08-14T20:54:52.7199620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8
2025-08-14T20:54:52.7200300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav-w
2025-08-14T20:54:52.7200920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300
2025-08-14T20:54:52.7201520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt132
2025-08-14T20:54:52.7202160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc403a
2025-08-14T20:54:52.7202850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+pcedit
2025-08-14T20:54:52.7203480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s
2025-08-14T20:54:52.7204050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip
2025-08-14T20:54:52.7204740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-direct
2025-08-14T20:54:52.7205420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint90
2025-08-14T20:54:52.7206090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte+pcfkeys
2025-08-14T20:54:52.7206740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-nam
2025-08-14T20:54:52.7207360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vitty
2025-08-14T20:54:52.7208050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-w
2025-08-14T20:54:52.7208640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/versaterm
2025-08-14T20:54:52.7209260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visa50
2025-08-14T20:54:52.7209850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp3a+
2025-08-14T20:54:52.7210510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata
2025-08-14T20:54:52.7211180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2014
2025-08-14T20:54:52.7211780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi550
2025-08-14T20:54:52.7212450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-nsgr
2025-08-14T20:54:52.7213090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-old
2025-08-14T20:54:52.7213690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-61
2025-08-14T20:54:52.7214350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k311
2025-08-14T20:54:52.7214960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+
2025-08-14T20:54:52.7215650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+keypad
2025-08-14T20:54:52.7216210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vtnt
2025-08-14T20:54:52.7216900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+4bsd
2025-08-14T20:54:52.7217540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-o
2025-08-14T20:54:52.7218160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61.5
2025-08-14T20:54:52.7218790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pc
2025-08-14T20:54:52.7219380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc203
2025-08-14T20:54:52.7220040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v200-nam
2025-08-14T20:54:52.7220620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220
2025-08-14T20:54:52.7221280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k3
2025-08-14T20:54:52.7221940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100nam
2025-08-14T20:54:52.7222550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2012
2025-08-14T20:54:52.7223150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300
2025-08-14T20:54:52.7223780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vapple
2025-08-14T20:54:52.7224390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-H
2025-08-14T20:54:52.7225030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2008
2025-08-14T20:54:52.7225650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc415
2025-08-14T20:54:52.7226270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400
2025-08-14T20:54:52.7226930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-vb
2025-08-14T20:54:52.7227620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+vtedit
2025-08-14T20:54:52.7228270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-nam
2025-08-14T20:54:52.7228870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v320n
2025-08-14T20:54:52.7229490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vv100
2025-08-14T20:54:52.7230170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+enq
2025-08-14T20:54:52.7230820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-w
2025-08-14T20:54:52.7231470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102+enq
2025-08-14T20:54:52.7232120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2007
2025-08-14T20:54:52.7232810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-top
2025-08-14T20:54:52.7233400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414
2025-08-14T20:54:52.7234040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w
2025-08-14T20:54:52.7234730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52-basic
2025-08-14T20:54:52.7235320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vk100
2025-08-14T20:54:52.7236060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8bit
2025-08-14T20:54:52.7236600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520
2025-08-14T20:54:52.7237200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt340
2025-08-14T20:54:52.7237870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100-x10
2025-08-14T20:54:52.7238530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam-w
2025-08-14T20:54:52.7239110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi55
2025-08-14T20:54:52.7239710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi603
2025-08-14T20:54:52.7240350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vwmterm
2025-08-14T20:54:52.7241000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pcdos
2025-08-14T20:54:52.7241640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-js
2025-08-14T20:54:52.7242240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100
2025-08-14T20:54:52.7242890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520ansi
2025-08-14T20:54:52.7243470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510
2025-08-14T20:54:52.7244110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-js
2025-08-14T20:54:52.7244810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-256color
2025-08-14T20:54:52.7245440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-w
2025-08-14T20:54:52.7246110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis
2025-08-14T20:54:52.7246700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc103
2025-08-14T20:54:52.7247390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8bit
2025-08-14T20:54:52.7248020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300-old
2025-08-14T20:54:52.7248650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-w
2025-08-14T20:54:52.7249280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp90
2025-08-14T20:54:52.7249940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+fnkeys
2025-08-14T20:54:52.7250540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-f
2025-08-14T20:54:52.7251170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420f
2025-08-14T20:54:52.7251820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400-24
2025-08-14T20:54:52.7252450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w
2025-08-14T20:54:52.7253130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visual603
2025-08-14T20:54:52.7253720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w
2025-08-14T20:54:52.7254410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint60
2025-08-14T20:54:52.7255010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52
2025-08-14T20:54:52.7255620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt131
2025-08-14T20:54:52.7256220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50h
2025-08-14T20:54:52.7256840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100
2025-08-14T20:54:52.7257450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/venix
2025-08-14T20:54:52.7258100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2017
2025-08-14T20:54:52.7258760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-Hw
2025-08-14T20:54:52.7259340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404
2025-08-14T20:54:52.7259950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420
2025-08-14T20:54:52.7260630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nav
2025-08-14T20:54:52.7261190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte
2025-08-14T20:54:52.7261810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v3220
2025-08-14T20:54:52.7262510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bot-s
2025-08-14T20:54:52.7263180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nam
2025-08-14T20:54:52.7263820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi500
2025-08-14T20:54:52.7264380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414h
2025-08-14T20:54:52.7265070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+keypad
2025-08-14T20:54:52.7265710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2018
2025-08-14T20:54:52.7266350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420+lrmm
2025-08-14T20:54:52.7267050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+pfkeys
2025-08-14T20:54:52.7267720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pcdos
2025-08-14T20:54:52.7268340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vremote
2025-08-14T20:54:52.7269020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-top-s
2025-08-14T20:54:52.7269690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-rv
2025-08-14T20:54:52.7270290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-w
2025-08-14T20:54:52.7270950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav
2025-08-14T20:54:52.7271620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-base
2025-08-14T20:54:52.7272290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w-nam
2025-08-14T20:54:52.7272990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint3a+
2025-08-14T20:54:52.7273610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam
2025-08-14T20:54:52.7274280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm-o
2025-08-14T20:54:52.7274900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50adm
2025-08-14T20:54:52.7275570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-nam
2025-08-14T20:54:52.7276160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200
2025-08-14T20:54:52.7276780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220d
2025-08-14T20:54:52.7277370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vsc
2025-08-14T20:54:52.7277980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pc
2025-08-14T20:54:52.7278620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8
2025-08-14T20:54:52.7279230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vanilla
2025-08-14T20:54:52.7279850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode
2025-08-14T20:54:52.7280450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt125
2025-08-14T20:54:52.7281080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-Hw
2025-08-14T20:54:52.7281720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-old
2025-08-14T20:54:52.7282310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v5410
2025-08-14T20:54:52.7283000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+keypad
2025-08-14T20:54:52.7283610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303a
2025-08-14T20:54:52.7284250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-am
2025-08-14T20:54:52.7284910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-bot
2025-08-14T20:54:52.7285540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320nam
2025-08-14T20:54:52.7286190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-am
2025-08-14T20:54:52.7286780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320
2025-08-14T20:54:52.7287390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303
2025-08-14T20:54:52.7287980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50
2025-08-14T20:54:52.7288670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-H
2025-08-14T20:54:52.7289310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint
2025-08-14T20:54:52.7289930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404-s
2025-08-14T20:54:52.7290610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis8
2025-08-14T20:54:52.7291220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-utf8
2025-08-14T20:54:52.7291900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200
2025-08-14T20:54:52.7292490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm
2025-08-14T20:54:52.7293200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode-direct
2025-08-14T20:54:52.7293790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt525
2025-08-14T20:54:52.7294440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-rv
2025-08-14T20:54:52.7295120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w-nam
2025-08-14T20:54:52.7295830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-256color
2025-08-14T20:54:52.7296480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+r6f2
2025-08-14T20:54:52.7297170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-112x37
2025-08-14T20:54:52.7297840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+200x64
2025-08-14T20:54:52.7298550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x10mouse
2025-08-14T20:54:52.7299260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x48
2025-08-14T20:54:52.7300140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+osc104
2025-08-14T20:54:52.7300860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64-m
2025-08-14T20:54:52.7301530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-color
2025-08-14T20:54:52.7302230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-16color
2025-08-14T20:54:52.7302920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v40
2025-08-14T20:54:52.7303610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x40
2025-08-14T20:54:52.7304260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-b
2025-08-14T20:54:52.7304990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct256
2025-08-14T20:54:52.7305690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct2
2025-08-14T20:54:52.7306250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xgterm
2025-08-14T20:54:52.7306970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+88color
2025-08-14T20:54:52.7307590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+c
2025-08-14T20:54:52.7308260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pce2
2025-08-14T20:54:52.7308960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64
2025-08-14T20:54:52.7309640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x48
2025-08-14T20:54:52.7310280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app
2025-08-14T20:54:52.7310970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-8bit
2025-08-14T20:54:52.7311600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox820
2025-08-14T20:54:52.7312200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1750
2025-08-14T20:54:52.7312940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+112x37
2025-08-14T20:54:52.7313530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermm
2025-08-14T20:54:52.7314180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xi
2025-08-14T20:54:52.7314870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc0
2025-08-14T20:54:52.7315510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f
2025-08-14T20:54:52.7316240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x11hilite
2025-08-14T20:54:52.7316840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermc
2025-08-14T20:54:52.7317580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x25-m
2025-08-14T20:54:52.7318220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcf2
2025-08-14T20:54:52.7318910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+keypad
2025-08-14T20:54:52.7319520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm
2025-08-14T20:54:52.7320370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x40
2025-08-14T20:54:52.7320910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+noapp
2025-08-14T20:54:52.7321550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+b
2025-08-14T20:54:52.7322260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-basic
2025-08-14T20:54:52.7322890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+meta
2025-08-14T20:54:52.7323620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11mouse
2025-08-14T20:54:52.7324250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f2
2025-08-14T20:54:52.7324830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x820
2025-08-14T20:54:52.7325530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc1
2025-08-14T20:54:52.7326170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-r6
2025-08-14T20:54:52.7326780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1720
2025-08-14T20:54:52.7327460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm.js
2025-08-14T20:54:52.7328160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-88color
2025-08-14T20:54:52.7328810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+tmux2
2025-08-14T20:54:52.7329530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-144x48-m
2025-08-14T20:54:52.7330210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct2
2025-08-14T20:54:52.7330870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-utf8
2025-08-14T20:54:52.7331600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11hilite
2025-08-14T20:54:52.7332280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct16
2025-08-14T20:54:52.7332860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xdku
2025-08-14T20:54:52.7333490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x68k-ite
2025-08-14T20:54:52.7334250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+alt+title
2025-08-14T20:54:52.7334940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-112x37-m
2025-08-14T20:54:52.7335590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct
2025-08-14T20:54:52.7336310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v333
2025-08-14T20:54:52.7336980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xfree86
2025-08-14T20:54:52.7337650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-vt220
2025-08-14T20:54:52.7338290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+acs
2025-08-14T20:54:52.7338970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-hp
2025-08-14T20:54:52.7339600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-new
2025-08-14T20:54:52.7340280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-noapp
2025-08-14T20:54:52.7341000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pc+edit
2025-08-14T20:54:52.7341670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-1003
2025-08-14T20:54:52.7342290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterms-sun
2025-08-14T20:54:52.7342970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sl-twm
2025-08-14T20:54:52.7343670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+basic
2025-08-14T20:54:52.7344340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sm+1003
2025-08-14T20:54:52.7345020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-pcolor
2025-08-14T20:54:52.7345610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xenix
2025-08-14T20:54:52.7346370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct256
2025-08-14T20:54:52.7346950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc
2025-08-14T20:54:52.7347660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sm+1002
2025-08-14T20:54:52.7348400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+focus
2025-08-14T20:54:52.7353240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sm+1005
2025-08-14T20:54:52.7353500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-1005
2025-08-14T20:54:52.7353660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x48-m
2025-08-14T20:54:52.7353780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox-lm
2025-08-14T20:54:52.7353920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+nopcfkeys
2025-08-14T20:54:52.7354060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-direct
2025-08-14T20:54:52.7354200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-1002
2025-08-14T20:54:52.7354330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-sco
2025-08-14T20:54:52.7354470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-144x48
2025-08-14T20:54:52.7354940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-p371
2025-08-14T20:54:52.7355670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+256setaf
2025-08-14T20:54:52.7356390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-160x64-m
2025-08-14T20:54:52.7357070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+vt+edit
2025-08-14T20:54:52.7357710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+kbs
2025-08-14T20:54:52.7358410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x30
2025-08-14T20:54:52.7359130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-90x30-m
2025-08-14T20:54:52.7359840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x11mouse
2025-08-14T20:54:52.7360400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xwsh
2025-08-14T20:54:52.7361020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtalk
2025-08-14T20:54:52.7361760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v43
2025-08-14T20:54:52.7362500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v44
2025-08-14T20:54:52.7363110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-p370
2025-08-14T20:54:52.7363770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-f
2025-08-14T20:54:52.7364450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-90x30
2025-08-14T20:54:52.7365040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xl83
2025-08-14T20:54:52.7365670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xfce
2025-08-14T20:54:52.7366350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc3
2025-08-14T20:54:52.7366940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1700
2025-08-14T20:54:52.7367610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-24
2025-08-14T20:54:52.7368290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sl-alt
2025-08-14T20:54:52.7369010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+144x48
2025-08-14T20:54:52.7369610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-b
2025-08-14T20:54:52.7370270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-old
2025-08-14T20:54:52.7370940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+alt47
2025-08-14T20:54:52.7371600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+f2
2025-08-14T20:54:52.7372320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x10mouse
2025-08-14T20:54:52.7373000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+80x25
2025-08-14T20:54:52.7373650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcf0
2025-08-14T20:54:52.7374350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+nofkeys
2025-08-14T20:54:52.7375040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+256color
2025-08-14T20:54:52.7375670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1700-lm
2025-08-14T20:54:52.7376300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m
2025-08-14T20:54:52.7377090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+256color2
2025-08-14T20:54:52.7377650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-r5
2025-08-14T20:54:52.7378390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+titlestack
2025-08-14T20:54:52.7379040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox1720
2025-08-14T20:54:52.7379680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc2
2025-08-14T20:54:52.7380280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm1
2025-08-14T20:54:52.7380890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x68k
2025-08-14T20:54:52.7381520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+f
2025-08-14T20:54:52.7382160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterms
2025-08-14T20:54:52.7382820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-mono
2025-08-14T20:54:52.7383490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x10term+sl
2025-08-14T20:54:52.7384220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-100x37-m
2025-08-14T20:54:52.7384880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+80x30
2025-08-14T20:54:52.7385570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x75
2025-08-14T20:54:52.7386250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-256x96
2025-08-14T20:54:52.7386950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x30-m
2025-08-14T20:54:52.7387630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+90x30
2025-08-14T20:54:52.7388230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x10term
2025-08-14T20:54:52.7388920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcfkeys
2025-08-14T20:54:52.7389620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-256x96-m
2025-08-14T20:54:52.7390330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+160x64
2025-08-14T20:54:52.7390890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox
2025-08-14T20:54:52.7391540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sl
2025-08-14T20:54:52.7392220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+edit
2025-08-14T20:54:52.7392850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-sun
2025-08-14T20:54:52.7393560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-100x37
2025-08-14T20:54:52.7394210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-bold
2025-08-14T20:54:52.7394870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-f2
2025-08-14T20:54:52.7395580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct16
2025-08-14T20:54:52.7396260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+200x75
2025-08-14T20:54:52.7396940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+256x96
2025-08-14T20:54:52.7397590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+tmux
2025-08-14T20:54:52.7398230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-nic
2025-08-14T20:54:52.7398880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-vt52
2025-08-14T20:54:52.7399600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v32
2025-08-14T20:54:52.7400290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x75-m
2025-08-14T20:54:52.7400980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+sm+1006
2025-08-14T20:54:52.7401670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-160x64
2025-08-14T20:54:52.7402270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xiterm
2025-08-14T20:54:52.7403000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+indirect
2025-08-14T20:54:52.7403690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+88color2
2025-08-14T20:54:52.7404390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x40-m
2025-08-14T20:54:52.7405090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-1006
2025-08-14T20:54:52.7405750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+100x37
2025-08-14T20:54:52.7406430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+alt1049
2025-08-14T20:54:52.7407080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x25
2025-08-14T20:54:52.7407780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v33
2025-08-14T20:54:52.7408440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+noalt
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2025-08-14T20:54:52.7528380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_callout.html
2025-08-14T20:54:52.7529290Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_byname.html
2025-08-14T20:54:52.7530140Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_get.html
2025-08-14T20:54:52.7531030Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_create.html
2025-08-14T20:54:52.7531590Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconvctl.3.html
2025-08-14T20:54:52.7532310Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open_into.3.html
2025-08-14T20:54:52.7532980Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open.3.html
2025-08-14T20:54:52.7533540Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv.1.html
2025-08-14T20:54:52.7534090Z /opt/homebrew/Caskroom/miniconda/base/share/et/et_c.awk
2025-08-14T20:54:52.7534670Z /opt/homebrew/Caskroom/miniconda/base/share/et/et_h.awk
2025-08-14T20:54:52.7535320Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/install-sh
2025-08-14T20:54:52.7535940Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/LICENSE
2025-08-14T20:54:52.7536620Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/config/mh-darwin
2025-08-14T20:54:52.7537280Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/mkinstalldirs
2025-08-14T20:54:53.8350910Z ==> Uninstalling Cask miniconda
2025-08-14T20:54:53.8351200Z ==> Removing files:
2025-08-14T20:54:53.8351670Z /opt/homebrew/Caskroom/miniconda/base
2025-08-14T20:54:57.0492430Z ==> Unlinking Binary '/opt/homebrew/bin/conda'
2025-08-14T20:54:57.0498420Z ==> Purging files for version py313_25.5.1-1 of Cask miniconda
2025-08-14T20:54:57.0932710Z ##[group]Run for dir in  ~/.local/lib/python3.*/site-packages; do
2025-08-14T20:54:57.0933020Z for dir in  ~/.local/lib/python3.*/site-packages; do
2025-08-14T20:54:57.0933250Z   echo "Cleaning up ${dir}"
2025-08-14T20:54:57.0933430Z   rm -rf "${dir}"
2025-08-14T20:54:57.0933570Z done
2025-08-14T20:54:57.0944820Z shell: /bin/bash -e -l {0}
2025-08-14T20:54:57.0944950Z env:
2025-08-14T20:54:57.0945060Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.0945220Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.0945370Z   TEST_CONFIG: default
2025-08-14T20:54:57.0945500Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.0945610Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.0945730Z   PR_BODY: 
2025-08-14T20:54:57.0945850Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.0945990Z ##[endgroup]
2025-08-14T20:54:57.1202720Z Cleaning up /Users/ec2-user/.local/lib/python3.*/site-packages
2025-08-14T20:54:57.1279620Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-08-14T20:54:57.1279880Z with:
2025-08-14T20:54:57.1280010Z   minimum-available-space-in-gb: 6
2025-08-14T20:54:57.1280180Z env:
2025-08-14T20:54:57.1280310Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.1280470Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.1280790Z   TEST_CONFIG: default
2025-08-14T20:54:57.1280940Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.1281070Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.1281200Z   PR_BODY: 
2025-08-14T20:54:57.1281340Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.1281490Z ##[endgroup]
2025-08-14T20:54:57.1328200Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-08-14T20:54:57.1328580Z echo "Print the available disk space for manual inspection"
2025-08-14T20:54:57.1328810Z df -h
2025-08-14T20:54:57.1328930Z 
2025-08-14T20:54:57.1329060Z function check_disk_space() {
2025-08-14T20:54:57.1329270Z   set +e
2025-08-14T20:54:57.1329390Z 
2025-08-14T20:54:57.1329540Z   # Set the minimum requirement space to 6GB
2025-08-14T20:54:57.1329870Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-08-14T20:54:57.1330140Z 
2025-08-14T20:54:57.1330300Z   # Use KB to avoid floating point warning like 3.1GB
2025-08-14T20:54:57.1330580Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-08-14T20:54:57.1330780Z   do
2025-08-14T20:54:57.1330930Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-08-14T20:54:57.1331130Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-08-14T20:54:57.1331320Z 
2025-08-14T20:54:57.1331440Z     if [ "${MOUNT}" = "/" ]; then
2025-08-14T20:54:57.1331680Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-08-14T20:54:57.1332170Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-08-14T20:54:57.1332590Z       else
2025-08-14T20:54:57.1332860Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-08-14T20:54:57.1333210Z       fi
2025-08-14T20:54:57.1333340Z     fi
2025-08-14T20:54:57.1333480Z   done
2025-08-14T20:54:57.1333600Z 
2025-08-14T20:54:57.1333710Z   set -e
2025-08-14T20:54:57.1333830Z }
2025-08-14T20:54:57.1333950Z 
2025-08-14T20:54:57.1334070Z RESULT=$(check_disk_space)
2025-08-14T20:54:57.1334240Z echo "${RESULT}"
2025-08-14T20:54:57.1334400Z 
2025-08-14T20:54:57.1334580Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-08-14T20:54:57.1335040Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-08-14T20:54:57.1335500Z   # https://github.com/pytorch/pytorch/issues/85440
2025-08-14T20:54:57.1335820Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-08-14T20:54:57.1336270Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-08-14T20:54:57.1336720Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-08-14T20:54:57.1336940Z 
2025-08-14T20:54:57.1337110Z   # Clean up crash reports on the runner
2025-08-14T20:54:57.1337410Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-08-14T20:54:57.1337670Z 
2025-08-14T20:54:57.1337840Z   # Also try to clean up torch.hub caching directory
2025-08-14T20:54:57.1338100Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-08-14T20:54:57.1338490Z 
2025-08-14T20:54:57.1338620Z   # Purge conda
2025-08-14T20:54:57.1338780Z   conda clean -p -t -y || true
2025-08-14T20:54:57.1338970Z   # and pip cache
2025-08-14T20:54:57.1339130Z   pip cache purge || true
2025-08-14T20:54:57.1339290Z 
2025-08-14T20:54:57.1339500Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-08-14T20:54:57.1339780Z   # Re-run the check
2025-08-14T20:54:57.1339940Z   RESULT=$(check_disk_space)
2025-08-14T20:54:57.1340130Z   echo "${RESULT}"
2025-08-14T20:54:57.1340270Z fi
2025-08-14T20:54:57.1340390Z 
2025-08-14T20:54:57.1340540Z if [[ "${RESULT}" == *Failure* ]]; then
2025-08-14T20:54:57.1340720Z   df -h
2025-08-14T20:54:57.1340830Z 
2025-08-14T20:54:57.1341230Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-08-14T20:54:57.1341670Z   exit 1
2025-08-14T20:54:57.1341820Z fi
2025-08-14T20:54:57.1353460Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:54:57.1353690Z env:
2025-08-14T20:54:57.1353810Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.1353970Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.1354160Z   TEST_CONFIG: default
2025-08-14T20:54:57.1354290Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.1354430Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.1354570Z   PR_BODY: 
2025-08-14T20:54:57.1354690Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.1354850Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-08-14T20:54:57.1355010Z ##[endgroup]
2025-08-14T20:54:57.1540840Z Print the available disk space for manual inspection
2025-08-14T20:54:57.1553740Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-14T20:54:57.1554120Z /dev/disk5s2s1   256Gi   9.5Gi   193Gi     5%    404k  2.0G    0%   /
2025-08-14T20:54:57.1554460Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-14T20:54:57.1554790Z /dev/disk5s5     256Gi   1.0Gi   193Gi     1%       1  2.0G    0%   /System/Volumes/VM
2025-08-14T20:54:57.1555140Z /dev/disk5s3     256Gi   5.7Gi   193Gi     3%    1.0k  2.0G    0%   /System/Volumes/Preboot
2025-08-14T20:54:57.1555620Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-14T20:54:57.1556030Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-14T20:54:57.1556400Z /dev/disk1s3     500Mi   892Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-14T20:54:57.1556780Z /dev/disk5s1     256Gi    45Gi   193Gi    19%    1.6M  2.0G    0%   /System/Volumes/Data
2025-08-14T20:54:57.1557150Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-14T20:54:57.1557520Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-ri8fYn
2025-08-14T20:54:57.1926240Z Success: There is 202839900KB free space left in / for macOS, continue
2025-08-14T20:54:57.1997140Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-08-14T20:54:57.1997380Z with:
2025-08-14T20:54:57.1997510Z   submodules: recursive
2025-08-14T20:54:57.1997670Z   fetch-depth: 0
2025-08-14T20:54:57.1997800Z env:
2025-08-14T20:54:57.1997910Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.1998090Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.1998260Z   TEST_CONFIG: default
2025-08-14T20:54:57.1998400Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.1998540Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.1998670Z   PR_BODY: 
2025-08-14T20:54:57.1998790Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.1998950Z ##[endgroup]
2025-08-14T20:54:57.2020050Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T20:54:57.2020570Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-08-14T20:54:57.2031550Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:54:57.2031740Z env:
2025-08-14T20:54:57.2031850Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.2032000Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.2032230Z   TEST_CONFIG: default
2025-08-14T20:54:57.2032360Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.2032470Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.2032590Z   PR_BODY: 
2025-08-14T20:54:57.2032710Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.2032850Z ##[endgroup]
2025-08-14T20:54:57.2273340Z ##[group]Run # Use all available CPUs for fetching
2025-08-14T20:54:57.2273660Z # Use all available CPUs for fetching
2025-08-14T20:54:57.2273890Z cd "${GITHUB_WORKSPACE}"
2025-08-14T20:54:57.2274080Z git config --global fetch.parallel 0
2025-08-14T20:54:57.2274310Z git config --global submodule.fetchJobs 0
2025-08-14T20:54:57.2274670Z 
2025-08-14T20:54:57.2274930Z # Clean workspace. The default checkout action should also do this, but
2025-08-14T20:54:57.2275230Z # do it here as well just in case
2025-08-14T20:54:57.2275440Z if [[ -d .git ]]; then
2025-08-14T20:54:57.2275610Z   if [ -z "${NO_SUDO}" ]; then
2025-08-14T20:54:57.2275830Z     sudo git clean -ffdx
2025-08-14T20:54:57.2275990Z   else
2025-08-14T20:54:57.2276120Z     git clean -ffdx
2025-08-14T20:54:57.2276280Z   fi
2025-08-14T20:54:57.2276400Z fi
2025-08-14T20:54:57.2287370Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:54:57.2287600Z env:
2025-08-14T20:54:57.2287720Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:57.2287900Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:57.2288070Z   TEST_CONFIG: default
2025-08-14T20:54:57.2288200Z   SHARD_NUMBER: 1
2025-08-14T20:54:57.2288330Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:57.2288470Z   PR_BODY: 
2025-08-14T20:54:57.2288600Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:57.2288760Z   NO_SUDO: 
2025-08-14T20:54:57.2288890Z ##[endgroup]
2025-08-14T20:54:58.4499440Z Removing .additional_ci_files/
2025-08-14T20:54:58.4499710Z Removing .pytest_cache/
2025-08-14T20:54:58.4500180Z Removing build/
2025-08-14T20:54:58.4500500Z Removing dist/
2025-08-14T20:54:58.4500690Z Removing test/.pytorch-disabled-tests.json
2025-08-14T20:54:58.4500920Z Removing test/__pycache__/
2025-08-14T20:54:58.4501100Z Removing test/ao/sparsity/__pycache__/
2025-08-14T20:54:58.4501340Z Removing test/autograd/__pycache__/
2025-08-14T20:54:58.4501540Z Removing test/cpp_api_parity/__pycache__/
2025-08-14T20:54:58.4501750Z Removing test/cpp_extensions/build/
2025-08-14T20:54:58.4501960Z Removing test/cpp_extensions/install/
2025-08-14T20:54:58.4502240Z Removing test/cpp_extensions/no_python_abi_suffix_test/build/
2025-08-14T20:54:58.4502560Z Removing test/cpp_extensions/no_python_abi_suffix_test/install/
2025-08-14T20:54:58.4502940Z Removing test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.egg-info/
2025-08-14T20:54:58.4503770Z Removing test/cpp_extensions/torch_test_cpp_extension.egg-info/
2025-08-14T20:54:58.4504130Z Removing test/cpp_extensions/torch_test_cpp_extension/__pycache__/
2025-08-14T20:54:58.4504420Z Removing test/custom_operator/__pycache__/
2025-08-14T20:54:58.4504650Z Removing test/custom_operator/build/
2025-08-14T20:54:58.4504870Z Removing test/custom_operator/model.pt
2025-08-14T20:54:58.4505090Z Removing test/custom_operator/test-reports/
2025-08-14T20:54:58.4505300Z Removing test/functorch/__pycache__/
2025-08-14T20:54:58.4505510Z Removing test/fx/__pycache__/
2025-08-14T20:54:58.4505690Z Removing test/inductor/__pycache__/
2025-08-14T20:54:58.4505930Z Removing test/inductor/extension_backends/cpp/__pycache__/
2025-08-14T20:54:58.4506200Z Removing test/jit/__pycache__/
2025-08-14T20:54:58.4506400Z Removing test/jit/_imported_class_test/__pycache__/
2025-08-14T20:54:58.4506680Z Removing test/jit/_imported_class_test/very/__pycache__/
2025-08-14T20:54:58.4506970Z Removing test/jit/_imported_class_test/very/very/__pycache__/
2025-08-14T20:54:58.4507220Z Removing test/test-reports/
2025-08-14T20:54:58.4507400Z Removing test/torch_np/__pycache__/
2025-08-14T20:54:58.4507600Z Removing tools/__pycache__/
2025-08-14T20:54:58.4507800Z Removing tools/stats/__pycache__/
2025-08-14T20:54:58.4508090Z Removing tools/stats/upload_utilization_stats/__pycache__/
2025-08-14T20:54:58.4508330Z Removing tools/testing/__pycache__/
2025-08-14T20:54:58.4508580Z Removing tools/testing/target_determination/__pycache__/
2025-08-14T20:54:58.4508900Z Removing tools/testing/target_determination/heuristics/__pycache__/
2025-08-14T20:54:58.4548830Z ##[group]Run actions/checkout@v4
2025-08-14T20:54:58.4549020Z with:
2025-08-14T20:54:58.4549160Z   ref: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T20:54:58.4558180Z   fetch-depth: 0
2025-08-14T20:54:58.4558340Z   submodules: recursive
2025-08-14T20:54:58.4558490Z   show-progress: false
2025-08-14T20:54:58.4558660Z   repository: pytorch/pytorch
2025-08-14T20:54:58.4558910Z   token: ***
2025-08-14T20:54:58.4559030Z   ssh-strict: true
2025-08-14T20:54:58.4559160Z   ssh-user: git
2025-08-14T20:54:58.4559330Z   persist-credentials: true
2025-08-14T20:54:58.4559480Z   clean: true
2025-08-14T20:54:58.4559620Z   sparse-checkout-cone-mode: true
2025-08-14T20:54:58.4559800Z   fetch-tags: false
2025-08-14T20:54:58.4559920Z   lfs: false
2025-08-14T20:54:58.4560040Z   set-safe-directory: true
2025-08-14T20:54:58.4560170Z env:
2025-08-14T20:54:58.4560270Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:54:58.4560420Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:54:58.4560590Z   TEST_CONFIG: default
2025-08-14T20:54:58.4560740Z   SHARD_NUMBER: 1
2025-08-14T20:54:58.4560860Z   NUM_TEST_SHARDS: 3
2025-08-14T20:54:58.4560990Z   PR_BODY: 
2025-08-14T20:54:58.4561130Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:54:58.4561270Z ##[endgroup]
2025-08-14T20:54:58.5432520Z Syncing repository: pytorch/pytorch
2025-08-14T20:54:58.5433460Z ##[group]Getting Git version info
2025-08-14T20:54:58.5433780Z Working directory is '/Users/ec2-user/runner/_work/pytorch/pytorch'
2025-08-14T20:54:58.5434180Z [command]/usr/bin/git version
2025-08-14T20:54:58.5468550Z git version 2.39.3 (Apple Git-146)
2025-08-14T20:54:58.5482180Z ##[endgroup]
2025-08-14T20:54:58.5487500Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/09c4b298-1284-4d62-8bb3-216391f3c5b0/.gitconfig'
2025-08-14T20:54:58.5493820Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/09c4b298-1284-4d62-8bb3-216391f3c5b0' before making global git config changes
2025-08-14T20:54:58.5494380Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T20:54:58.5500660Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-14T20:54:58.5570990Z [command]/usr/bin/git config --local --get remote.origin.url
2025-08-14T20:54:58.5622970Z https://github.com/pytorch/pytorch
2025-08-14T20:54:58.5631950Z ##[group]Removing previously created refs, to avoid conflicts
2025-08-14T20:54:58.5633700Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-08-14T20:54:58.5717390Z HEAD
2025-08-14T20:54:58.5789690Z ##[endgroup]
2025-08-14T20:54:58.5792010Z [command]/usr/bin/git submodule status
2025-08-14T20:54:58.6454670Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-08-14T20:54:58.6689120Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-08-14T20:54:58.6902200Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-08-14T20:54:58.7215390Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-08-14T20:54:58.7500330Z  2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16)
2025-08-14T20:54:58.7698330Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-08-14T20:54:58.9375110Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-08-14T20:54:58.9572100Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-08-14T20:54:58.9726830Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-08-14T20:54:59.0517190Z  7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d)
2025-08-14T20:54:59.0781150Z  3af7f2c16147f3fbc6e4d717032daf505dc1652c third_party/cpp-httplib (v0.20.1)
2025-08-14T20:54:59.1125510Z  5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244)
2025-08-14T20:54:59.1477950Z  f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055)
2025-08-14T20:54:59.1901950Z  e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0)
2025-08-14T20:54:59.2469060Z  0adf628317e0cea414f66dcca901e0b85280fdb1 third_party/fbgemm (v1.3.0-rc1-132-g0adf6283)
2025-08-14T20:54:59.2724630Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-08-14T20:54:59.2850870Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-08-14T20:54:59.3668020Z  40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0)
2025-08-14T20:54:59.3973810Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-08-14T20:54:59.4325910Z  c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02)
2025-08-14T20:54:59.4852820Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-08-14T20:54:59.5153610Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-08-14T20:54:59.5324080Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-08-14T20:54:59.5818270Z  5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018)
2025-08-14T20:54:59.5992030Z  cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0)
2025-08-14T20:54:59.6084470Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-08-14T20:54:59.6217190Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
2025-08-14T20:54:59.7046430Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
2025-08-14T20:54:59.7153000Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
2025-08-14T20:54:59.7264210Z  0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5)
2025-08-14T20:54:59.9354300Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-08-14T20:54:59.9553680Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-08-14T20:54:59.9736980Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
2025-08-14T20:55:00.0158310Z  a2e59f0e7065404b44dfe92a28aca47ba1378dc4 third_party/pybind11 (v2.11.0-182-ga2e59f0e)
2025-08-14T20:55:00.0388840Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-08-14T20:55:00.0729280Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-08-14T20:55:00.0995930Z  dacda0567d9f23d4bc503e1c4f84aa65f33ac38a third_party/tensorpipe (heads/main)
2025-08-14T20:55:00.1003600Z ##[group]Cleaning the repository
2025-08-14T20:55:00.1006210Z [command]/usr/bin/git clean -ffdx
2025-08-14T20:55:00.1384030Z [command]/usr/bin/git reset --hard HEAD
2025-08-14T20:55:01.0489150Z HEAD is now at 9a8301f22b2 Set PYTHONHOME for inductor subprocesses using torch (#159382)
2025-08-14T20:55:01.0495850Z ##[endgroup]
2025-08-14T20:55:01.0497090Z ##[group]Disabling automatic garbage collection
2025-08-14T20:55:01.0501700Z [command]/usr/bin/git config --local gc.auto 0
2025-08-14T20:55:01.0574080Z ##[endgroup]
2025-08-14T20:55:01.0574390Z ##[group]Setting up auth
2025-08-14T20:55:01.0581680Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T20:55:01.0646380Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
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2025-08-14T20:55:01.8960020Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-08-14T20:55:02.7089750Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T20:55:02.7159960Z ##[endgroup]
2025-08-14T20:55:02.7160210Z ##[group]Fetching the repository
2025-08-14T20:55:02.7164330Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
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2025-08-14T20:55:09.9389900Z    9973dd5f806..a42184b16d8  gh/ydwu4/307/base           -> origin/gh/ydwu4/307/base
2025-08-14T20:55:09.9397370Z    9fa0484136c..a48d6f473d9  gh/ydwu4/307/head           -> origin/gh/ydwu4/307/head
2025-08-14T20:55:09.9404770Z  + 7e922ff99d8...dd60840ccfd gh/ydwu4/307/orig           -> origin/gh/ydwu4/307/orig  (forced update)
2025-08-14T20:55:09.9412980Z    12913a9a722..39133df24c2  gh/ydwu4/308/head           -> origin/gh/ydwu4/308/head
2025-08-14T20:55:09.9421130Z  + cee669623d0...279de9fc5c6 gh/ydwu4/308/orig           -> origin/gh/ydwu4/308/orig  (forced update)
2025-08-14T20:55:09.9423640Z  * [new branch]              gh/ydwu4/309/base           -> origin/gh/ydwu4/309/base
2025-08-14T20:55:09.9425260Z  * [new branch]              gh/ydwu4/309/head           -> origin/gh/ydwu4/309/head
2025-08-14T20:55:09.9427640Z  * [new branch]              gh/ydwu4/309/orig           -> origin/gh/ydwu4/309/orig
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2025-08-14T20:55:09.9431440Z  * [new branch]              gh/ydwu4/310/head           -> origin/gh/ydwu4/310/head
2025-08-14T20:55:09.9433430Z  * [new branch]              gh/ydwu4/310/orig           -> origin/gh/ydwu4/310/orig
2025-08-14T20:55:09.9435950Z  * [new branch]              gh/ydwu4/311/base           -> origin/gh/ydwu4/311/base
2025-08-14T20:55:09.9437780Z  * [new branch]              gh/ydwu4/311/head           -> origin/gh/ydwu4/311/head
2025-08-14T20:55:09.9439590Z  * [new branch]              gh/ydwu4/311/orig           -> origin/gh/ydwu4/311/orig
2025-08-14T20:55:09.9456930Z    077cb389746..4a90dc0c1f6  main                        -> origin/main
2025-08-14T20:55:09.9485330Z  + e33a33da492...8ac9fe6cbf8 mlazos/tuple-fixes2         -> origin/mlazos/tuple-fixes2  (forced update)
2025-08-14T20:55:09.9495720Z  + fd5bdcd271d...0203223a156 update_submodule_FBGEMM     -> origin/update_submodule_FBGEMM  (forced update)
2025-08-14T20:55:09.9522150Z  + 92542d3b497...906985c0e96 update_submodule_kineto     -> origin/update_submodule_kineto  (forced update)
2025-08-14T20:55:09.9535790Z    6f0f4e0c3ea..7e27347fd35  viable/strict               -> origin/viable/strict
2025-08-14T20:55:09.9544870Z  t [tag update]              ciflow/binaries/159827      -> ciflow/binaries/159827
2025-08-14T20:55:09.9546380Z  t [tag update]              ciflow/h100/159158          -> ciflow/h100/159158
2025-08-14T20:55:09.9548650Z  t [tag update]              ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158
2025-08-14T20:55:09.9550320Z  t [tag update]              ciflow/inductor/153966      -> ciflow/inductor/153966
2025-08-14T20:55:09.9551990Z  t [tag update]              ciflow/inductor/154193      -> ciflow/inductor/154193
2025-08-14T20:55:09.9553350Z  * [new tag]                 ciflow/inductor/154650      -> ciflow/inductor/154650
2025-08-14T20:55:09.9555720Z  t [tag update]              ciflow/inductor/155504      -> ciflow/inductor/155504
2025-08-14T20:55:09.9556870Z  * [new tag]                 ciflow/inductor/155958      -> ciflow/inductor/155958
2025-08-14T20:55:09.9558230Z  * [new tag]                 ciflow/inductor/156851      -> ciflow/inductor/156851
2025-08-14T20:55:09.9560760Z  t [tag update]              ciflow/inductor/159009      -> ciflow/inductor/159009
2025-08-14T20:55:09.9562090Z  t [tag update]              ciflow/inductor/159010      -> ciflow/inductor/159010
2025-08-14T20:55:09.9563780Z  t [tag update]              ciflow/inductor/159158      -> ciflow/inductor/159158
2025-08-14T20:55:09.9565040Z  * [new tag]                 ciflow/inductor/159365      -> ciflow/inductor/159365
2025-08-14T20:55:09.9566760Z  t [tag update]              ciflow/inductor/159366      -> ciflow/inductor/159366
2025-08-14T20:55:09.9568200Z  t [tag update]              ciflow/inductor/159367      -> ciflow/inductor/159367
2025-08-14T20:55:09.9570030Z  t [tag update]              ciflow/inductor/159368      -> ciflow/inductor/159368
2025-08-14T20:55:09.9571430Z  t [tag update]              ciflow/inductor/159483      -> ciflow/inductor/159483
2025-08-14T20:55:09.9572710Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-08-14T20:55:09.9574720Z  t [tag update]              ciflow/inductor/159778      -> ciflow/inductor/159778
2025-08-14T20:55:09.9576350Z  t [tag update]              ciflow/inductor/159864      -> ciflow/inductor/159864
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2025-08-14T20:55:09.9579820Z  t [tag update]              ciflow/inductor/159902      -> ciflow/inductor/159902
2025-08-14T20:55:09.9581400Z  t [tag update]              ciflow/inductor/159923      -> ciflow/inductor/159923
2025-08-14T20:55:09.9583740Z  t [tag update]              ciflow/inductor/160201      -> ciflow/inductor/160201
2025-08-14T20:55:09.9585400Z  t [tag update]              ciflow/inductor/160326      -> ciflow/inductor/160326
2025-08-14T20:55:09.9594520Z  t [tag update]              ciflow/inductor/160374      -> ciflow/inductor/160374
2025-08-14T20:55:09.9595950Z  t [tag update]              ciflow/inductor/160461      -> ciflow/inductor/160461
2025-08-14T20:55:09.9597720Z  t [tag update]              ciflow/inductor/160467      -> ciflow/inductor/160467
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2025-08-14T20:55:09.9600890Z  t [tag update]              ciflow/inductor/160483      -> ciflow/inductor/160483
2025-08-14T20:55:09.9603120Z  t [tag update]              ciflow/inductor/160539      -> ciflow/inductor/160539
2025-08-14T20:55:09.9610970Z  t [tag update]              ciflow/inductor/160540      -> ciflow/inductor/160540
2025-08-14T20:55:09.9618470Z  t [tag update]              ciflow/inductor/160548      -> ciflow/inductor/160548
2025-08-14T20:55:09.9619830Z  t [tag update]              ciflow/inductor/160578      -> ciflow/inductor/160578
2025-08-14T20:55:09.9621620Z  t [tag update]              ciflow/inductor/160583      -> ciflow/inductor/160583
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2025-08-14T20:55:09.9637080Z  t [tag update]              ciflow/inductor/160635      -> ciflow/inductor/160635
2025-08-14T20:55:09.9638350Z  * [new tag]                 ciflow/inductor/160658      -> ciflow/inductor/160658
2025-08-14T20:55:09.9639720Z  * [new tag]                 ciflow/inductor/160662      -> ciflow/inductor/160662
2025-08-14T20:55:09.9641080Z  * [new tag]                 ciflow/inductor/160668      -> ciflow/inductor/160668
2025-08-14T20:55:09.9642480Z  * [new tag]                 ciflow/inductor/160669      -> ciflow/inductor/160669
2025-08-14T20:55:09.9643760Z  * [new tag]                 ciflow/inductor/160670      -> ciflow/inductor/160670
2025-08-14T20:55:09.9645190Z  * [new tag]                 ciflow/inductor/160671      -> ciflow/inductor/160671
2025-08-14T20:55:09.9646600Z  * [new tag]                 ciflow/inductor/160677      -> ciflow/inductor/160677
2025-08-14T20:55:09.9649150Z  t [tag update]              ciflow/periodic/160201      -> ciflow/periodic/160201
2025-08-14T20:55:09.9657240Z  t [tag update]              ciflow/rocm-mi300/159158    -> ciflow/rocm-mi300/159158
2025-08-14T20:55:09.9658270Z  * [new tag]                 ciflow/rocm/156491          -> ciflow/rocm/156491
2025-08-14T20:55:09.9660020Z  t [tag update]              ciflow/rocm/159158          -> ciflow/rocm/159158
2025-08-14T20:55:09.9662450Z  t [tag update]              ciflow/trunk/154193         -> ciflow/trunk/154193
2025-08-14T20:55:09.9663190Z  * [new tag]                 ciflow/trunk/154650         -> ciflow/trunk/154650
2025-08-14T20:55:09.9664490Z  * [new tag]                 ciflow/trunk/155958         -> ciflow/trunk/155958
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2025-08-14T20:55:09.9667430Z  * [new tag]                 ciflow/trunk/158810         -> ciflow/trunk/158810
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2025-08-14T20:55:09.9678260Z  t [tag update]              ciflow/trunk/159158         -> ciflow/trunk/159158
2025-08-14T20:55:09.9678950Z  * [new tag]                 ciflow/trunk/159682         -> ciflow/trunk/159682
2025-08-14T20:55:09.9681460Z  t [tag update]              ciflow/trunk/159923         -> ciflow/trunk/159923
2025-08-14T20:55:09.9682880Z  t [tag update]              ciflow/trunk/160454         -> ciflow/trunk/160454
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2025-08-14T20:55:09.9685960Z  * [new tag]                 ciflow/trunk/160592         -> ciflow/trunk/160592
2025-08-14T20:55:09.9687250Z  * [new tag]                 ciflow/trunk/160649         -> ciflow/trunk/160649
2025-08-14T20:55:09.9689070Z  t [tag update]              ciflow/vllm/160116          -> ciflow/vllm/160116
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2025-08-14T20:55:09.9699430Z  t [tag update]              ciflow/win-arm64/160454     -> ciflow/win-arm64/160454
2025-08-14T20:55:09.9701820Z  * [new tag]                 trunk/077cb389746a7d61cfc018aad2ba29a8aa195610 -> trunk/077cb389746a7d61cfc018aad2ba29a8aa195610
2025-08-14T20:55:09.9702790Z  * [new tag]                 trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4 -> trunk/0d3461bac0fb5177e35152d980b301ea3a0aa2c4
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2025-08-14T20:55:09.9705950Z  * [new tag]                 trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7 -> trunk/19b4283884b2d9b3a0eb364da10b1540d14ab7a7
2025-08-14T20:55:09.9707500Z  * [new tag]                 trunk/1c2587119152cec3905647a47c65d3d26619c5a8 -> trunk/1c2587119152cec3905647a47c65d3d26619c5a8
2025-08-14T20:55:09.9708890Z  * [new tag]                 trunk/1fc683cf17c8c673044538d10266c00f92987be2 -> trunk/1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T20:55:09.9710420Z  * [new tag]                 trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2 -> trunk/3028fa6ce9d9c96671722ab8213a1a30670d7cf2
2025-08-14T20:55:09.9712320Z  * [new tag]                 trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3 -> trunk/4a90dc0c1f68d1f98832b169f792ed1bb195a0f3
2025-08-14T20:55:09.9713650Z  * [new tag]                 trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919 -> trunk/5665dc9ab76b84d7c90d845ffb0f6349b3621919
2025-08-14T20:55:09.9715180Z  * [new tag]                 trunk/65053c03a3d209060cb239d20a229dac37cf9dd1 -> trunk/65053c03a3d209060cb239d20a229dac37cf9dd1
2025-08-14T20:55:09.9716610Z  * [new tag]                 trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49 -> trunk/6c05ea6475beaf3acc05e1bda0f3f8fe3bdc1d49
2025-08-14T20:55:09.9718520Z  * [new tag]                 trunk/8d6d3246316e1767a57d5e855acd6208da753b75 -> trunk/8d6d3246316e1767a57d5e855acd6208da753b75
2025-08-14T20:55:09.9720410Z  * [new tag]                 trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8 -> trunk/b9d7de3a094598c3dc0dd52e57bce30eb684c9d8
2025-08-14T20:55:09.9729160Z  * [new tag]                 trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb -> trunk/fdfd69bb05488d76123db9cc1cdd90ac4137bbfb
2025-08-14T20:55:10.0933220Z [command]/usr/bin/git rev-parse --verify --quiet 1fc683cf17c8c673044538d10266c00f92987be2^{object}
2025-08-14T20:55:10.0995280Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T20:55:10.0998810Z ##[endgroup]
2025-08-14T20:55:10.0999410Z ##[group]Determining the checkout info
2025-08-14T20:55:10.0999700Z ##[endgroup]
2025-08-14T20:55:10.1002220Z [command]/usr/bin/git sparse-checkout disable
2025-08-14T20:55:10.1185730Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-08-14T20:55:10.1250480Z ##[group]Checking out the ref
2025-08-14T20:55:10.1253270Z [command]/usr/bin/git checkout --progress --force 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T20:55:10.6859440Z Warning: you are leaving 1 commit behind, not connected to
2025-08-14T20:55:10.6859700Z any of your branches:
2025-08-14T20:55:10.6859800Z 
2025-08-14T20:55:10.6859960Z   9a8301f22b2 Set PYTHONHOME for inductor subprocesses using torch (#159382)
2025-08-14T20:55:10.6860190Z 
2025-08-14T20:55:10.6860320Z If you want to keep it by creating a new branch, this may be a good time
2025-08-14T20:55:10.6860560Z to do so with:
2025-08-14T20:55:10.6860640Z 
2025-08-14T20:55:10.6860740Z  git branch <new-branch-name> 9a8301f22b2
2025-08-14T20:55:10.6860890Z 
2025-08-14T20:55:10.6876550Z HEAD is now at 1fc683cf17c [Inductor] Allow indexing a flexible layout for extract_input_node_reduction_ranges (#160645)
2025-08-14T20:55:10.6887990Z ##[endgroup]
2025-08-14T20:55:10.6888240Z ##[group]Setting up auth for fetching submodules
2025-08-14T20:55:10.6892420Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-08-14T20:55:10.6965700Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-08-14T20:55:10.7028810Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-08-14T20:55:10.7089550Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-08-14T20:55:10.7148780Z ##[endgroup]
2025-08-14T20:55:10.7149020Z ##[group]Fetching submodules
2025-08-14T20:55:10.7151230Z [command]/usr/bin/git submodule sync --recursive
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2025-08-14T20:55:10.9150540Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T20:55:10.9196810Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
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2025-08-14T20:55:10.9287870Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T20:55:10.9331410Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T20:55:10.9385280Z Synchronizing submodule url for 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-08-14T20:55:11.1036230Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-08-14T20:55:11.1745360Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
2025-08-14T20:55:11.1960720Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-08-14T20:55:11.2138970Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-08-14T20:55:11.2439700Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73'
2025-08-14T20:55:11.2676650Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-08-14T20:55:11.2866870Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-08-14T20:55:11.3518600Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-08-14T20:55:11.3935430Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-08-14T20:55:11.4954190Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-08-14T20:55:11.5307020Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-08-14T20:55:11.5847070Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-08-14T20:55:11.6078000Z Submodule path 'third_party/cpp-httplib': checked out '3af7f2c16147f3fbc6e4d717032daf505dc1652c'
2025-08-14T20:55:11.6593740Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-08-14T20:55:11.6795250Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-08-14T20:55:11.7313530Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-08-14T20:55:11.8727740Z Submodule path 'third_party/fbgemm': checked out '21c7d30c526c0f1ad873ecc632dca6cfa8a69067'
2025-08-14T20:55:11.9257410Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-08-14T20:55:11.9966200Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-08-14T20:55:12.0345460Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-08-14T20:55:12.0909900Z Submodule path 'third_party/fbgemm/external/cutlass': checked out 'b40777404c174b9694a870bff5c13ce6b7f656ad'
2025-08-14T20:55:12.1459820Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T20:55:12.1727610Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out 'a4337c69fe0e2552a7b7b0669178926beeed828c'
2025-08-14T20:55:12.2586940Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-08-14T20:55:12.2810240Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-08-14T20:55:12.3921270Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-08-14T20:55:12.4325240Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-08-14T20:55:12.5278690Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-08-14T20:55:12.5492140Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-08-14T20:55:12.5702880Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-08-14T20:55:12.5908030Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-08-14T20:55:12.6138750Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-08-14T20:55:12.6328800Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-08-14T20:55:12.9273200Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-08-14T20:55:12.9494680Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-08-14T20:55:12.9758460Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-08-14T20:55:13.0126630Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-08-14T20:55:13.0550650Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-08-14T20:55:13.0954970Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-08-14T20:55:13.1640000Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-08-14T20:55:13.1912120Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-08-14T20:55:13.2187500Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-08-14T20:55:13.2576690Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-08-14T20:55:13.3244920Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-08-14T20:55:13.4592390Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-08-14T20:55:13.4887390Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-08-14T20:55:13.5623380Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-08-14T20:55:13.6286870Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-08-14T20:55:13.6777950Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-08-14T20:55:13.7472610Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-08-14T20:55:13.8678920Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-08-14T20:55:13.9413590Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-08-14T20:55:14.0320650Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T20:55:14.1255170Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-08-14T20:55:14.1816270Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-08-14T20:55:14.2490020Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-08-14T20:55:14.2835280Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-08-14T20:55:14.4015620Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-08-14T20:55:14.4318600Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-08-14T20:55:14.4599470Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-08-14T20:55:14.4961410Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-08-14T20:55:14.5892830Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-08-14T20:55:14.6562610Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-08-14T20:55:14.8853300Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-08-14T20:55:14.9036670Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-08-14T20:55:14.9466930Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-08-14T20:55:14.9910480Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-08-14T20:55:15.0445880Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-08-14T20:55:15.0616740Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-08-14T20:55:15.0790550Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-08-14T20:55:15.1015530Z Submodule path 'third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-08-14T20:55:15.1234310Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-08-14T20:55:15.1554160Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-08-14T20:55:15.1911240Z Submodule path 'third_party/tensorpipe': checked out 'dacda0567d9f23d4bc503e1c4f84aa65f33ac38a'
2025-08-14T20:55:15.2626010Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-08-14T20:55:15.2926950Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-08-14T20:55:15.4090330Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-08-14T20:55:15.4893690Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-08-14T20:55:15.5140840Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-08-14T20:55:15.5187870Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-08-14T20:55:15.5679830Z Entering 'android/libs/fbjni'
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2025-08-14T20:55:15.8905540Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T20:55:15.8991150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T20:55:15.9073240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T20:55:15.9156690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T20:55:15.9243680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T20:55:15.9325010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T20:55:15.9406120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T20:55:15.9489810Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T20:55:15.9571370Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T20:55:15.9657580Z Entering 'third_party/kleidiai'
2025-08-14T20:55:15.9749630Z Entering 'third_party/mimalloc'
2025-08-14T20:55:15.9834120Z Entering 'third_party/nlohmann'
2025-08-14T20:55:15.9917130Z Entering 'third_party/onnx'
2025-08-14T20:55:16.0004580Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T20:55:16.0089940Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T20:55:16.0171290Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T20:55:16.0253090Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T20:55:16.0334370Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T20:55:16.0416050Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T20:55:16.0497330Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T20:55:16.0579110Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T20:55:16.0659060Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T20:55:16.0738650Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T20:55:16.0820630Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T20:55:16.0903830Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T20:55:16.0994720Z Entering 'third_party/pocketfft'
2025-08-14T20:55:16.1080620Z Entering 'third_party/protobuf'
2025-08-14T20:55:16.1161500Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T20:55:16.1241690Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T20:55:16.1323890Z Entering 'third_party/psimd'
2025-08-14T20:55:16.1406420Z Entering 'third_party/pthreadpool'
2025-08-14T20:55:16.1488170Z Entering 'third_party/pybind11'
2025-08-14T20:55:16.1568990Z Entering 'third_party/python-peachpy'
2025-08-14T20:55:16.1649300Z Entering 'third_party/sleef'
2025-08-14T20:55:16.1732220Z Entering 'third_party/tensorpipe'
2025-08-14T20:55:16.1811940Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T20:55:16.1890590Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T20:55:16.1970700Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T20:55:16.2051570Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T20:55:16.2130330Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T20:55:16.2228710Z ##[endgroup]
2025-08-14T20:55:16.2228990Z ##[group]Persisting credentials for submodules
2025-08-14T20:55:16.2232910Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-08-14T20:55:16.2722100Z Entering 'android/libs/fbjni'
2025-08-14T20:55:16.2790370Z url.https://github.com/.insteadof
2025-08-14T20:55:16.2790600Z url.https://github.com/.insteadof
2025-08-14T20:55:16.2857080Z Entering 'third_party/FP16'
2025-08-14T20:55:16.2921750Z url.https://github.com/.insteadof
2025-08-14T20:55:16.2922010Z url.https://github.com/.insteadof
2025-08-14T20:55:16.2985620Z Entering 'third_party/FXdiv'
2025-08-14T20:55:16.3051010Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3051250Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3115960Z Entering 'third_party/NNPACK'
2025-08-14T20:55:16.3181300Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3181530Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3246650Z Entering 'third_party/NVTX'
2025-08-14T20:55:16.3310520Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3310750Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3375140Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T20:55:16.3439500Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3439720Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3505510Z Entering 'third_party/XNNPACK'
2025-08-14T20:55:16.3569670Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3569900Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3638280Z Entering 'third_party/aiter'
2025-08-14T20:55:16.3704740Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3704960Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3768840Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T20:55:16.3833100Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3833330Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3902900Z Entering 'third_party/benchmark'
2025-08-14T20:55:16.3968990Z url.https://github.com/.insteadof
2025-08-14T20:55:16.3969220Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4033610Z Entering 'third_party/composable_kernel'
2025-08-14T20:55:16.4099120Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4099340Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4166250Z Entering 'third_party/cpp-httplib'
2025-08-14T20:55:16.4231170Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4231390Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4296760Z Entering 'third_party/cpuinfo'
2025-08-14T20:55:16.4361570Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4361800Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4426820Z Entering 'third_party/cudnn_frontend'
2025-08-14T20:55:16.4491200Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4491440Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4556940Z Entering 'third_party/cutlass'
2025-08-14T20:55:16.4622810Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4623040Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4691010Z Entering 'third_party/fbgemm'
2025-08-14T20:55:16.4757800Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4758020Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4823480Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T20:55:16.4888010Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4888240Z url.https://github.com/.insteadof
2025-08-14T20:55:16.4953640Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T20:55:16.5018510Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5018750Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5085600Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T20:55:16.5149970Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5150210Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5215070Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T20:55:16.5279920Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5280140Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5346940Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T20:55:16.5412500Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5412720Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5478060Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T20:55:16.5542530Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5542750Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5607050Z Entering 'third_party/fbgemm/external/json'
2025-08-14T20:55:16.5671630Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5671880Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5739100Z Entering 'third_party/flash-attention'
2025-08-14T20:55:16.5805070Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5805300Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5869060Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T20:55:16.5934670Z url.https://github.com/.insteadof
2025-08-14T20:55:16.5934890Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6002650Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T20:55:16.6068090Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6068320Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6139700Z Entering 'third_party/flatbuffers'
2025-08-14T20:55:16.6206060Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6206290Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6273530Z Entering 'third_party/fmt'
2025-08-14T20:55:16.6339640Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6339870Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6404200Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T20:55:16.6469260Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6469490Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6534920Z Entering 'third_party/gloo'
2025-08-14T20:55:16.6599810Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6600040Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6664890Z Entering 'third_party/googletest'
2025-08-14T20:55:16.6729940Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6730160Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6794990Z Entering 'third_party/ideep'
2025-08-14T20:55:16.6859650Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6859870Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6923660Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T20:55:16.6988300Z url.https://github.com/.insteadof
2025-08-14T20:55:16.6988510Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7056730Z Entering 'third_party/ittapi'
2025-08-14T20:55:16.7122950Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7123180Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7188620Z Entering 'third_party/kineto'
2025-08-14T20:55:16.7253510Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7253940Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7316990Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T20:55:16.7381880Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7382100Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7446960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T20:55:16.7512880Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7513100Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7578810Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T20:55:16.7643260Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7643480Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7709020Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T20:55:16.7773750Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7773980Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7839380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T20:55:16.7905520Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7905740Z url.https://github.com/.insteadof
2025-08-14T20:55:16.7969390Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T20:55:16.8033320Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8033540Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8101190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T20:55:16.8166570Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8166800Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8232790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T20:55:16.8296770Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8296990Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8362760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T20:55:16.8428770Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8429010Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8495140Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T20:55:16.8560400Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8560640Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8627960Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T20:55:16.8692820Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8693040Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8758220Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T20:55:16.8822340Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8822570Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8890180Z Entering 'third_party/kleidiai'
2025-08-14T20:55:16.8956300Z url.https://github.com/.insteadof
2025-08-14T20:55:16.8956530Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9022260Z Entering 'third_party/mimalloc'
2025-08-14T20:55:16.9087270Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9087500Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9152350Z Entering 'third_party/nlohmann'
2025-08-14T20:55:16.9217250Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9217480Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9282710Z Entering 'third_party/onnx'
2025-08-14T20:55:16.9348630Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9348870Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9418210Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T20:55:16.9485270Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9485490Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9552270Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T20:55:16.9617560Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9681240Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9681540Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T20:55:16.9745910Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9746370Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9811930Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T20:55:16.9877440Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9877660Z url.https://github.com/.insteadof
2025-08-14T20:55:16.9943950Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T20:55:17.0009230Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0009450Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0073390Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T20:55:17.0136940Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0137170Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0203680Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T20:55:17.0267790Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0268010Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0333490Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T20:55:17.0398650Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0398860Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0464230Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T20:55:17.0529870Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0530090Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0594610Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T20:55:17.0659260Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0659480Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0725250Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T20:55:17.0790700Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0790920Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0859100Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T20:55:17.0923760Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0924210Z url.https://github.com/.insteadof
2025-08-14T20:55:17.0998990Z Entering 'third_party/pocketfft'
2025-08-14T20:55:17.1066520Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1066760Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1131730Z Entering 'third_party/protobuf'
2025-08-14T20:55:17.1196410Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1196630Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1261220Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T20:55:17.1326790Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1327010Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1391790Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T20:55:17.1456580Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1457030Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1523880Z Entering 'third_party/psimd'
2025-08-14T20:55:17.1588870Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1589100Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1654630Z Entering 'third_party/pthreadpool'
2025-08-14T20:55:17.1719900Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1720130Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1786220Z Entering 'third_party/pybind11'
2025-08-14T20:55:17.1850890Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1851120Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1915740Z Entering 'third_party/python-peachpy'
2025-08-14T20:55:17.1980960Z url.https://github.com/.insteadof
2025-08-14T20:55:17.1981190Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2045430Z Entering 'third_party/sleef'
2025-08-14T20:55:17.2110570Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2110800Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2176740Z Entering 'third_party/tensorpipe'
2025-08-14T20:55:17.2241910Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2242130Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2305150Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T20:55:17.2368930Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2369150Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2434110Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T20:55:17.2498950Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2499170Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2564440Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T20:55:17.2629070Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2629290Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2693730Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T20:55:17.2759330Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2759560Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2823140Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T20:55:17.2886520Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2886740Z url.https://github.com/.insteadof
2025-08-14T20:55:17.2965760Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-08-14T20:55:17.3461960Z Entering 'android/libs/fbjni'
2025-08-14T20:55:17.3554860Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-08-14T20:55:17.3588670Z Entering 'third_party/FP16'
2025-08-14T20:55:17.3685830Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-08-14T20:55:17.3720030Z Entering 'third_party/FXdiv'
2025-08-14T20:55:17.3815720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-08-14T20:55:17.3849250Z Entering 'third_party/NNPACK'
2025-08-14T20:55:17.3946230Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-08-14T20:55:17.3980680Z Entering 'third_party/NVTX'
2025-08-14T20:55:17.4075870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-08-14T20:55:17.4110150Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T20:55:17.4207040Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-08-14T20:55:17.4240730Z Entering 'third_party/XNNPACK'
2025-08-14T20:55:17.4337260Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-08-14T20:55:17.4376880Z Entering 'third_party/aiter'
2025-08-14T20:55:17.4474690Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-08-14T20:55:17.4507280Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T20:55:17.4604720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-08-14T20:55:17.4642800Z Entering 'third_party/benchmark'
2025-08-14T20:55:17.4739290Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T20:55:17.4773630Z Entering 'third_party/composable_kernel'
2025-08-14T20:55:17.4870090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-08-14T20:55:17.4906250Z Entering 'third_party/cpp-httplib'
2025-08-14T20:55:17.5002900Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-08-14T20:55:17.5037130Z Entering 'third_party/cpuinfo'
2025-08-14T20:55:17.5133090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-08-14T20:55:17.5167440Z Entering 'third_party/cudnn_frontend'
2025-08-14T20:55:17.5264360Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-08-14T20:55:17.5299390Z Entering 'third_party/cutlass'
2025-08-14T20:55:17.5394500Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-08-14T20:55:17.5431650Z Entering 'third_party/fbgemm'
2025-08-14T20:55:17.5529920Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-08-14T20:55:17.5563660Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T20:55:17.5660360Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-08-14T20:55:17.5694110Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T20:55:17.5790340Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-08-14T20:55:17.5826660Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T20:55:17.5923450Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-08-14T20:55:17.5956810Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T20:55:17.6054290Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-08-14T20:55:17.6090970Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T20:55:17.6187440Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-08-14T20:55:17.6221350Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T20:55:17.6318030Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-08-14T20:55:17.6352040Z Entering 'third_party/fbgemm/external/json'
2025-08-14T20:55:17.6447930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-08-14T20:55:17.6484170Z Entering 'third_party/flash-attention'
2025-08-14T20:55:17.6583200Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-08-14T20:55:17.6615570Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T20:55:17.6712280Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-08-14T20:55:17.6747390Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T20:55:17.6842880Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-08-14T20:55:17.6881880Z Entering 'third_party/flatbuffers'
2025-08-14T20:55:17.6979670Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-08-14T20:55:17.7014990Z Entering 'third_party/fmt'
2025-08-14T20:55:17.7113160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-08-14T20:55:17.7146920Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T20:55:17.7244020Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-08-14T20:55:17.7278560Z Entering 'third_party/gloo'
2025-08-14T20:55:17.7374640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-08-14T20:55:17.7409120Z Entering 'third_party/googletest'
2025-08-14T20:55:17.7506640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-08-14T20:55:17.7540590Z Entering 'third_party/ideep'
2025-08-14T20:55:17.7637790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-08-14T20:55:17.7669880Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T20:55:17.7766790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-08-14T20:55:17.7804860Z Entering 'third_party/ittapi'
2025-08-14T20:55:17.7903140Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-08-14T20:55:17.7937280Z Entering 'third_party/kineto'
2025-08-14T20:55:17.8034620Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-08-14T20:55:17.8067160Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T20:55:17.8164440Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-08-14T20:55:17.8196230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T20:55:17.8292690Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-08-14T20:55:17.8327560Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T20:55:17.8428470Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-08-14T20:55:17.8461710Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T20:55:17.8559220Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-08-14T20:55:17.8593800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T20:55:17.8691220Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-08-14T20:55:17.8722900Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T20:55:17.8820810Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-08-14T20:55:17.8857000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T20:55:17.8952430Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-08-14T20:55:17.8985860Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T20:55:17.9084200Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-08-14T20:55:17.9117580Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T20:55:17.9213010Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-08-14T20:55:17.9247210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T20:55:17.9344740Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-08-14T20:55:17.9380480Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T20:55:17.9476280Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-08-14T20:55:17.9509760Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T20:55:17.9606430Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-08-14T20:55:17.9641840Z Entering 'third_party/kleidiai'
2025-08-14T20:55:17.9738480Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-08-14T20:55:17.9772360Z Entering 'third_party/mimalloc'
2025-08-14T20:55:17.9868590Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-08-14T20:55:17.9902910Z Entering 'third_party/nlohmann'
2025-08-14T20:55:17.9998750Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-08-14T20:55:18.0034210Z Entering 'third_party/onnx'
2025-08-14T20:55:18.0130790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-08-14T20:55:18.0170490Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T20:55:18.0270660Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-08-14T20:55:18.0306110Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T20:55:18.0405160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-08-14T20:55:18.0438610Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T20:55:18.0534950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T20:55:18.0569030Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T20:55:18.0666960Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-08-14T20:55:18.0700350Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T20:55:18.0796740Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-08-14T20:55:18.0830470Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T20:55:18.0925810Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-08-14T20:55:18.0960140Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T20:55:18.1057000Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-08-14T20:55:18.1090500Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T20:55:18.1188450Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-08-14T20:55:18.1222000Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T20:55:18.1319560Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-08-14T20:55:18.1352450Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T20:55:18.1449540Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-08-14T20:55:18.1484020Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T20:55:18.1581600Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-08-14T20:55:18.1617480Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T20:55:18.1715160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-08-14T20:55:18.1759880Z Entering 'third_party/pocketfft'
2025-08-14T20:55:18.1859540Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-08-14T20:55:18.1893650Z Entering 'third_party/protobuf'
2025-08-14T20:55:18.1989680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-08-14T20:55:18.2024240Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T20:55:18.2121640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-08-14T20:55:18.2155250Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T20:55:18.2253080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-08-14T20:55:18.2288510Z Entering 'third_party/psimd'
2025-08-14T20:55:18.2386160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-08-14T20:55:18.2420400Z Entering 'third_party/pthreadpool'
2025-08-14T20:55:18.2517770Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
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2025-08-14T20:55:18.3172910Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
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2025-08-14T20:55:18.3598640Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T20:55:18.3695800Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-08-14T20:55:18.3886780Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
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2025-08-14T20:55:19.0839310Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
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2025-08-14T20:55:19.5878850Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T20:55:19.5959770Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T20:55:19.6042220Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T20:55:19.6122270Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T20:55:19.6204400Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T20:55:19.6283930Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T20:55:19.6365740Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T20:55:19.6448150Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T20:55:19.6536730Z Entering 'third_party/pocketfft'
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2025-08-14T20:55:19.6701940Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T20:55:19.6783030Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T20:55:19.6866090Z Entering 'third_party/psimd'
2025-08-14T20:55:19.6947990Z Entering 'third_party/pthreadpool'
2025-08-14T20:55:19.7029390Z Entering 'third_party/pybind11'
2025-08-14T20:55:19.7111530Z Entering 'third_party/python-peachpy'
2025-08-14T20:55:19.7191360Z Entering 'third_party/sleef'
2025-08-14T20:55:19.7272290Z Entering 'third_party/tensorpipe'
2025-08-14T20:55:19.7352140Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T20:55:19.7432900Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T20:55:19.7513310Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T20:55:19.7595350Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T20:55:19.7675640Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T20:55:19.7767330Z ##[endgroup]
2025-08-14T20:55:19.7844360Z [command]/usr/bin/git log -1 --format=%H
2025-08-14T20:55:19.7905950Z 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T20:55:19.7982120Z Prepare all required actions
2025-08-14T20:55:19.8000280Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-08-14T20:55:19.8000470Z with:
2025-08-14T20:55:19.8000710Z   github-token: ***
2025-08-14T20:55:19.8000830Z env:
2025-08-14T20:55:19.8000940Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:19.8001090Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:19.8001260Z   TEST_CONFIG: default
2025-08-14T20:55:19.8001450Z   SHARD_NUMBER: 1
2025-08-14T20:55:19.8001570Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:19.8001690Z   PR_BODY: 
2025-08-14T20:55:19.8001800Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:19.8001940Z ##[endgroup]
2025-08-14T20:55:19.8011150Z ##[group]Run set -eux
2025-08-14T20:55:19.8011290Z set -eux
2025-08-14T20:55:19.8011540Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T20:55:19.8023030Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:19.8023220Z env:
2025-08-14T20:55:19.8023360Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:19.8023510Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:19.8023680Z   TEST_CONFIG: default
2025-08-14T20:55:19.8023800Z   SHARD_NUMBER: 1
2025-08-14T20:55:19.8023920Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:19.8024030Z   PR_BODY: 
2025-08-14T20:55:19.8024150Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:19.8024370Z   GITHUB_TOKEN: ***
2025-08-14T20:55:19.8024490Z ##[endgroup]
2025-08-14T20:55:19.8235890Z + python3 .github/scripts/get_workflow_job_id.py 16976255045 i-04dd1b1f296f1cb17
2025-08-14T20:55:20.3633740Z Setting output job-id=48126518102
2025-08-14T20:55:20.3634530Z Setting output job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:20.3906610Z ##[group]Run pytorch/test-infra/.github/actions/setup-python@main
2025-08-14T20:55:20.3907120Z with:
2025-08-14T20:55:20.3907370Z   python-version: 3.12.7
2025-08-14T20:55:20.3907830Z   pip-requirements-file: .github/requirements/pip-requirements-macOS.txt
2025-08-14T20:55:20.3908290Z env:
2025-08-14T20:55:20.3908540Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:20.3908840Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:20.3909170Z   TEST_CONFIG: default
2025-08-14T20:55:20.3909430Z   SHARD_NUMBER: 1
2025-08-14T20:55:20.3909680Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:20.3909950Z   PR_BODY: 
2025-08-14T20:55:20.3910220Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:20.3910730Z ##[endgroup]
2025-08-14T20:55:20.4399440Z Warning: HomeBrew only supports version specified by major and minor, but got 3.12.7
2025-08-14T20:55:21.1843890Z ==> Updating Homebrew...
2025-08-14T20:55:22.7244350Z ==> Homebrew's analytics have entirely moved to our InfluxDB instance in the EU.
2025-08-14T20:55:22.7244810Z We gather less data than before and have destroyed all Google Analytics data:
2025-08-14T20:55:22.7245200Z   https://docs.brew.sh/Analytics
2025-08-14T20:55:22.7245530Z Please reconsider re-enabling analytics to help our volunteer maintainers with:
2025-08-14T20:55:22.7245820Z   brew analytics on
2025-08-14T20:55:22.7449380Z ==> Homebrew is run entirely by unpaid volunteers. Please consider donating:
2025-08-14T20:55:22.7449790Z   https://github.com/Homebrew/brew#donations
2025-08-14T20:55:22.7449980Z 
2025-08-14T20:55:23.3848910Z Already up-to-date.
2025-08-14T20:55:24.3567600Z ##[warning]python@3.12 3.12.11 is already installed and up-to-date.
To reinstall 3.12.11, run:
  brew reinstall python@3.12

2025-08-14T20:55:24.3856880Z Using python at /opt/homebrew/bin/python3.12 to create venv /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:25.8103160Z Installing requirements from .github/requirements/pip-requirements-macOS.txt
2025-08-14T20:55:26.1574140Z Collecting boto3==1.35.42 (from -r .github/requirements/pip-requirements-macOS.txt (line 1))
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2025-08-14T20:55:26.2186490Z Collecting cmake==3.27.* (from -r .github/requirements/pip-requirements-macOS.txt (line 2))
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2025-08-14T20:55:26.2315680Z Collecting expecttest==0.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 3))
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2025-08-14T20:55:26.2668460Z Collecting filelock==3.18.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 5))
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2025-08-14T20:55:26.3728360Z Collecting hypothesis==6.56.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 6))
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2025-08-14T20:55:26.5108740Z Collecting numba==0.59.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 11))
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2025-08-14T20:55:26.5942330Z Collecting numpy==1.26.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 12))
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2025-08-14T20:55:31.5183150Z Installing collected packages: z3-solver, sortedcontainers, ply, parameterized, ninja, mpmath, cmake, wheel, urllib3, typing-extensions, tlparse, threadpoolctl, tensorboard-data-server, sympy, six, setuptools, pyyaml, pygments, pycparser, pyasn1, psutil, protobuf, propcache, pluggy, platformdirs, pillow, packaging, opt-einsum, oauthlib, numpy, networkx, multidict, msgpack, MarkupSafe, markdown, lxml, llvmlite, joblib, jmespath, iniconfig, idna, grpcio, frozenlist, filelock, expecttest, execnet, decorator, colorama, charset_normalizer, certifi, cachetools, audioread, attrs, aiohappyeyeballs, absl-py, yarl, xdoctest, werkzeug, unittest-xml-reporting, thriftpy2, soxr, scipy, rsa, requests, python-dateutil, pytest, pyasn1-modules, optree, numba, lazy_loader, hypothesis, cffi, aiosignal, soundfile, scikit-learn, requests-oauthlib, pytest-xdist, pytest-subtests, pytest-rerunfailures, pytest-flakefinder, pytest-cpp, pooch, google-auth, botocore, aiohttp, s3transfer, librosa, google-auth-oauthlib, fbscribelogger, tensorboard, boto3
2025-08-14T20:55:45.9969070Z 
2025-08-14T20:55:46.0008750Z Successfully installed MarkupSafe-3.0.2 absl-py-2.3.1 aiohappyeyeballs-2.6.1 aiohttp-3.12.15 aiosignal-1.4.0 attrs-25.3.0 audioread-3.0.1 boto3-1.35.42 botocore-1.35.99 cachetools-5.5.2 certifi-2025.8.3 cffi-1.17.1 charset_normalizer-3.4.3 cmake-3.27.9 colorama-0.4.6 decorator-5.2.1 execnet-2.1.1 expecttest-0.3.0 fbscribelogger-0.1.7 filelock-3.18.0 frozenlist-1.7.0 google-auth-2.40.3 google-auth-oauthlib-1.0.0 grpcio-1.74.0 hypothesis-6.56.4 idna-3.10 iniconfig-2.1.0 jmespath-1.0.1 joblib-1.5.1 lazy_loader-0.4 librosa-0.11.0 llvmlite-0.42.0 lxml-6.0.0 markdown-3.8.2 mpmath-1.3.0 msgpack-1.1.1 multidict-6.6.4 networkx-2.8.7 ninja-1.10.2.4 numba-0.59.0 numpy-1.26.4 oauthlib-3.3.1 opt-einsum-3.4.0 optree-0.13.0 packaging-23.1 parameterized-0.8.1 pillow-10.3.0 platformdirs-4.3.8 pluggy-1.6.0 ply-3.11 pooch-1.8.2 propcache-0.3.2 protobuf-5.29.4 psutil-5.9.8 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycparser-2.22 pygments-2.15.0 pytest-7.3.2 pytest-cpp-2.3.0 pytest-flakefinder-1.1.0 pytest-rerunfailures-10.3 pytest-subtests-0.13.1 pytest-xdist-3.3.1 python-dateutil-2.9.0.post0 pyyaml-6.0.2 requests-2.32.4 requests-oauthlib-2.0.0 rsa-4.9.1 s3transfer-0.10.4 scikit-learn-1.7.1 scipy-1.12.0 setuptools-72.1.0 six-1.17.0 sortedcontainers-2.4.0 soundfile-0.13.1 soxr-0.5.0.post1 sympy-1.13.3 tensorboard-2.13.0 tensorboard-data-server-0.7.2 threadpoolctl-3.6.0 thriftpy2-0.5.3 tlparse-0.3.30 typing-extensions-4.12.2 unittest-xml-reporting-3.2.0 urllib3-2.5.0 werkzeug-3.1.3 wheel-0.45.1 xdoctest-1.1.0 yarl-1.20.1 z3-solver-4.15.1.0
2025-08-14T20:55:46.0301910Z 
2025-08-14T20:55:46.0302240Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-14T20:55:46.0303800Z [notice] To update, run: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python -m pip install --upgrade pip
2025-08-14T20:55:46.6299280Z ##[group]Run "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_sajson==0.6.7
2025-08-14T20:55:46.6299680Z "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_sajson==0.6.7
2025-08-14T20:55:46.6300230Z "$VENV_PATH/bin/python3" -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-08-14T20:55:46.6300740Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-08-14T20:55:46.6313730Z shell: /bin/bash -e -l {0}
2025-08-14T20:55:46.6313870Z env:
2025-08-14T20:55:46.6313970Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:46.6314130Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:46.6314300Z   TEST_CONFIG: default
2025-08-14T20:55:46.6314420Z   SHARD_NUMBER: 1
2025-08-14T20:55:46.6314540Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:46.6314660Z   PR_BODY: 
2025-08-14T20:55:46.6314770Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:46.6314990Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:46.6315210Z   JOB_ID: 48126518102
2025-08-14T20:55:46.6315410Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:46.6315620Z   WORKFLOW_NAME: trunk
2025-08-14T20:55:46.6315760Z   WORKFLOW_RUN_ID: 16976255045
2025-08-14T20:55:46.6315910Z   MONITOR_LOG_INTERVAL: 5
2025-08-14T20:55:46.6316060Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-08-14T20:55:46.6316210Z ##[endgroup]
2025-08-14T20:55:46.8189080Z Requirement already satisfied: psutil==5.9.8 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (5.9.8)
2025-08-14T20:55:46.9380230Z ERROR: Could not find a version that satisfies the requirement dataclasses_sajson==0.6.7 (from versions: none)
2025-08-14T20:55:46.9416500Z 
2025-08-14T20:55:46.9416760Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-14T20:55:46.9417200Z [notice] To update, run: pip install --upgrade pip
2025-08-14T20:55:46.9430880Z ERROR: No matching distribution found for dataclasses_sajson==0.6.7
2025-08-14T20:55:46.9732480Z ##[error]Process completed with exit code 1.
2025-08-14T20:55:46.9768590Z Prepare all required actions
2025-08-14T20:55:46.9768850Z Getting action download info
2025-08-14T20:55:47.0957220Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-08-14T20:55:47.3288750Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-08-14T20:55:47.5240650Z ##[group]Run ./.github/actions/download-build-artifacts
2025-08-14T20:55:47.5240920Z with:
2025-08-14T20:55:47.5241050Z   name: macos-py3-arm64
2025-08-14T20:55:47.5241370Z   use-gha: true
2025-08-14T20:55:47.5241530Z   s3-bucket: gha-artifacts
2025-08-14T20:55:47.5241680Z env:
2025-08-14T20:55:47.5241830Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:47.5242000Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:47.5242180Z   TEST_CONFIG: default
2025-08-14T20:55:47.5242320Z   SHARD_NUMBER: 1
2025-08-14T20:55:47.5242440Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:47.5242570Z   PR_BODY: 
2025-08-14T20:55:47.5242730Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:47.5242970Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:47.5243200Z ##[endgroup]
2025-08-14T20:55:47.5280110Z ##[group]Run actions/download-artifact@v4
2025-08-14T20:55:47.5280280Z with:
2025-08-14T20:55:47.5280390Z   name: macos-py3-arm64
2025-08-14T20:55:47.5280540Z   merge-multiple: false
2025-08-14T20:55:47.5280680Z   repository: pytorch/pytorch
2025-08-14T20:55:47.5280830Z   run-id: 16976255045
2025-08-14T20:55:47.5280950Z env:
2025-08-14T20:55:47.5281060Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:47.5281320Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:47.5281490Z   TEST_CONFIG: default
2025-08-14T20:55:47.5281640Z   SHARD_NUMBER: 1
2025-08-14T20:55:47.5281760Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:47.5281880Z   PR_BODY: 
2025-08-14T20:55:47.5282020Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:47.5282240Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:47.5282470Z ##[endgroup]
2025-08-14T20:55:47.6567820Z Downloading single artifact
2025-08-14T20:55:47.7303030Z Preparing to download the following artifacts:
2025-08-14T20:55:47.7303590Z - macos-py3-arm64 (ID: 3769154312, Size: 69071971, Expected Digest: sha256:09411047103e6b5a6ce66fc52146e8e060713dd096871da5df1043cd0c53ae43)
2025-08-14T20:55:47.8325960Z Redirecting to blob download url: https://productionresultssa0.blob.core.windows.net/actions-results/eb633651-a2d8-43a7-b851-b43ceeb8c5b6/workflow-job-run-4485d3fe-8421-50c7-8eaf-4b1d33332bdf/artifacts/e6751562b1f6f20bcd6ad8a8dad1f3c02045e3fad46dd739dee73dcfde9461bb.zip
2025-08-14T20:55:47.8328220Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-14T20:55:47.9571710Z (node:57803) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-08-14T20:55:47.9574800Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-08-14T20:55:48.7143600Z SHA256 digest of downloaded artifact is 09411047103e6b5a6ce66fc52146e8e060713dd096871da5df1043cd0c53ae43
2025-08-14T20:55:48.7144030Z Artifact download completed successfully.
2025-08-14T20:55:48.7144250Z Total of 1 artifact(s) downloaded
2025-08-14T20:55:48.7148120Z Download artifact has finished successfully
2025-08-14T20:55:48.7194560Z ##[group]Run unzip -o artifacts.zip
2025-08-14T20:55:48.7194800Z unzip -o artifacts.zip
2025-08-14T20:55:48.7207370Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:48.7207710Z env:
2025-08-14T20:55:48.7207840Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:48.7208020Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:48.7208210Z   TEST_CONFIG: default
2025-08-14T20:55:48.7208360Z   SHARD_NUMBER: 1
2025-08-14T20:55:48.7208490Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:48.7208620Z   PR_BODY: 
2025-08-14T20:55:48.7208760Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:48.7209270Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:48.7209510Z ##[endgroup]
2025-08-14T20:55:48.7474490Z Archive:  artifacts.zip
2025-08-14T20:55:48.7518530Z    creating: dist/
2025-08-14T20:55:49.1836240Z   inflating: dist/torch-2.9.0a0+git1fc683c-cp312-cp312-macosx_11_0_arm64.whl  
2025-08-14T20:55:49.1955650Z   inflating: build/.ninja_log        
2025-08-14T20:55:49.2470110Z   inflating: build/compile_commands.json  
2025-08-14T20:55:49.2470570Z    creating: .additional_ci_files/
2025-08-14T20:55:49.2539110Z   inflating: .additional_ci_files/test-times.json  
2025-08-14T20:55:49.2835120Z   inflating: .additional_ci_files/test-class-times.json  
2025-08-14T20:55:49.2855460Z ##[group]Run rm artifacts.zip
2025-08-14T20:55:49.2855720Z rm artifacts.zip
2025-08-14T20:55:49.2868260Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:49.2868470Z env:
2025-08-14T20:55:49.2868600Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.2868820Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.2869000Z   TEST_CONFIG: default
2025-08-14T20:55:49.2869150Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.2869280Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.2869410Z   PR_BODY: 
2025-08-14T20:55:49.2869570Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.2869800Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.2870030Z ##[endgroup]
2025-08-14T20:55:49.3117090Z ##[group]Run df -H
2025-08-14T20:55:49.3117300Z df -H
2025-08-14T20:55:49.3129610Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:49.3129980Z env:
2025-08-14T20:55:49.3130110Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.3130290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.3130480Z   TEST_CONFIG: default
2025-08-14T20:55:49.3130660Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.3130800Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.3130940Z   PR_BODY: 
2025-08-14T20:55:49.3131080Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.3131340Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.3131610Z ##[endgroup]
2025-08-14T20:55:49.3347210Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-14T20:55:49.3347690Z /dev/disk5s2s1    275G     10G    207G     5%    404k  2.0G    0%   /
2025-08-14T20:55:49.3348020Z devfs             222k    222k      0B   100%     752     0  100%   /dev
2025-08-14T20:55:49.3348370Z /dev/disk5s5      275G   1074M    207G     1%       1  2.0G    0%   /System/Volumes/VM
2025-08-14T20:55:49.3348770Z /dev/disk5s3      275G   6122M    207G     3%    1.0k  2.0G    0%   /System/Volumes/Preboot
2025-08-14T20:55:49.3349390Z /dev/disk1s2      524M   6312k    406M     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-14T20:55:49.3349770Z /dev/disk1s1      524M     56M    406M    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-14T20:55:49.3350140Z /dev/disk1s3      524M    913k    406M     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-14T20:55:49.3350510Z /dev/disk5s1      275G     49G    207G    20%    1.6M  2.0G    0%   /System/Volumes/Data
2025-08-14T20:55:49.3350870Z map auto_home       0B      0B      0B   100%       0     0     -   /System/Volumes/Data/home
2025-08-14T20:55:49.3351240Z /dev/disk3s4      245G    123k    226G     1%      18  2.2G    0%   /private/tmp/tmp-mount-ri8fYn
2025-08-14T20:55:49.3382280Z Prepare all required actions
2025-08-14T20:55:49.3382550Z Getting action download info
2025-08-14T20:55:49.4835730Z ##[group]Run ./.github/actions/download-td-artifacts
2025-08-14T20:55:49.4836610Z with:
2025-08-14T20:55:49.4836920Z   use-gha: true
2025-08-14T20:55:49.4837270Z env:
2025-08-14T20:55:49.4837530Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.4837920Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.4838320Z   TEST_CONFIG: default
2025-08-14T20:55:49.4838630Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.4838940Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.4839220Z   PR_BODY: 
2025-08-14T20:55:49.4839520Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.4840020Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.4840530Z ##[endgroup]
2025-08-14T20:55:49.4902880Z ##[group]Run actions/download-artifact@v4
2025-08-14T20:55:49.4903270Z with:
2025-08-14T20:55:49.4903540Z   name: td_results.json
2025-08-14T20:55:49.4903920Z   merge-multiple: false
2025-08-14T20:55:49.4904240Z   repository: pytorch/pytorch
2025-08-14T20:55:49.4904590Z   run-id: 16976255045
2025-08-14T20:55:49.4904870Z env:
2025-08-14T20:55:49.4905100Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.4905460Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.4905820Z   TEST_CONFIG: default
2025-08-14T20:55:49.4906110Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.4906380Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.4906640Z   PR_BODY: 
2025-08-14T20:55:49.4906900Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.4907390Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.4907870Z ##[endgroup]
2025-08-14T20:55:49.6268950Z Downloading single artifact
2025-08-14T20:55:49.7114810Z Preparing to download the following artifacts:
2025-08-14T20:55:49.7115490Z - td_results.json (ID: 3769188763, Size: 18906, Expected Digest: sha256:c2f93f6a388aaaa97c87d9b18319944565f4217c9dc05dd83eb48edb910c4474)
2025-08-14T20:55:49.7665080Z Redirecting to blob download url: https://productionresultssa0.blob.core.windows.net/actions-results/eb633651-a2d8-43a7-b851-b43ceeb8c5b6/workflow-job-run-e9f6e691-6b0d-5502-bd98-25fffdc45a40/artifacts/adc6e1455d65305bef307fe59db64c62b28fcb8f1e044d47ac9f5a2f27485441.zip
2025-08-14T20:55:49.7667310Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-14T20:55:49.7993190Z (node:57810) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-08-14T20:55:49.7994100Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-08-14T20:55:49.8029900Z SHA256 digest of downloaded artifact is c2f93f6a388aaaa97c87d9b18319944565f4217c9dc05dd83eb48edb910c4474
2025-08-14T20:55:49.8030480Z Artifact download completed successfully.
2025-08-14T20:55:49.8030800Z Total of 1 artifact(s) downloaded
2025-08-14T20:55:49.8035110Z Download artifact has finished successfully
2025-08-14T20:55:49.8091110Z ##[group]Run mkdir -p .additional_ci_files
2025-08-14T20:55:49.8091530Z mkdir -p .additional_ci_files
2025-08-14T20:55:49.8092120Z mv td_results.json .additional_ci_files/td_results.json || true
2025-08-14T20:55:49.8111130Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:49.8111500Z env:
2025-08-14T20:55:49.8111730Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.8112030Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.8112350Z   TEST_CONFIG: default
2025-08-14T20:55:49.8112590Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.8112840Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.8113070Z   PR_BODY: 
2025-08-14T20:55:49.8113280Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.8113700Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.8114100Z ##[endgroup]
2025-08-14T20:55:49.8445220Z ##[group]Run .github/scripts/parse_ref.py
2025-08-14T20:55:49.8445580Z .github/scripts/parse_ref.py
2025-08-14T20:55:49.8459310Z shell: /bin/bash -e -l {0}
2025-08-14T20:55:49.8459530Z env:
2025-08-14T20:55:49.8459700Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:49.8459910Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:49.8460290Z   TEST_CONFIG: default
2025-08-14T20:55:49.8460500Z   SHARD_NUMBER: 1
2025-08-14T20:55:49.8460670Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:49.8460880Z   PR_BODY: 
2025-08-14T20:55:49.8461050Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:49.8461360Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:49.8461650Z ##[endgroup]
2025-08-14T20:55:49.8888250Z Setting output branch=main
2025-08-14T20:55:49.8977840Z Prepare all required actions
2025-08-14T20:55:49.8978090Z Getting action download info
2025-08-14T20:55:50.0094570Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-08-14T20:55:50.2064230Z ##[group]Run ./.github/actions/filter-test-configs
2025-08-14T20:55:50.2064510Z with:
2025-08-14T20:55:50.2064780Z   github-token: ***
2025-08-14T20:55:50.2065570Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-14T20:55:50.2066520Z   job-name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:50.2066770Z env:
2025-08-14T20:55:50.2066940Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:50.2067130Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:50.2067340Z   TEST_CONFIG: default
2025-08-14T20:55:50.2067500Z   SHARD_NUMBER: 1
2025-08-14T20:55:50.2067660Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:50.2067820Z   PR_BODY: 
2025-08-14T20:55:50.2067960Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:50.2068230Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:50.2068480Z ##[endgroup]
2025-08-14T20:55:50.2092370Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T20:55:50.2092560Z with:
2025-08-14T20:55:50.2092690Z   shell: bash
2025-08-14T20:55:50.2092940Z   timeout_minutes: 10
2025-08-14T20:55:50.2093090Z   max_attempts: 5
2025-08-14T20:55:50.2093250Z   retry_wait_seconds: 30
2025-08-14T20:55:50.2093730Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-08-14T20:55:50.2094230Z   polling_interval_seconds: 1
2025-08-14T20:55:50.2094400Z   warning_on_retry: true
2025-08-14T20:55:50.2094560Z   continue_on_error: false
2025-08-14T20:55:50.2094740Z env:
2025-08-14T20:55:50.2094860Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:50.2095050Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:50.2095240Z   TEST_CONFIG: default
2025-08-14T20:55:50.2095390Z   SHARD_NUMBER: 1
2025-08-14T20:55:50.2095530Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:50.2095690Z   PR_BODY: 
2025-08-14T20:55:50.2095820Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:50.2096050Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:50.2096410Z   GITHUB_TOKEN: ***
2025-08-14T20:55:50.2096550Z ##[endgroup]
2025-08-14T20:55:50.2746900Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-08-14T20:55:50.4695720Z Collecting requests==2.27.1
2025-08-14T20:55:50.4712970Z   Using cached requests-2.27.1-py2.py3-none-any.whl.metadata (5.0 kB)
2025-08-14T20:55:50.4756610Z Requirement already satisfied: pyyaml==6.0.2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (6.0.2)
2025-08-14T20:55:50.4897550Z Collecting urllib3<1.27,>=1.21.1 (from requests==2.27.1)
2025-08-14T20:55:50.4914850Z   Using cached urllib3-1.26.20-py2.py3-none-any.whl.metadata (50 kB)
2025-08-14T20:55:50.4987980Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from requests==2.27.1) (2025.8.3)
2025-08-14T20:55:50.5355630Z Collecting charset-normalizer~=2.0.0 (from requests==2.27.1)
2025-08-14T20:55:50.5372330Z   Using cached charset_normalizer-2.0.12-py3-none-any.whl.metadata (11 kB)
2025-08-14T20:55:50.5414600Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from requests==2.27.1) (3.10)
2025-08-14T20:55:50.5453370Z Using cached requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-08-14T20:55:50.5472310Z Using cached charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-08-14T20:55:50.5488800Z Using cached urllib3-1.26.20-py2.py3-none-any.whl (144 kB)
2025-08-14T20:55:50.6258930Z Installing collected packages: urllib3, charset-normalizer, requests
2025-08-14T20:55:50.6260810Z   Attempting uninstall: urllib3
2025-08-14T20:55:50.6273240Z     Found existing installation: urllib3 2.5.0
2025-08-14T20:55:50.6296890Z     Uninstalling urllib3-2.5.0:
2025-08-14T20:55:50.6305950Z       Successfully uninstalled urllib3-2.5.0
2025-08-14T20:55:50.6764020Z   Attempting uninstall: charset-normalizer
2025-08-14T20:55:50.6784940Z     Found existing installation: charset-normalizer 3.4.3
2025-08-14T20:55:50.6803670Z     Uninstalling charset-normalizer-3.4.3:
2025-08-14T20:55:50.6812850Z       Successfully uninstalled charset-normalizer-3.4.3
2025-08-14T20:55:50.7002170Z   Attempting uninstall: requests
2025-08-14T20:55:50.7018890Z     Found existing installation: requests 2.32.4
2025-08-14T20:55:50.7034150Z     Uninstalling requests-2.32.4:
2025-08-14T20:55:50.7041160Z       Successfully uninstalled requests-2.32.4
2025-08-14T20:55:50.7273500Z 
2025-08-14T20:55:50.7307360Z Successfully installed charset-normalizer-2.0.12 requests-2.27.1 urllib3-1.26.20
2025-08-14T20:55:50.7328360Z 
2025-08-14T20:55:50.7328620Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-14T20:55:50.7328910Z [notice] To update, run: pip install --upgrade pip
2025-08-14T20:55:51.2769160Z Command completed after 1 attempt(s).
2025-08-14T20:55:51.2922440Z ##[group]Run set -x
2025-08-14T20:55:51.2923550Z set -x
2025-08-14T20:55:51.2924570Z 
2025-08-14T20:55:51.2926270Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T20:55:51.2928060Z # in runner workspace
2025-08-14T20:55:51.2929140Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-08-14T20:55:51.2988670Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:51.2989610Z env:
2025-08-14T20:55:51.2990440Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:51.2991290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:51.2992100Z   TEST_CONFIG: default
2025-08-14T20:55:51.2992850Z   SHARD_NUMBER: 1
2025-08-14T20:55:51.2993400Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:51.2994190Z   PR_BODY: 
2025-08-14T20:55:51.2995040Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:51.2996050Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:51.2997090Z ##[endgroup]
2025-08-14T20:55:51.3407080Z + python3 /Users/ec2-user/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-08-14T20:55:51.3616920Z Setting output branch=main
2025-08-14T20:55:51.3679610Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T20:55:51.3679910Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-08-14T20:55:51.3680150Z echo "Job name: ${JOB_NAME}"
2025-08-14T20:55:51.3680380Z 
2025-08-14T20:55:51.3680670Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-08-14T20:55:51.3681020Z # in runner workspace
2025-08-14T20:55:51.3681330Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-08-14T20:55:51.3681690Z   --workflow "${GITHUB_WORKFLOW}" \
2025-08-14T20:55:51.3681920Z   --job-name "${JOB_NAME}" \
2025-08-14T20:55:51.3682870Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}" \
2025-08-14T20:55:51.3683920Z   --selected-test-configs "" \
2025-08-14T20:55:51.3684170Z   --pr-number "${PR_NUMBER}" \
2025-08-14T20:55:51.3684630Z   --tag "${TAG}" \
2025-08-14T20:55:51.3684850Z   --event-name "${EVENT_NAME}" \
2025-08-14T20:55:51.3685100Z   --schedule "${SCHEDULE}" \
2025-08-14T20:55:51.3685320Z   --branch "${HEAD_BRANCH}"
2025-08-14T20:55:51.3698960Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:51.3699240Z env:
2025-08-14T20:55:51.3699390Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:51.3699610Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:51.3699830Z   TEST_CONFIG: default
2025-08-14T20:55:51.3700010Z   SHARD_NUMBER: 1
2025-08-14T20:55:51.3700170Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:51.3700350Z   PR_BODY: 
2025-08-14T20:55:51.3700540Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:51.3700820Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:51.3701550Z   GITHUB_TOKEN: ***
2025-08-14T20:55:51.3701790Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:51.3702070Z   PR_NUMBER: 
2025-08-14T20:55:51.3702200Z   TAG: 
2025-08-14T20:55:51.3702340Z   EVENT_NAME: push
2025-08-14T20:55:51.3702480Z   SCHEDULE: 
2025-08-14T20:55:51.3702630Z   HEAD_BRANCH: main
2025-08-14T20:55:51.3702780Z ##[endgroup]
2025-08-14T20:55:51.3903460Z Workflow: trunk
2025-08-14T20:55:51.3903880Z Job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:51.6425170Z Setting output keep-going=True
2025-08-14T20:55:51.6425490Z Setting output ci-verbose-test-logs=False
2025-08-14T20:55:51.6425750Z Setting output ci-test-showlocals=False
2025-08-14T20:55:51.6426040Z Setting output ci-no-test-timeout=False
2025-08-14T20:55:51.6426560Z Setting output ci-no-td=False
2025-08-14T20:55:51.6426800Z Setting output ci-td-distributed=False
2025-08-14T20:55:51.6427030Z Setting output is-unstable=False
2025-08-14T20:55:51.6427300Z Setting output reenabled-issues=
2025-08-14T20:55:51.6428360Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-08-14T20:55:51.6429410Z Setting output is-test-matrix-empty=False
2025-08-14T20:55:51.6522290Z ##[group]Run echo "Filtered matrix:"
2025-08-14T20:55:51.6522510Z echo "Filtered matrix:"
2025-08-14T20:55:51.6523320Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}"
2025-08-14T20:55:51.6524180Z 
2025-08-14T20:55:51.6524300Z echo
2025-08-14T20:55:51.6524540Z echo "Is the current job unstable? False"
2025-08-14T20:55:51.6524740Z 
2025-08-14T20:55:51.6524880Z echo
2025-08-14T20:55:51.6525050Z echo "Is keep-going label set? True"
2025-08-14T20:55:51.6525260Z 
2025-08-14T20:55:51.6525430Z echo
2025-08-14T20:55:51.6525590Z echo "Reenabled issues? "
2025-08-14T20:55:51.6537720Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:51.6537960Z env:
2025-08-14T20:55:51.6538090Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:51.6538370Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:51.6538560Z   TEST_CONFIG: default
2025-08-14T20:55:51.6538730Z   SHARD_NUMBER: 1
2025-08-14T20:55:51.6538890Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:51.6539020Z   PR_BODY: 
2025-08-14T20:55:51.6539170Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:51.6539420Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:51.6539850Z ##[endgroup]
2025-08-14T20:55:51.6741050Z Filtered matrix:
2025-08-14T20:55:51.6741960Z {include: [{config: default, shard: 1, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 2, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 3, num_shards: 3, runner: macos-m1-stable}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-14}, {config: mps, shard: 1, num_shards: 1, runner: macos-m2-15}]}
2025-08-14T20:55:51.6742730Z 
2025-08-14T20:55:51.6742820Z Is the current job unstable? False
2025-08-14T20:55:51.6742960Z 
2025-08-14T20:55:51.6743080Z Is keep-going label set? True
2025-08-14T20:55:51.6743230Z 
2025-08-14T20:55:51.6743320Z Reenabled issues? 
2025-08-14T20:55:51.6776350Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T20:55:51.6776670Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-08-14T20:55:51.6788550Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T20:55:51.6788780Z env:
2025-08-14T20:55:51.6788910Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:51.6789090Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:51.6789280Z   TEST_CONFIG: default
2025-08-14T20:55:51.6789430Z   SHARD_NUMBER: 1
2025-08-14T20:55:51.6789580Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:51.6789720Z   PR_BODY: 
2025-08-14T20:55:51.6789880Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:51.6790130Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:51.6790380Z   JOB_TIMEOUT: 270
2025-08-14T20:55:51.6790520Z ##[endgroup]
2025-08-14T20:55:51.7029290Z ##[group]Run # shellcheck disable=SC1090
2025-08-14T20:55:51.7029680Z # shellcheck disable=SC1090
2025-08-14T20:55:51.7029870Z set -ex
2025-08-14T20:55:51.7030020Z 
2025-08-14T20:55:51.7030200Z # TODO: Remove me later, and properly activate venv
2025-08-14T20:55:51.7030430Z PATH="$VENV_PATH/bin:$PATH"
2025-08-14T20:55:51.7030630Z export PATH
2025-08-14T20:55:51.7030770Z 
2025-08-14T20:55:51.7030960Z # Print out some information about the test environment
2025-08-14T20:55:51.7031210Z for tool in python3 python; do
2025-08-14T20:55:51.7031410Z   which $tool
2025-08-14T20:55:51.7031570Z   $tool --version
2025-08-14T20:55:51.7031740Z done
2025-08-14T20:55:51.7031940Z 
2025-08-14T20:55:51.7032130Z python3 -mpip install --no-index --no-deps dist/*.whl
2025-08-14T20:55:51.7032380Z 
2025-08-14T20:55:51.7032540Z set +e
2025-08-14T20:55:51.7032690Z pushd "${RUNNER_TEMP}"
2025-08-14T20:55:51.7032980Z # Install pip dependencies if they are not found. This is to mitigate a peculiar
2025-08-14T20:55:51.7033300Z # flaky missing dependencies on MacOS
2025-08-14T20:55:51.7033520Z python3 -c "import torch"
2025-08-14T20:55:51.7033710Z RC=$?
2025-08-14T20:55:51.7033830Z popd
2025-08-14T20:55:51.7033970Z 
2025-08-14T20:55:51.7034100Z if [ "${RC}" -ne 0 ]; then
2025-08-14T20:55:51.7034390Z   python3 -mpip install --ignore-installed -r "${PIP_REQUIREMENTS_FILE}"
2025-08-14T20:55:51.7034660Z fi
2025-08-14T20:55:51.7034780Z set -e
2025-08-14T20:55:51.7034930Z 
2025-08-14T20:55:51.7035090Z .ci/pytorch/macos-test.sh
2025-08-14T20:55:51.7046770Z shell: /bin/bash -e -l {0}
2025-08-14T20:55:51.7046930Z env:
2025-08-14T20:55:51.7047060Z   GIT_DEFAULT_BRANCH: main
2025-08-14T20:55:51.7047250Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T20:55:51.7047530Z   TEST_CONFIG: default
2025-08-14T20:55:51.7047690Z   SHARD_NUMBER: 1
2025-08-14T20:55:51.7047840Z   NUM_TEST_SHARDS: 3
2025-08-14T20:55:51.7048000Z   PR_BODY: 
2025-08-14T20:55:51.7048130Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T20:55:51.7048390Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T20:55:51.7048650Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-08-14T20:55:51.7048860Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-08-14T20:55:51.7049080Z   CONTINUE_THROUGH_ERROR: True
2025-08-14T20:55:51.7049310Z   VERBOSE_TEST_LOGS: False
2025-08-14T20:55:51.7049480Z   TEST_SHOWLOCALS: False
2025-08-14T20:55:51.7049650Z   NO_TEST_TIMEOUT: False
2025-08-14T20:55:51.7049810Z   NO_TD: False
2025-08-14T20:55:51.7050050Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-08-14T20:55:51.7050330Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-08-14T20:55:51.7050500Z   GITHUB_WORKFLOW: trunk
2025-08-14T20:55:51.7050670Z   GITHUB_JOB: test
2025-08-14T20:55:51.7050810Z   GITHUB_RUN_ID: 16976255045
2025-08-14T20:55:51.7050990Z   GITHUB_RUN_NUMBER: 140204
2025-08-14T20:55:51.7051160Z   GITHUB_RUN_ATTEMPT: 1
2025-08-14T20:55:51.7051320Z   JOB_ID: 48126518102
2025-08-14T20:55:51.7051530Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T20:55:51.7051780Z   REENABLED_ISSUES: 
2025-08-14T20:55:51.7052130Z   HUGGING_FACE_HUB_TOKEN: ***
2025-08-14T20:55:51.7052300Z ##[endgroup]
2025-08-14T20:55:51.7290110Z + PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-08-14T20:55:51.7292030Z + export PATH
2025-08-14T20:55:51.7292180Z + for tool in python3 python
2025-08-14T20:55:51.7292350Z + which python3
2025-08-14T20:55:51.7299150Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python3
2025-08-14T20:55:51.7299750Z + python3 --version
2025-08-14T20:55:51.7354230Z Python 3.12.11
2025-08-14T20:55:51.7355820Z + for tool in python3 python
2025-08-14T20:55:51.7356190Z + which python
2025-08-14T20:55:51.7366270Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python
2025-08-14T20:55:51.7366940Z + python --version
2025-08-14T20:55:51.7417870Z Python 3.12.11
2025-08-14T20:55:51.7420620Z + python3 -mpip install --no-index --no-deps dist/torch-2.9.0a0+git1fc683c-cp312-cp312-macosx_11_0_arm64.whl
2025-08-14T20:55:51.9068260Z Processing ./dist/torch-2.9.0a0+git1fc683c-cp312-cp312-macosx_11_0_arm64.whl
2025-08-14T20:55:51.9784990Z Installing collected packages: torch
2025-08-14T20:55:58.8997650Z Successfully installed torch-2.9.0a0+git1fc683c
2025-08-14T20:55:58.9251370Z + set +e
2025-08-14T20:55:58.9251570Z + pushd /Users/ec2-user/runner/_work/_temp
2025-08-14T20:55:58.9251820Z + python3 -c 'import torch'
2025-08-14T20:55:58.9252070Z ~/runner/_work/_temp ~/runner/_work/pytorch/pytorch
2025-08-14T20:56:03.0528660Z + RC=0
2025-08-14T20:56:03.0528870Z ~/runner/_work/pytorch/pytorch
2025-08-14T20:56:03.0529110Z + popd
2025-08-14T20:56:03.0529250Z + '[' 0 -ne 0 ']'
2025-08-14T20:56:03.0529410Z + set -e
2025-08-14T20:56:03.0529560Z + .ci/pytorch/macos-test.sh
2025-08-14T20:56:03.1153250Z ++ dirname .ci/pytorch/macos-test.sh
2025-08-14T20:56:03.1165750Z + source .ci/pytorch/macos-common.sh
2025-08-14T20:56:03.1175090Z +++ dirname .ci/pytorch/macos-common.sh
2025-08-14T20:56:03.1190640Z ++ source .ci/pytorch/common.sh
2025-08-14T20:56:03.1199150Z ++++ dirname .ci/pytorch/common.sh
2025-08-14T20:56:03.1213200Z +++ source .ci/pytorch/common_utils.sh
2025-08-14T20:56:03.1222240Z ++++ declare -f -t trap_add
2025-08-14T20:56:03.1226320Z +++ set -ex -o pipefail
2025-08-14T20:56:03.1226570Z +++ [[ macos-py3-arm64 == *rocm* ]]
2025-08-14T20:56:03.1226850Z +++ BUILD_TEST_LIBTORCH=0
2025-08-14T20:56:03.1229690Z ++ sysctl -a
2025-08-14T20:56:03.1230860Z ++ grep machdep.cpu
2025-08-14T20:56:03.1371200Z machdep.cpu.cores_per_package: 8
2025-08-14T20:56:03.1371450Z machdep.cpu.core_count: 8
2025-08-14T20:56:03.1371710Z machdep.cpu.logical_per_package: 8
2025-08-14T20:56:03.1371930Z machdep.cpu.thread_count: 8
2025-08-14T20:56:03.1372160Z machdep.cpu.brand_string: Apple M1
2025-08-14T20:56:03.1372750Z ++ export MACOSX_DEPLOYMENT_TARGET=11.1
2025-08-14T20:56:03.1373010Z ++ MACOSX_DEPLOYMENT_TARGET=11.1
2025-08-14T20:56:03.1373260Z ++ export CXX=clang++
2025-08-14T20:56:03.1373430Z ++ CXX=clang++
2025-08-14T20:56:03.1373590Z ++ export CC=clang
2025-08-14T20:56:03.1373750Z ++ CC=clang
2025-08-14T20:56:03.1373910Z + pushd test
2025-08-14T20:56:03.1374180Z ~/runner/_work/pytorch/pytorch/test ~/runner/_work/pytorch/pytorch
2025-08-14T20:56:03.1377210Z ++ python -c 'import torch; print(int(torch.backends.openmp.is_available()))'
2025-08-14T20:56:03.9297450Z + [[ ! 1 == \1 ]]
2025-08-14T20:56:03.9297690Z + popd
2025-08-14T20:56:03.9297850Z + export TORCH_SERIALIZATION_DEBUG=1
2025-08-14T20:56:03.9298080Z + TORCH_SERIALIZATION_DEBUG=1
2025-08-14T20:56:03.9298280Z ~/runner/_work/pytorch/pytorch
2025-08-14T20:56:03.9302620Z + [[ default == *\p\e\r\f\_\a\l\l* ]]
2025-08-14T20:56:03.9302880Z + [[ default == *\p\e\r\f\_\t\o\r\c\h\b\e\n\c\h* ]]
2025-08-14T20:56:03.9303110Z + [[ default == *\p\e\r\f\_\h\f* ]]
2025-08-14T20:56:03.9303340Z + [[ default == *\p\e\r\f\_\t\i\m\m* ]]
2025-08-14T20:56:03.9303570Z + [[ default == *\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-08-14T20:56:03.9303810Z + [[ default == *\m\p\s* ]]
2025-08-14T20:56:03.9304000Z + [[ 3 -gt 1 ]]
2025-08-14T20:56:03.9304160Z + test_python_shard 1
2025-08-14T20:56:03.9304330Z + [[ -z 3 ]]
2025-08-14T20:56:03.9304480Z + setup_test_python
2025-08-14T20:56:03.9305040Z + export GLOO_SOCKET_IFNAME=lo0
2025-08-14T20:56:03.9305250Z + GLOO_SOCKET_IFNAME=lo0
2025-08-14T20:56:03.9307290Z ++ ninja --version
2025-08-14T20:56:04.0871680Z + echo 'Ninja version: 1.10.2.git.kitware.jobserver-1'
2025-08-14T20:56:04.0872030Z Ninja version: 1.10.2.git.kitware.jobserver-1
2025-08-14T20:56:04.0874840Z ++ which python
2025-08-14T20:56:04.0894190Z ++ python --version
2025-08-14T20:56:04.0971400Z + echo 'Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python (Python 3.12.11)'
2025-08-14T20:56:04.0971870Z + ulimit -n 16384
2025-08-14T20:56:04.0972270Z Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python (Python 3.12.11)
2025-08-14T20:56:04.0974950Z + python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard 1 3
2025-08-14T20:56:09.0766860Z Found test times from artifacts
2025-08-14T20:56:09.1082460Z Found test times from artifacts
2025-08-14T20:56:09.1092680Z Running all tests
2025-08-14T20:56:09.1281950Z Running parallel tests on 3 processes
2025-08-14T20:56:09.1289600Z Name: tests to run (est. time: 49.77min)
2025-08-14T20:56:09.1289870Z   Serial tests (47):
2025-08-14T20:56:09.1290070Z     test_ci_sanity_check_fail 1/1
2025-08-14T20:56:09.1290270Z     doctests 1/1
2025-08-14T20:56:09.1290460Z     inductor/test_max_autotune 1/1
2025-08-14T20:56:09.1290680Z     inductor/test_flex_attention 1/1
2025-08-14T20:56:09.1290890Z     inductor/test_benchmark_fusion 1/1
2025-08-14T20:56:09.1291100Z     inductor/test_cutlass_backend 1/1
2025-08-14T20:56:09.1291330Z     dynamo/test_fake_distributed 1/1
2025-08-14T20:56:09.1291580Z     inductor/test_distributed_patterns 1/1
2025-08-14T20:56:09.1291810Z     test_cpp_api_parity 1/1
2025-08-14T20:56:09.1292000Z     test_transformers_privateuse1 1/1
2025-08-14T20:56:09.1292230Z     test_extension_utils 1/1
2025-08-14T20:56:09.1292400Z     test_fx 1/1
2025-08-14T20:56:09.1292570Z     test_fake_tensor 1/1
2025-08-14T20:56:09.1292730Z     test_openreg 1/1
2025-08-14T20:56:09.1292900Z     test_show_pickle 1/1
2025-08-14T20:56:09.1293250Z     test_tensorexpr 1/1
2025-08-14T20:56:09.1293420Z     test_torch 1/1
2025-08-14T20:56:09.1293580Z     test_utils 1/1
2025-08-14T20:56:09.1293770Z     test_python_dispatch 1/1
2025-08-14T20:56:09.1293960Z     test_dispatch 1/1
2025-08-14T20:56:09.1294130Z     test_namedtuple_return_api 1/1
2025-08-14T20:56:09.1294350Z     test_multiprocessing 1/1
2025-08-14T20:56:09.1294540Z     test_autograd_fallback 1/1
2025-08-14T20:56:09.1294740Z     test_cpp_extensions_mtia_backend 1/1
2025-08-14T20:56:09.1294960Z     test_jit_disabled 1/1
2025-08-14T20:56:09.1295150Z     test_tensor_creation_ops 1/1
2025-08-14T20:56:09.1295350Z     test_autocast 1/1
2025-08-14T20:56:09.1295530Z     test_cpp_extensions_stream_and_event 1/1
2025-08-14T20:56:09.1295750Z     test_cuda_trace 1/1
2025-08-14T20:56:09.1295940Z     test_reductions 1/1
2025-08-14T20:56:09.1296120Z     test_native_mha 1/1
2025-08-14T20:56:09.1296330Z     test_sort_and_select 1/1
2025-08-14T20:56:09.1296530Z     test_cuda_nvml_based_avail 1/1
2025-08-14T20:56:09.1296720Z     test_nn 1/1
2025-08-14T20:56:09.1296890Z     test_cpp_extensions_jit 1/1
2025-08-14T20:56:09.1297080Z     test_overrides 1/1
2025-08-14T20:56:09.1297240Z     nn/test_pooling 1/1
2025-08-14T20:56:09.1297420Z     test_cuda_primary_ctx 1/1
2025-08-14T20:56:09.1297610Z     test_mobile_optimizer 1/1
2025-08-14T20:56:09.1297820Z     test_multiprocessing_spawn 1/1
2025-08-14T20:56:09.1298040Z     nn/test_convolution 1/1
2025-08-14T20:56:09.1298230Z     test_spectral_ops 1/1
2025-08-14T20:56:09.1298420Z     distributions/test_distributions 1/1
2025-08-14T20:56:09.1298650Z     test_autoload_enable 1/1
2025-08-14T20:56:09.1298840Z     test_cpp_extensions_aot_no_ninja 1/1
2025-08-14T20:56:09.1299050Z     test_autoload_disable 1/1
2025-08-14T20:56:09.1299250Z     test_cpp_extensions_aot_ninja 1/1
2025-08-14T20:56:09.1299450Z   Parallel tests (179):
2025-08-14T20:56:09.1299650Z     inductor/test_kernel_benchmark 1/1
2025-08-14T20:56:09.1300110Z     inductor/test_torchinductor_codegen_dynamic_shapes 1/2
2025-08-14T20:56:09.1300460Z     inductor/test_cpu_repro 1/1
2025-08-14T20:56:09.1300690Z     inductor/test_pattern_matcher 1/1
2025-08-14T20:56:09.1300910Z     inductor/test_triton_wrapper 1/1
2025-08-14T20:56:09.1301130Z     inductor/test_select_algorithm 1/1
2025-08-14T20:56:09.1301380Z     inductor/test_inductor_freezing 1/1
2025-08-14T20:56:09.1301600Z     inductor/test_snode_runtime 1/1
2025-08-14T20:56:09.1301790Z     dynamo/test_cudagraphs 1/1
2025-08-14T20:56:09.1302000Z     inductor/test_halide 1/1
2025-08-14T20:56:09.1302190Z     inductor/test_triton_syntax 1/1
2025-08-14T20:56:09.1302400Z     inductor/test_multi_kernel 1/1
2025-08-14T20:56:09.1302620Z     inductor/test_triton_extension_backend 1/1
2025-08-14T20:56:09.1302870Z     inductor/test_online_softmax 1/1
2025-08-14T20:56:09.1303080Z     inductor/test_metrics 1/1
2025-08-14T20:56:09.1303290Z     inductor/test_autoheuristic 1/1
2025-08-14T20:56:09.1303490Z     inductor/test_op_dtype_prop 1/1
2025-08-14T20:56:09.1303700Z     inductor/test_best_config 1/1
2025-08-14T20:56:09.1303910Z     inductor/test_profiler 1/1
2025-08-14T20:56:09.1304090Z     dynamo/test_view 1/1
2025-08-14T20:56:09.1304280Z     inductor/test_helion_kernels 1/1
2025-08-14T20:56:09.1304470Z     dynamo/test_list 1/1
2025-08-14T20:56:09.1304660Z     inductor/test_loop_ordering 1/1
2025-08-14T20:56:09.1304860Z     dynamo/test_utils 1/1
2025-08-14T20:56:09.1305060Z     inductor/test_ordered_set 1/1
2025-08-14T20:56:09.1305280Z     inductor/test_decompose_mem_bound_mm 1/1
2025-08-14T20:56:09.1305500Z     dynamo/test_dicts 1/1
2025-08-14T20:56:09.1305690Z     dynamo/test_install_free_tensors 1/1
2025-08-14T20:56:09.1305910Z     dynamo/test_fx_graph_runnable 1/1
2025-08-14T20:56:09.1306120Z     dynamo/test_autograd_function 1/1
2025-08-14T20:56:09.1306340Z     export/test_cpp_serdes 1/1
2025-08-14T20:56:09.1306520Z     dynamo/test_config 1/1
2025-08-14T20:56:09.1306700Z     export/test_package 1/1
2025-08-14T20:56:09.1306880Z     inductor/test_benchmarking 1/1
2025-08-14T20:56:09.1307140Z     dynamo/test_reconstruct 1/1
2025-08-14T20:56:09.1307350Z     inductor/test_inductor_scheduler 1/1
2025-08-14T20:56:09.1307570Z     dynamo/test_compile 1/1
2025-08-14T20:56:09.1307760Z     inductor/test_compile 1/1
2025-08-14T20:56:09.1307930Z     export/test_db 1/1
2025-08-14T20:56:09.1308130Z     inductor/test_graph_transform_observer 1/1
2025-08-14T20:56:09.1308350Z     dynamo/test_export_mutations 1/1
2025-08-14T20:56:09.1308550Z     dynamo/test_unittest 1/1
2025-08-14T20:56:09.1308730Z     dynamo/test_sources 1/1
2025-08-14T20:56:09.1308910Z     dynamo/test_graph_deduplication 1/1
2025-08-14T20:56:09.1309170Z     inductor/test_torchinductor_codegen_config_overrides 1/1
2025-08-14T20:56:09.1309420Z     dynamo/test_flat_apply 1/1
2025-08-14T20:56:09.1309630Z     dynamo/test_guard_serialization 1/1
2025-08-14T20:56:09.1309850Z     dynamo/test_modes 1/1
2025-08-14T20:56:09.1310050Z     inductor/test_split_cat_fx_aten_passes 1/1
2025-08-14T20:56:09.1310270Z     export/test_passes 1/1
2025-08-14T20:56:09.1310460Z     export/test_unflatten 1/1
2025-08-14T20:56:09.1310640Z     export/test_upgrader 1/1
2025-08-14T20:56:09.1310810Z     export/test_swap 1/1
2025-08-14T20:56:09.1310980Z     export/test_schema 1/1
2025-08-14T20:56:09.1311150Z     dynamo/test_decorators 1/1
2025-08-14T20:56:09.1311340Z     dynamo/test_einops 1/1
2025-08-14T20:56:09.1311530Z     dynamo/test_backward_higher_order_ops 1/1
2025-08-14T20:56:09.1311750Z     export/test_nativert 1/1
2025-08-14T20:56:09.1311950Z     inductor/test_auto_functionalize 1/1
2025-08-14T20:56:09.1312180Z     dynamo/test_verify_correctness 1/1
2025-08-14T20:56:09.1312370Z     dynamo/test_export 1/1
2025-08-14T20:56:09.1312550Z     dynamo/test_model_output 1/1
2025-08-14T20:56:09.1312740Z     dynamo/test_sets 1/1
2025-08-14T20:56:09.1312900Z     dynamo/test_base_hop 1/1
2025-08-14T20:56:09.1313080Z     dynamo/test_profiler 1/1
2025-08-14T20:56:09.1313260Z     test_content_store 1/1
2025-08-14T20:56:09.1313530Z     dynamo/test_deviceguard 1/1
2025-08-14T20:56:09.1313730Z     dynamo/test_optimizers 1/1
2025-08-14T20:56:09.1313940Z     dynamo/test_debug_utils 1/1
2025-08-14T20:56:09.1314150Z     dynamo/test_python_dispatcher 1/1
2025-08-14T20:56:09.1314350Z     export/test_lift_unlift 1/1
2025-08-14T20:56:09.1314550Z     dynamo/test_compiler_bisector 1/1
2025-08-14T20:56:09.1322020Z     test_model_exports_to_core_aten 1/1
2025-08-14T20:56:09.1322250Z     dynamo/test_package 1/1
2025-08-14T20:56:09.1322420Z     export/test_experimental 1/1
2025-08-14T20:56:09.1322620Z     dynamo/test_input_attr_tracking 1/1
2025-08-14T20:56:09.1322810Z     dynamo/test_bytecode_utils 1/1
2025-08-14T20:56:09.1322980Z     export/test_hop 1/1
2025-08-14T20:56:09.1323130Z     export/test_converter 1/1
2025-08-14T20:56:09.1323320Z     dynamo/test_error_messages 1/1
2025-08-14T20:56:09.1323520Z     dynamo/test_callback 1/1
2025-08-14T20:56:09.1323700Z     export/test_pass_infra 1/1
2025-08-14T20:56:09.1323910Z     inductor/test_mps_basic 1/1
2025-08-14T20:56:09.1324090Z     dynamo/test_exceptions 1/1
2025-08-14T20:56:09.1324270Z     dynamo/test_aot_autograd_cache 1/1
2025-08-14T20:56:09.1324470Z     inductor/test_efficient_conv_bn_eval 1/1
2025-08-14T20:56:09.1324670Z     dynamo/test_precompile_context 1/1
2025-08-14T20:56:09.1324860Z     dynamo/test_guard_manager 1/1
2025-08-14T20:56:09.1325030Z     test_sparse_semi_structured 1/1
2025-08-14T20:56:09.1325210Z     export/test_serialize 1/1
2025-08-14T20:56:09.1325380Z     dynamo/test_structured_trace 1/1
2025-08-14T20:56:09.1325550Z     export/test_verifier 1/1
2025-08-14T20:56:09.1325720Z     dynamo/test_recompile_ux 1/1
2025-08-14T20:56:09.1325890Z     dynamo/test_minifier 1/1
2025-08-14T20:56:09.1326100Z     inductor/test_cudagraph_trees_expandable_segments 1/1
2025-08-14T20:56:09.1326330Z     test_functionalization_of_rng_ops 1/1
2025-08-14T20:56:09.1326520Z     dynamo/test_hooks 1/1
2025-08-14T20:56:09.1326680Z     dynamo/test_generator 1/1
2025-08-14T20:56:09.1326840Z     dynamo/test_reorder_logs 1/1
2025-08-14T20:56:09.1327080Z     dynamo/test_subclasses 1/1
2025-08-14T20:56:09.1327250Z     export/test_sparse 1/1
2025-08-14T20:56:09.1327420Z     functorch/test_eager_transforms 1/1
2025-08-14T20:56:09.1327610Z     export/test_draft_export 1/1
2025-08-14T20:56:09.1327770Z     dynamo/test_comptime 1/1
2025-08-14T20:56:09.1327920Z     test_testing 1/1
2025-08-14T20:56:09.1328070Z     dynamo/test_python_autograd 1/1
2025-08-14T20:56:09.1328260Z     test_quantization 1/1
2025-08-14T20:56:09.1328410Z     test_transformers 2/2
2025-08-14T20:56:09.1328570Z     test_ao_sparsity 1/1
2025-08-14T20:56:09.1328720Z     test_license 1/1
2025-08-14T20:56:09.1328870Z     torch_np/test_binary_ufuncs 1/1
2025-08-14T20:56:09.1329060Z     torch_np/test_unary_ufuncs 1/1
2025-08-14T20:56:09.1329240Z     test_foreach 1/1
2025-08-14T20:56:09.1329380Z     test_expanded_weights 1/1
2025-08-14T20:56:09.1329560Z     typing/test_python_operators 1/1
2025-08-14T20:56:09.1329760Z     test_fx_experimental 1/1
2025-08-14T20:56:09.1329920Z     test_file_check 1/1
2025-08-14T20:56:09.1330070Z     torch_np/test_dtype 1/1
2025-08-14T20:56:09.1330250Z     higher_order_ops/test_with_effects 1/1
2025-08-14T20:56:09.1330450Z     test_native_functions 1/1
2025-08-14T20:56:09.1330620Z     functorch/test_minifier 1/1
2025-08-14T20:56:09.1330780Z     test_flop_counter 1/1
2025-08-14T20:56:09.1330940Z     torch_np/test_nep50_examples 1/1
2025-08-14T20:56:09.1331140Z     higher_order_ops/test_invoke_quant 1/1
2025-08-14T20:56:09.1331350Z     test_per_overload_api 1/1
2025-08-14T20:56:09.1331520Z     test_tensorexpr_pybind 1/1
2025-08-14T20:56:09.1331680Z     test_pytree 1/1
2025-08-14T20:56:09.1331820Z     test_fx_passes 1/1
2025-08-14T20:56:09.1331960Z     test_module_tracker 1/1
2025-08-14T20:56:09.1332120Z     test_typing 1/1
2025-08-14T20:56:09.1332250Z     test_openmp 1/1
2025-08-14T20:56:09.1332430Z     torch_np/numpy_tests/core/test_scalarinherit 1/1
2025-08-14T20:56:09.1332650Z     functorch/test_ac_knapsack 1/1
2025-08-14T20:56:09.1332990Z     backends/xeon/test_launch 1/1
2025-08-14T20:56:09.1333180Z     test_nestedtensor 1/2
2025-08-14T20:56:09.1333360Z     test_namedtensor 1/1
2025-08-14T20:56:09.1333520Z     torch_np/test_ufuncs_basic 1/1
2025-08-14T20:56:09.1333690Z     test_meta 1/2
2025-08-14T20:56:09.1333830Z     test_jiterator 1/1
2025-08-14T20:56:09.1333970Z     test_decomp 3/4
2025-08-14T20:56:09.1334110Z     lazy/test_step_closures 1/1
2025-08-14T20:56:09.1334280Z     test_ops_gradients 1/1
2025-08-14T20:56:09.1334450Z     test_fx_reinplace_pass 1/1
2025-08-14T20:56:09.1334630Z     nn/test_multihead_attention 1/1
2025-08-14T20:56:09.1334860Z     functorch/test_aot_joint_with_descriptors 1/1
2025-08-14T20:56:09.1335070Z     test_pruning_op 1/1
2025-08-14T20:56:09.1335240Z     lazy/test_functionalization 1/1
2025-08-14T20:56:09.1335440Z     functorch/test_ac 1/1
2025-08-14T20:56:09.1335610Z     test_ops_fwd_gradients 1/1
2025-08-14T20:56:09.1335770Z     test_hub 1/1
2025-08-14T20:56:09.1335930Z     test_set_default_mobile_cpu_allocator 1/1
2025-08-14T20:56:09.1336140Z     test_stateless 1/1
2025-08-14T20:56:09.1336290Z     test_numpy_interop 1/1
2025-08-14T20:56:09.1336440Z     test_ops 1/2
2025-08-14T20:56:09.1336590Z     optim/test_lrscheduler 1/1
2025-08-14T20:56:09.1336770Z     functorch/test_aotdispatch 3/3
2025-08-14T20:56:09.1336960Z     test_schema_check 1/1
2025-08-14T20:56:09.1337130Z     test_datapipe 1/1
2025-08-14T20:56:09.1337290Z     test_bundled_inputs 1/1
2025-08-14T20:56:09.1337470Z     profiler/test_execution_trace 1/1
2025-08-14T20:56:09.1337670Z     lazy/test_generator 1/1
2025-08-14T20:56:09.1337860Z     torch_np/numpy_tests/core/test_indexing 1/1
2025-08-14T20:56:09.1338080Z     test_maskedtensor 1/1
2025-08-14T20:56:09.1338240Z     test_tensorboard 1/1
2025-08-14T20:56:09.1338430Z     torch_np/numpy_tests/lib/test_type_check 1/1
2025-08-14T20:56:09.1338660Z     lazy/test_ts_opinfo 1/1
2025-08-14T20:56:09.1338820Z     test_mkldnn_fusion 1/1
2025-08-14T20:56:09.1339010Z     benchmark_utils/test_benchmark_utils 1/1
2025-08-14T20:56:09.1339260Z     test_linalg 1/1
2025-08-14T20:56:09.1339410Z     test_futures 1/1
2025-08-14T20:56:09.1339590Z     torch_np/numpy_tests/lib/test_histograms 1/1
2025-08-14T20:56:09.1339810Z     nn/test_embedding 1/1
2025-08-14T20:56:09.1339970Z     nn/test_dropout 1/1
2025-08-14T20:56:09.1340130Z     test_autograd 1/1
2025-08-14T20:56:09.1340310Z     torch_np/numpy_tests/core/test_scalarmath 1/1
2025-08-14T20:56:09.1340530Z     test_functional_optim 1/1
2025-08-14T20:56:09.1340690Z     test_vulkan 1/1
2025-08-14T20:56:09.1340830Z     functorch/test_vmap 1/1
2025-08-14T20:56:09.1340990Z     test_cuda_multigpu 1/1
2025-08-14T20:56:09.1341150Z Name: excluded (est. time: 0.0min)
2025-08-14T20:56:09.1341330Z   Serial tests (0):
2025-08-14T20:56:09.1341460Z   Parallel tests (0):
2025-08-14T20:56:09.1341700Z Running test_ci_sanity_check_fail 1/1 ... [2025-08-14 20:56:09.132828]
2025-08-14T20:56:09.1341970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:09.1342750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:09.133075]
2025-08-14T20:56:09.1343870Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /Users/ec2-user/runner/_work/pytorch/pytorch/test/.pytorch-disabled-tests.json
2025-08-14T20:56:09.1344390Z Ignoring disabled issues:  ['']
2025-08-14T20:56:16.7964300Z Running doctests 1/1 ... [2025-08-14 20:56:16.796302]
2025-08-14T20:56:16.9622250Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-14T20:56:16.9622640Z Uploading artifacts took 0.00 seconds
2025-08-14T20:56:16.9623030Z Start doctest_module('/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch')
2025-08-14T20:56:16.9623400Z Listing tests
2025-08-14T20:56:16.9624350Z msg = Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=375.
2025-08-14T20:56:16.9625130Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:16.9625500Z Registers the function implementation as the fallback for the given key.
2025-08-14T20:56:16.9625720Z 
2025-08-14T20:56:16.9625870Z         This function only works for a library with global namespace ("_").
2025-08-14T20:56:16.9626070Z 
2025-08-14T20:56:16.9626120Z         Args:
2025-08-14T20:56:16.9626420Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-14T20:56:16.9626730Z                 to register a fallthrough.
2025-08-14T20:56:16.9627080Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-14T20:56:16.9627460Z                           the dispatch key that the library was created with.
2025-08-14T20:56:16.9627870Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-14T20:56:16.9628360Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-14T20:56:16.9628640Z 
2025-08-14T20:56:16.9633100Z         Example::
2025-08-14T20:56:16.9633220Z 
2025-08-14T20:56:16.9633290Z             >>> my_lib = Library("_", "IMPL")
2025-08-14T20:56:16.9633530Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-08-14T20:56:16.9633770Z             >>>     # Handle all autocast ops generically
2025-08-14T20:56:16.9633970Z             >>>     # ...
2025-08-14T20:56:16.9634160Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T20:56:16.9634360Z         
2025-08-14T20:56:16.9634800Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-14T20:56:16.9635360Z 
2025-08-14T20:56:16.9635450Z my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T20:56:16.9635650Z ^
2025-08-14T20:56:16.9636080Z msg = Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=948.
2025-08-14T20:56:16.9636650Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:16.9637010Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-14T20:56:16.9637220Z 
2025-08-14T20:56:16.9637330Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-08-14T20:56:16.9637510Z 
2025-08-14T20:56:16.9637650Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-14T20:56:16.9638010Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-14T20:56:16.9638360Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-14T20:56:16.9638660Z     what the properties of the output Tensors are.
2025-08-14T20:56:16.9638820Z 
2025-08-14T20:56:16.9638970Z     The FakeTensor implementation has the same signature as the operator.
2025-08-14T20:56:16.9639310Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-14T20:56:16.9639630Z     implementation, assume that all Tensor inputs to the operator are
2025-08-14T20:56:16.9639970Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-14T20:56:16.9640290Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-14T20:56:16.9640620Z     The FakeTensor implementation must consist of only PyTorch operations
2025-08-14T20:56:16.9640940Z     (and may not directly access the storage or data of any input or
2025-08-14T20:56:16.9641180Z     intermediate Tensors).
2025-08-14T20:56:16.9641290Z 
2025-08-14T20:56:16.9641390Z     This API may be used as a decorator (see examples).
2025-08-14T20:56:16.9641800Z 
2025-08-14T20:56:16.9641900Z     For a detailed guide on custom ops, please see
2025-08-14T20:56:16.9642280Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-14T20:56:16.9642480Z 
2025-08-14T20:56:16.9642530Z     Args:
2025-08-14T20:56:16.9642740Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-08-14T20:56:16.9643010Z         func: Fake tensor implementation.
2025-08-14T20:56:16.9643270Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-08-14T20:56:16.9643570Z         allow_override: Flag controlling if we want to override an
2025-08-14T20:56:16.9643860Z                         existing registered fake impl. This is by default off,
2025-08-14T20:56:16.9644150Z                         and will error you're trying to register a fake impl to
2025-08-14T20:56:16.9644440Z                         an operator that already has a fake impl. This also only
2025-08-14T20:56:16.9644720Z                         applies if the custom operator was not created via
2025-08-14T20:56:16.9645010Z                         torch.library.custom_op, as overriding and existing fake
2025-08-14T20:56:16.9645270Z                         impl is already allowed.
2025-08-14T20:56:16.9645410Z 
2025-08-14T20:56:16.9645450Z     Examples:
2025-08-14T20:56:16.9645580Z         >>> import torch
2025-08-14T20:56:16.9645740Z         >>> import numpy as np
2025-08-14T20:56:16.9645910Z         >>> from torch import Tensor
2025-08-14T20:56:16.9646080Z         >>>
2025-08-14T20:56:16.9646270Z         >>> # Example 1: an operator without data-dependent output shape
2025-08-14T20:56:16.9646600Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-14T20:56:16.9646930Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T20:56:16.9647250Z         >>>     raise NotImplementedError("Implementation goes here")
2025-08-14T20:56:16.9647480Z         >>>
2025-08-14T20:56:16.9647660Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-14T20:56:16.9647960Z         >>> def _(x, weight, bias):
2025-08-14T20:56:16.9648140Z         >>>     assert x.dim() == 2
2025-08-14T20:56:16.9648330Z         >>>     assert weight.dim() == 2
2025-08-14T20:56:16.9648520Z         >>>     assert bias.dim() == 1
2025-08-14T20:56:16.9648720Z         >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T20:56:16.9648950Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T20:56:16.9649170Z         >>>     assert x.device == weight.device
2025-08-14T20:56:16.9649350Z         >>>
2025-08-14T20:56:16.9649480Z         >>>     return (x @ weight.t()) + bias
2025-08-14T20:56:16.9649660Z         >>>
2025-08-14T20:56:16.9649840Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-14T20:56:16.9650070Z         >>>     x = torch.randn(2, 3)
2025-08-14T20:56:16.9650250Z         >>>     w = torch.randn(3, 3)
2025-08-14T20:56:16.9650420Z         >>>     b = torch.randn(3)
2025-08-14T20:56:16.9650630Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-14T20:56:16.9650820Z         >>>
2025-08-14T20:56:16.9650950Z         >>> assert y.shape == (2, 3)
2025-08-14T20:56:16.9651110Z         >>>
2025-08-14T20:56:16.9651280Z         >>> # Example 2: an operator with data-dependent output shape
2025-08-14T20:56:16.9651600Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-14T20:56:16.9651870Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-14T20:56:16.9652080Z         >>>     x_np = x.numpy(force=True)
2025-08-14T20:56:16.9652290Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T20:56:16.9652520Z         >>>     return torch.tensor(res, device=x.device)
2025-08-14T20:56:16.9652710Z         >>>
2025-08-14T20:56:16.9652880Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-14T20:56:16.9653100Z         >>> def _(x):
2025-08-14T20:56:16.9653390Z         >>> # Number of nonzero-elements is data-dependent.
2025-08-14T20:56:16.9653660Z         >>> # Since we cannot peek at the data in an fake impl,
2025-08-14T20:56:16.9653960Z         >>> # we use the ctx object to construct a new symint that
2025-08-14T20:56:16.9654210Z         >>> # represents the data-dependent size.
2025-08-14T20:56:16.9654420Z         >>>     ctx = torch.library.get_ctx()
2025-08-14T20:56:16.9654630Z         >>>     nnz = ctx.new_dynamic_size()
2025-08-14T20:56:16.9654820Z         >>>     shape = [nnz, x.dim()]
2025-08-14T20:56:16.9655040Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T20:56:16.9655250Z         >>>     return result
2025-08-14T20:56:16.9655400Z         >>>
2025-08-14T20:56:16.9655570Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T20:56:16.9655790Z         >>>
2025-08-14T20:56:16.9655930Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-14T20:56:16.9656220Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-14T20:56:16.9656500Z         >>> trace.print_readable()
2025-08-14T20:56:16.9656670Z         >>>
2025-08-14T20:56:16.9656870Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-14T20:56:16.9657070Z 
2025-08-14T20:56:16.9657120Z     
2025-08-14T20:56:16.9657490Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-14T20:56:16.9657850Z 
2025-08-14T20:56:16.9657900Z _._ = None
2025-08-14T20:56:16.9658010Z ^
2025-08-14T20:56:16.9658430Z msg = Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1083.
2025-08-14T20:56:16.9659010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:16.9659310Z Register a backward formula for this custom op.
2025-08-14T20:56:16.9659470Z 
2025-08-14T20:56:16.9659600Z     In order for an operator to work with autograd, you need to register
2025-08-14T20:56:16.9659900Z     a backward formula:
2025-08-14T20:56:16.9660120Z     1. You must tell us how to compute gradients during the backward pass
2025-08-14T20:56:16.9660370Z     by providing us a "backward" function.
2025-08-14T20:56:16.9660640Z     2. If you need any values from the forward to compute gradients, you can
2025-08-14T20:56:16.9660930Z     use `setup_context` to save values for backward.
2025-08-14T20:56:16.9661080Z 
2025-08-14T20:56:16.9661220Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-08-14T20:56:16.9661540Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-08-14T20:56:16.9661790Z     the number of outputs of the operator.
2025-08-14T20:56:16.9662060Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-08-14T20:56:16.9662400Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-08-14T20:56:16.9662710Z     same as :meth:`torch.autograd.Function.backward`.
2025-08-14T20:56:16.9662880Z 
2025-08-14T20:56:16.9663010Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-08-14T20:56:16.9663370Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-08-14T20:56:16.9663750Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-08-14T20:56:16.9664080Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-08-14T20:56:16.9664400Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-08-14T20:56:16.9664720Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-08-14T20:56:16.9664900Z 
2025-08-14T20:56:16.9665040Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-08-14T20:56:16.9665400Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-08-14T20:56:16.9665910Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-08-14T20:56:16.9672430Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-08-14T20:56:16.9672730Z 
2025-08-14T20:56:16.9672870Z     If you need different autograd behavior on different devices, then we
2025-08-14T20:56:16.9673210Z     recommend creating two different custom operators, one for each device
2025-08-14T20:56:16.9673550Z     that needs different behavior, and switching between them at runtime.
2025-08-14T20:56:16.9673750Z 
2025-08-14T20:56:16.9673800Z     Examples:
2025-08-14T20:56:16.9673930Z         >>> import torch
2025-08-14T20:56:16.9674090Z         >>> import numpy as np
2025-08-14T20:56:16.9674270Z         >>> from torch import Tensor
2025-08-14T20:56:16.9674430Z         >>>
2025-08-14T20:56:16.9674630Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-08-14T20:56:16.9674900Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-08-14T20:56:16.9675100Z         >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:16.9675290Z         >>>     y_np = np.sin(x_np)
2025-08-14T20:56:16.9675520Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-14T20:56:16.9675740Z         >>>
2025-08-14T20:56:16.9675900Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-08-14T20:56:16.9676120Z         >>>     x, = inputs
2025-08-14T20:56:16.9676280Z         >>>     ctx.save_for_backward(x)
2025-08-14T20:56:16.9676450Z         >>>
2025-08-14T20:56:16.9676580Z         >>> def backward(ctx, grad):
2025-08-14T20:56:16.9676760Z         >>>     x, = ctx.saved_tensors
2025-08-14T20:56:16.9676940Z         >>>     return grad * x.cos()
2025-08-14T20:56:16.9677100Z         >>>
2025-08-14T20:56:16.9677240Z         >>> torch.library.register_autograd(
2025-08-14T20:56:16.9677490Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-08-14T20:56:16.9677710Z         ... )
2025-08-14T20:56:16.9677830Z         >>>
2025-08-14T20:56:16.9677970Z         >>> x = torch.randn(3, requires_grad=True)
2025-08-14T20:56:16.9678220Z         >>> y = numpy_sin(x)
2025-08-14T20:56:16.9678440Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-14T20:56:16.9678690Z         >>> assert torch.allclose(grad_x, x.cos())
2025-08-14T20:56:16.9678870Z         >>>
2025-08-14T20:56:16.9679010Z         >>> # Example with a keyword-only arg
2025-08-14T20:56:16.9679270Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-14T20:56:16.9679550Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-08-14T20:56:16.9679770Z         >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:16.9679950Z         >>>     y_np = x_np * val
2025-08-14T20:56:16.9680160Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-14T20:56:16.9680360Z         >>>
2025-08-14T20:56:16.9680570Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-08-14T20:56:16.9680860Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-08-14T20:56:16.9681040Z         >>>
2025-08-14T20:56:16.9681170Z         >>> def backward(ctx, grad):
2025-08-14T20:56:16.9681350Z         >>>     return grad * ctx.val
2025-08-14T20:56:16.9681520Z         >>>
2025-08-14T20:56:16.9681660Z         >>> torch.library.register_autograd(
2025-08-14T20:56:16.9681900Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-08-14T20:56:16.9682130Z         ... )
2025-08-14T20:56:16.9682240Z         >>>
2025-08-14T20:56:16.9682380Z         >>> x = torch.randn(3, requires_grad=True)
2025-08-14T20:56:16.9682580Z         >>> y = numpy_mul(x, val=3.14)
2025-08-14T20:56:16.9682820Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-14T20:56:16.9683100Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-08-14T20:56:16.9683270Z 
2025-08-14T20:56:16.9683320Z     
2025-08-14T20:56:16.9683530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.0277420Z 
2025-08-14T20:56:17.0278420Z msg = Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1482.
2025-08-14T20:56:17.0279170Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:17.0279530Z Returns the computed kernel for a given operator and dispatch key.
2025-08-14T20:56:17.0279730Z 
2025-08-14T20:56:17.0279870Z     This function retrieves the kernel that would be executed for a given
2025-08-14T20:56:17.0280220Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-08-14T20:56:17.0280570Z     can be used to call the kernel in a boxed fashion. The intended use
2025-08-14T20:56:17.0280890Z     case for this function is to retrieve the original kernel for a given
2025-08-14T20:56:17.0281230Z     dispatch key and then register another kernel to the same dispatch key
2025-08-14T20:56:17.0281540Z     that calls into the original kernel for certain cases.
2025-08-14T20:56:17.0281720Z 
2025-08-14T20:56:17.0281770Z     Args:
2025-08-14T20:56:17.0281970Z         op: Operator name (along with the overload) or OpOverload object
2025-08-14T20:56:17.0282340Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-14T20:56:17.0282720Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-14T20:56:17.0283080Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-14T20:56:17.0283280Z 
2025-08-14T20:56:17.0283330Z     Returns:
2025-08-14T20:56:17.0283550Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-14T20:56:17.0283810Z             call the kernel.
2025-08-14T20:56:17.0283920Z 
2025-08-14T20:56:17.0283970Z     Raises:
2025-08-14T20:56:17.0284130Z         RuntimeError: If the operator does not exist.
2025-08-14T20:56:17.0284280Z 
2025-08-14T20:56:17.0284330Z     Example:
2025-08-14T20:56:17.0284480Z         >>> # Get the CPU kernel for torch.add
2025-08-14T20:56:17.0284830Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-14T20:56:17.0285060Z         >>>
2025-08-14T20:56:17.0285210Z         >>> # You can also use DispatchKey enum
2025-08-14T20:56:17.0285510Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-14T20:56:17.0285780Z         >>>
2025-08-14T20:56:17.0285910Z         >>> # Or use an OpOverload directly
2025-08-14T20:56:17.0286180Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-14T20:56:17.0286430Z         >>>
2025-08-14T20:56:17.0286640Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-14T20:56:17.0286910Z         >>> # Get the original kernel for torch.sin
2025-08-14T20:56:17.0287190Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-14T20:56:17.0287430Z         >>>
2025-08-14T20:56:17.0287640Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-14T20:56:17.0287930Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-14T20:56:17.0288140Z         >>>     if (x < 0).any():
2025-08-14T20:56:17.0288370Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-14T20:56:17.0288600Z         >>>     else:
2025-08-14T20:56:17.0288760Z         >>>         return torch.zeros_like(x)
2025-08-14T20:56:17.0288930Z         >>>
2025-08-14T20:56:17.0289090Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-08-14T20:56:17.0289400Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-14T20:56:17.0289740Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T20:56:17.0290050Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-14T20:56:17.0290280Z         >>>
2025-08-14T20:56:17.0290410Z         >>> # Test the conditional behavior
2025-08-14T20:56:17.0290740Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-14T20:56:17.0291020Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-14T20:56:17.0291230Z         >>> torch.sin(x_positive)
2025-08-14T20:56:17.0291400Z         tensor([0., 0.])
2025-08-14T20:56:17.0291560Z         >>> torch.sin(x_mixed)
2025-08-14T20:56:17.0291720Z         tensor([-0.8415, 0.9093])
2025-08-14T20:56:17.0291890Z     
2025-08-14T20:56:17.0292240Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-14T20:56:17.0292590Z 
2025-08-14T20:56:17.0292700Z which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T20:56:17.0292930Z       ^
2025-08-14T20:56:17.0293340Z msg = Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1571.
2025-08-14T20:56:17.0293910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.0294270Z Given an operator and some sample arguments, tests if the operator is
2025-08-14T20:56:17.0294530Z     registered correctly.
2025-08-14T20:56:17.0294630Z 
2025-08-14T20:56:17.0294760Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-08-14T20:56:17.0295120Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-08-14T20:56:17.0295470Z     and these APIs require that the functions you pass them satisfy certain
2025-08-14T20:56:17.0295830Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-08-14T20:56:17.0296130Z     ``opcheck`` tests these metadata and properties.
2025-08-14T20:56:17.0296290Z 
2025-08-14T20:56:17.0296360Z     Concretely, we test the following:
2025-08-14T20:56:17.0296490Z 
2025-08-14T20:56:17.0296620Z     - test_schema: If the schema matches the implementation of
2025-08-14T20:56:17.0296930Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-08-14T20:56:17.0297330Z       then we check the implementation mutates the Tensor. If the schema
2025-08-14T20:56:17.0297650Z       specifies that we return a new Tensor, then we check that the
2025-08-14T20:56:17.0297960Z       implementation returns a new Tensor (instead of an existing one or
2025-08-14T20:56:17.0298220Z       a view of an existing one).
2025-08-14T20:56:17.0298460Z     - test_autograd_registration: If the operator supports training
2025-08-14T20:56:17.0298770Z       (autograd): we check that its autograd formula is registered via
2025-08-14T20:56:17.0299090Z       torch.library.register_autograd or a manual registration to one
2025-08-14T20:56:17.0299410Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-08-14T20:56:17.0299690Z       registrations may lead to undefined behavior.
2025-08-14T20:56:17.0299940Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-08-14T20:56:17.0300230Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-08-14T20:56:17.0300530Z       but not sufficient) for the operator to work with PyTorch compilation
2025-08-14T20:56:17.0300860Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-08-14T20:56:17.0301180Z       (also sometimes known as a meta kernel) was registered for the
2025-08-14T20:56:17.0301480Z       operator and that it is correct. This test takes the result of
2025-08-14T20:56:17.0301770Z       running the operator on real tensors and the result of running
2025-08-14T20:56:17.0302070Z       the operator on FakeTensors and checks that they have the same
2025-08-14T20:56:17.0302350Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-08-14T20:56:17.0302640Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-08-14T20:56:17.0302930Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-08-14T20:56:17.0303230Z       This checks that the outputs (and gradients, if applicable) are the
2025-08-14T20:56:17.0303630Z       same under eager-mode PyTorch and torch.compile.
2025-08-14T20:56:17.0303960Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-08-14T20:56:17.0304240Z       other things it tests are that the operator supports
2025-08-14T20:56:17.0304540Z       functionalization and that the backward pass (if it exists) also
2025-08-14T20:56:17.0304820Z       supports FakeTensor and functionalization.
2025-08-14T20:56:17.0304960Z 
2025-08-14T20:56:17.0305090Z     For best results, please call ``opcheck`` multiple times with a
2025-08-14T20:56:17.0305380Z     representative set of inputs. If your operator supports
2025-08-14T20:56:17.0305700Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-08-14T20:56:17.0306050Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-08-14T20:56:17.0306360Z     use ``opcheck`` with inputs on all supported devices.
2025-08-14T20:56:17.0306520Z 
2025-08-14T20:56:17.0306570Z     Args:
2025-08-14T20:56:17.0306750Z         op: The operator. Must either be a function decorated with
2025-08-14T20:56:17.0307070Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-08-14T20:56:17.0307400Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-08-14T20:56:17.0307660Z         args: The args to the operator
2025-08-14T20:56:17.0307870Z         kwargs: The kwargs to the operator
2025-08-14T20:56:17.0308110Z         test_utils: Tests that we should run. Default: all of them.
2025-08-14T20:56:17.0308370Z             Example: ("test_schema", "test_faketensor")
2025-08-14T20:56:17.0308640Z         raise_exception: If we should raise an exception on the first
2025-08-14T20:56:17.0308930Z             error. If False, we will return a dict with information
2025-08-14T20:56:17.0309160Z             on if each test passed or not.
2025-08-14T20:56:17.0309440Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-08-14T20:56:17.0309740Z             If specified ``atol`` must also be specified.
2025-08-14T20:56:17.0310070Z             If omitted, default values based on the ``dtype`` are selected
2025-08-14T20:56:17.0310360Z             (see the table in :func:`torch.testing.assert_close`).
2025-08-14T20:56:17.0310670Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-08-14T20:56:17.0310970Z             If specified ``rtol`` must also be specified.
2025-08-14T20:56:17.0311240Z             If omitted, default values based on the ``dtype`` are selected
2025-08-14T20:56:17.0311520Z             (see the table in :func:`torch.testing.assert_close`).
2025-08-14T20:56:17.0311690Z 
2025-08-14T20:56:17.0311740Z     .. warning::
2025-08-14T20:56:17.0311830Z 
2025-08-14T20:56:17.0311970Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-08-14T20:56:17.0312300Z         opcheck tests if your usage of torch.library APIs is correct while
2025-08-14T20:56:17.0312620Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-08-14T20:56:17.0312960Z         mathematically correct. Use both to test custom ops that support
2025-08-14T20:56:17.0313210Z         gradient computation.
2025-08-14T20:56:17.0313330Z 
2025-08-14T20:56:17.0313370Z     Example:
2025-08-14T20:56:17.0313450Z 
2025-08-14T20:56:17.0313540Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:17.0313820Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-14T20:56:17.0314110Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-08-14T20:56:17.0314320Z         >>>     x_np = x.numpy(force=True)
2025-08-14T20:56:17.0314510Z         >>>     z_np = x_np * y
2025-08-14T20:56:17.0314710Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-08-14T20:56:17.0314900Z         >>>
2025-08-14T20:56:17.0315020Z         >>> @numpy_mul.register_fake
2025-08-14T20:56:17.0315200Z         >>> def _(x, y):
2025-08-14T20:56:17.0315490Z         >>>     return torch.empty_like(x)
2025-08-14T20:56:17.0315680Z         >>>
2025-08-14T20:56:17.0315870Z         >>> def setup_context(ctx, inputs, output):
2025-08-14T20:56:17.0316070Z         >>>     y, = inputs
2025-08-14T20:56:17.0316220Z         >>>     ctx.y = y
2025-08-14T20:56:17.0316360Z         >>>
2025-08-14T20:56:17.0316490Z         >>> def backward(ctx, grad):
2025-08-14T20:56:17.0316670Z         >>>     return grad * ctx.y, None
2025-08-14T20:56:17.0316840Z         >>>
2025-08-14T20:56:17.0317050Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-08-14T20:56:17.0317290Z         >>>
2025-08-14T20:56:17.0317410Z         >>> sample_inputs = [
2025-08-14T20:56:17.0317580Z         >>>     (torch.randn(3), 3.14),
2025-08-14T20:56:17.0317790Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-08-14T20:56:17.0318030Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-08-14T20:56:17.0318300Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-08-14T20:56:17.0318530Z         >>> ]
2025-08-14T20:56:17.0318640Z         >>>
2025-08-14T20:56:17.0318770Z         >>> for args in sample_inputs:
2025-08-14T20:56:17.0318980Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-08-14T20:56:17.0319130Z 
2025-08-14T20:56:17.0319180Z     
2025-08-14T20:56:17.0319390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.0410730Z 
2025-08-14T20:56:17.0411250Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-08-14T20:56:17.0411910Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.0412150Z 
2025-08-14T20:56:17.0412240Z dim_order(ambiguity_check=False) -> tuple
2025-08-14T20:56:17.0412390Z 
2025-08-14T20:56:17.0412540Z Returns the uniquely determined tuple of int describing the dim order or
2025-08-14T20:56:17.0412830Z physical layout of :attr:`self`.
2025-08-14T20:56:17.0413120Z 
2025-08-14T20:56:17.0413280Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-08-14T20:56:17.0413620Z starting from the outermost to the innermost dimension.
2025-08-14T20:56:17.0413800Z 
2025-08-14T20:56:17.0413920Z Note that the dim order may not always be uniquely determined.
2025-08-14T20:56:17.0414350Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-08-14T20:56:17.0414890Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-08-14T20:56:17.0415350Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-08-14T20:56:17.0415780Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-08-14T20:56:17.0416120Z Otherwise, it will raise TypeError.
2025-08-14T20:56:17.0416250Z 
2025-08-14T20:56:17.0416300Z Args:
2025-08-14T20:56:17.0416570Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-08-14T20:56:17.0416830Z 
2025-08-14T20:56:17.0416890Z Examples::
2025-08-14T20:56:17.0416960Z 
2025-08-14T20:56:17.0417030Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-08-14T20:56:17.0417210Z     (0, 1, 2, 3)
2025-08-14T20:56:17.0417390Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-08-14T20:56:17.0417590Z     (0, 2, 1, 3)
2025-08-14T20:56:17.0417790Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-08-14T20:56:17.0418030Z     (0, 2, 3, 1)
2025-08-14T20:56:17.0418170Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-08-14T20:56:17.0418350Z     (0, 1, 2, 3)
2025-08-14T20:56:17.0418470Z     >>> try:
2025-08-14T20:56:17.0418650Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-08-14T20:56:17.0418880Z     ... except RuntimeError as e:
2025-08-14T20:56:17.0419290Z     ...     print(e)
2025-08-14T20:56:17.0419580Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-08-14T20:56:17.0419980Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-08-14T20:56:17.0420250Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-08-14T20:56:17.0420520Z     ... )  # It can be mapped to contiguous format
2025-08-14T20:56:17.0420710Z     (0, 1, 2, 3)
2025-08-14T20:56:17.0420830Z     >>> try:
2025-08-14T20:56:17.0421010Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-08-14T20:56:17.0421250Z     ... except TypeError as e:
2025-08-14T20:56:17.0421410Z     ...     print(e)
2025-08-14T20:56:17.0421640Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-08-14T20:56:17.0421840Z 
2025-08-14T20:56:17.0421890Z .. warning::
2025-08-14T20:56:17.0422080Z     The dim_order tensor API is experimental and subject to change.
2025-08-14T20:56:17.0422270Z 
2025-08-14T20:56:17.0422420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.0422640Z 
2025-08-14T20:56:17.0422970Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=565.
2025-08-14T20:56:17.0423500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.0423720Z 
2025-08-14T20:56:17.0423820Z Load a model from a github repo or a local directory.
2025-08-14T20:56:17.0423980Z 
2025-08-14T20:56:17.0424120Z Note: Loading a model is the typical use case, but this can also be used to
2025-08-14T20:56:17.0424440Z for loading other objects such as tokenizers, loss functions, etc.
2025-08-14T20:56:17.0424630Z 
2025-08-14T20:56:17.0424740Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-08-14T20:56:17.0425010Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-08-14T20:56:17.0431590Z ref (a tag or a branch).
2025-08-14T20:56:17.0431770Z 
2025-08-14T20:56:17.0431880Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-08-14T20:56:17.0432110Z path to a local directory.
2025-08-14T20:56:17.0432220Z 
2025-08-14T20:56:17.0432260Z Args:
2025-08-14T20:56:17.0432400Z     repo_or_dir (str): If ``source`` is 'github',
2025-08-14T20:56:17.0432730Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-08-14T20:56:17.0433150Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-08-14T20:56:17.0433560Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-08-14T20:56:17.0433910Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-08-14T20:56:17.0434220Z     model (str): the name of a callable (entrypoint) defined in the
2025-08-14T20:56:17.0434460Z         repo/dir's ``hubconf.py``.
2025-08-14T20:56:17.0434710Z     *args (optional): the corresponding args for callable ``model``.
2025-08-14T20:56:17.0435010Z     source (str, optional): 'github' or 'local'. Specifies how
2025-08-14T20:56:17.0435290Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-08-14T20:56:17.0435590Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-08-14T20:56:17.0435920Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-08-14T20:56:17.0436210Z         only run code from repos that they trust.
2025-08-14T20:56:17.0436360Z 
2025-08-14T20:56:17.0436480Z         - If ``False``, a prompt will ask the user whether the repo should
2025-08-14T20:56:17.0436710Z           be trusted.
2025-08-14T20:56:17.0436920Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-08-14T20:56:17.0437180Z           without requiring explicit confirmation.
2025-08-14T20:56:17.0437440Z         - If ``"check"``, the repo will be checked against the list of
2025-08-14T20:56:17.0437890Z           trusted repos in the cache. If it is not present in that list, the
2025-08-14T20:56:17.0438350Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-08-14T20:56:17.0438650Z         - If ``None``: this will raise a warning, inviting the user to set
2025-08-14T20:56:17.0438940Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-08-14T20:56:17.0439250Z           is only present for backward compatibility and will be removed in
2025-08-14T20:56:17.0439490Z           v2.0.
2025-08-14T20:56:17.0439570Z 
2025-08-14T20:56:17.0439690Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-08-14T20:56:17.0440010Z     force_reload (bool, optional): whether to force a fresh download of
2025-08-14T20:56:17.0440320Z         the github repo unconditionally. Does not have any effect if
2025-08-14T20:56:17.0440580Z         ``source = 'local'``. Default is ``False``.
2025-08-14T20:56:17.0440850Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-08-14T20:56:17.0441180Z         local caches. Note that the message about first download cannot be
2025-08-14T20:56:17.0441470Z         muted. Does not have any effect if ``source = 'local'``.
2025-08-14T20:56:17.0441700Z         Default is ``True``.
2025-08-14T20:56:17.0441980Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-08-14T20:56:17.0442390Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-08-14T20:56:17.0442790Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-08-14T20:56:17.0443140Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-08-14T20:56:17.0443450Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-14T20:56:17.0443640Z 
2025-08-14T20:56:17.0443680Z Returns:
2025-08-14T20:56:17.0443870Z     The output of the ``model`` callable when called with the given
2025-08-14T20:56:17.0444210Z     ``*args`` and ``**kwargs``.
2025-08-14T20:56:17.0444330Z 
2025-08-14T20:56:17.0444380Z Example:
2025-08-14T20:56:17.0444530Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:17.0444730Z     >>> # from a github repo
2025-08-14T20:56:17.0444900Z     >>> repo = "pytorch/vision"
2025-08-14T20:56:17.0445070Z     >>> model = torch.hub.load(
2025-08-14T20:56:17.0445310Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-08-14T20:56:17.0445530Z     ... )
2025-08-14T20:56:17.0445660Z     >>> # from a local directory
2025-08-14T20:56:17.0445860Z     >>> path = "/some/local/path/pytorch/vision"
2025-08-14T20:56:17.0446050Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:17.0446300Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-08-14T20:56:17.0446520Z 
2025-08-14T20:56:17.0446670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.0446900Z 
2025-08-14T20:56:17.0447240Z msg = Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=657.
2025-08-14T20:56:17.0447800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.0448030Z 
2025-08-14T20:56:17.0448140Z Load a model from a local directory with a ``hubconf.py``.
2025-08-14T20:56:17.0448310Z 
2025-08-14T20:56:17.0448360Z Args:
2025-08-14T20:56:17.0448530Z     hubconf_dir (str): path to a local directory that contains a
2025-08-14T20:56:17.0448770Z         ``hubconf.py``.
2025-08-14T20:56:17.0448980Z     model (str): name of an entrypoint defined in the directory's
2025-08-14T20:56:17.0449200Z         ``hubconf.py``.
2025-08-14T20:56:17.0449410Z     *args (optional): the corresponding args for callable ``model``.
2025-08-14T20:56:17.0449730Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-14T20:56:17.0449930Z 
2025-08-14T20:56:17.0450090Z Returns:
2025-08-14T20:56:17.0450260Z     a single model with corresponding pretrained weights.
2025-08-14T20:56:17.0450480Z 
2025-08-14T20:56:17.0450520Z Example:
2025-08-14T20:56:17.0450660Z     >>> # xdoctest: +SKIP("stub local path")
2025-08-14T20:56:17.0450870Z     >>> path = "/some/local/path/pytorch/vision"
2025-08-14T20:56:17.0451060Z     >>> model = _load_local(
2025-08-14T20:56:17.0451210Z     ...     path,
2025-08-14T20:56:17.0451340Z     ...     "resnet50",
2025-08-14T20:56:17.0451510Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-08-14T20:56:17.0451700Z     ... )
2025-08-14T20:56:17.0451780Z 
2025-08-14T20:56:17.0451920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.0452140Z 
2025-08-14T20:56:17.0452490Z msg = Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=696.
2025-08-14T20:56:17.0453060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.0453370Z Download object at the given URL to a local path.
2025-08-14T20:56:17.0453520Z 
2025-08-14T20:56:17.0453570Z     Args:
2025-08-14T20:56:17.0453710Z         url (str): URL of the object to download
2025-08-14T20:56:17.0453980Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-08-14T20:56:17.0454390Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-08-14T20:56:17.0454710Z             Default: None
2025-08-14T20:56:17.0454960Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-08-14T20:56:17.0455220Z             Default: True
2025-08-14T20:56:17.0455320Z 
2025-08-14T20:56:17.0455360Z     Example:
2025-08-14T20:56:17.0455520Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:17.0455730Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-08-14T20:56:17.0455930Z         >>> torch.hub.download_url_to_file(
2025-08-14T20:56:17.0456240Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-08-14T20:56:17.0456510Z         ...     "/tmp/temporary_file",
2025-08-14T20:56:17.0456680Z         ... )
2025-08-14T20:56:17.0456750Z 
2025-08-14T20:56:17.0456790Z     
2025-08-14T20:56:17.0457000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.1069730Z 
2025-08-14T20:56:17.1070290Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=821.
2025-08-14T20:56:17.1070920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.1071260Z Loads the Torch serialized object at the given URL.
2025-08-14T20:56:17.1071430Z 
2025-08-14T20:56:17.1071610Z     If downloaded file is a zip file, it will be automatically
2025-08-14T20:56:17.1071870Z     decompressed.
2025-08-14T20:56:17.1071960Z 
2025-08-14T20:56:17.1072110Z     If the object is already present in `model_dir`, it's deserialized and
2025-08-14T20:56:17.1072370Z     returned.
2025-08-14T20:56:17.1072590Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-08-14T20:56:17.1072920Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-08-14T20:56:17.1073130Z 
2025-08-14T20:56:17.1073170Z     Args:
2025-08-14T20:56:17.1073320Z         url (str): URL of the object to download
2025-08-14T20:56:17.1073600Z         model_dir (str, optional): directory in which to save the object
2025-08-14T20:56:17.1074030Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-08-14T20:56:17.1074500Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-08-14T20:56:17.1074800Z             Default: True
2025-08-14T20:56:17.1075440Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-08-14T20:56:17.1075940Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-08-14T20:56:17.1076320Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-08-14T20:56:17.1076660Z             ensure unique names and to verify the contents of the file.
2025-08-14T20:56:17.1076920Z             Default: False
2025-08-14T20:56:17.1077240Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-08-14T20:56:17.1077730Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-08-14T20:56:17.1078160Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-08-14T20:56:17.1078400Z 
2025-08-14T20:56:17.1078450Z     Example:
2025-08-14T20:56:17.1078610Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:17.1078880Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-08-14T20:56:17.1079200Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-08-14T20:56:17.1079460Z         ... )
2025-08-14T20:56:17.1079540Z 
2025-08-14T20:56:17.1079580Z     
2025-08-14T20:56:17.1079810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.1080040Z 
2025-08-14T20:56:17.1080430Z msg = Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py line=446.
2025-08-14T20:56:17.1081030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.1081400Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-08-14T20:56:17.1081620Z 
2025-08-14T20:56:17.1081730Z         This is helpful when you want to visualize data over some
2025-08-14T20:56:17.1082010Z         range of inputs. See below for a plotting example.
2025-08-14T20:56:17.1082240Z 
2025-08-14T20:56:17.1082340Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-08-14T20:56:17.1082640Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-08-14T20:56:17.1082940Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-08-14T20:56:17.1083220Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-08-14T20:56:17.1083510Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-08-14T20:56:17.1083750Z         to the result shape.
2025-08-14T20:56:17.1083870Z 
2025-08-14T20:56:17.1083930Z         .. note::
2025-08-14T20:56:17.1084120Z             0D inputs are treated equivalently to 1D inputs of a
2025-08-14T20:56:17.1084340Z             single element.
2025-08-14T20:56:17.1084450Z 
2025-08-14T20:56:17.1084500Z         .. warning::
2025-08-14T20:56:17.1084700Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-08-14T20:56:17.1084990Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-08-14T20:56:17.1085170Z 
2025-08-14T20:56:17.1085260Z             In the future `torch.meshgrid` will transition to
2025-08-14T20:56:17.1085490Z             `indexing='xy'` as the default.
2025-08-14T20:56:17.1085630Z 
2025-08-14T20:56:17.1085740Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-08-14T20:56:17.1086030Z             this issue with the goal of migrating to NumPy's behavior.
2025-08-14T20:56:17.1086220Z 
2025-08-14T20:56:17.1086260Z         .. seealso::
2025-08-14T20:56:17.1086360Z 
2025-08-14T20:56:17.1086470Z             :func:`torch.cartesian_prod` has the same effect but it
2025-08-14T20:56:17.1086730Z             collects the data in a tensor of vectors.
2025-08-14T20:56:17.1086880Z 
2025-08-14T20:56:17.1086920Z         Args:
2025-08-14T20:56:17.1087170Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-08-14T20:56:17.1087550Z                 treated as tensors of size :math:`(1,)` automatically
2025-08-14T20:56:17.1087730Z 
2025-08-14T20:56:17.1087860Z             indexing: (str, optional): the indexing mode, either "xy"
2025-08-14T20:56:17.1088150Z                 or "ij", defaults to "ij". See warning for future changes.
2025-08-14T20:56:17.1088320Z 
2025-08-14T20:56:17.1088420Z                 If "xy" is selected, the first dimension corresponds
2025-08-14T20:56:17.1088690Z                 to the cardinality of the second input and the second
2025-08-14T20:56:17.1088960Z                 dimension corresponds to the cardinality of the first
2025-08-14T20:56:17.1089180Z                 input.
2025-08-14T20:56:17.1089270Z 
2025-08-14T20:56:17.1089370Z                 If "ij" is selected, the dimensions are in the same
2025-08-14T20:56:17.1089610Z                 order as the cardinality of the inputs.
2025-08-14T20:56:17.1089760Z 
2025-08-14T20:56:17.1089810Z         Returns:
2025-08-14T20:56:17.1090000Z             seq (sequence of Tensors): If the input has :math:`N`
2025-08-14T20:56:17.1090280Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-08-14T20:56:17.1090550Z             output will also have :math:`N` tensors, where each tensor
2025-08-14T20:56:17.1090810Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-08-14T20:56:17.1090950Z 
2025-08-14T20:56:17.1091010Z         Example::
2025-08-14T20:56:17.1091090Z 
2025-08-14T20:56:17.1091160Z             >>> x = torch.tensor([1, 2, 3])
2025-08-14T20:56:17.1091350Z             >>> y = torch.tensor([4, 5, 6])
2025-08-14T20:56:17.1091480Z 
2025-08-14T20:56:17.1091600Z             Observe the element-wise pairings across the grid, (1, 4),
2025-08-14T20:56:17.1091870Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-08-14T20:56:17.1092070Z             cartesian product.
2025-08-14T20:56:17.1092290Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-08-14T20:56:17.1092500Z             >>> grid_x
2025-08-14T20:56:17.1092640Z             tensor([[1, 1, 1],
2025-08-14T20:56:17.1092820Z                     [2, 2, 2],
2025-08-14T20:56:17.1092980Z                     [3, 3, 3]])
2025-08-14T20:56:17.1093140Z             >>> grid_y
2025-08-14T20:56:17.1093280Z             tensor([[4, 5, 6],
2025-08-14T20:56:17.1093440Z                     [4, 5, 6],
2025-08-14T20:56:17.1093590Z                     [4, 5, 6]])
2025-08-14T20:56:17.1093700Z 
2025-08-14T20:56:17.1093800Z             This correspondence can be seen when these grids are
2025-08-14T20:56:17.1094020Z             stacked properly.
2025-08-14T20:56:17.1094260Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-08-14T20:56:17.1094520Z             ...             torch.cartesian_prod(x, y))
2025-08-14T20:56:17.1094720Z             True
2025-08-14T20:56:17.1094800Z 
2025-08-14T20:56:17.1094910Z             `torch.meshgrid` is commonly used to produce a grid for
2025-08-14T20:56:17.1095130Z             plotting.
2025-08-14T20:56:17.1095310Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-08-14T20:56:17.1095530Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-08-14T20:56:17.1095750Z             >>> import matplotlib.pyplot as plt
2025-08-14T20:56:17.1096090Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-08-14T20:56:17.1096320Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-08-14T20:56:17.1096560Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-08-14T20:56:17.1096790Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-08-14T20:56:17.1097010Z             >>> ax = plt.axes(projection='3d')
2025-08-14T20:56:17.1097250Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-08-14T20:56:17.1097470Z             >>> plt.show()
2025-08-14T20:56:17.1097580Z 
2025-08-14T20:56:17.1097650Z         .. image:: ../_static/img/meshgrid.png
2025-08-14T20:56:17.1097850Z             :width: 512
2025-08-14T20:56:17.1097940Z 
2025-08-14T20:56:17.1097990Z         
2025-08-14T20:56:17.1098270Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.1098540Z 
2025-08-14T20:56:17.1098910Z msg = Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py line=842.
2025-08-14T20:56:17.1099500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.1099970Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-08-14T20:56:17.1100270Z 
2025-08-14T20:56:17.1100360Z     Returns the unique elements of the input tensor.
2025-08-14T20:56:17.1100530Z 
2025-08-14T20:56:17.1100710Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-08-14T20:56:17.1101090Z         this function also eliminates non-consecutive duplicate values.
2025-08-14T20:56:17.1101290Z 
2025-08-14T20:56:17.1101440Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-08-14T20:56:17.1101840Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-08-14T20:56:17.1102270Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-08-14T20:56:17.1102630Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-08-14T20:56:17.1102810Z 
2025-08-14T20:56:17.1102850Z     Args:
2025-08-14T20:56:17.1102980Z         input (Tensor): the input tensor
2025-08-14T20:56:17.1103250Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-08-14T20:56:17.1103520Z             before returning as output.
2025-08-14T20:56:17.1103780Z         return_inverse (bool): Whether to also return the indices for where
2025-08-14T20:56:17.1104120Z             elements in the original input ended up in the returned unique list.
2025-08-14T20:56:17.1104460Z         return_counts (bool): Whether to also return the counts for each unique
2025-08-14T20:56:17.1104710Z             element.
2025-08-14T20:56:17.1104980Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-08-14T20:56:17.1105310Z             unique of the flattened input is returned. Otherwise, each of the
2025-08-14T20:56:17.1105640Z             tensors indexed by the given dimension is treated as one of the
2025-08-14T20:56:17.1105960Z             elements to apply the unique operation upon. See examples for more
2025-08-14T20:56:17.1106210Z             details. Default: ``None``
2025-08-14T20:56:17.1106330Z 
2025-08-14T20:56:17.1106380Z     Returns:
2025-08-14T20:56:17.1106620Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-08-14T20:56:17.1106860Z 
2025-08-14T20:56:17.1106990Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-08-14T20:56:17.1107260Z             - **inverse_indices** (*Tensor*): (optional) if
2025-08-14T20:56:17.1107520Z               :attr:`return_inverse` is True, there will be an additional
2025-08-14T20:56:17.1107830Z               returned tensor (same shape as input) representing the indices
2025-08-14T20:56:17.1108140Z               for where elements in the original input map to in the output;
2025-08-14T20:56:17.1108440Z               otherwise, this function will only return a single tensor.
2025-08-14T20:56:17.1108690Z             - **counts** (*Tensor*): (optional) if
2025-08-14T20:56:17.1108940Z               :attr:`return_counts` is True, there will be an additional
2025-08-14T20:56:17.1109230Z               returned tensor (same shape as output or output.size(dim),
2025-08-14T20:56:17.1109520Z               if dim was specified) representing the number of occurrences
2025-08-14T20:56:17.1109770Z               for each unique value or tensor.
2025-08-14T20:56:17.1109910Z 
2025-08-14T20:56:17.1109960Z     Example::
2025-08-14T20:56:17.1110030Z 
2025-08-14T20:56:17.1110200Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-08-14T20:56:17.1110450Z         >>> output
2025-08-14T20:56:17.1110610Z         tensor([1, 2, 3])
2025-08-14T20:56:17.1110710Z 
2025-08-14T20:56:17.1110790Z         >>> output, inverse_indices = torch.unique(
2025-08-14T20:56:17.1111080Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-14T20:56:17.1111340Z         >>> output
2025-08-14T20:56:17.1111470Z         tensor([1, 2, 3])
2025-08-14T20:56:17.1111650Z         >>> inverse_indices
2025-08-14T20:56:17.1111820Z         tensor([0, 2, 1, 2])
2025-08-14T20:56:17.1111940Z 
2025-08-14T20:56:17.1112020Z         >>> output, inverse_indices = torch.unique(
2025-08-14T20:56:17.1118680Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-14T20:56:17.1118940Z         >>> output
2025-08-14T20:56:17.1119080Z         tensor([1, 2, 3])
2025-08-14T20:56:17.1119230Z         >>> inverse_indices
2025-08-14T20:56:17.1119380Z         tensor([[0, 2],
2025-08-14T20:56:17.1119530Z                 [1, 2]])
2025-08-14T20:56:17.1119620Z 
2025-08-14T20:56:17.1119680Z         >>> a = torch.tensor([
2025-08-14T20:56:17.1119840Z         ...     [
2025-08-14T20:56:17.1119970Z         ...         [1, 1, 0, 0],
2025-08-14T20:56:17.1120130Z         ...         [1, 1, 0, 0],
2025-08-14T20:56:17.1120300Z         ...         [0, 0, 1, 1],
2025-08-14T20:56:17.1120450Z         ...     ],
2025-08-14T20:56:17.1120570Z         ...     [
2025-08-14T20:56:17.1120700Z         ...         [0, 0, 1, 1],
2025-08-14T20:56:17.1120850Z         ...         [0, 0, 1, 1],
2025-08-14T20:56:17.1121010Z         ...         [1, 1, 1, 1],
2025-08-14T20:56:17.1121160Z         ...     ],
2025-08-14T20:56:17.1121280Z         ...     [
2025-08-14T20:56:17.1121410Z         ...         [1, 1, 0, 0],
2025-08-14T20:56:17.1121570Z         ...         [1, 1, 0, 0],
2025-08-14T20:56:17.1121730Z         ...         [0, 0, 1, 1],
2025-08-14T20:56:17.1121880Z         ...     ],
2025-08-14T20:56:17.1122010Z         ... ])
2025-08-14T20:56:17.1122170Z 
2025-08-14T20:56:17.1122310Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-08-14T20:56:17.1122640Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-08-14T20:56:17.1122910Z         >>> # each other, so one of them will be removed.
2025-08-14T20:56:17.1123120Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-08-14T20:56:17.1123300Z         tensor(True)
2025-08-14T20:56:17.1123460Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-08-14T20:56:17.1123650Z         >>> a_unique_dim0
2025-08-14T20:56:17.1123800Z         tensor([[[0, 0, 1, 1],
2025-08-14T20:56:17.1123950Z                  [0, 0, 1, 1],
2025-08-14T20:56:17.1124100Z                  [1, 1, 1, 1]],
2025-08-14T20:56:17.1124250Z                 [[1, 1, 0, 0],
2025-08-14T20:56:17.1124400Z                  [1, 1, 0, 0],
2025-08-14T20:56:17.1124550Z                  [0, 0, 1, 1]]])
2025-08-14T20:56:17.1124660Z 
2025-08-14T20:56:17.1124790Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-08-14T20:56:17.1125050Z         >>> # `a_unique_dim0`:
2025-08-14T20:56:17.1125230Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-08-14T20:56:17.1125410Z         tensor(True)
2025-08-14T20:56:17.1125570Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-08-14T20:56:17.1125760Z         tensor(True)
2025-08-14T20:56:17.1125840Z 
2025-08-14T20:56:17.1125970Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-08-14T20:56:17.1126280Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-08-14T20:56:17.1126510Z         >>> # them will be removed.
2025-08-14T20:56:17.1126680Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-08-14T20:56:17.1126860Z         tensor(True)
2025-08-14T20:56:17.1127000Z         >>> torch.unique(a, dim=1)
2025-08-14T20:56:17.1127170Z         tensor([[[0, 0, 1, 1],
2025-08-14T20:56:17.1127390Z                  [1, 1, 0, 0]],
2025-08-14T20:56:17.1127550Z                 [[1, 1, 1, 1],
2025-08-14T20:56:17.1127740Z                  [0, 0, 1, 1]],
2025-08-14T20:56:17.1127890Z                 [[0, 0, 1, 1],
2025-08-14T20:56:17.1128040Z                  [1, 1, 0, 0]]])
2025-08-14T20:56:17.1128150Z 
2025-08-14T20:56:17.1128280Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-08-14T20:56:17.1128570Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-08-14T20:56:17.1128850Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-08-14T20:56:17.1129080Z         >>> # sub-tensors will be removed.
2025-08-14T20:56:17.1129280Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-08-14T20:56:17.1129450Z         tensor(True)
2025-08-14T20:56:17.1129590Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-08-14T20:56:17.1129760Z         tensor(True)
2025-08-14T20:56:17.1129910Z         >>> torch.unique(a, dim=2)
2025-08-14T20:56:17.1130080Z         tensor([[[0, 1],
2025-08-14T20:56:17.1130220Z                  [0, 1],
2025-08-14T20:56:17.1130360Z                  [1, 0]],
2025-08-14T20:56:17.1130500Z                 [[1, 0],
2025-08-14T20:56:17.1130640Z                  [1, 0],
2025-08-14T20:56:17.1130770Z                  [1, 1]],
2025-08-14T20:56:17.1130910Z                 [[0, 1],
2025-08-14T20:56:17.1131050Z                  [0, 1],
2025-08-14T20:56:17.1131180Z                  [1, 0]]])
2025-08-14T20:56:17.1131320Z     
2025-08-14T20:56:17.1131530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.1469870Z 
2025-08-14T20:56:17.1470470Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-08-14T20:56:17.1471120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.1471580Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-08-14T20:56:17.1472020Z 
2025-08-14T20:56:17.1472130Z     Loads an object saved with :func:`torch.save` from a file.
2025-08-14T20:56:17.1472320Z 
2025-08-14T20:56:17.1472470Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-08-14T20:56:17.1472840Z     which underlie tensors, specially. They are first deserialized on the
2025-08-14T20:56:17.1473190Z     CPU and are then moved to the device they were saved from. If this fails
2025-08-14T20:56:17.1473540Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-08-14T20:56:17.1473910Z     is raised. However, storages can be dynamically remapped to an alternative
2025-08-14T20:56:17.1474230Z     set of devices using the :attr:`map_location` argument.
2025-08-14T20:56:17.1474410Z 
2025-08-14T20:56:17.1474570Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-08-14T20:56:17.1474940Z     storage with two arguments: storage and location. The storage argument
2025-08-14T20:56:17.1475300Z     will be the initial deserialization of the storage, residing on the CPU.
2025-08-14T20:56:17.1475660Z     Each serialized storage has a location tag associated with it which
2025-08-14T20:56:17.1476000Z     identifies the device it was saved from, and this tag is the second
2025-08-14T20:56:17.1476360Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-08-14T20:56:17.1476730Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-08-14T20:56:17.1477070Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-08-14T20:56:17.1477420Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-08-14T20:56:17.1477810Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-08-14T20:56:17.1478270Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-08-14T20:56:17.1478500Z 
2025-08-14T20:56:17.1478690Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-08-14T20:56:17.1479060Z     a device tag, it indicates the location where all tensors should be loaded.
2025-08-14T20:56:17.1479280Z 
2025-08-14T20:56:17.1479440Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-08-14T20:56:17.1479800Z     appearing in the file (keys), to ones that specify where to put the
2025-08-14T20:56:17.1480060Z     storages (values).
2025-08-14T20:56:17.1480160Z 
2025-08-14T20:56:17.1480300Z     User extensions can register their own location tags and tagging and
2025-08-14T20:56:17.1480670Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-08-14T20:56:17.1480900Z 
2025-08-14T20:56:17.1481060Z     See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-08-14T20:56:17.1481280Z 
2025-08-14T20:56:17.1481330Z     Args:
2025-08-14T20:56:17.1481610Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-08-14T20:56:17.1481980Z             or a string or os.PathLike object containing a file name
2025-08-14T20:56:17.1482360Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-08-14T20:56:17.1482680Z             locations
2025-08-14T20:56:17.1482920Z         pickle_module: module used for unpickling metadata and objects (has to
2025-08-14T20:56:17.1483250Z             match the :attr:`pickle_module` used to serialize file)
2025-08-14T20:56:17.1483560Z         weights_only: Indicates whether unpickler should be restricted to
2025-08-14T20:56:17.1483870Z             loading only tensors, primitive types, dictionaries
2025-08-14T20:56:17.1484190Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-08-14T20:56:17.1484480Z             See :ref:`weights-only` for more details.
2025-08-14T20:56:17.1484840Z         mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-08-14T20:56:17.1485340Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-08-14T20:56:17.1485800Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-08-14T20:56:17.1486270Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-08-14T20:56:17.1486720Z             tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-08-14T20:56:17.1487080Z             will be lazily loaded when their data is accessed.
2025-08-14T20:56:17.1487390Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-08-14T20:56:17.1487740Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-08-14T20:56:17.1488000Z             :attr:`errors=...`.
2025-08-14T20:56:17.1488120Z 
2025-08-14T20:56:17.1488190Z     .. warning::
2025-08-14T20:56:17.1488410Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-08-14T20:56:17.1488730Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-08-14T20:56:17.1489080Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-08-14T20:56:17.1489460Z         during unpickling. Never load data that could have come from an untrusted
2025-08-14T20:56:17.1489850Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-08-14T20:56:17.1490090Z 
2025-08-14T20:56:17.1490140Z     .. note::
2025-08-14T20:56:17.1490370Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-08-14T20:56:17.1490820Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-08-14T20:56:17.1491210Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-08-14T20:56:17.1491500Z 
2025-08-14T20:56:17.1491550Z     .. note::
2025-08-14T20:56:17.1491770Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-08-14T20:56:17.1492130Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-08-14T20:56:17.1492460Z         when loading files saved by Python 2 in Python 3.  If this default
2025-08-14T20:56:17.1492810Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-08-14T20:56:17.1493170Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-08-14T20:56:17.1493540Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-08-14T20:56:17.1493880Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-08-14T20:56:17.1494090Z 
2025-08-14T20:56:17.1494140Z     Example:
2025-08-14T20:56:17.1494300Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-08-14T20:56:17.1494530Z         >>> torch.load("tensors.pt", weights_only=True)
2025-08-14T20:56:17.1494750Z         # Load all tensors onto the CPU
2025-08-14T20:56:17.1494920Z         >>> torch.load(
2025-08-14T20:56:17.1495070Z         ...     "tensors.pt",
2025-08-14T20:56:17.1495260Z         ...     map_location=torch.device("cpu"),
2025-08-14T20:56:17.1495460Z         ...     weights_only=True,
2025-08-14T20:56:17.1495620Z         ... )
2025-08-14T20:56:17.1495780Z         # Load all tensors onto the CPU, using a function
2025-08-14T20:56:17.1495990Z         >>> torch.load(
2025-08-14T20:56:17.1496130Z         ...     "tensors.pt",
2025-08-14T20:56:17.1496330Z         ...     map_location=lambda storage, loc: storage,
2025-08-14T20:56:17.1496540Z         ...     weights_only=True,
2025-08-14T20:56:17.1496700Z         ... )
2025-08-14T20:56:17.1496830Z         # Load all tensors onto GPU 1
2025-08-14T20:56:17.1497060Z         >>> torch.load(
2025-08-14T20:56:17.1497220Z         ...     "tensors.pt",
2025-08-14T20:56:17.1497420Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-08-14T20:56:17.1497650Z         ...     weights_only=True,
2025-08-14T20:56:17.1497830Z         ... )  # type: ignore[attr-defined]
2025-08-14T20:56:17.1498030Z         # Map tensors from GPU 1 to GPU 0
2025-08-14T20:56:17.1498210Z         >>> torch.load(
2025-08-14T20:56:17.1498350Z         ...     "tensors.pt",
2025-08-14T20:56:17.1498530Z         ...     map_location={"cuda:1": "cuda:0"},
2025-08-14T20:56:17.1498730Z         ...     weights_only=True,
2025-08-14T20:56:17.1498890Z         ... )
2025-08-14T20:56:17.1499030Z         # Load tensor from io.BytesIO object
2025-08-14T20:56:17.1499310Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-08-14T20:56:17.1499600Z         >>> with open("tensor.pt", "rb") as f:
2025-08-14T20:56:17.1499800Z         ...     buffer = io.BytesIO(f.read())
2025-08-14T20:56:17.1500020Z         >>> torch.load(buffer, weights_only=False)
2025-08-14T20:56:17.1500250Z         # Load a module with 'ascii' encoding for unpickling
2025-08-14T20:56:17.1500560Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-08-14T20:56:17.1500890Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-08-14T20:56:17.1501130Z     
2025-08-14T20:56:17.1501350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.1501570Z 
2025-08-14T20:56:17.1501940Z msg = Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-08-14T20:56:17.1502530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.1502750Z 
2025-08-14T20:56:17.1502940Z Append the given callback function to this ``Future``, which will be run
2025-08-14T20:56:17.1503290Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-08-14T20:56:17.1503640Z the same ``Future``, but the order in which they will be executed cannot
2025-08-14T20:56:17.1503940Z be guaranteed (to enforce a certain order consider chaining:
2025-08-14T20:56:17.1504240Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-08-14T20:56:17.1504560Z is the reference to this ``Future``. The callback function can use the
2025-08-14T20:56:17.1504870Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-08-14T20:56:17.1505190Z already completed, the given callback will be run immediately inline.
2025-08-14T20:56:17.1505390Z 
2025-08-14T20:56:17.1505510Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-08-14T20:56:17.1505830Z callback might be invoked while the async kernels that are populating
2025-08-14T20:56:17.1506160Z those tensors haven't yet finished executing on the device. However, the
2025-08-14T20:56:17.1506490Z callback will be invoked with some dedicated streams set as current
2025-08-14T20:56:17.1506810Z (fetched from a global pool) which will be synchronized with those
2025-08-14T20:56:17.1507130Z kernels. Hence any operation performed by the callback on these tensors
2025-08-14T20:56:17.1507460Z will be scheduled on the device after the kernels complete. In other
2025-08-14T20:56:17.1507770Z words, as long as the callback doesn't switch streams, it can safely
2025-08-14T20:56:17.1508100Z manipulate the result without any additional synchronization. This is
2025-08-14T20:56:17.1508390Z similar to the non-blocking behavior of :meth:`wait`.
2025-08-14T20:56:17.1508550Z 
2025-08-14T20:56:17.1508680Z Similarly, if the callback returns a value that contains tensors that
2025-08-14T20:56:17.1508990Z reside on a GPU, it can do so even if the kernels that are producing
2025-08-14T20:56:17.1509310Z these tensors are still running on the device, as long as the callback
2025-08-14T20:56:17.1509660Z didn't change streams during its execution. If one wants to change
2025-08-14T20:56:17.1509970Z streams, one must be careful to re-synchronize them with the original
2025-08-14T20:56:17.1510300Z streams, that is, those that were current when the callback was invoked.
2025-08-14T20:56:17.1510490Z 
2025-08-14T20:56:17.1510540Z Args:
2025-08-14T20:56:17.1510730Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-08-14T20:56:17.1510990Z                             the only argument.
2025-08-14T20:56:17.1511120Z 
2025-08-14T20:56:17.1511160Z Returns:
2025-08-14T20:56:17.1511330Z     A new ``Future`` object that holds the return value of the
2025-08-14T20:56:17.1511600Z     ``callback`` and will be marked as completed when the given
2025-08-14T20:56:17.1511830Z     ``callback`` finishes.
2025-08-14T20:56:17.1511930Z 
2025-08-14T20:56:17.1512040Z .. note:: Note that if the callback function throws, either
2025-08-14T20:56:17.1512340Z     through the original future being completed with an exception and
2025-08-14T20:56:17.1512650Z     calling ``fut.wait()``, or through other code in the callback, the
2025-08-14T20:56:17.1512970Z     future returned by ``then`` will be marked appropriately with the
2025-08-14T20:56:17.1513290Z     encountered error. However, if this callback later completes
2025-08-14T20:56:17.1513600Z     additional futures, those futures are not marked as completed with
2025-08-14T20:56:17.1513920Z     an error and the user is responsible for handling completion/waiting
2025-08-14T20:56:17.1514170Z     on those futures independently.
2025-08-14T20:56:17.1514300Z 
2025-08-14T20:56:17.1514350Z Example::
2025-08-14T20:56:17.1514420Z 
2025-08-14T20:56:17.1514510Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-14T20:56:17.1514720Z     >>> def callback(fut):
2025-08-14T20:56:17.1514900Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-08-14T20:56:17.1515110Z     >>> fut = torch.futures.Future()
2025-08-14T20:56:17.1515410Z     >>> # The inserted callback will print the return value when
2025-08-14T20:56:17.1515690Z     >>> # receiving the response from "worker1"
2025-08-14T20:56:17.1515890Z     >>> cb_fut = fut.then(callback)
2025-08-14T20:56:17.1516070Z     >>> chain_cb_fut = cb_fut.then(
2025-08-14T20:56:17.1516290Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-08-14T20:56:17.1516490Z     ... )
2025-08-14T20:56:17.1516610Z     >>> fut.set_result(5)
2025-08-14T20:56:17.1516770Z     RPC return value is 5.
2025-08-14T20:56:17.1516930Z     Chained cb done. None
2025-08-14T20:56:17.1517030Z 
2025-08-14T20:56:17.1517190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.2749000Z 
2025-08-14T20:56:17.2749680Z msg = Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-08-14T20:56:17.2750370Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.2750620Z 
2025-08-14T20:56:17.2750770Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-08-14T20:56:17.2751150Z completed and trigger all attached callbacks. Note that a ``Future``
2025-08-14T20:56:17.2751430Z cannot be marked completed twice.
2025-08-14T20:56:17.2751560Z 
2025-08-14T20:56:17.2751700Z If the result contains tensors that reside on GPUs, this method can be
2025-08-14T20:56:17.2752050Z called even if the asynchronous kernels that are populating those
2025-08-14T20:56:17.2752390Z tensors haven't yet completed running on the device, provided that the
2025-08-14T20:56:17.2752740Z streams on which those kernels were enqueued are set as the current ones
2025-08-14T20:56:17.2753090Z when this method is called. Put simply, it's safe to call this method
2025-08-14T20:56:17.2753430Z immediately after launching those kernels, without any additional
2025-08-14T20:56:17.2753770Z synchronization, as long as one doesn't change streams in between. This
2025-08-14T20:56:17.2754350Z method will record events on all the relevant current streams and will
2025-08-14T20:56:17.2754680Z use them to ensure proper scheduling for all the consumers of this
2025-08-14T20:56:17.2754930Z ``Future``.
2025-08-14T20:56:17.2755000Z 
2025-08-14T20:56:17.2755050Z Args:
2025-08-14T20:56:17.2755220Z     result (object): the result object of this ``Future``.
2025-08-14T20:56:17.2755390Z 
2025-08-14T20:56:17.2755470Z Example::
2025-08-14T20:56:17.2755540Z 
2025-08-14T20:56:17.2755630Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-14T20:56:17.2755850Z     >>> import threading
2025-08-14T20:56:17.2756000Z     >>> import time
2025-08-14T20:56:17.2756160Z     >>> def slow_set_future(fut, value):
2025-08-14T20:56:17.2756350Z     ...     time.sleep(0.5)
2025-08-14T20:56:17.2756580Z     ...     fut.set_result(value)
2025-08-14T20:56:17.2756780Z     >>> fut = torch.futures.Future()
2025-08-14T20:56:17.2764080Z     >>> t = threading.Thread(
2025-08-14T20:56:17.2764270Z     ...     target=slow_set_future,
2025-08-14T20:56:17.2764480Z     ...     args=(fut, torch.ones(2) * 3)
2025-08-14T20:56:17.2764660Z     ... )
2025-08-14T20:56:17.2764780Z     >>> t.start()
2025-08-14T20:56:17.2764920Z     >>> print(fut.wait())
2025-08-14T20:56:17.2765070Z     tensor([3., 3.])
2025-08-14T20:56:17.2765210Z     >>> t.join()
2025-08-14T20:56:17.2765290Z 
2025-08-14T20:56:17.2765450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.2765670Z 
2025-08-14T20:56:17.2766070Z msg = Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-08-14T20:56:17.2766670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.2767040Z Compiles compute shader from source and allows one to invoke kernels
2025-08-14T20:56:17.2767330Z     defined there from the comfort of Python runtime
2025-08-14T20:56:17.2767660Z     Example::
2025-08-14T20:56:17.2767740Z 
2025-08-14T20:56:17.2767880Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-08-14T20:56:17.2768100Z         >>> lib = torch.mps.compile_shader(
2025-08-14T20:56:17.2768470Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-08-14T20:56:17.2768810Z         ...  )
2025-08-14T20:56:17.2768950Z         >>> x = torch.zeros(16, device="mps")
2025-08-14T20:56:17.2769160Z         >>> lib.full(x, 3.14)
2025-08-14T20:56:17.2769310Z     
2025-08-14T20:56:17.2769530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.2769740Z 
2025-08-14T20:56:17.2770170Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1851.
2025-08-14T20:56:17.2770830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.2771190Z Computes the minimum storage size to hold the given tensor geometry.
2025-08-14T20:56:17.2771390Z 
2025-08-14T20:56:17.2771430Z     Example
2025-08-14T20:56:17.2771540Z     =======
2025-08-14T20:56:17.2771610Z 
2025-08-14T20:56:17.2771750Z     This is the size of a newly allocated tensor's storage, in units of elements
2025-08-14T20:56:17.2771960Z 
2025-08-14T20:56:17.2772020Z     >>> t = torch.empty((10, 20))
2025-08-14T20:56:17.2772280Z     >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-08-14T20:56:17.2772540Z     200
2025-08-14T20:56:17.2772600Z 
2025-08-14T20:56:17.2772660Z     >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:17.2772860Z     >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-08-14T20:56:17.2773090Z     >>> size = compute_required_storage_length(
2025-08-14T20:56:17.2773320Z     ...     t2.shape, t2.stride(), t2.storage_offset()
2025-08-14T20:56:17.2773510Z     ... )
2025-08-14T20:56:17.2773630Z     >>> size == t.storage().size()
2025-08-14T20:56:17.2773830Z     True
2025-08-14T20:56:17.2773890Z 
2025-08-14T20:56:17.2774010Z     A valid tensor may have a larger storage size, but never smaller
2025-08-14T20:56:17.2774200Z 
2025-08-14T20:56:17.2774270Z     >>> slice = torch.empty(100)[20:40]
2025-08-14T20:56:17.2774450Z     >>> slice.storage().size()
2025-08-14T20:56:17.2774610Z     100
2025-08-14T20:56:17.2774670Z 
2025-08-14T20:56:17.2774730Z     >>> compute_required_storage_length(
2025-08-14T20:56:17.2774970Z     ...     slice.shape, slice.stride(), slice.storage_offset()
2025-08-14T20:56:17.2775180Z     ... )
2025-08-14T20:56:17.2775290Z     40
2025-08-14T20:56:17.2775350Z 
2025-08-14T20:56:17.2775390Z     
2025-08-14T20:56:17.2775600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.2775810Z 
2025-08-14T20:56:17.2776170Z msg = Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-08-14T20:56:17.2776730Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:17.2777010Z Retrieves the CUDA runtime API module.
2025-08-14T20:56:17.2777140Z 
2025-08-14T20:56:17.2777140Z 
2025-08-14T20:56:17.2777300Z     This function initializes the CUDA runtime environment if it is not already
2025-08-14T20:56:17.2777650Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-14T20:56:17.2777980Z     runtime API module provides access to various CUDA runtime functions.
2025-08-14T20:56:17.2778190Z 
2025-08-14T20:56:17.2778230Z     Args:
2025-08-14T20:56:17.2778340Z         ``None``
2025-08-14T20:56:17.2778420Z 
2025-08-14T20:56:17.2778460Z     Returns:
2025-08-14T20:56:17.2778630Z         module: The CUDA runtime API module (_cudart).
2025-08-14T20:56:17.2778780Z 
2025-08-14T20:56:17.2778830Z     Raises:
2025-08-14T20:56:17.2779100Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-14T20:56:17.2779520Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-14T20:56:17.2779850Z 
2025-08-14T20:56:17.2779940Z     Example of CUDA operations with profiling:
2025-08-14T20:56:17.2780140Z         >>> import torch
2025-08-14T20:56:17.2780320Z         >>> from torch.cuda import cudart, check_error
2025-08-14T20:56:17.2780520Z         >>> import os
2025-08-14T20:56:17.2780650Z         >>>
2025-08-14T20:56:17.2780790Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-14T20:56:17.2780960Z         >>>
2025-08-14T20:56:17.2781110Z         >>> def perform_cuda_operations_with_streams():
2025-08-14T20:56:17.2781330Z         >>>     stream = torch.cuda.Stream()
2025-08-14T20:56:17.2781540Z         >>>     with torch.cuda.stream(stream):
2025-08-14T20:56:17.2781760Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-08-14T20:56:17.2781980Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-08-14T20:56:17.2782180Z         >>>         z = torch.mul(x, y)
2025-08-14T20:56:17.2782360Z         >>>     return z
2025-08-14T20:56:17.2782500Z         >>>
2025-08-14T20:56:17.2782630Z         >>> torch.cuda.synchronize()
2025-08-14T20:56:17.2782840Z         >>> print("====== Start nsys profiling ======")
2025-08-14T20:56:17.2783080Z         >>> check_error(cudart().cudaProfilerStart())
2025-08-14T20:56:17.2783320Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-08-14T20:56:17.2783560Z         >>>     result = perform_cuda_operations_with_streams()
2025-08-14T20:56:17.2783810Z         >>>     print("CUDA operations completed.")
2025-08-14T20:56:17.2784060Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-14T20:56:17.2784310Z         >>> print("====== End nsys profiling ======")
2025-08-14T20:56:17.2784450Z 
2025-08-14T20:56:17.2784580Z     To run this example and save the profiling information, execute:
2025-08-14T20:56:17.2785010Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T20:56:17.2785320Z 
2025-08-14T20:56:17.2785480Z     This command profiles the CUDA operations in the provided script and saves
2025-08-14T20:56:17.2785810Z     the profiling information to a file named `trace_name.prof`.
2025-08-14T20:56:17.2786130Z     The `--profile-from-start off` option ensures that profiling starts only
2025-08-14T20:56:17.2786440Z     after the `cudaProfilerStart` call in the script.
2025-08-14T20:56:17.2786730Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-08-14T20:56:17.2787020Z     CSV file and print a summary, respectively.
2025-08-14T20:56:17.2787310Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-14T20:56:17.2787620Z     overwrite of the output file if it already exists.
2025-08-14T20:56:17.2787810Z     
2025-08-14T20:56:17.2788250Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-14T20:56:17.2788690Z 
2025-08-14T20:56:17.2788900Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T20:56:17.2789220Z ^
2025-08-14T20:56:17.2789650Z msg = Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-08-14T20:56:17.2790230Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:17.2790590Z Check if the current accelerator is available at runtime: it was build, all the
2025-08-14T20:56:17.2790940Z     required drivers are available and at least one device is visible.
2025-08-14T20:56:17.2791220Z     See :ref:`accelerator<accelerators>` for details.
2025-08-14T20:56:17.2791370Z 
2025-08-14T20:56:17.2791420Z     Returns:
2025-08-14T20:56:17.2791720Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-14T20:56:17.2791990Z 
2025-08-14T20:56:17.2792140Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-14T20:56:17.2792520Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-14T20:56:17.2792890Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-14T20:56:17.2793190Z         :ref:`multiprocessing-poison-fork-note`.
2025-08-14T20:56:17.2793340Z 
2025-08-14T20:56:17.2793390Z     Example::
2025-08-14T20:56:17.2793470Z 
2025-08-14T20:56:17.2793630Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:17.2793900Z     
2025-08-14T20:56:17.2794290Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-14T20:56:17.2794670Z 
2025-08-14T20:56:17.2794830Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:17.2795110Z                                         ^
2025-08-14T20:56:17.2795620Z msg = Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-08-14T20:56:17.2796210Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:17.2796550Z Wait for all kernels in all streams on the given device to complete.
2025-08-14T20:56:17.2796740Z 
2025-08-14T20:56:17.2796780Z     Args:
2025-08-14T20:56:17.2797040Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-14T20:56:17.2797440Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-14T20:56:17.2797780Z             use :func:`torch.accelerator.current_device_index` by default.
2025-08-14T20:56:17.2797970Z 
2025-08-14T20:56:17.2798190Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-14T20:56:17.2798450Z 
2025-08-14T20:56:17.2798490Z     Example::
2025-08-14T20:56:17.2798570Z 
2025-08-14T20:56:17.2798660Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:17.2798970Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:17.2799290Z         >>> start_event = torch.Event(enable_timing=True)
2025-08-14T20:56:17.2799520Z         >>> end_event = torch.Event(enable_timing=True)
2025-08-14T20:56:17.2799730Z         >>> start_event.record()
2025-08-14T20:56:17.2799990Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-14T20:56:17.2800260Z         >>> sum = torch.sum(tensor)
2025-08-14T20:56:17.2800450Z         >>> end_event.record()
2025-08-14T20:56:17.2800630Z         >>> torch.accelerator.synchronize()
2025-08-14T20:56:17.2800870Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-14T20:56:17.2801100Z     
2025-08-14T20:56:17.2801480Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-14T20:56:17.2801870Z 
2025-08-14T20:56:17.2802020Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:17.3842690Z                                         ^
2025-08-14T20:56:17.3843260Z msg = Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-08-14T20:56:17.3843840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3844170Z Return the sum of each row of the given sparse tensor.
2025-08-14T20:56:17.3844340Z 
2025-08-14T20:56:17.3844680Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-08-14T20:56:17.3845030Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-08-14T20:56:17.3845420Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-08-14T20:56:17.3845720Z     returns a dense tensor instead of a sparse tensor.
2025-08-14T20:56:17.3845880Z 
2025-08-14T20:56:17.3846040Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-08-14T20:56:17.3846400Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-08-14T20:56:17.3846590Z 
2025-08-14T20:56:17.3846730Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-08-14T20:56:17.3847100Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-08-14T20:56:17.3847320Z 
2025-08-14T20:56:17.3847370Z     Args:
2025-08-14T20:56:17.3847520Z         input (Tensor): the input sparse tensor
2025-08-14T20:56:17.3847850Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-08-14T20:56:17.3848150Z             over all dims.
2025-08-14T20:56:17.3848420Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-08-14T20:56:17.3848730Z             Default: dtype of :attr:`input`.
2025-08-14T20:56:17.3848870Z 
2025-08-14T20:56:17.3848940Z     Example::
2025-08-14T20:56:17.3849020Z 
2025-08-14T20:56:17.3849060Z         >>> nnz = 3
2025-08-14T20:56:17.3849200Z         >>> dims = [5, 5, 2, 3]
2025-08-14T20:56:17.3849410Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-08-14T20:56:17.3849690Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-08-14T20:56:17.3849940Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-08-14T20:56:17.3850140Z         >>> size = torch.Size(dims)
2025-08-14T20:56:17.3850350Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:17.3850580Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-08-14T20:56:17.3850770Z         >>> S
2025-08-14T20:56:17.3850970Z         tensor(indices=tensor([[2, 0, 3],
2025-08-14T20:56:17.3851160Z                                [2, 4, 1]]),
2025-08-14T20:56:17.3851380Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-08-14T20:56:17.3851600Z                                [ 0.3411,  0.0918, -0.2312]],
2025-08-14T20:56:17.3851750Z 
2025-08-14T20:56:17.3851820Z                               [[ 0.5348,  0.0634, -2.0494],
2025-08-14T20:56:17.3852020Z                                [-0.7125, -1.0646,  2.1844]],
2025-08-14T20:56:17.3852150Z 
2025-08-14T20:56:17.3852220Z                               [[ 0.1276,  0.1874, -0.6334],
2025-08-14T20:56:17.3852430Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-08-14T20:56:17.3852660Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-08-14T20:56:17.3852810Z 
2025-08-14T20:56:17.3852930Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-08-14T20:56:17.3853180Z         >>> torch.sparse.sum(S, [1, 3])
2025-08-14T20:56:17.3853380Z         tensor(indices=tensor([[0, 2, 3]]),
2025-08-14T20:56:17.3853590Z                values=tensor([[-1.4512,  0.4073],
2025-08-14T20:56:17.3853780Z                               [-0.8901,  0.2017],
2025-08-14T20:56:17.3853970Z                               [-0.3183, -1.7539]]),
2025-08-14T20:56:17.3854190Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-08-14T20:56:17.3854330Z 
2025-08-14T20:56:17.3854440Z         # when sum over all sparse dim, return a dense tensor
2025-08-14T20:56:17.3854660Z         # with summed dims squeezed
2025-08-14T20:56:17.3854840Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-08-14T20:56:17.3855030Z         tensor([-2.6596, -1.1450])
2025-08-14T20:56:17.3855190Z     
2025-08-14T20:56:17.3855400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3855610Z 
2025-08-14T20:56:17.3856040Z msg = Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-08-14T20:56:17.3856670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3857000Z Decorate function, to extend gradcheck for sparse tensors.
2025-08-14T20:56:17.3857180Z 
2025-08-14T20:56:17.3857310Z     Decorator for torch.autograd.gradcheck or its functools.partial
2025-08-14T20:56:17.3857640Z     variants that extends the gradcheck function with support to input
2025-08-14T20:56:17.3857940Z     functions that operate on or/and return sparse tensors.
2025-08-14T20:56:17.3858110Z 
2025-08-14T20:56:17.3858240Z     The specified gradcheck function itself is guaranteed to operate
2025-08-14T20:56:17.3858480Z     on strided tensors only.
2025-08-14T20:56:17.3858590Z 
2025-08-14T20:56:17.3858640Z     For example:
2025-08-14T20:56:17.3858720Z 
2025-08-14T20:56:17.3858870Z     >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-08-14T20:56:17.3859130Z     >>> x = (
2025-08-14T20:56:17.3859300Z     ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-08-14T20:56:17.3859510Z     ...     .to_sparse_coo()
2025-08-14T20:56:17.3859670Z     ...     .requires_grad_(True)
2025-08-14T20:56:17.3859830Z     ... )
2025-08-14T20:56:17.3859970Z     >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-08-14T20:56:17.3860160Z     True
2025-08-14T20:56:17.3860270Z     
2025-08-14T20:56:17.3860480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3860690Z 
2025-08-14T20:56:17.3861050Z msg = Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-08-14T20:56:17.3861600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3861820Z 
2025-08-14T20:56:17.3861960Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-14T20:56:17.3862300Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-14T20:56:17.3862620Z pushes the map into PyTorch operations called by ``func``, effectively
2025-08-14T20:56:17.3862880Z vectorizing those operations.
2025-08-14T20:56:17.3863000Z 
2025-08-14T20:56:17.3863130Z vmap is useful for handling batch dimensions: one can write a function
2025-08-14T20:56:17.3863440Z ``func`` that runs on examples and then lift it to a function that can
2025-08-14T20:56:17.3863760Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-14T20:56:17.3864060Z compute batched gradients when composed with autograd.
2025-08-14T20:56:17.3864220Z 
2025-08-14T20:56:17.3864270Z .. note::
2025-08-14T20:56:17.3864450Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-14T20:56:17.3864710Z     convenience. Use whichever one you'd like.
2025-08-14T20:56:17.3864850Z 
2025-08-14T20:56:17.3864890Z Args:
2025-08-14T20:56:17.3865080Z     func (function): A Python function that takes one or more arguments.
2025-08-14T20:56:17.3865340Z         Must return one or more Tensors.
2025-08-14T20:56:17.3865590Z     in_dims (int or nested structure): Specifies which dimension of the
2025-08-14T20:56:17.3865880Z         inputs should be mapped over. ``in_dims`` should have a
2025-08-14T20:56:17.3866180Z         structure like the inputs. If the ``in_dim`` for a particular
2025-08-14T20:56:17.3866470Z         input is None, then that indicates there is no map dimension.
2025-08-14T20:56:17.3866690Z         Default: 0.
2025-08-14T20:56:17.3866900Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-14T20:56:17.3867200Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-14T20:56:17.3867470Z         it should have one element per output. Default: 0.
2025-08-14T20:56:17.3867740Z     randomness (str): Specifies whether the randomness in this
2025-08-14T20:56:17.3868120Z         vmap should be the same or different across batches. If 'different',
2025-08-14T20:56:17.3868440Z         the randomness for each batch will be different. If 'same', the
2025-08-14T20:56:17.3868800Z         randomness will be the same across batches. If 'error', any calls to
2025-08-14T20:56:17.3869120Z         random functions will error. Default: 'error'. WARNING: this flag
2025-08-14T20:56:17.3869430Z         only applies to random PyTorch operations and does not apply to
2025-08-14T20:56:17.3869700Z         Python's random module or numpy randomness.
2025-08-14T20:56:17.3869990Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-14T20:56:17.3870330Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-14T20:56:17.3870680Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-14T20:56:17.3871070Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-14T20:56:17.3871290Z 
2025-08-14T20:56:17.3871340Z Returns:
2025-08-14T20:56:17.3871530Z     Returns a new "batched" function. It takes the same inputs as
2025-08-14T20:56:17.3871830Z     ``func``, except each input has an extra dimension at the index
2025-08-14T20:56:17.3872120Z     specified by ``in_dims``. It takes returns the same outputs as
2025-08-14T20:56:17.3872410Z     ``func``, except each output has an extra dimension at the index
2025-08-14T20:56:17.3872640Z     specified by ``out_dims``.
2025-08-14T20:56:17.3872750Z 
2025-08-14T20:56:17.3872790Z .. warning:
2025-08-14T20:56:17.3872990Z     :func:`vmap` works best with functional-style code. Please do not
2025-08-14T20:56:17.3873290Z     perform any side-effects in ``func``, with the exception of
2025-08-14T20:56:17.3873610Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-08-14T20:56:17.3873950Z     Python data structures and assigning values to variables not captured
2025-08-14T20:56:17.3874190Z     in ``func``.
2025-08-14T20:56:17.3874270Z 
2025-08-14T20:56:17.3874420Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-14T20:56:17.3874820Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-14T20:56:17.3875140Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-14T20:56:17.3875340Z 
2025-08-14T20:56:17.3875400Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:17.3875650Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-14T20:56:17.3875980Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T20:56:17.3876210Z     >>> batched_dot(x, y)
2025-08-14T20:56:17.3884260Z 
2025-08-14T20:56:17.3884420Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-14T20:56:17.3884700Z model authoring experience.
2025-08-14T20:56:17.3884810Z 
2025-08-14T20:56:17.3884880Z     >>> batch_size, feature_size = 3, 5
2025-08-14T20:56:17.3885120Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T20:56:17.3885340Z     >>>
2025-08-14T20:56:17.3885460Z     >>> def model(feature_vec):
2025-08-14T20:56:17.3885650Z     >>> # Very simple linear model with activation
2025-08-14T20:56:17.3885880Z     >>>     return feature_vec.dot(weights).relu()
2025-08-14T20:56:17.3886070Z     >>>
2025-08-14T20:56:17.3886220Z     >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T20:56:17.3886500Z     >>> result = torch.vmap(model)(examples)
2025-08-14T20:56:17.3886630Z 
2025-08-14T20:56:17.3886790Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-14T20:56:17.3887140Z or impossible to batch. One example is higher-order gradient computation.
2025-08-14T20:56:17.3887480Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-14T20:56:17.3887810Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-14T20:56:17.3888160Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-14T20:56:17.3888580Z we can vectorize the whole computation, computing the Jacobian in a single
2025-08-14T20:56:17.3888880Z call to ``autograd.grad``.
2025-08-14T20:56:17.3888990Z 
2025-08-14T20:56:17.3889040Z     >>> # Setup
2025-08-14T20:56:17.3889150Z     >>> N = 5
2025-08-14T20:56:17.3889270Z     >>> f = lambda x: x**2
2025-08-14T20:56:17.3889440Z     >>> x = torch.randn(N, requires_grad=True)
2025-08-14T20:56:17.3889620Z     >>> y = f(x)
2025-08-14T20:56:17.3889750Z     >>> I_N = torch.eye(N)
2025-08-14T20:56:17.3889880Z     >>>
2025-08-14T20:56:17.3890000Z     >>> # Sequential approach
2025-08-14T20:56:17.3890250Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-14T20:56:17.3890510Z     >>>                  for v in I_N.unbind()]
2025-08-14T20:56:17.3890710Z     >>> jacobian = torch.stack(jacobian_rows)
2025-08-14T20:56:17.3890890Z     >>>
2025-08-14T20:56:17.3891020Z     >>> # vectorized gradient computation
2025-08-14T20:56:17.3891190Z     >>> def get_vjp(v):
2025-08-14T20:56:17.3891360Z     >>>     return torch.autograd.grad(y, x, v)
2025-08-14T20:56:17.3891570Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-14T20:56:17.3891710Z 
2025-08-14T20:56:17.3891860Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-14T20:56:17.3892090Z 
2025-08-14T20:56:17.3892150Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:17.3892340Z     >>> batched_dot = torch.vmap(
2025-08-14T20:56:17.3892510Z     ...     torch.vmap(torch.dot)
2025-08-14T20:56:17.3892690Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-14T20:56:17.3892910Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-14T20:56:17.3893130Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-14T20:56:17.3893270Z 
2025-08-14T20:56:17.3893420Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-14T20:56:17.3893710Z the dimension that each inputs are batched along as
2025-08-14T20:56:17.3893860Z 
2025-08-14T20:56:17.3893920Z     >>> torch.dot  # [N], [N] -> []
2025-08-14T20:56:17.3894200Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-14T20:56:17.3894480Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T20:56:17.3894670Z     >>> batched_dot(
2025-08-14T20:56:17.3894800Z     ...     x, y
2025-08-14T20:56:17.3894990Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-14T20:56:17.3895170Z 
2025-08-14T20:56:17.3895330Z If there are multiple inputs each of which is batched along different dimensions,
2025-08-14T20:56:17.3895670Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-14T20:56:17.3895850Z 
2025-08-14T20:56:17.3895910Z     >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:17.3896170Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-14T20:56:17.3896450Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T20:56:17.3896630Z     >>> batched_dot(
2025-08-14T20:56:17.3896760Z     ...     x, y
2025-08-14T20:56:17.3896960Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-14T20:56:17.3897150Z 
2025-08-14T20:56:17.3897290Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-14T20:56:17.3897560Z matching the shape of the input:
2025-08-14T20:56:17.3897680Z 
2025-08-14T20:56:17.3897760Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-14T20:56:17.3897980Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T20:56:17.3898170Z     >>> input = {"x": x, "y": y}
2025-08-14T20:56:17.3898380Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-14T20:56:17.3898610Z     >>> batched_dot(input)
2025-08-14T20:56:17.3898710Z 
2025-08-14T20:56:17.3898880Z By default, the output is batched along the first dimension. However, it can be batched
2025-08-14T20:56:17.3899180Z along any dimension by using ``out_dims``
2025-08-14T20:56:17.3899310Z 
2025-08-14T20:56:17.3899590Z     >>> f = lambda x: x**2
2025-08-14T20:56:17.3899750Z     >>> x = torch.randn(2, 5)
2025-08-14T20:56:17.3899980Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-14T20:56:17.3900180Z     >>> batched_pow(x)  # [5, 2]
2025-08-14T20:56:17.3900300Z 
2025-08-14T20:56:17.3900470Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-14T20:56:17.3900750Z accept kwargs
2025-08-14T20:56:17.3900830Z 
2025-08-14T20:56:17.3900880Z     >>> x = torch.randn([2, 5])
2025-08-14T20:56:17.3901050Z     >>> def fn(x, scale=4.):
2025-08-14T20:56:17.3901200Z     >>>   return x * scale
2025-08-14T20:56:17.3901340Z     >>>
2025-08-14T20:56:17.3901460Z     >>> batched_pow = torch.vmap(fn)
2025-08-14T20:56:17.3901660Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-14T20:56:17.3901950Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-14T20:56:17.3902150Z 
2025-08-14T20:56:17.3902200Z .. note::
2025-08-14T20:56:17.3902410Z     vmap does not provide general autobatching or handle variable-length
2025-08-14T20:56:17.3902670Z     sequences out of the box.
2025-08-14T20:56:17.3902790Z 
2025-08-14T20:56:17.3902940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3903150Z 
2025-08-14T20:56:17.3903510Z msg = Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-08-14T20:56:17.3904070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3904430Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-14T20:56:17.3904770Z     input(s) specified by ``argnums``. This operator can be nested to
2025-08-14T20:56:17.3905020Z     compute higher-order gradients.
2025-08-14T20:56:17.3905140Z 
2025-08-14T20:56:17.3905190Z     Args:
2025-08-14T20:56:17.3905380Z         func (Callable): A Python function that takes one or more arguments.
2025-08-14T20:56:17.3905780Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-14T20:56:17.3906180Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-14T20:56:17.3906460Z             ``(output, aux)``.
2025-08-14T20:56:17.3906730Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-14T20:56:17.3907080Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-14T20:56:17.3907400Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-14T20:56:17.3907700Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-08-14T20:56:17.3907870Z 
2025-08-14T20:56:17.3907920Z     Returns:
2025-08-14T20:56:17.3908160Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-08-14T20:56:17.3908540Z         the function is the gradient tensor(s) with respect to the first argument.
2025-08-14T20:56:17.3908910Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-14T20:56:17.3909300Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-14T20:56:17.3909600Z         respect to each ``argnums`` value is returned.
2025-08-14T20:56:17.3909750Z 
2025-08-14T20:56:17.3909810Z     Example of using ``grad``:
2025-08-14T20:56:17.3909920Z 
2025-08-14T20:56:17.3909980Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:17.3910140Z         >>> from torch.func import grad
2025-08-14T20:56:17.3910330Z         >>> x = torch.randn([])
2025-08-14T20:56:17.3910520Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-14T20:56:17.3910740Z         >>> assert torch.allclose(cos_x, x.cos())
2025-08-14T20:56:17.3910920Z         >>>
2025-08-14T20:56:17.3911050Z         >>> # Second-order gradients
2025-08-14T20:56:17.3911310Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-14T20:56:17.3911560Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-14T20:56:17.3911730Z 
2025-08-14T20:56:17.3911890Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-14T20:56:17.3912110Z 
2025-08-14T20:56:17.3912160Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:17.3912340Z         >>> from torch.func import grad, vmap
2025-08-14T20:56:17.3912540Z         >>> batch_size, feature_size = 3, 5
2025-08-14T20:56:17.3912720Z         >>>
2025-08-14T20:56:17.3912850Z         >>> def model(weights, feature_vec):
2025-08-14T20:56:17.3913060Z         >>> # Very simple linear model with activation
2025-08-14T20:56:17.3913270Z         >>>     assert feature_vec.dim() == 1
2025-08-14T20:56:17.3913490Z         >>>     return feature_vec.dot(weights).relu()
2025-08-14T20:56:17.3913670Z         >>>
2025-08-14T20:56:17.3913820Z         >>> def compute_loss(weights, example, target):
2025-08-14T20:56:17.3914030Z         >>>     y = model(weights, example)
2025-08-14T20:56:17.3914250Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-14T20:56:17.3914440Z         >>>
2025-08-14T20:56:17.3914610Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T20:56:17.3914880Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T20:56:17.3915100Z         >>> targets = torch.randn(batch_size)
2025-08-14T20:56:17.3915310Z         >>> inputs = (weights, examples, targets)
2025-08-14T20:56:17.3915590Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-14T20:56:17.3915850Z         ...     *inputs
2025-08-14T20:56:17.3915990Z         ... )
2025-08-14T20:56:17.3916060Z 
2025-08-14T20:56:17.3916170Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-14T20:56:17.3916340Z 
2025-08-14T20:56:17.3916390Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:17.3916560Z         >>> from torch.func import grad
2025-08-14T20:56:17.3916760Z         >>> def my_loss_func(y, y_pred):
2025-08-14T20:56:17.3917000Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-14T20:56:17.3917210Z         >>>    loss = loss_per_sample.mean()
2025-08-14T20:56:17.3917430Z         >>>    return loss, (y_pred, loss_per_sample)
2025-08-14T20:56:17.3917610Z         >>>
2025-08-14T20:56:17.3917770Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-14T20:56:17.3917990Z         >>> y_true = torch.rand(4)
2025-08-14T20:56:17.3918180Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-14T20:56:17.3918380Z         >>> out = fn(y_true, y_preds)
2025-08-14T20:56:17.3918650Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-14T20:56:17.3918870Z 
2025-08-14T20:56:17.3918920Z     .. note::
2025-08-14T20:56:17.3919100Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-14T20:56:17.3919270Z 
2025-08-14T20:56:17.3919370Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-08-14T20:56:17.3919530Z 
2025-08-14T20:56:17.3919590Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:17.3919760Z             >>> def f(x):
2025-08-14T20:56:17.3919910Z             >>>     with torch.no_grad():
2025-08-14T20:56:17.3920090Z             >>>         c = x ** 2
2025-08-14T20:56:17.3920260Z             >>>     return x - c
2025-08-14T20:56:17.3920370Z 
2025-08-14T20:56:17.3920490Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-14T20:56:17.3920670Z 
2025-08-14T20:56:17.3920790Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-14T20:56:17.3920960Z 
2025-08-14T20:56:17.3921020Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:17.3921190Z             >>> with torch.no_grad():
2025-08-14T20:56:17.3921370Z             >>>     grad(f)(x)
2025-08-14T20:56:17.3921470Z 
2025-08-14T20:56:17.3921610Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-14T20:56:17.3921990Z         outer one. This is because ``grad`` is a "function transform": its result
2025-08-14T20:56:17.3922350Z         should not depend on the result of a context manager outside of ``f``.
2025-08-14T20:56:17.3922550Z 
2025-08-14T20:56:17.3922590Z     
2025-08-14T20:56:17.3922800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3923020Z 
2025-08-14T20:56:17.3923420Z msg = Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-08-14T20:56:17.3924040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3924260Z 
2025-08-14T20:56:17.3924390Z Test if two objects are equal, and print an error message if test fails.
2025-08-14T20:56:17.3924590Z 
2025-08-14T20:56:17.3924670Z The test is performed with ``actual == desired``.
2025-08-14T20:56:17.3924820Z 
2025-08-14T20:56:17.3924870Z Parameters
2025-08-14T20:56:17.3924990Z ----------
2025-08-14T20:56:17.3925110Z test_string : str
2025-08-14T20:56:17.3925260Z     The message supplied to AssertionError.
2025-08-14T20:56:17.3925440Z actual : object
2025-08-14T20:56:17.3925610Z     The object to test for equality against `desired`.
2025-08-14T20:56:17.3925810Z desired : object
2025-08-14T20:56:17.3925940Z     The expected result.
2025-08-14T20:56:17.3926040Z 
2025-08-14T20:56:17.3926080Z Examples
2025-08-14T20:56:17.3926190Z --------
2025-08-14T20:56:17.3926310Z >>> np.testing.print_assert_equal(
2025-08-14T20:56:17.3926500Z ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-08-14T20:56:17.3926680Z ... )  # doctest: +SKIP
2025-08-14T20:56:17.3926840Z >>> np.testing.print_assert_equal(
2025-08-14T20:56:17.3927030Z ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-08-14T20:56:17.3927200Z ... )  # doctest: +SKIP
2025-08-14T20:56:17.3927360Z Traceback (most recent call last):
2025-08-14T20:56:17.3927520Z ...
2025-08-14T20:56:17.3927660Z AssertionError: Test XYZ of func xyz failed
2025-08-14T20:56:17.3927880Z ACTUAL:
2025-08-14T20:56:17.3927980Z [0, 1]
2025-08-14T20:56:17.3928090Z DESIRED:
2025-08-14T20:56:17.3928190Z [0, 2]
2025-08-14T20:56:17.3928250Z 
2025-08-14T20:56:17.3928260Z 
2025-08-14T20:56:17.3928400Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3928620Z 
2025-08-14T20:56:17.3929020Z msg = Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-08-14T20:56:17.3929630Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3929850Z 
2025-08-14T20:56:17.3929970Z Raises an AssertionError if two items are not equal up to desired
2025-08-14T20:56:17.3930200Z precision.
2025-08-14T20:56:17.3930270Z 
2025-08-14T20:56:17.3930380Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:17.3930660Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:17.3930960Z           instead of this function for more consistent floating point
2025-08-14T20:56:17.3931190Z           comparisons.
2025-08-14T20:56:17.3931290Z 
2025-08-14T20:56:17.3931420Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-08-14T20:56:17.3931610Z 
2025-08-14T20:56:17.3931710Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-08-14T20:56:17.3931870Z 
2025-08-14T20:56:17.3932010Z That is a looser test than originally documented, but agrees with what the
2025-08-14T20:56:17.3932360Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-08-14T20:56:17.3932700Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-08-14T20:56:17.3932980Z delegates to assert_array_almost_equal
2025-08-14T20:56:17.3933110Z 
2025-08-14T20:56:17.3933150Z Parameters
2025-08-14T20:56:17.3933270Z ----------
2025-08-14T20:56:17.3933380Z actual : array_like
2025-08-14T20:56:17.3933570Z     The object to check.
2025-08-14T20:56:17.3933720Z desired : array_like
2025-08-14T20:56:17.3933890Z     The expected object.
2025-08-14T20:56:17.3934040Z decimal : int, optional
2025-08-14T20:56:17.3934200Z     Desired precision, default is 7.
2025-08-14T20:56:17.3934380Z err_msg : str, optional
2025-08-14T20:56:17.3934560Z     The error message to be printed in case of failure.
2025-08-14T20:56:17.3934770Z verbose : bool, optional
2025-08-14T20:56:17.3935000Z     If True, the conflicting values are appended to the error message.
2025-08-14T20:56:17.3935180Z 
2025-08-14T20:56:17.3935230Z Raises
2025-08-14T20:56:17.3935330Z ------
2025-08-14T20:56:17.3935450Z AssertionError
2025-08-14T20:56:17.3935640Z   If actual and desired are not equal up to specified precision.
2025-08-14T20:56:17.3935820Z 
2025-08-14T20:56:17.3935870Z See Also
2025-08-14T20:56:17.3935970Z --------
2025-08-14T20:56:17.3936180Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:17.3936470Z                  relative and/or absolute precision.
2025-08-14T20:56:17.3936740Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:17.3936940Z 
2025-08-14T20:56:17.3936980Z Examples
2025-08-14T20:56:17.3937090Z --------
2025-08-14T20:56:17.3937250Z >>> from torch._numpy.testing import assert_almost_equal
2025-08-14T20:56:17.3937490Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-08-14T20:56:17.3937740Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-08-14T20:56:17.3937980Z Traceback (most recent call last):
2025-08-14T20:56:17.3938150Z     ...
2025-08-14T20:56:17.3938260Z AssertionError:
2025-08-14T20:56:17.3938410Z Arrays are not almost equal to 10 decimals
2025-08-14T20:56:17.3938600Z  ACTUAL: 2.3333333333333
2025-08-14T20:56:17.3938740Z  DESIRED: 2.33333334
2025-08-14T20:56:17.3938830Z 
2025-08-14T20:56:17.3938880Z >>> assert_almost_equal(
2025-08-14T20:56:17.3939110Z ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-08-14T20:56:17.3939370Z ... )
2025-08-14T20:56:17.3939490Z Traceback (most recent call last):
2025-08-14T20:56:17.3939660Z     ...
2025-08-14T20:56:17.3939770Z AssertionError:
2025-08-14T20:56:17.3939920Z Arrays are not almost equal to 9 decimals
2025-08-14T20:56:17.3940100Z <BLANKLINE>
2025-08-14T20:56:17.3940230Z Mismatched elements: 1 / 2 (50%)
2025-08-14T20:56:17.3940420Z Max absolute difference: 6.666699636781459e-09
2025-08-14T20:56:17.3940630Z Max relative difference: 2.8571569790287484e-09
2025-08-14T20:56:17.3940860Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-14T20:56:17.3941090Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-14T20:56:17.3941230Z 
2025-08-14T20:56:17.3941230Z 
2025-08-14T20:56:17.3941380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.3941600Z 
2025-08-14T20:56:17.3942010Z msg = Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-08-14T20:56:17.3942680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.3942910Z 
2025-08-14T20:56:17.3943040Z Raises an AssertionError if two items are not equal up to significant
2025-08-14T20:56:17.3943290Z digits.
2025-08-14T20:56:17.3943360Z 
2025-08-14T20:56:17.3943470Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:17.3943750Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:17.3944050Z           instead of this function for more consistent floating point
2025-08-14T20:56:17.3948960Z           comparisons.
2025-08-14T20:56:17.3949070Z 
2025-08-14T20:56:17.3949170Z Given two numbers, check that they are approximately equal.
2025-08-14T20:56:17.3949480Z Approximately equal is defined as the number of significant digits
2025-08-14T20:56:17.3949720Z that agree.
2025-08-14T20:56:17.3949790Z 
2025-08-14T20:56:17.3950020Z Parameters
2025-08-14T20:56:17.3950150Z ----------
2025-08-14T20:56:17.3950260Z actual : scalar
2025-08-14T20:56:17.3950430Z     The object to check.
2025-08-14T20:56:17.3950580Z desired : scalar
2025-08-14T20:56:17.3950710Z     The expected object.
2025-08-14T20:56:17.3950860Z significant : int, optional
2025-08-14T20:56:17.3951030Z     Desired precision, default is 7.
2025-08-14T20:56:17.3951210Z err_msg : str, optional
2025-08-14T20:56:17.3951400Z     The error message to be printed in case of failure.
2025-08-14T20:56:17.3951610Z verbose : bool, optional
2025-08-14T20:56:17.3951840Z     If True, the conflicting values are appended to the error message.
2025-08-14T20:56:17.3952030Z 
2025-08-14T20:56:17.3952070Z Raises
2025-08-14T20:56:17.3952180Z ------
2025-08-14T20:56:17.3952290Z AssertionError
2025-08-14T20:56:17.3952480Z   If actual and desired are not equal up to specified precision.
2025-08-14T20:56:17.3952660Z 
2025-08-14T20:56:17.3952720Z See Also
2025-08-14T20:56:17.3952820Z --------
2025-08-14T20:56:17.3953030Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:17.3953330Z                  relative and/or absolute precision.
2025-08-14T20:56:17.3953590Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:17.3953780Z 
2025-08-14T20:56:17.3953830Z Examples
2025-08-14T20:56:17.3953940Z --------
2025-08-14T20:56:17.3954070Z >>> np.testing.assert_approx_equal(
2025-08-14T20:56:17.3954260Z ...     0.12345677777777e-20, 0.1234567e-20
2025-08-14T20:56:17.3954430Z ... )  # doctest: +SKIP
2025-08-14T20:56:17.3954590Z >>> np.testing.assert_approx_equal(
2025-08-14T20:56:17.3954760Z ...     0.12345670e-20,
2025-08-14T20:56:17.3954920Z ...     0.12345671e-20,  # doctest: +SKIP
2025-08-14T20:56:17.3955090Z ...     significant=8,
2025-08-14T20:56:17.3955220Z ... )
2025-08-14T20:56:17.3955350Z >>> np.testing.assert_approx_equal(
2025-08-14T20:56:17.3955510Z ...     0.12345670e-20,
2025-08-14T20:56:17.3955670Z ...     0.12345672e-20,  # doctest: +SKIP
2025-08-14T20:56:17.3955840Z ...     significant=8,
2025-08-14T20:56:17.3956010Z ... )
2025-08-14T20:56:17.3956130Z Traceback (most recent call last):
2025-08-14T20:56:17.3956290Z     ...
2025-08-14T20:56:17.3956410Z AssertionError:
2025-08-14T20:56:17.3956560Z Items are not equal to 8 significant digits:
2025-08-14T20:56:17.3956740Z  ACTUAL: 1.234567e-21
2025-08-14T20:56:17.3956880Z  DESIRED: 1.2345672e-21
2025-08-14T20:56:17.3956980Z 
2025-08-14T20:56:17.3957070Z the evaluated condition that raises the exception is
2025-08-14T20:56:17.3957240Z 
2025-08-14T20:56:17.3957360Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-08-14T20:56:17.3957590Z True
2025-08-14T20:56:17.3957660Z 
2025-08-14T20:56:17.3957660Z 
2025-08-14T20:56:17.3957810Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5545920Z 
2025-08-14T20:56:17.5546630Z msg = Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-08-14T20:56:17.5547330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5547570Z 
2025-08-14T20:56:17.5547700Z Raises an AssertionError if two array_like objects are not equal.
2025-08-14T20:56:17.5547900Z 
2025-08-14T20:56:17.5548040Z Given two array_like objects, check that the shape is equal and all
2025-08-14T20:56:17.5548380Z elements of these objects are equal (but see the Notes for the special
2025-08-14T20:56:17.5548720Z handling of a scalar). An exception is raised at shape mismatch or
2025-08-14T20:56:17.5549090Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-08-14T20:56:17.5549420Z are compared like numbers, no assertion is raised if both objects have
2025-08-14T20:56:17.5549690Z NaNs in the same positions.
2025-08-14T20:56:17.5549810Z 
2025-08-14T20:56:17.5549940Z The usual caution for verifying equality with floating point numbers is
2025-08-14T20:56:17.5550420Z advised.
2025-08-14T20:56:17.5550500Z 
2025-08-14T20:56:17.5550600Z Parameters
2025-08-14T20:56:17.5550730Z ----------
2025-08-14T20:56:17.5550850Z x : array_like
2025-08-14T20:56:17.5550980Z     The actual object to check.
2025-08-14T20:56:17.5551150Z y : array_like
2025-08-14T20:56:17.5551290Z     The desired, expected object.
2025-08-14T20:56:17.5551470Z err_msg : str, optional
2025-08-14T20:56:17.5551660Z     The error message to be printed in case of failure.
2025-08-14T20:56:17.5551870Z verbose : bool, optional
2025-08-14T20:56:17.5552090Z     If True, the conflicting values are appended to the error message.
2025-08-14T20:56:17.5552330Z strict : bool, optional
2025-08-14T20:56:17.5552550Z     If True, raise an AssertionError when either the shape or the data
2025-08-14T20:56:17.5552840Z     type of the array_like objects does not match. The special
2025-08-14T20:56:17.5553130Z     handling for scalars mentioned in the Notes section is disabled.
2025-08-14T20:56:17.5553320Z 
2025-08-14T20:56:17.5553370Z Raises
2025-08-14T20:56:17.5553480Z ------
2025-08-14T20:56:17.5553590Z AssertionError
2025-08-14T20:56:17.5553750Z     If actual and desired objects are not equal.
2025-08-14T20:56:17.5553900Z 
2025-08-14T20:56:17.5553940Z See Also
2025-08-14T20:56:17.5554050Z --------
2025-08-14T20:56:17.5554250Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:17.5554530Z                  relative and/or absolute precision.
2025-08-14T20:56:17.5554800Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:17.5555000Z 
2025-08-14T20:56:17.5555040Z Notes
2025-08-14T20:56:17.5555140Z -----
2025-08-14T20:56:17.5555310Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-08-14T20:56:17.5555620Z function checks that each element of the array_like object is equal to
2025-08-14T20:56:17.5555950Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-08-14T20:56:17.5556150Z 
2025-08-14T20:56:17.5556200Z Examples
2025-08-14T20:56:17.5556350Z --------
2025-08-14T20:56:17.5556500Z The first assert does not raise an exception:
2025-08-14T20:56:17.5556640Z 
2025-08-14T20:56:17.5556710Z >>> np.testing.assert_array_equal(
2025-08-14T20:56:17.5556800Z ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-08-14T20:56:17.5556840Z ... )
2025-08-14T20:56:17.5556840Z 
2025-08-14T20:56:17.5556980Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-08-14T20:56:17.5557040Z functions for these cases instead:
2025-08-14T20:56:17.5557050Z 
2025-08-14T20:56:17.5557110Z >>> np.testing.assert_allclose(
2025-08-14T20:56:17.5557230Z ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-08-14T20:56:17.5557280Z ... )
2025-08-14T20:56:17.5557280Z 
2025-08-14T20:56:17.5557400Z As mentioned in the Notes section, `assert_array_equal` has special
2025-08-14T20:56:17.5557530Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-08-14T20:56:17.5557540Z 
2025-08-14T20:56:17.5557600Z >>> x = np.full((2, 5), fill_value=3)
2025-08-14T20:56:17.5557670Z >>> np.testing.assert_array_equal(x, 3)
2025-08-14T20:56:17.5557670Z 
2025-08-14T20:56:17.5557800Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-08-14T20:56:17.5557840Z array:
2025-08-14T20:56:17.5557840Z 
2025-08-14T20:56:17.5557930Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-08-14T20:56:17.5558000Z Traceback (most recent call last):
2025-08-14T20:56:17.5558040Z     ...
2025-08-14T20:56:17.5558090Z AssertionError:
2025-08-14T20:56:17.5558130Z Arrays are not equal
2025-08-14T20:56:17.5558180Z <BLANKLINE>
2025-08-14T20:56:17.5558230Z (shapes (2, 5), () mismatch)
2025-08-14T20:56:17.5558290Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-08-14T20:56:17.5558340Z         [3, 3, 3, 3, 3]])
2025-08-14T20:56:17.5558390Z  y: torch.ndarray(3)
2025-08-14T20:56:17.5558390Z 
2025-08-14T20:56:17.5558570Z The `strict` parameter also ensures that the array data types match:
2025-08-14T20:56:17.5558570Z 
2025-08-14T20:56:17.5558630Z >>> x = np.array([2, 2, 2])
2025-08-14T20:56:17.5558750Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-08-14T20:56:17.5558840Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-08-14T20:56:17.5558910Z Traceback (most recent call last):
2025-08-14T20:56:17.5558940Z     ...
2025-08-14T20:56:17.5559000Z AssertionError:
2025-08-14T20:56:17.5559040Z Arrays are not equal
2025-08-14T20:56:17.5559090Z <BLANKLINE>
2025-08-14T20:56:17.5559170Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-08-14T20:56:17.5559230Z  x: torch.ndarray([2, 2, 2])
2025-08-14T20:56:17.5559290Z  y: torch.ndarray([2., 2., 2.])
2025-08-14T20:56:17.5559290Z 
2025-08-14T20:56:17.5559440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5559440Z 
2025-08-14T20:56:17.5559860Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-08-14T20:56:17.5560020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5560020Z 
2025-08-14T20:56:17.5560150Z Raises an AssertionError if two objects are not equal up to desired
2025-08-14T20:56:17.5560200Z precision.
2025-08-14T20:56:17.5560200Z 
2025-08-14T20:56:17.5560330Z .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:17.5560450Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:17.5560560Z           instead of this function for more consistent floating point
2025-08-14T20:56:17.5560610Z           comparisons.
2025-08-14T20:56:17.5560620Z 
2025-08-14T20:56:17.5560760Z The test verifies identical shapes and that the elements of ``actual`` and
2025-08-14T20:56:17.5560810Z ``desired`` satisfy.
2025-08-14T20:56:17.5560810Z 
2025-08-14T20:56:17.5560890Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-08-14T20:56:17.5560890Z 
2025-08-14T20:56:17.5561040Z That is a looser test than originally documented, but agrees with what the
2025-08-14T20:56:17.5561220Z actual implementation did up to rounding vagaries. An exception is raised
2025-08-14T20:56:17.5561370Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-08-14T20:56:17.5561500Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-08-14T20:56:17.5561560Z objects have NaNs in the same positions.
2025-08-14T20:56:17.5561570Z 
2025-08-14T20:56:17.5561610Z Parameters
2025-08-14T20:56:17.5561650Z ----------
2025-08-14T20:56:17.5561700Z x : array_like
2025-08-14T20:56:17.5561750Z     The actual object to check.
2025-08-14T20:56:17.5561800Z y : array_like
2025-08-14T20:56:17.5561860Z     The desired, expected object.
2025-08-14T20:56:17.5561910Z decimal : int, optional
2025-08-14T20:56:17.5561970Z     Desired precision, default is 6.
2025-08-14T20:56:17.5562020Z err_msg : str, optional
2025-08-14T20:56:17.5562110Z   The error message to be printed in case of failure.
2025-08-14T20:56:17.5562170Z verbose : bool, optional
2025-08-14T20:56:17.5562300Z     If True, the conflicting values are appended to the error message.
2025-08-14T20:56:17.5562300Z 
2025-08-14T20:56:17.5562340Z Raises
2025-08-14T20:56:17.5562380Z ------
2025-08-14T20:56:17.5562430Z AssertionError
2025-08-14T20:56:17.5562540Z     If actual and desired are not equal up to specified precision.
2025-08-14T20:56:17.5562550Z 
2025-08-14T20:56:17.5562590Z See Also
2025-08-14T20:56:17.5562640Z --------
2025-08-14T20:56:17.5562780Z assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:17.5562860Z                  relative and/or absolute precision.
2025-08-14T20:56:17.5562980Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:17.5562980Z 
2025-08-14T20:56:17.5563030Z Examples
2025-08-14T20:56:17.5563070Z --------
2025-08-14T20:56:17.5563140Z the first assert does not raise an exception
2025-08-14T20:56:17.5563180Z 
2025-08-14T20:56:17.5563340Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-08-14T20:56:17.5563360Z 
2025-08-14T20:56:17.5563440Z >>> np.testing.assert_array_almost_equal(
2025-08-14T20:56:17.5563530Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-08-14T20:56:17.5563570Z ... )
2025-08-14T20:56:17.5563630Z Traceback (most recent call last):
2025-08-14T20:56:17.5563680Z     ...
2025-08-14T20:56:17.5563720Z AssertionError:
2025-08-14T20:56:17.5563790Z Arrays are not almost equal to 5 decimals
2025-08-14T20:56:17.5563840Z <BLANKLINE>
2025-08-14T20:56:17.5563890Z Mismatched elements: 1 / 3 (33.3%)
2025-08-14T20:56:17.5563970Z Max absolute difference: 5.999999999994898e-05
2025-08-14T20:56:17.5564040Z Max relative difference: 2.5713661239633743e-05
2025-08-14T20:56:17.5564140Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-14T20:56:17.5564240Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-08-14T20:56:17.5564240Z 
2025-08-14T20:56:17.5564310Z >>> np.testing.assert_array_almost_equal(
2025-08-14T20:56:17.5564400Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-08-14T20:56:17.5564450Z ... )
2025-08-14T20:56:17.5564500Z Traceback (most recent call last):
2025-08-14T20:56:17.5564550Z     ...
2025-08-14T20:56:17.5564600Z AssertionError:
2025-08-14T20:56:17.5564660Z Arrays are not almost equal to 5 decimals
2025-08-14T20:56:17.5564710Z <BLANKLINE>
2025-08-14T20:56:17.5564770Z x and y nan location mismatch:
2025-08-14T20:56:17.5564860Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-14T20:56:17.5564950Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-08-14T20:56:17.5564960Z 
2025-08-14T20:56:17.5564960Z 
2025-08-14T20:56:17.5565120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5565120Z 
2025-08-14T20:56:17.5565540Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-08-14T20:56:17.5565730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5565860Z Context manager that resets warning registry for catching warnings
2025-08-14T20:56:17.5565860Z 
2025-08-14T20:56:17.5566020Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-08-14T20:56:17.5566160Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-08-14T20:56:17.5566300Z     it impossible to retrigger the warning in this module, whatever you put in
2025-08-14T20:56:17.5566440Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-08-14T20:56:17.5566530Z     as a keyword argument to its constructor and:
2025-08-14T20:56:17.5566540Z 
2025-08-14T20:56:17.5566670Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-08-14T20:56:17.5566720Z       on entry;
2025-08-14T20:56:17.5566830Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-08-14T20:56:17.5566840Z 
2025-08-14T20:56:17.5566980Z     This makes it possible to trigger any warning afresh inside the context
2025-08-14T20:56:17.5567090Z     manager without disturbing the state of warnings outside.
2025-08-14T20:56:17.5567090Z 
2025-08-14T20:56:17.5567230Z     For compatibility with Python 3.0, please consider all arguments to be
2025-08-14T20:56:17.5567280Z     keyword-only.
2025-08-14T20:56:17.5567280Z 
2025-08-14T20:56:17.5567330Z     Parameters
2025-08-14T20:56:17.5567380Z     ----------
2025-08-14T20:56:17.5567430Z     record : bool, optional
2025-08-14T20:56:17.5567540Z         Specifies whether warnings should be captured by a custom
2025-08-14T20:56:17.5567690Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-08-14T20:56:17.5567810Z         returned by the context manager. Otherwise None is returned by the
2025-08-14T20:56:17.5568040Z         context manager. The objects appended to the list are arguments whose
2025-08-14T20:56:17.5568170Z         attributes mirror the arguments to ``showwarning()``.
2025-08-14T20:56:17.5568230Z     modules : sequence, optional
2025-08-14T20:56:17.5568370Z         Sequence of modules for which to reset warnings registry on entry and
2025-08-14T20:56:17.5568480Z         restore on exit. To work correctly, all 'ignore' filters should
2025-08-14T20:56:17.5568550Z         filter by one of these modules.
2025-08-14T20:56:17.5568550Z 
2025-08-14T20:56:17.5568590Z     Examples
2025-08-14T20:56:17.5568640Z     --------
2025-08-14T20:56:17.5568690Z     >>> import warnings
2025-08-14T20:56:17.5568800Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-08-14T20:56:17.5568870Z     ...     modules=[np.core.fromnumeric]
2025-08-14T20:56:17.5568910Z     ... ):
2025-08-14T20:56:17.5568980Z     ...     warnings.simplefilter("always")
2025-08-14T20:56:17.5569130Z     ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-08-14T20:56:17.5569230Z     ...     # do something that raises a warning but ignore those in
2025-08-14T20:56:17.5569310Z     ...     # np.core.fromnumeric
2025-08-14T20:56:17.5569350Z     
2025-08-14T20:56:17.5569500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5689660Z 
2025-08-14T20:56:17.5690150Z msg = Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-08-14T20:56:17.5690350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5690490Z Return the recommended gain value for the given nonlinearity function.
2025-08-14T20:56:17.5690490Z 
2025-08-14T20:56:17.5690550Z     The values are as follows:
2025-08-14T20:56:17.5690550Z 
2025-08-14T20:56:17.5690630Z     ================= ====================================================
2025-08-14T20:56:17.5690690Z     nonlinearity      gain
2025-08-14T20:56:17.5690840Z     ================= ====================================================
2025-08-14T20:56:17.5690900Z     Linear / Identity :math:`1`
2025-08-14T20:56:17.5690950Z     Conv{1,2,3}D      :math:`1`
2025-08-14T20:56:17.5691010Z     Sigmoid           :math:`1`
2025-08-14T20:56:17.5691070Z     Tanh              :math:`\frac{5}{3}`
2025-08-14T20:56:17.5691130Z     ReLU              :math:`\sqrt{2}`
2025-08-14T20:56:17.5691250Z     Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-08-14T20:56:17.5691310Z     SELU              :math:`\frac{3}{4}`
2025-08-14T20:56:17.5691380Z     ================= ====================================================
2025-08-14T20:56:17.5691390Z 
2025-08-14T20:56:17.5691440Z     .. warning::
2025-08-14T20:56:17.5691560Z         In order to implement `Self-Normalizing Neural Networks`_ ,
2025-08-14T20:56:17.5691710Z         you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-08-14T20:56:17.5691810Z         This gives the initial weights a variance of ``1 / N``,
2025-08-14T20:56:17.5691960Z         which is necessary to induce a stable fixed point in the forward pass.
2025-08-14T20:56:17.5692100Z         In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-08-14T20:56:17.5692210Z         effect for more stable gradient flow in rectangular layers.
2025-08-14T20:56:17.5692220Z 
2025-08-14T20:56:17.5692260Z     Args:
2025-08-14T20:56:17.5692390Z         nonlinearity: the non-linear function (`nn.functional` name)
2025-08-14T20:56:17.5692490Z         param: optional parameter for the non-linear function
2025-08-14T20:56:17.5692490Z 
2025-08-14T20:56:17.5692540Z     Examples:
2025-08-14T20:56:17.5692610Z         >>> gain = nn.init.calculate_gain(
2025-08-14T20:56:17.5692660Z         ...     "leaky_relu", 0.2
2025-08-14T20:56:17.5692740Z         ... )  # leaky_relu with negative_slope=0.2
2025-08-14T20:56:17.5692740Z 
2025-08-14T20:56:17.5693100Z     .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-08-14T20:56:17.5693170Z     
2025-08-14T20:56:17.5693330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5693330Z 
2025-08-14T20:56:17.5693790Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-08-14T20:56:17.5693950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5693950Z 
2025-08-14T20:56:17.5694090Z Context manager for training with uneven inputs across processes in DDP.
2025-08-14T20:56:17.5694090Z 
2025-08-14T20:56:17.5694230Z This context manager will keep track of already-joined DDP processes,
2025-08-14T20:56:17.5694360Z and "shadow" the forward and backward passes by inserting collective
2025-08-14T20:56:17.5694500Z communication operations to match with the ones created by non-joined
2025-08-14T20:56:17.5694640Z DDP processes. This will ensure each collective call has a corresponding
2025-08-14T20:56:17.5694780Z call by already-joined DDP processes, preventing hangs or errors that
2025-08-14T20:56:17.5694900Z would otherwise happen when training with uneven inputs across
2025-08-14T20:56:17.5695050Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-08-14T20:56:17.5695170Z specified to be ``True``, all trainers will throw an error once one rank
2025-08-14T20:56:17.5695300Z runs out of inputs, allowing these errors to be caught and handled
2025-08-14T20:56:17.5695360Z according to application logic.
2025-08-14T20:56:17.5695370Z 
2025-08-14T20:56:17.5695500Z Once all DDP processes have joined, the context manager will broadcast
2025-08-14T20:56:17.5695630Z the model corresponding to the last joined process to all processes to
2025-08-14T20:56:17.5695710Z ensure the model is the same across all processes
2025-08-14T20:56:17.5695780Z (which is guaranteed by DDP).
2025-08-14T20:56:17.5695800Z 
2025-08-14T20:56:17.5695920Z To use this to enable training with uneven inputs across processes,
2025-08-14T20:56:17.5696060Z simply wrap this context manager around your training loop. No further
2025-08-14T20:56:17.5696160Z modifications to the model or data loading is required.
2025-08-14T20:56:17.5696160Z 
2025-08-14T20:56:17.5696210Z .. warning::
2025-08-14T20:56:17.5696330Z     If the model or training loop this context manager is wrapped around
2025-08-14T20:56:17.5696450Z     has additional distributed collective operations, such as
2025-08-14T20:56:17.5696560Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-08-14T20:56:17.5696690Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-08-14T20:56:17.5696810Z     context manager is not aware of non-DDP collective communication.
2025-08-14T20:56:17.5696920Z     This flag will cause all ranks to throw when any one rank
2025-08-14T20:56:17.5697040Z     exhausts inputs, allowing these errors to be caught and recovered
2025-08-14T20:56:17.5697100Z     from across all ranks.
2025-08-14T20:56:17.5697100Z 
2025-08-14T20:56:17.5697140Z Args:
2025-08-14T20:56:17.5697250Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-08-14T20:56:17.5697370Z         gradients by the initial ``world_size`` DDP training was launched
2025-08-14T20:56:17.5697470Z         with. If ``False``, will compute the effective world size
2025-08-14T20:56:17.5697580Z         (number of ranks that have not depleted their inputs yet) and
2025-08-14T20:56:17.5697670Z         divide gradients by that during allreduce. Set
2025-08-14T20:56:17.5697780Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-08-14T20:56:17.5697910Z         sample including the uneven inputs have equal weight in terms of
2025-08-14T20:56:17.5698010Z         how much they contribute to the global gradient. This is
2025-08-14T20:56:17.5698150Z         achieved by always dividing the gradient by the initial
2025-08-14T20:56:17.5698280Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-08-14T20:56:17.5698410Z         this to ``False``, we divide the gradient by the remaining
2025-08-14T20:56:17.5698530Z         number of nodes. This ensures parity with training on a smaller
2025-08-14T20:56:17.5698640Z         ``world_size`` although it also means the uneven inputs would
2025-08-14T20:56:17.5698760Z         contribute more towards the global gradient. Typically, you
2025-08-14T20:56:17.5698870Z         would want to set this to ``True`` for cases where the last few
2025-08-14T20:56:17.5698990Z         inputs of your training job are uneven. In extreme cases, where
2025-08-14T20:56:17.5699100Z         there is a large discrepancy in the number of inputs, setting
2025-08-14T20:56:17.5699190Z         this to ``False`` might provide better results.
2025-08-14T20:56:17.5699310Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-08-14T20:56:17.5699420Z         in ``enable=False`` to disable in cases where you know that
2025-08-14T20:56:17.5699540Z         inputs are even across participating processes. Default is
2025-08-14T20:56:17.5699590Z         ``True``.
2025-08-14T20:56:17.5699700Z     throw_on_early_termination (bool): Whether to throw an error
2025-08-14T20:56:17.5699800Z         or continue training when at least one rank has exhausted
2025-08-14T20:56:17.5699910Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-08-14T20:56:17.5700010Z         of data. If ``False``, will continue training with a smaller
2025-08-14T20:56:17.5700130Z         effective world size until all ranks are joined. Note that if
2025-08-14T20:56:17.5700190Z         this flag is specified, then the flag
2025-08-14T20:56:17.5700300Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-08-14T20:56:17.5700340Z         is ``False``.
2025-08-14T20:56:17.5700350Z 
2025-08-14T20:56:17.5700350Z 
2025-08-14T20:56:17.5700400Z Example::
2025-08-14T20:56:17.5700430Z 
2025-08-14T20:56:17.5700490Z     >>> # xdoctest: +SKIP("Distributed")
2025-08-14T20:56:17.5700540Z     >>> import torch
2025-08-14T20:56:17.5700600Z     >>> import torch.distributed as dist
2025-08-14T20:56:17.5700650Z     >>> import os
2025-08-14T20:56:17.5700720Z     >>> import torch.multiprocessing as mp
2025-08-14T20:56:17.5700770Z     >>> import torch.nn as nn
2025-08-14T20:56:17.5700830Z     >>> # On each spawned worker
2025-08-14T20:56:17.5700880Z     >>> def worker(rank):
2025-08-14T20:56:17.5700990Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-08-14T20:56:17.5701050Z     >>>     torch.cuda.set_device(rank)
2025-08-14T20:56:17.5701130Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-08-14T20:56:17.5701240Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-08-14T20:56:17.5701320Z     >>>         model, device_ids=[rank], output_device=rank
2025-08-14T20:56:17.5701360Z     >>>     )
2025-08-14T20:56:17.5701440Z     >>>     # Rank 1 gets one more input than rank 0.
2025-08-14T20:56:17.5701560Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-08-14T20:56:17.5701620Z     >>>     with model.join():
2025-08-14T20:56:17.5701670Z     >>>         for _ in range(5):
2025-08-14T20:56:17.5701730Z     >>>             for inp in inputs:
2025-08-14T20:56:17.5701790Z     >>>                 loss = model(inp).sum()
2025-08-14T20:56:17.5701850Z     >>>                 loss.backward()
2025-08-14T20:56:17.5701970Z     >>>     # Without the join() API, the below synchronization will hang
2025-08-14T20:56:17.5702050Z     >>>     # blocking for rank 1's allreduce to complete.
2025-08-14T20:56:17.5702120Z     >>>     torch.cuda.synchronize(device=rank)
2025-08-14T20:56:17.5702120Z 
2025-08-14T20:56:17.5702270Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5702280Z 
2025-08-14T20:56:17.5702800Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-08-14T20:56:17.5702980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5702980Z 
2025-08-14T20:56:17.5703160Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-08-14T20:56:17.5703170Z 
2025-08-14T20:56:17.5703290Z Registers an optimizer with DDP such that the optimization for a
2025-08-14T20:56:17.5703410Z parameter will run immediately when that parameter's gradient is
2025-08-14T20:56:17.5703530Z finished with reduction, instead of waiting for all parameters'
2025-08-14T20:56:17.5703660Z gradients to finish reduction. This can result in a training speedup
2025-08-14T20:56:17.5703800Z depending on your workload since the optimizer can run while gradient
2025-08-14T20:56:17.5703940Z reduction for other parameters are still ongoing. In addition, this has
2025-08-14T20:56:17.5704080Z the potential to reduce peak memory consumption during training, as it
2025-08-14T20:56:17.5704200Z only needs to load the per-parameter optimizer states of a single
2025-08-14T20:56:17.5704320Z parameter at a time, instead of loading all per-parameter optimizer
2025-08-14T20:56:17.5704370Z states at once.
2025-08-14T20:56:17.5704370Z 
2025-08-14T20:56:17.5704410Z Args:
2025-08-14T20:56:17.5704530Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-08-14T20:56:17.5704580Z     as a fused optimizer.
2025-08-14T20:56:17.5704680Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-08-14T20:56:17.5704810Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-08-14T20:56:17.5704950Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-08-14T20:56:17.5705070Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-08-14T20:56:17.5705110Z     optimized.
2025-08-14T20:56:17.5705230Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-08-14T20:56:17.5705270Z 
2025-08-14T20:56:17.5705380Z .. warning ::
2025-08-14T20:56:17.5705510Z     _register_fused_optim should only be called once on a DDP instance,
2025-08-14T20:56:17.5705640Z     and registering multiple fused optimizers for the same DDP model
2025-08-14T20:56:17.5705720Z     is not currently supported. Please ping
2025-08-14T20:56:17.5705860Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:17.5705910Z     for your use case.
2025-08-14T20:56:17.5705910Z 
2025-08-14T20:56:17.5705960Z .. warning ::
2025-08-14T20:56:17.5706080Z     _register_fused_optim and register_comm_hook currently do not
2025-08-14T20:56:17.5706210Z     compose together, meaning that custom DDP communication hooks are
2025-08-14T20:56:17.5706310Z     not supported with overlapped optimizers. Please ping
2025-08-14T20:56:17.5706450Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:17.5706510Z     for your use case.
2025-08-14T20:56:17.5706510Z 
2025-08-14T20:56:17.5706560Z .. warning ::
2025-08-14T20:56:17.5706700Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-08-14T20:56:17.5706770Z     with overlapped optimizer. Please ping
2025-08-14T20:56:17.5706910Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:17.5706960Z     for your use case.
2025-08-14T20:56:17.5706960Z 
2025-08-14T20:56:17.5707010Z Example::
2025-08-14T20:56:17.5707010Z 
2025-08-14T20:56:17.5707090Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-08-14T20:56:17.5707280Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-08-14T20:56:17.5707400Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-08-14T20:56:17.5707450Z     >>> lr = 1e-2
2025-08-14T20:56:17.5707500Z     >>> betas = (0.9, 0.99)
2025-08-14T20:56:17.5707560Z     >>> eps = 1e-6
2025-08-14T20:56:17.5707770Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-08-14T20:56:17.5707860Z     >>> # Example with subset of parameters
2025-08-14T20:56:17.5707950Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-08-14T20:56:17.5708010Z     >>> net._register_fused_optim(
2025-08-14T20:56:17.5708150Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-08-14T20:56:17.5708200Z     ... )
2025-08-14T20:56:17.5708200Z 
2025-08-14T20:56:17.5708360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5781270Z 
2025-08-14T20:56:17.5781950Z msg = Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-08-14T20:56:17.5782120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5782220Z Register a parametrization to a tensor in a module.
2025-08-14T20:56:17.5782230Z 
2025-08-14T20:56:17.5782440Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-14T20:56:17.5782630Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-14T20:56:17.5782790Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-08-14T20:56:17.5782970Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-14T20:56:17.5782980Z 
2025-08-14T20:56:17.5783180Z     The first time that a module registers a parametrization, this function will add an attribute
2025-08-14T20:56:17.5783330Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-14T20:56:17.5783340Z 
2025-08-14T20:56:17.5783500Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-14T20:56:17.5783570Z     ``module.parametrizations.weight``.
2025-08-14T20:56:17.5783580Z 
2025-08-14T20:56:17.5783660Z     The original tensor will be accessible under
2025-08-14T20:56:17.5788040Z     ``module.parametrizations.weight.original``.
2025-08-14T20:56:17.5788050Z 
2025-08-14T20:56:17.5788230Z     Parametrizations may be concatenated by registering several parametrizations
2025-08-14T20:56:17.5788290Z     on the same attribute.
2025-08-14T20:56:17.5788290Z 
2025-08-14T20:56:17.5788440Z     The training mode of a registered parametrization is updated on registration
2025-08-14T20:56:17.5788520Z     to match the training mode of the host module
2025-08-14T20:56:17.5788530Z 
2025-08-14T20:56:17.5788710Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-14T20:56:17.5788790Z     using the context manager :func:`cached`.
2025-08-14T20:56:17.5788790Z 
2025-08-14T20:56:17.5788940Z     A :attr:`parametrization` may optionally implement a method with signature
2025-08-14T20:56:17.5788950Z 
2025-08-14T20:56:17.5789020Z     .. code-block:: python
2025-08-14T20:56:17.5789020Z 
2025-08-14T20:56:17.5789160Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-14T20:56:17.5789170Z 
2025-08-14T20:56:17.5789330Z     This method is called on the unparametrized tensor when the first parametrization
2025-08-14T20:56:17.5789460Z     is registered to compute the initial value of the original tensor.
2025-08-14T20:56:17.5789650Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-14T20:56:17.5789650Z 
2025-08-14T20:56:17.5789840Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-14T20:56:17.5790020Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-14T20:56:17.5790020Z 
2025-08-14T20:56:17.5790170Z     It is possible for the first parametrization to depend on several inputs.
2025-08-14T20:56:17.5790320Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-14T20:56:17.5790550Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-08-14T20:56:17.5790590Z 
2025-08-14T20:56:17.5790810Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-14T20:56:17.5790890Z     with names ``original0``, ``original1``,...
2025-08-14T20:56:17.5790890Z 
2025-08-14T20:56:17.5790940Z     .. note::
2025-08-14T20:56:17.5790950Z 
2025-08-14T20:56:17.5791110Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-14T20:56:17.5791210Z         once to perform a number of consistency checks.
2025-08-14T20:56:17.5791370Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-14T20:56:17.5791450Z         and nothing will be called otherwise.
2025-08-14T20:56:17.5791450Z 
2025-08-14T20:56:17.5791500Z     .. note::
2025-08-14T20:56:17.5791500Z 
2025-08-14T20:56:17.5791640Z         In most situations, ``right_inverse`` will be a function such that
2025-08-14T20:56:17.5791710Z         ``forward(right_inverse(X)) == X`` (see
2025-08-14T20:56:17.5791900Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-14T20:56:17.5792060Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-14T20:56:17.5792110Z         to relax this.
2025-08-14T20:56:17.5792110Z 
2025-08-14T20:56:17.5792160Z     .. warning::
2025-08-14T20:56:17.5792160Z 
2025-08-14T20:56:17.5792330Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-14T20:56:17.5792490Z         will register a number of new parameters. If such parametrization is registered
2025-08-14T20:56:17.5792660Z         after the optimizer is created, these new parameters will need to be added manually
2025-08-14T20:56:17.5792790Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-14T20:56:17.5792790Z 
2025-08-14T20:56:17.5792840Z     Args:
2025-08-14T20:56:17.5792970Z         module (nn.Module): module on which to register the parametrization
2025-08-14T20:56:17.5793140Z         tensor_name (str): name of the parameter or buffer on which to register
2025-08-14T20:56:17.5793200Z             the parametrization
2025-08-14T20:56:17.5793320Z         parametrization (nn.Module): the parametrization to register
2025-08-14T20:56:17.5793370Z     Keyword args:
2025-08-14T20:56:17.5793510Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-14T20:56:17.5793630Z             may change the dtype and shape of the tensor. Default: `False`
2025-08-14T20:56:17.5793800Z             Warning: the parametrization is not checked for consistency upon registration.
2025-08-14T20:56:17.5793870Z             Enable this flag at your own risk.
2025-08-14T20:56:17.5793870Z 
2025-08-14T20:56:17.5793920Z     Raises:
2025-08-14T20:56:17.5794100Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-14T20:56:17.5794100Z 
2025-08-14T20:56:17.5794150Z     Examples:
2025-08-14T20:56:17.5794250Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T20:56:17.5794310Z         >>> import torch
2025-08-14T20:56:17.5794360Z         >>> import torch.nn as nn
2025-08-14T20:56:17.5794450Z         >>> import torch.nn.utils.parametrize as P
2025-08-14T20:56:17.5794490Z         >>>
2025-08-14T20:56:17.5794550Z         >>> class Symmetric(nn.Module):
2025-08-14T20:56:17.5794610Z         >>>     def forward(self, X):
2025-08-14T20:56:17.5794720Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-14T20:56:17.5794760Z         >>>
2025-08-14T20:56:17.5794830Z         >>>     def right_inverse(self, A):
2025-08-14T20:56:17.5794880Z         >>>         return A.triu()
2025-08-14T20:56:17.5794920Z         >>>
2025-08-14T20:56:17.5794980Z         >>> m = nn.Linear(5, 5)
2025-08-14T20:56:17.5795080Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-14T20:56:17.5795300Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-14T20:56:17.5795420Z         True
2025-08-14T20:56:17.5795470Z         >>> A = torch.rand(5, 5)
2025-08-14T20:56:17.5795540Z         >>> A = A + A.T  # A is now symmetric
2025-08-14T20:56:17.5795660Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-14T20:56:17.5795740Z         >>> print(torch.allclose(m.weight, A))
2025-08-14T20:56:17.5795780Z         True
2025-08-14T20:56:17.5795780Z 
2025-08-14T20:56:17.5795840Z         >>> class RankOne(nn.Module):
2025-08-14T20:56:17.5795900Z         >>>     def forward(self, x, y):
2025-08-14T20:56:17.5795990Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-08-14T20:56:17.5796070Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-14T20:56:17.5796110Z         >>>
2025-08-14T20:56:17.5796170Z         >>>     def right_inverse(self, Z):
2025-08-14T20:56:17.5796250Z         >>> # Project Z onto the rank 1 matrices
2025-08-14T20:56:17.5796340Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-14T20:56:17.5796420Z         >>> # Return rescaled singular vectors
2025-08-14T20:56:17.5796490Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-14T20:56:17.5796580Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-14T20:56:17.5796620Z         >>>
2025-08-14T20:56:17.5796710Z         >>> linear_rank_one = P.register_parametrization(
2025-08-14T20:56:17.5796790Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-14T20:56:17.5796830Z         ... )
2025-08-14T20:56:17.5796950Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-14T20:56:17.5796990Z         1
2025-08-14T20:56:17.5797000Z 
2025-08-14T20:56:17.5797040Z     
2025-08-14T20:56:17.5797200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.5797200Z 
2025-08-14T20:56:17.5797650Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-08-14T20:56:17.5797850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.5797980Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-08-14T20:56:17.5797980Z 
2025-08-14T20:56:17.5798140Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-14T20:56:17.5798310Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-14T20:56:17.5798460Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-14T20:56:17.5798640Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-14T20:56:17.5798640Z 
2025-08-14T20:56:17.5798680Z     .. note::
2025-08-14T20:56:17.5798830Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-08-14T20:56:17.5798970Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-08-14T20:56:17.5799100Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-08-14T20:56:17.5799230Z         necessarily benefit from conversion to specified ``memory_format``.
2025-08-14T20:56:17.5799370Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-08-14T20:56:17.5799490Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-08-14T20:56:17.5799620Z         even in cases where we have to apply permutation to input tensors.
2025-08-14T20:56:17.5799620Z 
2025-08-14T20:56:17.5799750Z         Hence our strategy here is to convert only the weight of convolution to
2025-08-14T20:56:17.5799820Z         channels_last. This ensures that;
2025-08-14T20:56:17.5800000Z         1. Fast convolution kernels will be used, the benefit of which could
2025-08-14T20:56:17.5800150Z         outweigh overhead of permutation (if input is not in the same format).
2025-08-14T20:56:17.5800330Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-08-14T20:56:17.5800390Z         from memory_format conversion.
2025-08-14T20:56:17.5800390Z 
2025-08-14T20:56:17.5800520Z         The optimal case is that, layers between convolution layers are channels
2025-08-14T20:56:17.5800660Z         last compatible. Input tensor would be permuted to channels last when it
2025-08-14T20:56:17.5800790Z         encounters the first convolution layer and stay in that memory format.
2025-08-14T20:56:17.5800940Z         Hence following convolutions will not need to permute its input tensor.
2025-08-14T20:56:17.5800940Z 
2025-08-14T20:56:17.5801070Z         In case where a channels last incompatible layer is between convolution
2025-08-14T20:56:17.5801200Z         layers, we need to permute the input tensor back to contiguous format
2025-08-14T20:56:17.5801330Z         for that layer. The input tensor will go through the remaining layers in
2025-08-14T20:56:17.5801470Z         contiguous format and be permuted to channels last when it encounters
2025-08-14T20:56:17.5801600Z         another convolution layer. There's no point in propagating that
2025-08-14T20:56:17.5801730Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-08-14T20:56:17.5801790Z         ``memory_format``.
2025-08-14T20:56:17.5801790Z 
2025-08-14T20:56:17.5801920Z         This claim might change when PyTorch supports fusion of permutation, as
2025-08-14T20:56:17.5802060Z         there might have been a better spot to fuse the permutation other than
2025-08-14T20:56:17.5802120Z         immediately before a convolution.
2025-08-14T20:56:17.5802120Z 
2025-08-14T20:56:17.5802170Z     Args:
2025-08-14T20:56:17.5802300Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-08-14T20:56:17.5802360Z                             ``nn.Module``
2025-08-14T20:56:17.5802490Z         memory_format: user specified ``memory_format``,
2025-08-14T20:56:17.5802600Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-14T20:56:17.5802600Z 
2025-08-14T20:56:17.5802650Z     Returns:
2025-08-14T20:56:17.5802730Z         The original module with updated ``nn.Conv2d``
2025-08-14T20:56:17.5802740Z 
2025-08-14T20:56:17.5802780Z     Example:
2025-08-14T20:56:17.5802860Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:17.5802950Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-14T20:56:17.5803020Z         >>> input = torch.randint(
2025-08-14T20:56:17.5803120Z         ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-08-14T20:56:17.5803160Z         ... )
2025-08-14T20:56:17.5803220Z         >>> model = nn.Sequential(
2025-08-14T20:56:17.5803290Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-08-14T20:56:17.5803350Z         >>> # This is identical to:
2025-08-14T20:56:17.5803500Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-08-14T20:56:17.5803610Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-08-14T20:56:17.5803670Z         ...     model, torch.channels_last
2025-08-14T20:56:17.5803710Z         ... )
2025-08-14T20:56:17.5803760Z         >>> out = model(input)
2025-08-14T20:56:17.5803810Z     
2025-08-14T20:56:17.5803950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6066600Z 
2025-08-14T20:56:17.6067170Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-08-14T20:56:17.6067880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6068240Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-08-14T20:56:17.6068860Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-14T20:56:17.6069310Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-14T20:56:17.6069710Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-14T20:56:17.6070130Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-14T20:56:17.6070380Z 
2025-08-14T20:56:17.6070440Z     .. note::
2025-08-14T20:56:17.6070670Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-08-14T20:56:17.6071030Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-08-14T20:56:17.6071360Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-08-14T20:56:17.6071700Z         necessarily benefit from conversion to specified ``memory_format``.
2025-08-14T20:56:17.6072060Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-08-14T20:56:17.6072420Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-08-14T20:56:17.6072750Z         even in cases where we have to apply permutation to input tensors.
2025-08-14T20:56:17.6072940Z 
2025-08-14T20:56:17.6073080Z         Hence our strategy here is to convert only the weight of convolution to
2025-08-14T20:56:17.6073360Z         channels_last_3d. This ensures that;
2025-08-14T20:56:17.6073630Z         1. Fast convolution kernels will be used, the benefit of which could
2025-08-14T20:56:17.6073970Z         outweigh overhead of permutation (if input is not in the same format).
2025-08-14T20:56:17.6074320Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-08-14T20:56:17.6074590Z         from memory_format conversion.
2025-08-14T20:56:17.6074720Z 
2025-08-14T20:56:17.6074860Z         The optimal case is that, layers between convolution layers are channels
2025-08-14T20:56:17.6075210Z         last compatible. Input tensor would be permuted to channels last when it
2025-08-14T20:56:17.6075600Z         encounters the first convolution layer and stay in that memory format.
2025-08-14T20:56:17.6075950Z         Hence following convolutions will not need to permute its input tensor.
2025-08-14T20:56:17.6076160Z 
2025-08-14T20:56:17.6076300Z         In case where a channels last incompatible layer is between convolution
2025-08-14T20:56:17.6076640Z         layers, we need to permute the input tensor back to contiguous format
2025-08-14T20:56:17.6076980Z         for that layer. The input tensor will go through the remaining layers in
2025-08-14T20:56:17.6077330Z         contiguous format and be permuted to channels last when it encounters
2025-08-14T20:56:17.6077660Z         another convolution layer. There's no point in propagating that
2025-08-14T20:56:17.6077990Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-08-14T20:56:17.6078240Z         ``memory_format``.
2025-08-14T20:56:17.6078350Z 
2025-08-14T20:56:17.6078500Z         This claim might change when PyTorch supports fusion of permutation, as
2025-08-14T20:56:17.6078850Z         there might have been a better spot to fuse the permutation other than
2025-08-14T20:56:17.6079120Z         immediately before a convolution.
2025-08-14T20:56:17.6079260Z 
2025-08-14T20:56:17.6079300Z     Args:
2025-08-14T20:56:17.6079500Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-08-14T20:56:17.6079760Z                             ``nn.Module``
2025-08-14T20:56:17.6079980Z         memory_format: user specified ``memory_format``,
2025-08-14T20:56:17.6080260Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-14T20:56:17.6080440Z 
2025-08-14T20:56:17.6080490Z     Returns:
2025-08-14T20:56:17.6080650Z         The original module with updated ``nn.Conv3d``
2025-08-14T20:56:17.6080810Z 
2025-08-14T20:56:17.6080850Z     Example:
2025-08-14T20:56:17.6081060Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:17.6081310Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-14T20:56:17.6081570Z         >>> input = torch.randint(
2025-08-14T20:56:17.6081780Z         ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-08-14T20:56:17.6081990Z         ... )
2025-08-14T20:56:17.6082130Z         >>> model = nn.Sequential(
2025-08-14T20:56:17.6082310Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-08-14T20:56:17.6082520Z         >>> # This is identical to:
2025-08-14T20:56:17.6082790Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-08-14T20:56:17.6083120Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-08-14T20:56:17.6083350Z         ...     model, torch.channels_last_3d
2025-08-14T20:56:17.6083540Z         ... )
2025-08-14T20:56:17.6083670Z         >>> out = model(input)
2025-08-14T20:56:17.6083830Z     
2025-08-14T20:56:17.6084050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6084270Z 
2025-08-14T20:56:17.6084650Z msg = Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-08-14T20:56:17.6085250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6085660Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-08-14T20:56:17.6085930Z 
2025-08-14T20:56:17.6086070Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-08-14T20:56:17.6086410Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-08-14T20:56:17.6086720Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-08-14T20:56:17.6087020Z     Modifies module in place (and also return the modified module)
2025-08-14T20:56:17.6087240Z     by:
2025-08-14T20:56:17.6087310Z 
2025-08-14T20:56:17.6087440Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:17.6087800Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:17.6088120Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:17.6088440Z        original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:17.6088680Z        ``name+'_orig'``.
2025-08-14T20:56:17.6088780Z 
2025-08-14T20:56:17.6088820Z     Args:
2025-08-14T20:56:17.6089000Z         module (nn.Module): module containing the tensor to prune
2025-08-14T20:56:17.6089290Z         name (str): parameter name within ``module`` on which pruning
2025-08-14T20:56:17.6089510Z                 will act.
2025-08-14T20:56:17.6089720Z         amount (int or float): quantity of parameters to prune.
2025-08-14T20:56:17.6089990Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-14T20:56:17.6090290Z             fraction of parameters to prune. If ``int``, it represents the
2025-08-14T20:56:17.6090560Z             absolute number of parameters to prune.
2025-08-14T20:56:17.6090830Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-08-14T20:56:17.6091110Z             entries for argument ``p`` in :func:`torch.norm`.
2025-08-14T20:56:17.6091390Z         dim (int): index of the dim along which we define channels to prune.
2025-08-14T20:56:17.6091710Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-08-14T20:56:17.6092030Z             shape as module parameter) used to compute mask for pruning.
2025-08-14T20:56:17.6092350Z             The values in this tensor indicate the importance of the corresponding
2025-08-14T20:56:17.6092640Z             elements in the parameter being pruned.
2025-08-14T20:56:17.6092920Z             If unspecified or None, the module parameter will be used in its place.
2025-08-14T20:56:17.6093130Z 
2025-08-14T20:56:17.6093170Z     Returns:
2025-08-14T20:56:17.6093450Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-14T20:56:17.6093690Z 
2025-08-14T20:56:17.6093740Z     Examples:
2025-08-14T20:56:17.6093880Z         >>> from torch.nn.utils import prune
2025-08-14T20:56:17.6094080Z         >>> m = prune.ln_structured(
2025-08-14T20:56:17.6094320Z         ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-08-14T20:56:17.6094540Z         ... )
2025-08-14T20:56:17.6094660Z     
2025-08-14T20:56:17.6094870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6095090Z 
2025-08-14T20:56:17.6095480Z msg = Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-08-14T20:56:17.6096080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6096300Z 
2025-08-14T20:56:17.6096550Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-08-14T20:56:17.6096870Z 
2025-08-14T20:56:17.6096930Z Modifies modules in place by:
2025-08-14T20:56:17.6097050Z 
2025-08-14T20:56:17.6097180Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:17.6097500Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:17.6097820Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:17.6098130Z    original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:17.6098360Z    ``name+'_orig'``.
2025-08-14T20:56:17.6098450Z 
2025-08-14T20:56:17.6098500Z Args:
2025-08-14T20:56:17.6098680Z     parameters (Iterable of (module, name) tuples): parameters of
2025-08-14T20:56:17.6098990Z         the model to prune in a global fashion, i.e. by aggregating all
2025-08-14T20:56:17.6099300Z         weights prior to deciding which ones to prune. module must be of
2025-08-14T20:56:17.6099630Z         type :class:`nn.Module`, and name must be a string.
2025-08-14T20:56:17.6099920Z     pruning_method (function): a valid pruning function from this module,
2025-08-14T20:56:17.6100240Z         or a custom one implemented by the user that satisfies the
2025-08-14T20:56:17.6100540Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-08-14T20:56:17.6100890Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-08-14T20:56:17.6101220Z         the corresponding parameter's importance scores tensor. The tensor
2025-08-14T20:56:17.6101550Z         should be the same shape as the parameter, and is used for computing
2025-08-14T20:56:17.6101800Z         mask for pruning.
2025-08-14T20:56:17.6102030Z         If unspecified or None, the parameter will be used in place of its
2025-08-14T20:56:17.6102270Z         importance scores.
2025-08-14T20:56:17.6102440Z     kwargs: other keyword arguments such as:
2025-08-14T20:56:17.6102710Z         amount (int or float): quantity of parameters to prune across the
2025-08-14T20:56:17.6102950Z         specified parameters.
2025-08-14T20:56:17.6103180Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-14T20:56:17.6103480Z         fraction of parameters to prune. If ``int``, it represents the
2025-08-14T20:56:17.6103740Z         absolute number of parameters to prune.
2025-08-14T20:56:17.6103880Z 
2025-08-14T20:56:17.6103930Z Raises:
2025-08-14T20:56:17.6104080Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-08-14T20:56:17.6104230Z 
2025-08-14T20:56:17.6104270Z Note:
2025-08-14T20:56:17.6104460Z     Since global structured pruning doesn't make much sense unless the
2025-08-14T20:56:17.6104770Z     norm is normalized by the size of the parameter, we now limit the
2025-08-14T20:56:17.6105050Z     scope of global pruning to unstructured methods.
2025-08-14T20:56:17.6105200Z 
2025-08-14T20:56:17.6105250Z Examples:
2025-08-14T20:56:17.6105420Z     >>> from torch.nn.utils import prune
2025-08-14T20:56:17.6105620Z     >>> from collections import OrderedDict
2025-08-14T20:56:17.6105840Z     >>> net = nn.Sequential(
2025-08-14T20:56:17.6106000Z     ...     OrderedDict(
2025-08-14T20:56:17.6106140Z     ...         [
2025-08-14T20:56:17.6106290Z     ...             ("first", nn.Linear(10, 4)),
2025-08-14T20:56:17.6106500Z     ...             ("second", nn.Linear(4, 1)),
2025-08-14T20:56:17.6106670Z     ...         ]
2025-08-14T20:56:17.6106790Z     ...     )
2025-08-14T20:56:17.6106900Z     ... )
2025-08-14T20:56:17.6107020Z     >>> parameters_to_prune = (
2025-08-14T20:56:17.6107190Z     ...     (net.first, "weight"),
2025-08-14T20:56:17.6107370Z     ...     (net.second, "weight"),
2025-08-14T20:56:17.6107530Z     ... )
2025-08-14T20:56:17.6107660Z     >>> prune.global_unstructured(
2025-08-14T20:56:17.6107830Z     ...     parameters_to_prune,
2025-08-14T20:56:17.6108030Z     ...     pruning_method=prune.L1Unstructured,
2025-08-14T20:56:17.6108220Z     ...     amount=10,
2025-08-14T20:56:17.6108350Z     ... )
2025-08-14T20:56:17.6108560Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-08-14T20:56:17.6108800Z     tensor(10)
2025-08-14T20:56:17.6108880Z 
2025-08-14T20:56:17.6108880Z 
2025-08-14T20:56:17.6109040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6428310Z 
2025-08-14T20:56:17.6428980Z msg = Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-08-14T20:56:17.6429620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6430090Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-08-14T20:56:17.6430390Z 
2025-08-14T20:56:17.6430530Z     Modifies module in place (and also return the modified module) by:
2025-08-14T20:56:17.6430730Z 
2025-08-14T20:56:17.6430880Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:17.6431370Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:17.6431710Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:17.6432040Z        original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:17.6432300Z        ``name+'_orig'``.
2025-08-14T20:56:17.6432400Z 
2025-08-14T20:56:17.6432450Z     Args:
2025-08-14T20:56:17.6432630Z         module (nn.Module): module containing the tensor to prune
2025-08-14T20:56:17.6432930Z         name (str): parameter name within ``module`` on which pruning
2025-08-14T20:56:17.6433160Z             will act.
2025-08-14T20:56:17.6433370Z         mask (Tensor): binary mask to be applied to the parameter.
2025-08-14T20:56:17.6433550Z 
2025-08-14T20:56:17.6433600Z     Returns:
2025-08-14T20:56:17.6433820Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-14T20:56:17.6434020Z 
2025-08-14T20:56:17.6434070Z     Examples:
2025-08-14T20:56:17.6434220Z         >>> from torch.nn.utils import prune
2025-08-14T20:56:17.6434430Z         >>> m = prune.custom_from_mask(
2025-08-14T20:56:17.6434670Z         ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-08-14T20:56:17.6440090Z         ... )
2025-08-14T20:56:17.6440230Z         >>> print(m.bias_mask)
2025-08-14T20:56:17.6440390Z         tensor([0., 1., 0.])
2025-08-14T20:56:17.6440510Z 
2025-08-14T20:56:17.6440550Z     
2025-08-14T20:56:17.6440780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6440990Z 
2025-08-14T20:56:17.6441380Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-08-14T20:56:17.6441970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6442400Z Pad a packed batch of variable length sequences.
2025-08-14T20:56:17.6442590Z 
2025-08-14T20:56:17.6442700Z     It is an inverse operation to :func:`pack_padded_sequence`.
2025-08-14T20:56:17.6442870Z 
2025-08-14T20:56:17.6443040Z     The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-08-14T20:56:17.6443420Z     or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-08-14T20:56:17.6443690Z     sequence and ``B`` is the batch size.
2025-08-14T20:56:17.6443820Z 
2025-08-14T20:56:17.6443870Z     Example:
2025-08-14T20:56:17.6444100Z         >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-08-14T20:56:17.6444440Z         >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-08-14T20:56:17.6444640Z         >>> lens = [2, 1, 3]
2025-08-14T20:56:17.6444810Z         >>> packed = pack_padded_sequence(
2025-08-14T20:56:17.6445040Z         ...     seq, lens, batch_first=True, enforce_sorted=False
2025-08-14T20:56:17.6445240Z         ... )
2025-08-14T20:56:17.6445360Z         >>> packed
2025-08-14T20:56:17.6445580Z         PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-08-14T20:56:17.6445920Z                        sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-08-14T20:56:17.6446280Z         >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-08-14T20:56:17.6446540Z         >>> seq_unpacked
2025-08-14T20:56:17.6446690Z         tensor([[1, 2, 0],
2025-08-14T20:56:17.6446840Z                 [3, 0, 0],
2025-08-14T20:56:17.6446980Z                 [4, 5, 6]])
2025-08-14T20:56:17.6447130Z         >>> lens_unpacked
2025-08-14T20:56:17.6447280Z         tensor([2, 1, 3])
2025-08-14T20:56:17.6447370Z 
2025-08-14T20:56:17.6447440Z     .. note::
2025-08-14T20:56:17.6447590Z         :attr:`total_length` is useful to implement the
2025-08-14T20:56:17.6447880Z         ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-08-14T20:56:17.6448260Z         :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-08-14T20:56:17.6448620Z         See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-08-14T20:56:17.6448870Z         details.
2025-08-14T20:56:17.6448950Z 
2025-08-14T20:56:17.6449000Z     Args:
2025-08-14T20:56:17.6449140Z         sequence (PackedSequence): batch to pad
2025-08-14T20:56:17.6449430Z         batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-08-14T20:56:17.6449710Z             format, ``T x B x *`` otherwise.
2025-08-14T20:56:17.6449960Z         padding_value (float, optional): values for padded elements.
2025-08-14T20:56:17.6450280Z         total_length (int, optional): if not ``None``, the output will be padded to
2025-08-14T20:56:17.6450620Z             have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-08-14T20:56:17.6450950Z             if :attr:`total_length` is less than the max sequence length in
2025-08-14T20:56:17.6451180Z             :attr:`sequence`.
2025-08-14T20:56:17.6451300Z 
2025-08-14T20:56:17.6451350Z     Returns:
2025-08-14T20:56:17.6451530Z         Tuple of Tensor containing the padded sequence, and a Tensor
2025-08-14T20:56:17.6451830Z         containing the list of lengths of each sequence in the batch.
2025-08-14T20:56:17.6452150Z         Batch elements will be re-ordered as they were ordered originally when
2025-08-14T20:56:17.6452480Z         the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-08-14T20:56:17.6452720Z     
2025-08-14T20:56:17.6452940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6453150Z 
2025-08-14T20:56:17.6453530Z msg = Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-08-14T20:56:17.6454150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6454400Z 
2025-08-14T20:56:17.6454580Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-08-14T20:56:17.6454830Z 
2025-08-14T20:56:17.6454990Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-08-14T20:56:17.6455350Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-08-14T20:56:17.6455550Z 
2025-08-14T20:56:17.6455740Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-08-14T20:56:17.6456140Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-08-14T20:56:17.6456460Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-08-14T20:56:17.6456630Z 
2025-08-14T20:56:17.6456680Z Shape:
2025-08-14T20:56:17.6456870Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-08-14T20:56:17.6457220Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-08-14T20:56:17.6457570Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-08-14T20:56:17.6457840Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-08-14T20:56:17.6457980Z 
2025-08-14T20:56:17.6458020Z Args:
2025-08-14T20:56:17.6458170Z     dim (Union[int, str]): Dimension to be unflattened
2025-08-14T20:56:17.6458540Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-08-14T20:56:17.6458800Z 
2025-08-14T20:56:17.6458850Z Examples:
2025-08-14T20:56:17.6458970Z     >>> input = torch.randn(2, 50)
2025-08-14T20:56:17.6459140Z     >>> # With tuple of ints
2025-08-14T20:56:17.6459310Z     >>> m = nn.Sequential(
2025-08-14T20:56:17.6459460Z     >>>     nn.Linear(50, 50),
2025-08-14T20:56:17.6459620Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-08-14T20:56:17.6459790Z     >>> )
2025-08-14T20:56:17.6459910Z     >>> output = m(input)
2025-08-14T20:56:17.6460080Z     >>> output.size()
2025-08-14T20:56:17.6460220Z     torch.Size([2, 2, 5, 5])
2025-08-14T20:56:17.6460380Z     >>> # With torch.Size
2025-08-14T20:56:17.6460520Z     >>> m = nn.Sequential(
2025-08-14T20:56:17.6460680Z     >>>     nn.Linear(50, 50),
2025-08-14T20:56:17.6460850Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-08-14T20:56:17.6461030Z     >>> )
2025-08-14T20:56:17.6461150Z     >>> output = m(input)
2025-08-14T20:56:17.6461290Z     >>> output.size()
2025-08-14T20:56:17.6461440Z     torch.Size([2, 2, 5, 5])
2025-08-14T20:56:17.6461600Z     >>> # With namedshape (tuple of tuples)
2025-08-14T20:56:17.6461830Z     >>> input = torch.randn(2, 50, names=("N", "features"))
2025-08-14T20:56:17.6462100Z     >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-08-14T20:56:17.6462350Z     >>> output = unflatten(input)
2025-08-14T20:56:17.6462520Z     >>> output.size()
2025-08-14T20:56:17.6462660Z     torch.Size([2, 2, 5, 5])
2025-08-14T20:56:17.6462770Z 
2025-08-14T20:56:17.6462930Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6463140Z 
2025-08-14T20:56:17.6463530Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-08-14T20:56:17.6464120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6464450Z Applies Batch Normalization over a N-Dimensional input.
2025-08-14T20:56:17.6464610Z 
2025-08-14T20:56:17.6464820Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-08-14T20:56:17.6465220Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-08-14T20:56:17.6465570Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-08-14T20:56:17.6465750Z 
2025-08-14T20:56:17.6465850Z     .. math::
2025-08-14T20:56:17.6465930Z 
2025-08-14T20:56:17.6466110Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-08-14T20:56:17.6466310Z 
2025-08-14T20:56:17.6466450Z     The mean and standard-deviation are calculated per-dimension over all
2025-08-14T20:56:17.6466790Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-08-14T20:56:17.6467130Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-08-14T20:56:17.6467450Z     By default, the elements of :math:`\gamma` are sampled from
2025-08-14T20:56:17.6467740Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-08-14T20:56:17.6468080Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-08-14T20:56:17.6468370Z     `torch.var(input, unbiased=False)`.
2025-08-14T20:56:17.6468500Z 
2025-08-14T20:56:17.6468650Z     Also by default, during training this layer keeps running estimates of its
2025-08-14T20:56:17.6468990Z     computed mean and variance, which are then used for normalization during
2025-08-14T20:56:17.6469340Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-08-14T20:56:17.6469600Z     of 0.1.
2025-08-14T20:56:17.6469670Z 
2025-08-14T20:56:17.6469820Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-08-14T20:56:17.6470150Z     keep running estimates, and batch statistics are instead used during
2025-08-14T20:56:17.6470400Z     evaluation time as well.
2025-08-14T20:56:17.6470510Z 
2025-08-14T20:56:17.6470560Z     .. note::
2025-08-14T20:56:17.6470770Z         This :attr:`momentum` argument is different from one used in optimizer
2025-08-14T20:56:17.6471100Z         classes and the conventional notion of momentum. Mathematically, the
2025-08-14T20:56:17.6471380Z         update rule for running statistics here is
2025-08-14T20:56:17.6471690Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-08-14T20:56:17.6472080Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-08-14T20:56:17.6472330Z         new observed value.
2025-08-14T20:56:17.6472430Z 
2025-08-14T20:56:17.6472610Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-08-14T20:56:17.6473000Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-08-14T20:56:17.6473330Z     Normalization or Spatio-temporal Batch Normalization.
2025-08-14T20:56:17.6473500Z 
2025-08-14T20:56:17.6473590Z     Currently :class:`SyncBatchNorm` only supports
2025-08-14T20:56:17.6473910Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-08-14T20:56:17.6474280Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-08-14T20:56:17.6474590Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-08-14T20:56:17.6474830Z     Network with DDP.
2025-08-14T20:56:17.6474940Z 
2025-08-14T20:56:17.6474980Z     Args:
2025-08-14T20:56:17.6475150Z         num_features: :math:`C` from an expected input of size
2025-08-14T20:56:17.6475370Z             :math:`(N, C, +)`
2025-08-14T20:56:17.6475590Z         eps: a value added to the denominator for numerical stability.
2025-08-14T20:56:17.6475820Z             Default: ``1e-5``
2025-08-14T20:56:17.6476050Z         momentum: the value used for the running_mean and running_var
2025-08-14T20:56:17.6476360Z             computation. Can be set to ``None`` for cumulative moving average
2025-08-14T20:56:17.6476620Z             (i.e. simple average). Default: 0.1
2025-08-14T20:56:17.6476880Z         affine: a boolean value that when set to ``True``, this module has
2025-08-14T20:56:17.6477160Z             learnable affine parameters. Default: ``True``
2025-08-14T20:56:17.6477440Z         track_running_stats: a boolean value that when set to ``True``, this
2025-08-14T20:56:17.6477820Z             module tracks the running mean and variance, and when set to ``False``,
2025-08-14T20:56:17.6478190Z             this module does not track such statistics, and initializes statistics
2025-08-14T20:56:17.6478520Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-08-14T20:56:17.6478850Z             When these buffers are ``None``, this module always uses batch statistics.
2025-08-14T20:56:17.6479150Z             in both training and eval modes. Default: ``True``
2025-08-14T20:56:17.6479460Z         process_group: synchronization of stats happen within each process group
2025-08-14T20:56:17.6479800Z             individually. Default behavior is synchronization across the whole
2025-08-14T20:56:17.6480050Z             world
2025-08-14T20:56:17.6480130Z 
2025-08-14T20:56:17.6480170Z     Shape:
2025-08-14T20:56:17.6480300Z         - Input: :math:`(N, C, +)`
2025-08-14T20:56:17.6480500Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-08-14T20:56:17.6480660Z 
2025-08-14T20:56:17.6480700Z     .. note::
2025-08-14T20:56:17.6480920Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-08-14T20:56:17.6481260Z         synchronization is disabled when ``model.eval()`` is set or if
2025-08-14T20:56:17.6481520Z         ``self.training`` is otherwise ``False``.
2025-08-14T20:56:17.6481670Z 
2025-08-14T20:56:17.6481710Z     Examples::
2025-08-14T20:56:17.6481790Z 
2025-08-14T20:56:17.6481840Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:17.6482010Z         >>> # With Learnable Parameters
2025-08-14T20:56:17.6482200Z         >>> m = nn.SyncBatchNorm(100)
2025-08-14T20:56:17.6482390Z         >>> # creating process group (optional)
2025-08-14T20:56:17.6482610Z         >>> # ranks is a list of int identifying rank ids.
2025-08-14T20:56:17.6482820Z         >>> ranks = list(range(8))
2025-08-14T20:56:17.6482990Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-14T20:56:17.6483200Z         >>> # Note: every rank calls into new_group for every
2025-08-14T20:56:17.6483450Z         >>> # process group created, even if that rank is not
2025-08-14T20:56:17.6483710Z         >>> # part of the group.
2025-08-14T20:56:17.6483970Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-14T20:56:17.6484320Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-14T20:56:17.6484570Z         >>> # Without Learnable Parameters
2025-08-14T20:56:17.6484820Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-08-14T20:56:17.6485090Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-08-14T20:56:17.6485280Z         >>> output = m(input)
2025-08-14T20:56:17.6485390Z 
2025-08-14T20:56:17.6485450Z         >>> # network is nn.BatchNorm layer
2025-08-14T20:56:17.6485750Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-08-14T20:56:17.6486080Z         >>> # only single gpu per process is currently supported
2025-08-14T20:56:17.6486390Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-08-14T20:56:17.6486670Z         >>>                         sync_bn_network,
2025-08-14T20:56:17.6486890Z         >>>                         device_ids=[args.local_rank],
2025-08-14T20:56:17.6487120Z         >>>                         output_device=args.local_rank)
2025-08-14T20:56:17.6487310Z     
2025-08-14T20:56:17.6487520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6592680Z 
2025-08-14T20:56:17.6593340Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-08-14T20:56:17.6594070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6594480Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-08-14T20:56:17.6594740Z 
2025-08-14T20:56:17.6594940Z         Args:
2025-08-14T20:56:17.6595180Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-08-14T20:56:17.6595580Z             process_group (optional): process group to scope synchronization,
2025-08-14T20:56:17.6595860Z                 default is the whole world
2025-08-14T20:56:17.6596000Z 
2025-08-14T20:56:17.6596040Z         Returns:
2025-08-14T20:56:17.6596290Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-08-14T20:56:17.6596650Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-08-14T20:56:17.6597000Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-08-14T20:56:17.6597250Z             instead.
2025-08-14T20:56:17.6597340Z 
2025-08-14T20:56:17.6597400Z         Example::
2025-08-14T20:56:17.6597480Z 
2025-08-14T20:56:17.6597560Z             >>> # Network with nn.BatchNorm layer
2025-08-14T20:56:17.6597800Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:17.6598030Z             >>> module = torch.nn.Sequential(
2025-08-14T20:56:17.6598250Z             >>>            torch.nn.Linear(20, 100),
2025-08-14T20:56:17.6598470Z             >>>            torch.nn.BatchNorm1d(100),
2025-08-14T20:56:17.6598660Z             >>>          ).cuda()
2025-08-14T20:56:17.6598850Z             >>> # creating process group (optional)
2025-08-14T20:56:17.6599090Z             >>> # ranks is a list of int identifying rank ids.
2025-08-14T20:56:17.6599310Z             >>> ranks = list(range(8))
2025-08-14T20:56:17.6599500Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-14T20:56:17.6599730Z             >>> # Note: every rank calls into new_group for every
2025-08-14T20:56:17.6599990Z             >>> # process group created, even if that rank is not
2025-08-14T20:56:17.6600210Z             >>> # part of the group.
2025-08-14T20:56:17.6600410Z             >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:17.6600710Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-14T20:56:17.6601100Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-14T20:56:17.6601480Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-08-14T20:56:17.6601740Z 
2025-08-14T20:56:17.6601780Z         
2025-08-14T20:56:17.6602010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6602230Z 
2025-08-14T20:56:17.6602620Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-08-14T20:56:17.6603230Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6603550Z Computes a partial inverse of :class:`MaxPool2d`.
2025-08-14T20:56:17.6603710Z 
2025-08-14T20:56:17.6603870Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-08-14T20:56:17.6604100Z 
2025-08-14T20:56:17.6604250Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-08-14T20:56:17.6604610Z     including the indices of the maximal values and computes a partial inverse
2025-08-14T20:56:17.6604920Z     in which all non-maximal values are set to zero.
2025-08-14T20:56:17.6605070Z 
2025-08-14T20:56:17.6605120Z     Note:
2025-08-14T20:56:17.6605380Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-08-14T20:56:17.6605870Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-08-14T20:56:17.6606160Z 
2025-08-14T20:56:17.6606300Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-08-14T20:56:17.6606630Z               sizes. Hence, the inversion process can get ambiguous.
2025-08-14T20:56:17.6606970Z               To accommodate this, you can provide the needed output size
2025-08-14T20:56:17.6607300Z               as an additional argument :attr:`output_size` in the forward call.
2025-08-14T20:56:17.6607600Z               See the Inputs and Example below.
2025-08-14T20:56:17.6607750Z 
2025-08-14T20:56:17.6607790Z     Args:
2025-08-14T20:56:17.6607980Z         kernel_size (int or tuple): Size of the max pooling window.
2025-08-14T20:56:17.6608260Z         stride (int or tuple): Stride of the max pooling window.
2025-08-14T20:56:17.6608510Z             It is set to :attr:`kernel_size` by default.
2025-08-14T20:56:17.6608770Z         padding (int or tuple): Padding that was added to the input
2025-08-14T20:56:17.6608950Z 
2025-08-14T20:56:17.6608990Z     Inputs:
2025-08-14T20:56:17.6609130Z         - `input`: the input Tensor to invert
2025-08-14T20:56:17.6609390Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-08-14T20:56:17.6609670Z         - `output_size` (optional): the targeted output size
2025-08-14T20:56:17.6609840Z 
2025-08-14T20:56:17.6609880Z     Shape:
2025-08-14T20:56:17.6610070Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-08-14T20:56:17.6610380Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-08-14T20:56:17.6610580Z 
2025-08-14T20:56:17.6610630Z           .. math::
2025-08-14T20:56:17.6610880Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-08-14T20:56:17.6611110Z 
2025-08-14T20:56:17.6611150Z           .. math::
2025-08-14T20:56:17.6611380Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-08-14T20:56:17.6611600Z 
2025-08-14T20:56:17.6611710Z           or as given by :attr:`output_size` in the call operator
2025-08-14T20:56:17.6611870Z 
2025-08-14T20:56:17.6611920Z     Example::
2025-08-14T20:56:17.6612000Z 
2025-08-14T20:56:17.6612100Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-08-14T20:56:17.6612360Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-08-14T20:56:17.6612580Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-08-14T20:56:17.6612800Z                                     [ 5.,  6.,  7.,  8.],
2025-08-14T20:56:17.6613010Z                                     [ 9., 10., 11., 12.],
2025-08-14T20:56:17.6613210Z                                     [13., 14., 15., 16.]]]])
2025-08-14T20:56:17.6613400Z         >>> output, indices = pool(input)
2025-08-14T20:56:17.6613600Z         >>> unpool(output, indices)
2025-08-14T20:56:17.6613780Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-08-14T20:56:17.6613960Z                   [  0.,   6.,   0.,   8.],
2025-08-14T20:56:17.6614140Z                   [  0.,   0.,   0.,   0.],
2025-08-14T20:56:17.6614320Z                   [  0.,  14.,   0.,  16.]]]])
2025-08-14T20:56:17.6614570Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-08-14T20:56:17.6614850Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-08-14T20:56:17.6619140Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-08-14T20:56:17.6619350Z                                     [11., 12., 13., 14., 15.],
2025-08-14T20:56:17.6619560Z                                     [16., 17., 18., 19., 20.]]]])
2025-08-14T20:56:17.6619750Z         >>> output, indices = pool(input)
2025-08-14T20:56:17.6619990Z         >>> # This call will not work without specifying output_size
2025-08-14T20:56:17.6620250Z         >>> unpool(output, indices, output_size=input.size())
2025-08-14T20:56:17.6620470Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-08-14T20:56:17.6620650Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-08-14T20:56:17.6620830Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-08-14T20:56:17.6621010Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-08-14T20:56:17.6621140Z 
2025-08-14T20:56:17.6621140Z 
2025-08-14T20:56:17.6621180Z     
2025-08-14T20:56:17.6621460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.6621720Z 
2025-08-14T20:56:17.6622160Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-08-14T20:56:17.6622800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.6623130Z Creates a criterion that measures the triplet loss given input
2025-08-14T20:56:17.6623440Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-08-14T20:56:17.6623750Z     positive, and negative examples, respectively), and a nonnegative,
2025-08-14T20:56:17.6624090Z     real-valued function ("distance function") used to compute the relationship
2025-08-14T20:56:17.6624450Z     between the anchor and positive example ("positive distance") and the
2025-08-14T20:56:17.6624740Z     anchor and negative example ("negative distance").
2025-08-14T20:56:17.6624900Z 
2025-08-14T20:56:17.6625030Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-08-14T20:56:17.6625270Z     can be described as:
2025-08-14T20:56:17.6625380Z 
2025-08-14T20:56:17.6625420Z     .. math::
2025-08-14T20:56:17.6625580Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-08-14T20:56:17.6625820Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-08-14T20:56:17.6625980Z 
2025-08-14T20:56:17.6626130Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-08-14T20:56:17.6626520Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-08-14T20:56:17.6626910Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-08-14T20:56:17.6627260Z     between the positive and negative distances that is required for the loss to
2025-08-14T20:56:17.6627610Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-08-14T20:56:17.6627930Z     that the distance function can handle.
2025-08-14T20:56:17.6628070Z 
2025-08-14T20:56:17.6628140Z     If :attr:`reduction` is not ``'none'``
2025-08-14T20:56:17.6628330Z     (default ``'mean'``), then:
2025-08-14T20:56:17.6628440Z 
2025-08-14T20:56:17.6628480Z     .. math::
2025-08-14T20:56:17.6628600Z         \ell(x, y) =
2025-08-14T20:56:17.6628740Z         \begin{cases}
2025-08-14T20:56:17.6628950Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-08-14T20:56:17.6629250Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-08-14T20:56:17.6629480Z         \end{cases}
2025-08-14T20:56:17.6629560Z 
2025-08-14T20:56:17.6629700Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-08-14T20:56:17.6630060Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-08-14T20:56:17.6630270Z 
2025-08-14T20:56:17.6630320Z     Args:
2025-08-14T20:56:17.6630550Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-08-14T20:56:17.6630900Z             quantifies the closeness of two tensors. If not specified,
2025-08-14T20:56:17.6631190Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-08-14T20:56:17.6631510Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-08-14T20:56:17.6631900Z             between the positive and negative distances required for the loss to be 0. Larger
2025-08-14T20:56:17.6632290Z             margins penalize cases where the negative examples are not distant enough from the
2025-08-14T20:56:17.6632630Z             anchors, relative to the positives. Default: :math:`1`.
2025-08-14T20:56:17.6632950Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-08-14T20:56:17.6633330Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-08-14T20:56:17.6633730Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-08-14T20:56:17.6634130Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-08-14T20:56:17.6634440Z             the loss computation. Default: ``False``.
2025-08-14T20:56:17.6634750Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-08-14T20:56:17.6635100Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-14T20:56:17.6635400Z             ``'mean'``: the sum of the output will be divided by the number of
2025-08-14T20:56:17.6635720Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-08-14T20:56:17.6635930Z 
2025-08-14T20:56:17.6635930Z 
2025-08-14T20:56:17.6635980Z     Shape:
2025-08-14T20:56:17.6636200Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-08-14T20:56:17.6636480Z           as supported by the distance function.
2025-08-14T20:56:17.6636780Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-08-14T20:56:17.6637050Z           otherwise.
2025-08-14T20:56:17.6637140Z 
2025-08-14T20:56:17.6637180Z     Examples:
2025-08-14T20:56:17.6637260Z 
2025-08-14T20:56:17.6637320Z     >>> # Initialize embeddings
2025-08-14T20:56:17.6637500Z     >>> embedding = nn.Embedding(1000, 128)
2025-08-14T20:56:17.6637700Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:17.6637920Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:17.6637990Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:17.6638060Z     >>> anchor = embedding(anchor_ids)
2025-08-14T20:56:17.6638120Z     >>> positive = embedding(positive_ids)
2025-08-14T20:56:17.6638190Z     >>> negative = embedding(negative_ids)
2025-08-14T20:56:17.6638230Z     >>>
2025-08-14T20:56:17.6638290Z     >>> # Built-in Distance Function
2025-08-14T20:56:17.6638340Z     >>> triplet_loss = \
2025-08-14T20:56:17.6638540Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-08-14T20:56:17.6638640Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:17.6638690Z     >>> output.backward()
2025-08-14T20:56:17.6638730Z     >>>
2025-08-14T20:56:17.6638790Z     >>> # Custom Distance Function
2025-08-14T20:56:17.6638850Z     >>> def l_infinity(x1, x2):
2025-08-14T20:56:17.6638940Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-08-14T20:56:17.6638980Z     >>>
2025-08-14T20:56:17.6639100Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-08-14T20:56:17.6639140Z     >>> triplet_loss = (
2025-08-14T20:56:17.6639310Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-08-14T20:56:17.6639410Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:17.6639460Z     >>> output.backward()
2025-08-14T20:56:17.6639500Z     >>>
2025-08-14T20:56:17.6639570Z     >>> # Custom Distance Function (Lambda)
2025-08-14T20:56:17.6639620Z     >>> triplet_loss = (
2025-08-14T20:56:17.6639700Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-08-14T20:56:17.6639830Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-08-14T20:56:17.6639920Z     >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:17.6639980Z     >>> output.backward()
2025-08-14T20:56:17.6639980Z 
2025-08-14T20:56:17.6640020Z     Reference:
2025-08-14T20:56:17.6640210Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-08-14T20:56:17.6640340Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-08-14T20:56:17.6640380Z     
2025-08-14T20:56:17.6640530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-08-14T20:56:17.7410960Z 
2025-08-14T20:56:17.7411790Z msg = Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-08-14T20:56:17.7412020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7412120Z The Connectionist Temporal Classification loss.
2025-08-14T20:56:17.7412120Z 
2025-08-14T20:56:17.7412350Z     Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-08-14T20:56:17.7412580Z     probability of possible alignments of input to target, producing a loss value which is differentiable
2025-08-14T20:56:17.7412790Z     with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-08-14T20:56:17.7412980Z     limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-08-14T20:56:17.7412980Z 
2025-08-14T20:56:17.7413030Z     Args:
2025-08-14T20:56:17.7413140Z         blank (int, optional): blank label. Default :math:`0`.
2025-08-14T20:56:17.7413300Z         reduction (str, optional): Specifies the reduction to apply to the output:
2025-08-14T20:56:17.7413420Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-14T20:56:17.7413590Z             ``'mean'``: the output losses will be divided by the target lengths and
2025-08-14T20:56:17.7413760Z             then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-08-14T20:56:17.7413810Z             Default: ``'mean'``
2025-08-14T20:56:17.7413880Z         zero_infinity (bool, optional):
2025-08-14T20:56:17.7414010Z             Whether to zero infinite losses and the associated gradients.
2025-08-14T20:56:17.7414070Z             Default: ``False``
2025-08-14T20:56:17.7414190Z             Infinite losses mainly occur when the inputs are too short
2025-08-14T20:56:17.7414250Z             to be aligned to the targets.
2025-08-14T20:56:17.7414260Z 
2025-08-14T20:56:17.7414300Z     Shape:
2025-08-14T20:56:17.7414430Z         - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-08-14T20:56:17.7414580Z           where :math:`T = \text{input length}`,
2025-08-14T20:56:17.7414650Z           :math:`N = \text{batch size}`, and
2025-08-14T20:56:17.7414760Z           :math:`C = \text{number of classes (including blank)}`.
2025-08-14T20:56:17.7414910Z           The logarithmized probabilities of the outputs (e.g. obtained with
2025-08-14T20:56:17.7415000Z           :func:`torch.nn.functional.log_softmax`).
2025-08-14T20:56:17.7415080Z         - Targets: Tensor of size :math:`(N, S)` or
2025-08-14T20:56:17.7415180Z           :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-08-14T20:56:17.7415260Z           where :math:`N = \text{batch size}` and
2025-08-14T20:56:17.7415370Z           :math:`S = \text{max target length, if shape is } (N, S)`.
2025-08-14T20:56:17.7415490Z           It represents the target sequences. Each element in the target
2025-08-14T20:56:17.7415650Z           sequence is a class index. And the target index cannot be blank (default=0).
2025-08-14T20:56:17.7415760Z           In the :math:`(N, S)` form, targets are padded to the
2025-08-14T20:56:17.7415850Z           length of the longest sequence, and stacked.
2025-08-14T20:56:17.7415980Z           In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-08-14T20:56:17.7416070Z           the targets are assumed to be un-padded and
2025-08-14T20:56:17.7416140Z           concatenated within 1 dimension.
2025-08-14T20:56:17.7416270Z         - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-14T20:56:17.7416410Z           where :math:`N = \text{batch size}`. It represents the lengths of the
2025-08-14T20:56:17.7416540Z           inputs (must each be :math:`\leq T`). And the lengths are specified
2025-08-14T20:56:17.7416690Z           for each sequence to achieve masking under the assumption that sequences
2025-08-14T20:56:17.7416750Z           are padded to equal lengths.
2025-08-14T20:56:17.7416940Z         - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-14T20:56:17.7417100Z           where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-08-14T20:56:17.7417240Z           Lengths are specified for each sequence to achieve masking under the
2025-08-14T20:56:17.7417400Z           assumption that sequences are padded to equal lengths. If target shape is
2025-08-14T20:56:17.7417520Z           :math:`(N,S)`, target_lengths are effectively the stop index
2025-08-14T20:56:17.7417680Z           :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-08-14T20:56:17.7417800Z           each target in a batch. Lengths must each be :math:`\leq S`
2025-08-14T20:56:17.7417960Z           If the targets are given as a 1d tensor that is the concatenation of individual
2025-08-14T20:56:17.7418110Z           targets, the target_lengths must add up to the total length of the tensor.
2025-08-14T20:56:17.7418230Z         - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-08-14T20:56:17.7418390Z           ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-08-14T20:56:17.7418510Z           :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-08-14T20:56:17.7418520Z 
2025-08-14T20:56:17.7418570Z     Examples:
2025-08-14T20:56:17.7418570Z 
2025-08-14T20:56:17.7418640Z         >>> # Target are to be padded
2025-08-14T20:56:17.7418700Z         >>> T = 50  # Input sequence length
2025-08-14T20:56:17.7418790Z         >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:17.7418850Z         >>> N = 16  # Batch size
2025-08-14T20:56:17.7418990Z         >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-08-14T20:56:17.7419110Z         >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-08-14T20:56:17.7419150Z         >>>
2025-08-14T20:56:17.7419280Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-14T20:56:17.7419450Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-14T20:56:17.7419500Z         >>>
2025-08-14T20:56:17.7419630Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:17.7419770Z         >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-08-14T20:56:17.7419820Z         >>>
2025-08-14T20:56:17.7419960Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-14T20:56:17.7420030Z         >>> target_lengths = torch.randint(
2025-08-14T20:56:17.7420090Z         ...     low=S_min,
2025-08-14T20:56:17.7420140Z         ...     high=S,
2025-08-14T20:56:17.7420190Z         ...     size=(N,),
2025-08-14T20:56:17.7420250Z         ...     dtype=torch.long,
2025-08-14T20:56:17.7420310Z         ... )
2025-08-14T20:56:17.7420370Z         >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:17.7420490Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:17.7420550Z         >>> loss.backward()
2025-08-14T20:56:17.7420600Z         >>>
2025-08-14T20:56:17.7420640Z         >>>
2025-08-14T20:56:17.7420720Z         >>> # Target are to be un-padded
2025-08-14T20:56:17.7420780Z         >>> T = 50  # Input sequence length
2025-08-14T20:56:17.7420870Z         >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:17.7420930Z         >>> N = 16  # Batch size
2025-08-14T20:56:17.7420970Z         >>>
2025-08-14T20:56:17.7421100Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-14T20:56:17.7421230Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-14T20:56:17.7421370Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-14T20:56:17.7421410Z         >>>
2025-08-14T20:56:17.7421540Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:17.7421740Z         >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-08-14T20:56:17.7421850Z         >>> target = torch.randint(
2025-08-14T20:56:17.7421900Z         ...     low=1,
2025-08-14T20:56:17.7421960Z         ...     high=C,
2025-08-14T20:56:17.7422030Z         ...     size=(sum(target_lengths),),
2025-08-14T20:56:17.7422090Z         ...     dtype=torch.long,
2025-08-14T20:56:17.7422130Z         ... )
2025-08-14T20:56:17.7422200Z         >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:17.7422320Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:17.7422370Z         >>> loss.backward()
2025-08-14T20:56:17.7422420Z         >>>
2025-08-14T20:56:17.7422460Z         >>>
2025-08-14T20:56:17.7422580Z         >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-08-14T20:56:17.7422650Z         >>> T = 50  # Input sequence length
2025-08-14T20:56:17.7422740Z         >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:17.7422790Z         >>>
2025-08-14T20:56:17.7422910Z         >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-08-14T20:56:17.7423000Z         >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-08-14T20:56:17.7423140Z         >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-08-14T20:56:17.7423230Z         >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-08-14T20:56:17.7423280Z         >>>
2025-08-14T20:56:17.7423400Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:17.7423550Z         >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-08-14T20:56:17.7423610Z         >>> target = torch.randint(
2025-08-14T20:56:17.7423660Z         ...     low=1,
2025-08-14T20:56:17.7423710Z         ...     high=C,
2025-08-14T20:56:17.7423770Z         ...     size=(target_lengths,),
2025-08-14T20:56:17.7423820Z         ...     dtype=torch.long,
2025-08-14T20:56:17.7423870Z         ... )
2025-08-14T20:56:17.7423930Z         >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:17.7424090Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:17.7424150Z         >>> loss.backward()
2025-08-14T20:56:17.7424150Z 
2025-08-14T20:56:17.7424200Z     Reference:
2025-08-14T20:56:17.7424320Z         A. Graves et al.: Connectionist Temporal Classification:
2025-08-14T20:56:17.7424460Z         Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-08-14T20:56:17.7424570Z         https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-08-14T20:56:17.7424570Z 
2025-08-14T20:56:17.7424620Z     Note:
2025-08-14T20:56:17.7424770Z         In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-08-14T20:56:17.7424930Z         in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-08-14T20:56:17.7425080Z         :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-08-14T20:56:17.7425140Z         dtype :attr:`torch.int32`.
2025-08-14T20:56:17.7425150Z 
2025-08-14T20:56:17.7425320Z         The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-08-14T20:56:17.7425330Z 
2025-08-14T20:56:17.7425330Z 
2025-08-14T20:56:17.7425370Z     Note:
2025-08-14T20:56:17.7425520Z         In some circumstances when using the CUDA backend with CuDNN, this operator
2025-08-14T20:56:17.7425680Z         may select a nondeterministic algorithm to increase performance. If this is
2025-08-14T20:56:17.7425840Z         undesirable, you can try to make the operation deterministic (potentially at
2025-08-14T20:56:17.7425990Z         a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-08-14T20:56:17.7426030Z         True``.
2025-08-14T20:56:17.7426160Z         Please see the notes on :doc:`/notes/randomness` for background.
2025-08-14T20:56:17.7426200Z     
2025-08-14T20:56:17.7426370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7426400Z 
2025-08-14T20:56:17.7426830Z msg = Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-08-14T20:56:17.7427020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7427110Z Take in and process masked source/target sequences.
2025-08-14T20:56:17.7427110Z 
2025-08-14T20:56:17.7427170Z         .. note::
2025-08-14T20:56:17.7427170Z 
2025-08-14T20:56:17.7427400Z             If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-08-14T20:56:17.7427490Z             not allowed to participate in the attention,
2025-08-14T20:56:17.7427610Z             which is the opposite of the definition for :attr:`attn_mask`
2025-08-14T20:56:17.7427730Z             in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-08-14T20:56:17.7427730Z 
2025-08-14T20:56:17.7427780Z         Args:
2025-08-14T20:56:17.7427870Z             src: the sequence to the encoder (required).
2025-08-14T20:56:17.7427950Z             tgt: the sequence to the decoder (required).
2025-08-14T20:56:17.7428070Z             src_mask: the additive mask for the src sequence (optional).
2025-08-14T20:56:17.7428180Z             tgt_mask: the additive mask for the tgt sequence (optional).
2025-08-14T20:56:17.7428310Z             memory_mask: the additive mask for the encoder output (optional).
2025-08-14T20:56:17.7428450Z             src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-08-14T20:56:17.7428590Z             tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-08-14T20:56:17.7428740Z             memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-08-14T20:56:17.7428870Z             src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-08-14T20:56:17.7428960Z                 Default: ``None``; try to detect a causal mask.
2025-08-14T20:56:17.7429040Z                 Warning:
2025-08-14T20:56:17.7429150Z                 ``src_is_causal`` provides a hint that ``src_mask`` is
2025-08-14T20:56:17.7429260Z                 the causal mask. Providing incorrect hints can result in
2025-08-14T20:56:17.7429360Z                 incorrect execution, including forward and backward
2025-08-14T20:56:17.7429410Z                 compatibility.
2025-08-14T20:56:17.7429540Z             tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-08-14T20:56:17.7429630Z                 Default: ``None``; try to detect a causal mask.
2025-08-14T20:56:17.7429680Z                 Warning:
2025-08-14T20:56:17.7429780Z                 ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-08-14T20:56:17.7429890Z                 the causal mask. Providing incorrect hints can result in
2025-08-14T20:56:17.7429990Z                 incorrect execution, including forward and backward
2025-08-14T20:56:17.7430050Z                 compatibility.
2025-08-14T20:56:17.7430160Z             memory_is_causal: If specified, applies a causal mask as
2025-08-14T20:56:17.7430220Z                 ``memory_mask``.
2025-08-14T20:56:17.7430280Z                 Default: ``False``.
2025-08-14T20:56:17.7430330Z                 Warning:
2025-08-14T20:56:17.7430410Z                 ``memory_is_causal`` provides a hint that
2025-08-14T20:56:17.7430520Z                 ``memory_mask`` is the causal mask. Providing incorrect
2025-08-14T20:56:17.7430620Z                 hints can result in incorrect execution, including
2025-08-14T20:56:17.7430700Z                 forward and backward compatibility.
2025-08-14T20:56:17.7430700Z 
2025-08-14T20:56:17.7430740Z         Shape:
2025-08-14T20:56:17.7430900Z             - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-08-14T20:56:17.7430970Z               `(N, S, E)` if `batch_first=True`.
2025-08-14T20:56:17.7431380Z             - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-14T20:56:17.7431490Z               `(N, T, E)` if `batch_first=True`.
2025-08-14T20:56:17.7431610Z             - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-08-14T20:56:17.7431730Z             - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-08-14T20:56:17.7431800Z             - memory_mask: :math:`(T, S)`.
2025-08-14T20:56:17.7431950Z             - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-14T20:56:17.7432100Z             - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-08-14T20:56:17.7432260Z             - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-14T20:56:17.7432260Z 
2025-08-14T20:56:17.7432450Z             Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-08-14T20:56:17.7432590Z             positions. If a BoolTensor is provided, positions with ``True``
2025-08-14T20:56:17.7432750Z             are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-08-14T20:56:17.7432860Z             is provided, it will be added to the attention weight.
2025-08-14T20:56:17.7433050Z             [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-08-14T20:56:17.7433180Z             the attention. If a BoolTensor is provided, the positions with the
2025-08-14T20:56:17.7433370Z             value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-08-14T20:56:17.7433380Z 
2025-08-14T20:56:17.7433530Z             - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-14T20:56:17.7433600Z               `(N, T, E)` if `batch_first=True`.
2025-08-14T20:56:17.7433610Z 
2025-08-14T20:56:17.7433760Z             Note: Due to the multi-head attention architecture in the transformer model,
2025-08-14T20:56:17.7433930Z             the output sequence length of a transformer is same as the input sequence
2025-08-14T20:56:17.7434010Z             (i.e. target) length of the decoder.
2025-08-14T20:56:17.7434010Z 
2025-08-14T20:56:17.7434200Z             where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-08-14T20:56:17.7434290Z             batch size, :math:`E` is the feature number
2025-08-14T20:56:17.7434290Z 
2025-08-14T20:56:17.7434340Z         Examples:
2025-08-14T20:56:17.7434400Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:17.7434460Z             >>> output = transformer_model(
2025-08-14T20:56:17.7434550Z             ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-08-14T20:56:17.7434600Z             ... )
2025-08-14T20:56:17.7434640Z         
2025-08-14T20:56:17.7434790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7478050Z 
2025-08-14T20:56:17.7478620Z msg = Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-08-14T20:56:17.7478830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7479020Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-08-14T20:56:17.7479030Z 
2025-08-14T20:56:17.7479230Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-08-14T20:56:17.7479290Z     and with 2D inputs, this class
2025-08-14T20:56:17.7479290Z 
2025-08-14T20:56:17.7479490Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-08-14T20:56:17.7479680Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-08-14T20:56:17.7479990Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-08-14T20:56:17.7480020Z 
2025-08-14T20:56:17.7480240Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-08-14T20:56:17.7480290Z     operations.
2025-08-14T20:56:17.7480300Z 
2025-08-14T20:56:17.7480460Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-08-14T20:56:17.7480610Z     pass. This scales the output of the Embedding before performing a weighted
2025-08-14T20:56:17.7480770Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-08-14T20:56:17.7480910Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-08-14T20:56:17.7480970Z     :attr:`per_sample_weights`.
2025-08-14T20:56:17.7480970Z 
2025-08-14T20:56:17.7481020Z     Args:
2025-08-14T20:56:17.7481140Z         num_embeddings (int): size of the dictionary of embeddings
2025-08-14T20:56:17.7481250Z         embedding_dim (int): the size of each embedding vector
2025-08-14T20:56:17.7481450Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-08-14T20:56:17.7481560Z                                     is renormalized to have norm :attr:`max_norm`.
2025-08-14T20:56:17.7481770Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-08-14T20:56:17.7481980Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-08-14T20:56:17.7482080Z                                                 the words in the mini-batch. Default ``False``.
2025-08-14T20:56:17.7482210Z                                                 Note: this option is not supported when ``mode="max"``.
2025-08-14T20:56:17.7482370Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-08-14T20:56:17.7482510Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-08-14T20:56:17.7482680Z                                  into consideration. ``"mean"`` computes the average of the values
2025-08-14T20:56:17.7482800Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-08-14T20:56:17.7482870Z                                  Default: ``"mean"``
2025-08-14T20:56:17.7483070Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-08-14T20:56:17.7483230Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-08-14T20:56:17.7483320Z                                  supported when ``mode="max"``.
2025-08-14T20:56:17.7483550Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-08-14T20:56:17.7483700Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-08-14T20:56:17.7483910Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-08-14T20:56:17.7484080Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-08-14T20:56:17.7484240Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-08-14T20:56:17.7484400Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-08-14T20:56:17.7484560Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-08-14T20:56:17.7484710Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-08-14T20:56:17.7484780Z                                      reduction.
2025-08-14T20:56:17.7484780Z 
2025-08-14T20:56:17.7484890Z     Attributes:
2025-08-14T20:56:17.7485090Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-08-14T20:56:17.7485230Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-08-14T20:56:17.7485230Z 
2025-08-14T20:56:17.7485290Z     Examples::
2025-08-14T20:56:17.7485290Z 
2025-08-14T20:56:17.7485400Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-08-14T20:56:17.7485500Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-08-14T20:56:17.7485580Z         >>> # a batch of 2 samples of 4 indices each
2025-08-14T20:56:17.7485710Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-08-14T20:56:17.7485800Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-14T20:56:17.7485890Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:17.7485960Z         >>> embedding_sum(input, offsets)
2025-08-14T20:56:17.7486030Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-08-14T20:56:17.7486090Z                 [ 1.1306, -2.5798, -1.0044]])
2025-08-14T20:56:17.7486090Z 
2025-08-14T20:56:17.7486160Z         >>> # Example with padding_idx
2025-08-14T20:56:17.7486290Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-08-14T20:56:17.7486410Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-08-14T20:56:17.7486510Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-14T20:56:17.7486580Z         >>> embedding_sum(input, offsets)
2025-08-14T20:56:17.7486640Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-08-14T20:56:17.7486700Z                 [-0.7082,  3.2145, -2.6251]])
2025-08-14T20:56:17.7486710Z 
2025-08-14T20:56:17.7486820Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-08-14T20:56:17.7486910Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-08-14T20:56:17.7487010Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-08-14T20:56:17.7487110Z                 embedding.weight,
2025-08-14T20:56:17.7487200Z                 padding_idx=embedding.padding_idx,
2025-08-14T20:56:17.7487250Z                 mode='sum')
2025-08-14T20:56:17.7487290Z     
2025-08-14T20:56:17.7487450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7487450Z 
2025-08-14T20:56:17.7487890Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2706.
2025-08-14T20:56:17.7488050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7488050Z 
2025-08-14T20:56:17.7488210Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-08-14T20:56:17.7488210Z 
2025-08-14T20:56:17.7488360Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-08-14T20:56:17.7488490Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-08-14T20:56:17.7488490Z 
2025-08-14T20:56:17.7488530Z Args:
2025-08-14T20:56:17.7488680Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-08-14T20:56:17.7488820Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-08-14T20:56:17.7488950Z         matters and it needs to match with corresponding isend/irecv on the
2025-08-14T20:56:17.7488990Z         remote end.
2025-08-14T20:56:17.7489000Z 
2025-08-14T20:56:17.7489040Z Returns:
2025-08-14T20:56:17.7489180Z     A list of distributed request objects returned by calling the corresponding
2025-08-14T20:56:17.7489240Z     op in the op_list.
2025-08-14T20:56:17.7489240Z 
2025-08-14T20:56:17.7489280Z Examples:
2025-08-14T20:56:17.7489340Z     >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:17.7489460Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-08-14T20:56:17.7489590Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-08-14T20:56:17.7489720Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-08-14T20:56:17.7489810Z     >>> recv_op = dist.P2POp(
2025-08-14T20:56:17.7489930Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-08-14T20:56:17.7489970Z     ... )
2025-08-14T20:56:17.7490050Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-08-14T20:56:17.7490100Z     >>> for req in reqs:
2025-08-14T20:56:17.7490150Z     >>>     req.wait()
2025-08-14T20:56:17.7490200Z     >>> recv_tensor
2025-08-14T20:56:17.7490250Z     tensor([2, 3])     # Rank 0
2025-08-14T20:56:17.7490300Z     tensor([0, 1])     # Rank 1
2025-08-14T20:56:17.7490300Z 
2025-08-14T20:56:17.7490450Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-08-14T20:56:17.7490580Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-08-14T20:56:17.7490640Z     lead to unexpected hang issues.
2025-08-14T20:56:17.7490650Z 
2025-08-14T20:56:17.7490770Z     In addition, if this API is the first collective call in the ``group``
2025-08-14T20:56:17.7490910Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-08-14T20:56:17.7491050Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-08-14T20:56:17.7491180Z     not the first collective call in the ``group``, batched P2P operations
2025-08-14T20:56:17.7491300Z     involving only a subset of ranks of the ``group`` are allowed.
2025-08-14T20:56:17.7491300Z 
2025-08-14T20:56:17.7491450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7491450Z 
2025-08-14T20:56:17.7491850Z msg = Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2838.
2025-08-14T20:56:17.7492010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7492040Z 
2025-08-14T20:56:17.7492210Z Reduces the tensor data across all machines in a way that all get the final result.
2025-08-14T20:56:17.7492220Z 
2025-08-14T20:56:17.7492350Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-08-14T20:56:17.7492360Z 
2025-08-14T20:56:17.7492410Z Complex tensors are supported.
2025-08-14T20:56:17.7492420Z 
2025-08-14T20:56:17.7492460Z Args:
2025-08-14T20:56:17.7492590Z     tensor (Tensor): Input and output of the collective. The function
2025-08-14T20:56:17.7492640Z         operates in-place.
2025-08-14T20:56:17.7492710Z     op (optional): One of the values from
2025-08-14T20:56:17.7492770Z         ``torch.distributed.ReduceOp``
2025-08-14T20:56:17.7492890Z         enum.  Specifies an operation used for element-wise reductions.
2025-08-14T20:56:17.7493030Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:17.7493110Z         the default process group will be used.
2025-08-14T20:56:17.7493230Z     async_op (bool, optional): Whether this op should be an async op
2025-08-14T20:56:17.7493240Z 
2025-08-14T20:56:17.7493280Z Returns:
2025-08-14T20:56:17.7493360Z     Async work handle, if async_op is set to True.
2025-08-14T20:56:17.7493450Z     None, if not async_op or if not part of the group
2025-08-14T20:56:17.7493450Z 
2025-08-14T20:56:17.7493490Z Examples:
2025-08-14T20:56:17.7493550Z     >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:17.7493630Z     >>> # All tensors below are of torch.int64 type.
2025-08-14T20:56:17.7493700Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:17.7493770Z     >>> device = torch.device(f"cuda:{rank}")
2025-08-14T20:56:17.7493910Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-14T20:56:17.7493950Z     >>> tensor
2025-08-14T20:56:17.7494020Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7498290Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7498480Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-14T20:56:17.7498530Z     >>> tensor
2025-08-14T20:56:17.7498620Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7498690Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7498690Z 
2025-08-14T20:56:17.7498770Z     >>> # All tensors below are of torch.cfloat type.
2025-08-14T20:56:17.7498840Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:17.7498900Z     >>> tensor = torch.tensor(
2025-08-14T20:56:17.7498990Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-14T20:56:17.7499040Z     ... ) + 2 * rank * (1 + 1j)
2025-08-14T20:56:17.7499080Z     >>> tensor
2025-08-14T20:56:17.7499170Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7499250Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7499330Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-14T20:56:17.7499370Z     >>> tensor
2025-08-14T20:56:17.7499460Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7499540Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7499540Z 
2025-08-14T20:56:17.7499540Z 
2025-08-14T20:56:17.7499700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7594070Z 
2025-08-14T20:56:17.7594680Z msg = Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3198.
2025-08-14T20:56:17.7594880Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7594890Z 
2025-08-14T20:56:17.7595030Z Gathers picklable objects from the whole group in a single process.
2025-08-14T20:56:17.7595030Z 
2025-08-14T20:56:17.7595170Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-08-14T20:56:17.7595270Z object must be picklable in order to be gathered.
2025-08-14T20:56:17.7595270Z 
2025-08-14T20:56:17.7595320Z Args:
2025-08-14T20:56:17.7595470Z     obj (Any): Input object. Must be picklable.
2025-08-14T20:56:17.7595600Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-08-14T20:56:17.7595720Z         should be correctly sized as the size of the group for this
2025-08-14T20:56:17.7595850Z         collective and will contain the output. Must be ``None`` on non-dst
2025-08-14T20:56:17.7595910Z         ranks. (default is ``None``)
2025-08-14T20:56:17.7596110Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-08-14T20:56:17.7596230Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-08-14T20:56:17.7596380Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:17.7596500Z         the default process group will be used. Default is ``None``.
2025-08-14T20:56:17.7596710Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-08-14T20:56:17.7596710Z 
2025-08-14T20:56:17.7596760Z Returns:
2025-08-14T20:56:17.7596880Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-08-14T20:56:17.7596940Z     output of the collective.
2025-08-14T20:56:17.7596940Z 
2025-08-14T20:56:17.7597080Z .. note:: Note that this API differs slightly from the gather collective
2025-08-14T20:56:17.7597220Z     since it does not provide an async_op handle and thus will be a blocking
2025-08-14T20:56:17.7597260Z     call.
2025-08-14T20:56:17.7597270Z 
2025-08-14T20:56:17.7597410Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-08-14T20:56:17.7597540Z     of objects must be moved to the GPU device before communication takes
2025-08-14T20:56:17.7597630Z     place. In this case, the device used is given by
2025-08-14T20:56:17.7597760Z     ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-08-14T20:56:17.7597950Z     ensure that this is set so that each rank has an individual GPU, via
2025-08-14T20:56:17.7598020Z     ``torch.cuda.set_device()``.
2025-08-14T20:56:17.7598040Z 
2025-08-14T20:56:17.7598100Z .. warning::
2025-08-14T20:56:17.7598240Z     Object collectives have a number of serious performance and scalability
2025-08-14T20:56:17.7598350Z     limitations.  See :ref:`object_collectives` for details.
2025-08-14T20:56:17.7598350Z 
2025-08-14T20:56:17.7598400Z .. warning::
2025-08-14T20:56:17.7598530Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-08-14T20:56:17.7598670Z     known to be insecure. It is possible to construct malicious pickle data
2025-08-14T20:56:17.7598800Z     which will execute arbitrary code during unpickling. Only call this
2025-08-14T20:56:17.7598870Z     function with data you trust.
2025-08-14T20:56:17.7598870Z 
2025-08-14T20:56:17.7598910Z .. warning::
2025-08-14T20:56:17.7599050Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-08-14T20:56:17.7599190Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-08-14T20:56:17.7599300Z     pickled. Please consider using :func:`gather` instead.
2025-08-14T20:56:17.7599300Z 
2025-08-14T20:56:17.7599340Z Example::
2025-08-14T20:56:17.7599430Z     >>> # xdoctest: +SKIP("need process group init")
2025-08-14T20:56:17.7599540Z     >>> # Note: Process group initialization omitted on each rank.
2025-08-14T20:56:17.7599610Z     >>> import torch.distributed as dist
2025-08-14T20:56:17.7599670Z     >>> # Assumes world_size of 3.
2025-08-14T20:56:17.7599790Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-08-14T20:56:17.7599860Z     >>> output = [None for _ in gather_objects]
2025-08-14T20:56:17.7599920Z     >>> dist.gather_object(
2025-08-14T20:56:17.7599990Z     ...     gather_objects[dist.get_rank()],
2025-08-14T20:56:17.7600070Z     ...     output if dist.get_rank() == 0 else None,
2025-08-14T20:56:17.7600120Z     ...     dst=0
2025-08-14T20:56:17.7600160Z     ... )
2025-08-14T20:56:17.7600220Z     >>> # On rank 0
2025-08-14T20:56:17.7600280Z     >>> output
2025-08-14T20:56:17.7600330Z     ['foo', 12, {1: 2}]
2025-08-14T20:56:17.7600340Z 
2025-08-14T20:56:17.7600490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7600490Z 
2025-08-14T20:56:17.7600910Z msg = Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3794.
2025-08-14T20:56:17.7601070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7601070Z 
2025-08-14T20:56:17.7601160Z Gathers tensors from the whole group in a list.
2025-08-14T20:56:17.7601160Z 
2025-08-14T20:56:17.7601240Z Complex and uneven sized tensors are supported.
2025-08-14T20:56:17.7601250Z 
2025-08-14T20:56:17.7601290Z Args:
2025-08-14T20:56:17.7601400Z     tensor_list (list[Tensor]): Output list. It should contain
2025-08-14T20:56:17.7601540Z         correctly-sized tensors to be used for output of the collective.
2025-08-14T20:56:17.7601610Z         Uneven sized tensors are supported.
2025-08-14T20:56:17.7601740Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-08-14T20:56:17.7601870Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:17.7601950Z         the default process group will be used.
2025-08-14T20:56:17.7602080Z     async_op (bool, optional): Whether this op should be an async op
2025-08-14T20:56:17.7602080Z 
2025-08-14T20:56:17.7602120Z Returns:
2025-08-14T20:56:17.7602210Z     Async work handle, if async_op is set to True.
2025-08-14T20:56:17.7602290Z     None, if not async_op or if not part of the group
2025-08-14T20:56:17.7602300Z 
2025-08-14T20:56:17.7602340Z Examples:
2025-08-14T20:56:17.7602420Z     >>> # xdoctest: +SKIP("need process group init")
2025-08-14T20:56:17.7602510Z     >>> # All tensors below are of torch.int64 dtype.
2025-08-14T20:56:17.7602620Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:17.7602690Z     >>> device = torch.device(f"cuda:{rank}")
2025-08-14T20:56:17.7602790Z     >>> tensor_list = [
2025-08-14T20:56:17.7602920Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-08-14T20:56:17.7602970Z     ... ]
2025-08-14T20:56:17.7603020Z     >>> tensor_list
2025-08-14T20:56:17.7603140Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-08-14T20:56:17.7603270Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-08-14T20:56:17.7603410Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-14T20:56:17.7603460Z     >>> tensor
2025-08-14T20:56:17.7603530Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7603590Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7603660Z     >>> dist.all_gather(tensor_list, tensor)
2025-08-14T20:56:17.7603700Z     >>> tensor_list
2025-08-14T20:56:17.7603830Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-08-14T20:56:17.7603950Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-08-14T20:56:17.7603960Z 
2025-08-14T20:56:17.7604050Z     >>> # All tensors below are of torch.cfloat dtype.
2025-08-14T20:56:17.7604110Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:17.7604160Z     >>> tensor_list = [
2025-08-14T20:56:17.7604300Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-08-14T20:56:17.7604340Z     ... ]
2025-08-14T20:56:17.7604390Z     >>> tensor_list
2025-08-14T20:56:17.7604550Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-08-14T20:56:17.7604700Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-08-14T20:56:17.7604760Z     >>> tensor = torch.tensor(
2025-08-14T20:56:17.7604850Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-14T20:56:17.7604940Z     ... ) + 2 * rank * (1 + 1j)
2025-08-14T20:56:17.7604980Z     >>> tensor
2025-08-14T20:56:17.7605070Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-14T20:56:17.7605150Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-14T20:56:17.7605230Z     >>> dist.all_gather(tensor_list, tensor)
2025-08-14T20:56:17.7605270Z     >>> tensor_list
2025-08-14T20:56:17.7605420Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-08-14T20:56:17.7605560Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-08-14T20:56:17.7605570Z 
2025-08-14T20:56:17.7605570Z 
2025-08-14T20:56:17.7605720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7605720Z 
2025-08-14T20:56:17.7606150Z msg = Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4500.
2025-08-14T20:56:17.7606300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7606310Z 
2025-08-14T20:56:17.7606460Z Split input tensor and then scatter the split list to all processes in a group.
2025-08-14T20:56:17.7606470Z 
2025-08-14T20:56:17.7606620Z Later the received tensors are concatenated from all the processes in the group
2025-08-14T20:56:17.7606690Z and returned as a single output tensor.
2025-08-14T20:56:17.7606690Z 
2025-08-14T20:56:17.7606750Z Complex tensors are supported.
2025-08-14T20:56:17.7606750Z 
2025-08-14T20:56:17.7606800Z Args:
2025-08-14T20:56:17.7606900Z     output (Tensor): Gathered concatenated output tensor.
2025-08-14T20:56:17.7606970Z     input (Tensor): Input tensor to scatter.
2025-08-14T20:56:17.7607100Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-08-14T20:56:17.7607270Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-08-14T20:56:17.7607330Z         equally by ``world_size``.
2025-08-14T20:56:17.7607490Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-08-14T20:56:17.7607610Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-08-14T20:56:17.7607680Z         equally by ``world_size``.
2025-08-14T20:56:17.7607810Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:17.7607890Z         the default process group will be used.
2025-08-14T20:56:17.7608010Z     async_op (bool, optional): Whether this op should be an async op.
2025-08-14T20:56:17.7608010Z 
2025-08-14T20:56:17.7608060Z Returns:
2025-08-14T20:56:17.7608140Z     Async work handle, if async_op is set to True.
2025-08-14T20:56:17.7608230Z     None, if not async_op or if not part of the group.
2025-08-14T20:56:17.7608230Z 
2025-08-14T20:56:17.7608280Z .. warning::
2025-08-14T20:56:17.7608380Z     `all_to_all_single` is experimental and subject to change.
2025-08-14T20:56:17.7608390Z 
2025-08-14T20:56:17.7608430Z Examples:
2025-08-14T20:56:17.7608510Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-08-14T20:56:17.7608570Z     >>> input = torch.arange(4) + rank * 4
2025-08-14T20:56:17.7608620Z     >>> input
2025-08-14T20:56:17.7608670Z     tensor([0, 1, 2, 3])     # Rank 0
2025-08-14T20:56:17.7608730Z     tensor([4, 5, 6, 7])     # Rank 1
2025-08-14T20:56:17.7608780Z     tensor([8, 9, 10, 11])   # Rank 2
2025-08-14T20:56:17.7608840Z     tensor([12, 13, 14, 15]) # Rank 3
2025-08-14T20:56:17.7608930Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-08-14T20:56:17.7609000Z     >>> dist.all_to_all_single(output, input)
2025-08-14T20:56:17.7609040Z     >>> output
2025-08-14T20:56:17.7609090Z     tensor([0, 4, 8, 12])    # Rank 0
2025-08-14T20:56:17.7609150Z     tensor([1, 5, 9, 13])    # Rank 1
2025-08-14T20:56:17.7609200Z     tensor([2, 6, 10, 14])   # Rank 2
2025-08-14T20:56:17.7609250Z     tensor([3, 7, 11, 15])   # Rank 3
2025-08-14T20:56:17.7609260Z 
2025-08-14T20:56:17.7609360Z     >>> # Essentially, it is similar to following operation:
2025-08-14T20:56:17.7609470Z     >>> scatter_list = list(input.chunk(world_size))
2025-08-14T20:56:17.7609550Z     >>> gather_list = list(output.chunk(world_size))
2025-08-14T20:56:17.7609610Z     >>> for i in range(world_size):
2025-08-14T20:56:17.7609760Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-08-14T20:56:17.7609760Z 
2025-08-14T20:56:17.7609830Z     >>> # Another example with uneven split
2025-08-14T20:56:17.7609870Z     >>> input
2025-08-14T20:56:17.7609970Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-14T20:56:17.7610070Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-14T20:56:17.7610170Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-14T20:56:17.7610270Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-14T20:56:17.7610320Z     >>> input_splits
2025-08-14T20:56:17.7610410Z     [2, 2, 1, 1]                                                     # Rank 0
2025-08-14T20:56:17.7610490Z     [3, 2, 2, 2]                                                     # Rank 1
2025-08-14T20:56:17.7610570Z     [2, 1, 1, 1]                                                     # Rank 2
2025-08-14T20:56:17.7610650Z     [2, 2, 2, 1]                                                     # Rank 3
2025-08-14T20:56:17.7610700Z     >>> output_splits
2025-08-14T20:56:17.7610780Z     [2, 3, 2, 2]                                                     # Rank 0
2025-08-14T20:56:17.7610860Z     [2, 2, 1, 2]                                                     # Rank 1
2025-08-14T20:56:17.7610930Z     [1, 2, 1, 2]                                                     # Rank 2
2025-08-14T20:56:17.7611020Z     [1, 2, 1, 1]                                                     # Rank 3
2025-08-14T20:56:17.7611070Z     >>> output = ...
2025-08-14T20:56:17.7611270Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-08-14T20:56:17.7611340Z     >>> output
2025-08-14T20:56:17.7611440Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-08-14T20:56:17.7611540Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-08-14T20:56:17.7611640Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-08-14T20:56:17.7611740Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-08-14T20:56:17.7611740Z 
2025-08-14T20:56:17.7611740Z 
2025-08-14T20:56:17.7611840Z     >>> # Another example with tensors of torch.cfloat type.
2025-08-14T20:56:17.7611900Z     >>> input = torch.tensor(
2025-08-14T20:56:17.7611990Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-14T20:56:17.7612040Z     ... ) + 4 * rank * (1 + 1j)
2025-08-14T20:56:17.7612090Z     >>> input
2025-08-14T20:56:17.7612200Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-08-14T20:56:17.7612310Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-08-14T20:56:17.7612430Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-08-14T20:56:17.7612540Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-08-14T20:56:17.7612630Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-08-14T20:56:17.7612700Z     >>> dist.all_to_all_single(output, input)
2025-08-14T20:56:17.7612750Z     >>> output
2025-08-14T20:56:17.7612860Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-08-14T20:56:17.7612970Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-08-14T20:56:17.7613070Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-08-14T20:56:17.7613190Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-08-14T20:56:17.7613190Z 
2025-08-14T20:56:17.7613340Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7843710Z 
2025-08-14T20:56:17.7844410Z msg = Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4642.
2025-08-14T20:56:17.7844590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7844600Z 
2025-08-14T20:56:17.7844840Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-08-14T20:56:17.7844840Z 
2025-08-14T20:56:17.7844910Z Complex tensors are supported.
2025-08-14T20:56:17.7844910Z 
2025-08-14T20:56:17.7844950Z Args:
2025-08-14T20:56:17.7845100Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-08-14T20:56:17.7845140Z         per rank.
2025-08-14T20:56:17.7845300Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-08-14T20:56:17.7845470Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:17.7845560Z         the default process group will be used.
2025-08-14T20:56:17.7845690Z     async_op (bool, optional): Whether this op should be an async op.
2025-08-14T20:56:17.7845690Z 
2025-08-14T20:56:17.7845740Z Returns:
2025-08-14T20:56:17.7845830Z     Async work handle, if async_op is set to True.
2025-08-14T20:56:17.7845920Z     None, if not async_op or if not part of the group.
2025-08-14T20:56:17.7845920Z 
2025-08-14T20:56:17.7845990Z .. warning::
2025-08-14T20:56:17.7846080Z     `all_to_all` is experimental and subject to change.
2025-08-14T20:56:17.7846080Z 
2025-08-14T20:56:17.7846130Z Examples:
2025-08-14T20:56:17.7846200Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-08-14T20:56:17.7846270Z     >>> input = torch.arange(4) + rank * 4
2025-08-14T20:56:17.7846330Z     >>> input = list(input.chunk(4))
2025-08-14T20:56:17.7846380Z     >>> input
2025-08-14T20:56:17.7846700Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-08-14T20:56:17.7846850Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-08-14T20:56:17.7846950Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-08-14T20:56:17.7847060Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-08-14T20:56:17.7847170Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-14T20:56:17.7847240Z     >>> dist.all_to_all(output, input)
2025-08-14T20:56:17.7847290Z     >>> output
2025-08-14T20:56:17.7847390Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-08-14T20:56:17.7847490Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-08-14T20:56:17.7847600Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-08-14T20:56:17.7847700Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-08-14T20:56:17.7847700Z 
2025-08-14T20:56:17.7847850Z     >>> # Essentially, it is similar to following operation:
2025-08-14T20:56:17.7847910Z     >>> scatter_list = input
2025-08-14T20:56:17.7847970Z     >>> gather_list = output
2025-08-14T20:56:17.7848030Z     >>> for i in range(world_size):
2025-08-14T20:56:17.7848170Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-08-14T20:56:17.7848170Z 
2025-08-14T20:56:17.7848220Z     >>> input
2025-08-14T20:56:17.7848330Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-14T20:56:17.7848430Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-14T20:56:17.7848530Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-14T20:56:17.7848630Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-14T20:56:17.7848680Z     >>> input_splits
2025-08-14T20:56:17.7848760Z     [2, 2, 1, 1]                                                     # Rank 0
2025-08-14T20:56:17.7848850Z     [3, 2, 2, 2]                                                     # Rank 1
2025-08-14T20:56:17.7848970Z     [2, 1, 1, 1]                                                     # Rank 2
2025-08-14T20:56:17.7849060Z     [2, 2, 2, 1]                                                     # Rank 3
2025-08-14T20:56:17.7849110Z     >>> output_splits
2025-08-14T20:56:17.7849190Z     [2, 3, 2, 2]                                                     # Rank 0
2025-08-14T20:56:17.7849270Z     [2, 2, 1, 2]                                                     # Rank 1
2025-08-14T20:56:17.7849350Z     [1, 2, 1, 2]                                                     # Rank 2
2025-08-14T20:56:17.7849430Z     [1, 2, 1, 1]                                                     # Rank 3
2025-08-14T20:56:17.7849500Z     >>> input = list(input.split(input_splits))
2025-08-14T20:56:17.7849540Z     >>> input
2025-08-14T20:56:17.7849670Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-08-14T20:56:17.7849790Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-08-14T20:56:17.7849910Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-08-14T20:56:17.7850040Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-08-14T20:56:17.7850080Z     >>> output = ...
2025-08-14T20:56:17.7850150Z     >>> dist.all_to_all(output, input)
2025-08-14T20:56:17.7850190Z     >>> output
2025-08-14T20:56:17.7850310Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-08-14T20:56:17.7850430Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-08-14T20:56:17.7850550Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-08-14T20:56:17.7850670Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-08-14T20:56:17.7850670Z 
2025-08-14T20:56:17.7850820Z     >>> # Another example with tensors of torch.cfloat type.
2025-08-14T20:56:17.7850920Z     >>> input = torch.tensor(
2025-08-14T20:56:17.7851010Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-14T20:56:17.7851070Z     ... ) + 4 * rank * (1 + 1j)
2025-08-14T20:56:17.7851130Z     >>> input = list(input.chunk(4))
2025-08-14T20:56:17.7851170Z     >>> input
2025-08-14T20:56:17.7851300Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-08-14T20:56:17.7851420Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-08-14T20:56:17.7851550Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-08-14T20:56:17.7851680Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-08-14T20:56:17.7851800Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-14T20:56:17.7851860Z     >>> dist.all_to_all(output, input)
2025-08-14T20:56:17.7851910Z     >>> output
2025-08-14T20:56:17.7852040Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-08-14T20:56:17.7852160Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-08-14T20:56:17.7852290Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-08-14T20:56:17.7852410Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-08-14T20:56:17.7852410Z 
2025-08-14T20:56:17.7852420Z 
2025-08-14T20:56:17.7852570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.7852570Z 
2025-08-14T20:56:17.7852930Z msg = Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-08-14T20:56:17.7853090Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.7853130Z 
2025-08-14T20:56:17.7853200Z Module ``torch.distributed.launch``.
2025-08-14T20:56:17.7853200Z 
2025-08-14T20:56:17.7853360Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-08-14T20:56:17.7853440Z training processes on each of the training nodes.
2025-08-14T20:56:17.7853450Z 
2025-08-14T20:56:17.7853550Z .. warning::
2025-08-14T20:56:17.7853550Z 
2025-08-14T20:56:17.7853710Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-08-14T20:56:17.7853710Z 
2025-08-14T20:56:17.7853860Z The utility can be used for single-node distributed training, in which one or
2025-08-14T20:56:17.7854010Z more processes per node will be spawned. The utility can be used for either
2025-08-14T20:56:17.7854150Z CPU training or GPU training. If the utility is used for GPU training,
2025-08-14T20:56:17.7854300Z each distributed process will be operating on a single GPU. This can achieve
2025-08-14T20:56:17.7854450Z well-improved single-node training performance. It can also be used in
2025-08-14T20:56:17.7854610Z multi-node distributed training, by spawning up multiple processes on each node
2025-08-14T20:56:17.7854760Z for well-improved multi-node distributed training performance as well.
2025-08-14T20:56:17.7854900Z This will especially be beneficial for systems with multiple Infiniband
2025-08-14T20:56:17.7855050Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-08-14T20:56:17.7855120Z aggregated communication bandwidth.
2025-08-14T20:56:17.7855120Z 
2025-08-14T20:56:17.7855270Z In both cases of single-node distributed training or multi-node distributed
2025-08-14T20:56:17.7855420Z training, this utility will launch the given number of processes per node
2025-08-14T20:56:17.7855560Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-08-14T20:56:17.7855690Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-08-14T20:56:17.7855860Z and each process will be operating on a single GPU from *GPU 0 to
2025-08-14T20:56:17.7855960Z GPU (nproc_per_node - 1)*.
2025-08-14T20:56:17.7855960Z 
2025-08-14T20:56:17.7856020Z **How to use this module:**
2025-08-14T20:56:17.7856020Z 
2025-08-14T20:56:17.7856110Z 1. Single-Node multi-process distributed training
2025-08-14T20:56:17.7856110Z 
2025-08-14T20:56:17.7856160Z ::
2025-08-14T20:56:17.7856160Z 
2025-08-14T20:56:17.7856310Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:17.7856430Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-08-14T20:56:17.7856500Z                arguments of your training script)
2025-08-14T20:56:17.7856510Z 
2025-08-14T20:56:17.7856640Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-08-14T20:56:17.7856640Z 
2025-08-14T20:56:17.7856640Z 
2025-08-14T20:56:17.7856730Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-08-14T20:56:17.7856740Z 
2025-08-14T20:56:17.7856790Z ::
2025-08-14T20:56:17.7856790Z 
2025-08-14T20:56:17.7856930Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:17.7857040Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-08-14T20:56:17.7857170Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-14T20:56:17.7857270Z                and all other arguments of your training script)
2025-08-14T20:56:17.7857280Z 
2025-08-14T20:56:17.7857320Z Node 2:
2025-08-14T20:56:17.7857320Z 
2025-08-14T20:56:17.7857370Z ::
2025-08-14T20:56:17.7857370Z 
2025-08-14T20:56:17.7857510Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:17.7857610Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-08-14T20:56:17.7857740Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-14T20:56:17.7857830Z                and all other arguments of your training script)
2025-08-14T20:56:17.7857840Z 
2025-08-14T20:56:17.7857970Z 3. To look up what optional arguments this module offers:
2025-08-14T20:56:17.7857970Z 
2025-08-14T20:56:17.7858020Z ::
2025-08-14T20:56:17.7858020Z 
2025-08-14T20:56:17.7858100Z     python -m torch.distributed.launch --help
2025-08-14T20:56:17.7858100Z 
2025-08-14T20:56:17.7858100Z 
2025-08-14T20:56:17.7858160Z **Important Notices:**
2025-08-14T20:56:17.7858160Z 
2025-08-14T20:56:17.7858270Z 1. This utility and multi-process distributed (single-node or
2025-08-14T20:56:17.7858430Z multi-node) GPU training currently only achieves the best performance using
2025-08-14T20:56:17.7858580Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-08-14T20:56:17.7858640Z use for GPU training.
2025-08-14T20:56:17.7858640Z 
2025-08-14T20:56:17.7858770Z 2. In your training program, you must parse the command-line argument:
2025-08-14T20:56:17.7858920Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-08-14T20:56:17.7859060Z If your training program uses GPUs, you should ensure that your code only
2025-08-14T20:56:17.7859190Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-08-14T20:56:17.7859190Z 
2025-08-14T20:56:17.7859250Z Parsing the local_rank argument
2025-08-14T20:56:17.7859250Z 
2025-08-14T20:56:17.7859300Z ::
2025-08-14T20:56:17.7859300Z 
2025-08-14T20:56:17.7859350Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:17.7859400Z     >>> import argparse
2025-08-14T20:56:17.7859480Z     >>> parser = argparse.ArgumentParser()
2025-08-14T20:56:17.7859600Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-08-14T20:56:17.7859660Z     >>> args = parser.parse_args()
2025-08-14T20:56:17.7859670Z 
2025-08-14T20:56:17.7859740Z Set your device to local rank using either
2025-08-14T20:56:17.7859740Z 
2025-08-14T20:56:17.7859790Z ::
2025-08-14T20:56:17.7859790Z 
2025-08-14T20:56:17.7859920Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-08-14T20:56:17.7859920Z 
2025-08-14T20:56:17.7860040Z or
2025-08-14T20:56:17.7860040Z 
2025-08-14T20:56:17.7860110Z ::
2025-08-14T20:56:17.7860110Z 
2025-08-14T20:56:17.7860190Z     >>> with torch.cuda.device(args.local_rank):
2025-08-14T20:56:17.7860250Z     >>>    # your code to run
2025-08-14T20:56:17.7860290Z     >>>    ...
2025-08-14T20:56:17.7860290Z 
2025-08-14T20:56:17.7860350Z .. versionchanged:: 2.0.0
2025-08-14T20:56:17.7860350Z 
2025-08-14T20:56:17.7860500Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-08-14T20:56:17.7860650Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-08-14T20:56:17.7860740Z     previously used underscored ``--local_rank``.
2025-08-14T20:56:17.7860740Z 
2025-08-14T20:56:17.7860880Z     For backward compatibility, it may be necessary for users to handle both
2025-08-14T20:56:17.7861050Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-08-14T20:56:17.7861180Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-08-14T20:56:17.7861330Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-08-14T20:56:17.7861470Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-08-14T20:56:17.7861560Z     including ``"--local-rank"`` should be sufficient.
2025-08-14T20:56:17.7861560Z 
2025-08-14T20:56:17.7861700Z 3. In your training program, you are supposed to call the following function
2025-08-14T20:56:17.7861850Z at the beginning to start the distributed backend. It is strongly recommended
2025-08-14T20:56:17.7861980Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-08-14T20:56:17.7862110Z but ``env://`` is the one that is officially supported by this module.
2025-08-14T20:56:17.7862110Z 
2025-08-14T20:56:17.7862150Z ::
2025-08-14T20:56:17.7862150Z 
2025-08-14T20:56:17.7862280Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-08-14T20:56:17.7862370Z     >>>                                      init_method='env://')
2025-08-14T20:56:17.7862400Z 
2025-08-14T20:56:17.7862540Z 4. In your training program, you can either use regular distributed functions
2025-08-14T20:56:17.7862690Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-08-14T20:56:17.7862820Z training program uses GPUs for training and you would like to use
2025-08-14T20:56:17.7862930Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-08-14T20:56:17.7862990Z here is how to configure it.
2025-08-14T20:56:17.7862990Z 
2025-08-14T20:56:17.7863030Z ::
2025-08-14T20:56:17.7863030Z 
2025-08-14T20:56:17.7863150Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-08-14T20:56:17.7863240Z     >>>                                                   device_ids=[args.local_rank],
2025-08-14T20:56:17.7863330Z     >>>                                                   output_device=args.local_rank)
2025-08-14T20:56:17.7863340Z 
2025-08-14T20:56:17.7863480Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-08-14T20:56:17.7863620Z that your code will be operating on. This is generally the local rank of the
2025-08-14T20:56:17.7863770Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-08-14T20:56:17.7863910Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-08-14T20:56:17.7863960Z utility
2025-08-14T20:56:17.7863960Z 
2025-08-14T20:56:17.7864110Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-08-14T20:56:17.7864240Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-08-14T20:56:17.7864370Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-08-14T20:56:17.7864490Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-08-14T20:56:17.7864590Z will not pass ``--local-rank`` when you specify this flag.
2025-08-14T20:56:17.7864590Z 
2025-08-14T20:56:17.7864680Z .. warning::
2025-08-14T20:56:17.7864690Z 
2025-08-14T20:56:17.7864830Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-08-14T20:56:17.7864940Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-08-14T20:56:17.7865010Z     write to a networked filesystem.  See
2025-08-14T20:56:17.7865150Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-08-14T20:56:17.7865240Z     how things can go wrong if you don't do this correctly.
2025-08-14T20:56:17.7865250Z 
2025-08-14T20:56:17.7865250Z 
2025-08-14T20:56:17.7865250Z 
2025-08-14T20:56:17.7865250Z 
2025-08-14T20:56:17.7865410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8037630Z 
2025-08-14T20:56:17.8038250Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=722.
2025-08-14T20:56:17.8038430Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:17.8038440Z 
2025-08-14T20:56:17.8038600Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-14T20:56:17.8038770Z The submesh created consists of the dimensions and the communicators indicated by
2025-08-14T20:56:17.8038820Z ``mesh_dim_names``
2025-08-14T20:56:17.8038820Z 
2025-08-14T20:56:17.8038880Z Args:
2025-08-14T20:56:17.8039020Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-14T20:56:17.8039140Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-08-14T20:56:17.8039190Z Returns:
2025-08-14T20:56:17.8039250Z     A :class:`DeviceMesh` object
2025-08-14T20:56:17.8039250Z 
2025-08-14T20:56:17.8039430Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-14T20:56:17.8039490Z In the first example:
2025-08-14T20:56:17.8039690Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-14T20:56:17.8039950Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-14T20:56:17.8040090Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-14T20:56:17.8040240Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-14T20:56:17.8040380Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-14T20:56:17.8040520Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-14T20:56:17.8040520Z 
2025-08-14T20:56:17.8040580Z In the second example:
2025-08-14T20:56:17.8040750Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-14T20:56:17.8040920Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-14T20:56:17.8041100Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-14T20:56:17.8041270Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-14T20:56:17.8041270Z 
2025-08-14T20:56:17.8041330Z Example::
2025-08-14T20:56:17.8041330Z 
2025-08-14T20:56:17.8041400Z     >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:17.8041520Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-14T20:56:17.8041560Z     >>>
2025-08-14T20:56:17.8041690Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-14T20:56:17.8041780Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-14T20:56:17.8041950Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T20:56:17.8042010Z     >>> tp_mesh = mesh_2d["tp"]
2025-08-14T20:56:17.8042070Z     >>> dp_mesh = mesh_2d["dp"]
2025-08-14T20:56:17.8042120Z     >>>
2025-08-14T20:56:17.8042270Z     >>> # Initialize a 3D mesh.
2025-08-14T20:56:17.8042450Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-14T20:56:17.8042710Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-14T20:56:17.8042780Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-14T20:56:17.8042840Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-14T20:56:17.8042840Z 
2025-08-14T20:56:17.8043240Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-14T20:56:17.8043250Z 
2025-08-14T20:56:17.8043400Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T20:56:17.8043490Z                                                                                  ^
2025-08-14T20:56:17.8043990Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-08-14T20:56:17.8044160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8044160Z 
2025-08-14T20:56:17.8044340Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-08-14T20:56:17.8044500Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-08-14T20:56:17.8044500Z 
2025-08-14T20:56:17.8044600Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-08-14T20:56:17.8044610Z 
2025-08-14T20:56:17.8044650Z .. warning::
2025-08-14T20:56:17.8044760Z     Current implementation only supports loading Tensors.
2025-08-14T20:56:17.8044770Z 
2025-08-14T20:56:17.8044830Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8044890Z >>> sd = {"mode": model}
2025-08-14T20:56:17.8044940Z >>> dcp.load(
2025-08-14T20:56:17.8044980Z >>>    sd,
2025-08-14T20:56:17.8045090Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-14T20:56:17.8045210Z >>>    planner=DynamicMetaLoadPlanner(),
2025-08-14T20:56:17.8045280Z >>>    checkpoint_id="path_to_model.pt"
2025-08-14T20:56:17.8045330Z >>> )
2025-08-14T20:56:17.8045330Z 
2025-08-14T20:56:17.8045490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8045490Z 
2025-08-14T20:56:17.8045970Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-08-14T20:56:17.8046140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8046150Z 
2025-08-14T20:56:17.8046380Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-08-14T20:56:17.8046590Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-08-14T20:56:17.8046660Z metadata file, like Torch Save files.
2025-08-14T20:56:17.8046660Z 
2025-08-14T20:56:17.8046780Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-08-14T20:56:17.8046790Z 
2025-08-14T20:56:17.8046830Z .. warning::
2025-08-14T20:56:17.8046950Z     Current implementation only supports loading Tensors.
2025-08-14T20:56:17.8046950Z 
2025-08-14T20:56:17.8047010Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8047070Z >>> sd = {"mode": model}
2025-08-14T20:56:17.8047120Z >>> dcp.load(
2025-08-14T20:56:17.8047160Z >>>    sd,
2025-08-14T20:56:17.8047260Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-14T20:56:17.8047330Z >>>    planner=DynamicMetaLoadPlanner(),
2025-08-14T20:56:17.8047400Z >>>    checkpoint_id="path_to_model.pt"
2025-08-14T20:56:17.8047440Z >>> )
2025-08-14T20:56:17.8047440Z 
2025-08-14T20:56:17.8047600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8047600Z 
2025-08-14T20:56:17.8048070Z msg = Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-08-14T20:56:17.8048260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8048260Z 
2025-08-14T20:56:17.8048440Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-14T20:56:17.8048440Z 
2025-08-14T20:56:17.8048620Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-14T20:56:17.8048620Z 
2025-08-14T20:56:17.8048790Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T20:56:17.8048860Z will be visible to the whole process.
2025-08-14T20:56:17.8048860Z 
2025-08-14T20:56:17.8049020Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-14T20:56:17.8049030Z 
2025-08-14T20:56:17.8049100Z 1) set_up_planner - called on all ranks.
2025-08-14T20:56:17.8049170Z     Signals the start of a checkpoint save.
2025-08-14T20:56:17.8049170Z 
2025-08-14T20:56:17.8049240Z 2) create_local_plan - called on all ranks.
2025-08-14T20:56:17.8049420Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-14T20:56:17.8049420Z 
2025-08-14T20:56:17.8049530Z 3) create_global_plan - called on the coordinator rank only.
2025-08-14T20:56:17.8049650Z     Takes the SavePlan from all ranks and make any global decision.
2025-08-14T20:56:17.8049660Z 
2025-08-14T20:56:17.8049720Z 4) finish_plan - called on all ranks.
2025-08-14T20:56:17.8049850Z     This gives each rank a chance to adjust to global planning decisions.
2025-08-14T20:56:17.8049850Z 
2025-08-14T20:56:17.8049940Z 5) resolve_data - called multiple times on each rank
2025-08-14T20:56:17.8050070Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-08-14T20:56:17.8050070Z 
2025-08-14T20:56:17.8050250Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-14T20:56:17.8050390Z most changes can be expressed by changes in a single method.
2025-08-14T20:56:17.8050390Z 
2025-08-14T20:56:17.8050460Z There are 3 usual patterns of extension:
2025-08-14T20:56:17.8050460Z 
2025-08-14T20:56:17.8050610Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-14T20:56:17.8050750Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-14T20:56:17.8050750Z 
2025-08-14T20:56:17.8050810Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8050890Z >>> class RenamePlanner(DefaultSavePlanner):
2025-08-14T20:56:17.8050940Z >>>     def set_up_planner(
2025-08-14T20:56:17.8055780Z >>>         self,
2025-08-14T20:56:17.8055840Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T20:56:17.8055920Z >>>         storage_meta: Optional[StorageMeta],
2025-08-14T20:56:17.8055980Z >>>         is_coordinator: bool,
2025-08-14T20:56:17.8056040Z >>>     ) -> None:
2025-08-14T20:56:17.8056100Z >>> # prefix all keys with `foo_``
2025-08-14T20:56:17.8056290Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-14T20:56:17.8056290Z 
2025-08-14T20:56:17.8056480Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-14T20:56:17.8056490Z 
2025-08-14T20:56:17.8056550Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8056620Z >>> class FP16Planner(DefaultSavePlanner):
2025-08-14T20:56:17.8056680Z >>>     def create_local_plan(self):
2025-08-14T20:56:17.8056750Z >>>         plan = super().create_local_plan()
2025-08-14T20:56:17.8056810Z >>>         for p in plan:
2025-08-14T20:56:17.8056880Z >>>             if p.tensor_data is not None:
2025-08-14T20:56:17.8056980Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-14T20:56:17.8057030Z >>>         return plan
2025-08-14T20:56:17.8057320Z >>>
2025-08-14T20:56:17.8057390Z >>>     def resolve_data(self, write_item):
2025-08-14T20:56:17.8057500Z >>>         item = super().resolve_data(write_item)
2025-08-14T20:56:17.8057670Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-14T20:56:17.8057670Z 
2025-08-14T20:56:17.8057890Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-14T20:56:17.8057890Z 
2025-08-14T20:56:17.8057950Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8058020Z >>> from itertools import zip_longest
2025-08-14T20:56:17.8058080Z >>> from dataclasses import replace
2025-08-14T20:56:17.8058180Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-14T20:56:17.8058340Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-14T20:56:17.8058420Z >>> # This sample doesn't handle ShardedTensors
2025-08-14T20:56:17.8058500Z >>>     def create_global_plan(self, all_plans):
2025-08-14T20:56:17.8058600Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-14T20:56:17.8058660Z >>>         items_per_rank = [
2025-08-14T20:56:17.8058740Z >>>             [item for item in items if item is not None]
2025-08-14T20:56:17.8058840Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-14T20:56:17.8058890Z >>>         ]
2025-08-14T20:56:17.8058940Z >>>         all_plans = [
2025-08-14T20:56:17.8059000Z >>>             replace(plan, items=items)
2025-08-14T20:56:17.8059120Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-14T20:56:17.8059160Z >>>         ]
2025-08-14T20:56:17.8059250Z >>>         return super().create_global_plan(all_plans)
2025-08-14T20:56:17.8059250Z 
2025-08-14T20:56:17.8059410Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-14T20:56:17.8059570Z accomplished by having each rank contribute their data items in the local plan and
2025-08-14T20:56:17.8059640Z the global planner aggregate them:
2025-08-14T20:56:17.8059670Z 
2025-08-14T20:56:17.8059740Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8059840Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-14T20:56:17.8059910Z >>>     def create_local_plan(self) -> SavePlan:
2025-08-14T20:56:17.8059980Z >>>         plan = super().create_local_plan()
2025-08-14T20:56:17.8060080Z >>>         return replace(plan, planner_data="per-rank-data")
2025-08-14T20:56:17.8060120Z >>>
2025-08-14T20:56:17.8060300Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-14T20:56:17.8060420Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-14T20:56:17.8060530Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-14T20:56:17.8060630Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-14T20:56:17.8060700Z >>>         return global_plan, metadata
2025-08-14T20:56:17.8060700Z 
2025-08-14T20:56:17.8060850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8203210Z 
2025-08-14T20:56:17.8203790Z msg = Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-08-14T20:56:17.8204000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8204000Z 
2025-08-14T20:56:17.8204190Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-14T20:56:17.8204190Z 
2025-08-14T20:56:17.8204360Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-14T20:56:17.8204360Z 
2025-08-14T20:56:17.8204540Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T20:56:17.8204610Z will be visible to the whole process.
2025-08-14T20:56:17.8204610Z 
2025-08-14T20:56:17.8204900Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-14T20:56:17.8204940Z 
2025-08-14T20:56:17.8205020Z 1) set_up_planner - called on all ranks.
2025-08-14T20:56:17.8205100Z     Signals the start of loading a checkpoint.
2025-08-14T20:56:17.8205100Z 
2025-08-14T20:56:17.8205180Z 2) create_local_plan - called on all ranks.
2025-08-14T20:56:17.8205360Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-14T20:56:17.8205360Z 
2025-08-14T20:56:17.8205480Z 3) create_global_plan - called on the coordinator rank only.
2025-08-14T20:56:17.8205610Z     Takes the LoadPlan from all ranks and make any global decision.
2025-08-14T20:56:17.8205610Z 
2025-08-14T20:56:17.8205700Z 4) load_bytes - called multiple times on each rank
2025-08-14T20:56:17.8205810Z     This is called once per non-tensor value in state_dict.
2025-08-14T20:56:17.8205810Z 
2025-08-14T20:56:17.8205950Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-14T20:56:17.8206070Z     They are called in pair for each Tensor value in state_dict.
2025-08-14T20:56:17.8206080Z 
2025-08-14T20:56:17.8206260Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-14T20:56:17.8206380Z most changes can be expressed by changes in a single method.
2025-08-14T20:56:17.8206390Z 
2025-08-14T20:56:17.8206460Z There are two usual patterns of extension:
2025-08-14T20:56:17.8206460Z 
2025-08-14T20:56:17.8206630Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-14T20:56:17.8206780Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-14T20:56:17.8206930Z to keep a reference to the original state_dict as load happens in place so
2025-08-14T20:56:17.8207000Z we need to be able to perform it in place
2025-08-14T20:56:17.8207000Z 
2025-08-14T20:56:17.8207070Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8207150Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-14T20:56:17.8207240Z >>>     def set_up_planner(
2025-08-14T20:56:17.8207290Z >>>         self,
2025-08-14T20:56:17.8207350Z >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T20:56:17.8207410Z >>>         metadata: Metadata,
2025-08-14T20:56:17.8207470Z >>>         is_coordinator: bool,
2025-08-14T20:56:17.8207520Z >>>     ) -> None:
2025-08-14T20:56:17.8207590Z >>>         self.original_state_dict = state_dict
2025-08-14T20:56:17.8207710Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-14T20:56:17.8207750Z >>>
2025-08-14T20:56:17.8207830Z >>>         if self.flatten_sharded_tensors:
2025-08-14T20:56:17.8207930Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-14T20:56:17.8207980Z >>>
2025-08-14T20:56:17.8208040Z >>>         if self.flatten_state_dict:
2025-08-14T20:56:17.8208150Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-14T20:56:17.8208200Z >>>
2025-08-14T20:56:17.8208260Z >>>         self.state_dict = state_dict
2025-08-14T20:56:17.8208330Z >>>         self.metadata = metadata
2025-08-14T20:56:17.8208410Z >>>         self.is_coordinator = is_coordinator
2025-08-14T20:56:17.8208460Z >>>
2025-08-14T20:56:17.8208530Z >>>     def load_bytes(self, read_item, value):
2025-08-14T20:56:17.8208590Z >>> # Remove the "foo_" prefix
2025-08-14T20:56:17.8208790Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-14T20:56:17.8208800Z 
2025-08-14T20:56:17.8208800Z 
2025-08-14T20:56:17.8208970Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-14T20:56:17.8208970Z 
2025-08-14T20:56:17.8209030Z >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:17.8209120Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-14T20:56:17.8209190Z >>>     def resolve_tensor(self, read_item):
2025-08-14T20:56:17.8209270Z >>>         tensor = super().resolve_tensor(read_item)
2025-08-14T20:56:17.8209410Z >>>         return torch.empty_like(tensor, device="cpu")
2025-08-14T20:56:17.8209490Z >>>
2025-08-14T20:56:17.8209570Z >>>     def commit_tensor(self, read_item, tensor):
2025-08-14T20:56:17.8209670Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-14T20:56:17.8209670Z 
2025-08-14T20:56:17.8209820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8209820Z 
2025-08-14T20:56:17.8210260Z msg = Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-08-14T20:56:17.8210420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8210420Z 
2025-08-14T20:56:17.8210520Z Return the model state_dict and optimizers state_dict.
2025-08-14T20:56:17.8210520Z 
2025-08-14T20:56:17.8210650Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-08-14T20:56:17.8210810Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-08-14T20:56:17.8210970Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-08-14T20:56:17.8211100Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-08-14T20:56:17.8211220Z with a different number of trainers and/or different parallelisms.
2025-08-14T20:56:17.8211380Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-08-14T20:56:17.8211420Z these APIs.
2025-08-14T20:56:17.8211490Z 3.) sanity checking the result state_dict.
2025-08-14T20:56:17.8211490Z 
2025-08-14T20:56:17.8211620Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-08-14T20:56:17.8211770Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-08-14T20:56:17.8211910Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-08-14T20:56:17.8212030Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-08-14T20:56:17.8212200Z ``module.named_buffers()`` when the module is not distributed by any
2025-08-14T20:56:17.8212360Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-08-14T20:56:17.8212500Z a parameter, there will be a conversion from the parameter IDs to the
2025-08-14T20:56:17.8212560Z canonical FQNs when calling this API.
2025-08-14T20:56:17.8212560Z 
2025-08-14T20:56:17.8212700Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-08-14T20:56:17.8212830Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-08-14T20:56:17.8212920Z optimizer parameter IDs to the canonical FQNs.
2025-08-14T20:56:17.8212920Z 
2025-08-14T20:56:17.8212960Z Example:
2025-08-14T20:56:17.8213020Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:17.8213070Z     >>> import torch
2025-08-14T20:56:17.8213210Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:17.8213330Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-14T20:56:17.8213480Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-08-14T20:56:17.8213480Z 
2025-08-14T20:56:17.8213550Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-08-14T20:56:17.8213670Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-14T20:56:17.8213740Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-08-14T20:56:17.8213850Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-14T20:56:17.8213850Z 
2025-08-14T20:56:17.8213850Z 
2025-08-14T20:56:17.8213990Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-08-14T20:56:17.8214100Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-08-14T20:56:17.8214150Z     ...     fsdp_model, fsdp_optim
2025-08-14T20:56:17.8214190Z     ... )
2025-08-14T20:56:17.8214200Z 
2025-08-14T20:56:17.8214360Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-08-14T20:56:17.8214420Z     >>> # the asserts will fail.
2025-08-14T20:56:17.8214530Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-08-14T20:56:17.8214620Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-08-14T20:56:17.8214620Z 
2025-08-14T20:56:17.8214620Z 
2025-08-14T20:56:17.8214660Z Args:
2025-08-14T20:56:17.8214740Z     model (nn.Module): the nn.Module to the model.
2025-08-14T20:56:17.8214850Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-08-14T20:56:17.8214950Z         The optimizers that are used to optimize ``model``.
2025-08-14T20:56:17.8215120Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-08-14T20:56:17.8215180Z         that belong to the submodules.
2025-08-14T20:56:17.8215290Z     options (StateDictOptions): the options to control how
2025-08-14T20:56:17.8215410Z         model state_dict and optimizer state_dict should be returned. See
2025-08-14T20:56:17.8215480Z         `StateDictOptions` for the details.
2025-08-14T20:56:17.8215490Z 
2025-08-14T20:56:17.8215530Z Returns:
2025-08-14T20:56:17.8215650Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-08-14T20:56:17.8215650Z 
2025-08-14T20:56:17.8215790Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-08-14T20:56:17.8215790Z 
2025-08-14T20:56:17.8215940Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8215940Z 
2025-08-14T20:56:17.8216350Z msg = Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-08-14T20:56:17.8216510Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8216510Z 
2025-08-14T20:56:17.8216580Z Save a distributed model in SPMD style.
2025-08-14T20:56:17.8216580Z 
2025-08-14T20:56:17.8216700Z This function is different from ``torch.save()`` as it handles
2025-08-14T20:56:17.8216870Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-08-14T20:56:17.8216880Z 
2025-08-14T20:56:17.8217040Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-14T20:56:17.8217120Z save will call ``state_dict`` before serialization.
2025-08-14T20:56:17.8217120Z 
2025-08-14T20:56:17.8217180Z .. warning::
2025-08-14T20:56:17.8217320Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-08-14T20:56:17.8217380Z     for saved state_dicts.
2025-08-14T20:56:17.8217380Z 
2025-08-14T20:56:17.8217420Z .. warning::
2025-08-14T20:56:17.8217550Z     If using the `process_group` argument, make sure that only its ranks
2025-08-14T20:56:17.8217670Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-08-14T20:56:17.8217670Z 
2025-08-14T20:56:17.8217720Z .. note::
2025-08-14T20:56:17.8217870Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-08-14T20:56:17.8218030Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-08-14T20:56:17.8218090Z     group needs to be passed in.
2025-08-14T20:56:17.8218090Z 
2025-08-14T20:56:17.8218140Z .. note::
2025-08-14T20:56:17.8218300Z     If no process group is available, this function assumes the intention is to save the
2025-08-14T20:56:17.8218360Z      state_dict in the local process.
2025-08-14T20:56:17.8218360Z 
2025-08-14T20:56:17.8218400Z .. note:
2025-08-14T20:56:17.8218480Z     Rank 0 is assumed to be the coordinator rank.
2025-08-14T20:56:17.8218480Z 
2025-08-14T20:56:17.8218480Z 
2025-08-14T20:56:17.8218520Z Args:
2025-08-14T20:56:17.8218610Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-08-14T20:56:17.8218700Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:17.8218820Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:17.8219010Z         depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:17.8219110Z         It can also be a key if the storage is a key-value store.
2025-08-14T20:56:17.8219200Z         (Default: ``None``)
2025-08-14T20:56:17.8219270Z     storage_writer (Optional[StorageWriter]):
2025-08-14T20:56:17.8219400Z         Instance of StorageWriter used to perform writes. If this is not
2025-08-14T20:56:17.8219520Z         specified, DCP will automatically infer the writer based on the
2025-08-14T20:56:17.8219640Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:17.8219700Z         be raised. (Default: ``None``)
2025-08-14T20:56:17.8219760Z     planner (Optional[SavePlanner]):
2025-08-14T20:56:17.8219880Z         Instance of SavePlanner. If this is not specified, the default
2025-08-14T20:56:17.8219960Z         planner will be used. (Default: ``None``)
2025-08-14T20:56:17.8220030Z     process_group (Optional[ProcessGroup]):
2025-08-14T20:56:17.8220140Z         ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:17.8220190Z         (Default: ``None``)
2025-08-14T20:56:17.8220240Z     no_dist (bool):
2025-08-14T20:56:17.8220350Z         If ``True``, this function will assume the intent is to load
2025-08-14T20:56:17.8220420Z         a checkpoint on a single rank/process.
2025-08-14T20:56:17.8220480Z         (Default: ``False``)
2025-08-14T20:56:17.8220630Z     use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-08-14T20:56:17.8220740Z         a checkpoint without using cross-rank synchronization.
2025-08-14T20:56:17.8220790Z         (Default: ``True``)
2025-08-14T20:56:17.8220930Z         This configuration is experimental and should be used with caution.
2025-08-14T20:56:17.8221090Z         It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-14T20:56:17.8221090Z 
2025-08-14T20:56:17.8221140Z Returns:
2025-08-14T20:56:17.8221230Z     Metadata: Metadata object for the saved checkpoint.
2025-08-14T20:56:17.8221240Z 
2025-08-14T20:56:17.8221310Z Example:
2025-08-14T20:56:17.8221370Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:17.8221430Z     >>> my_model = MyModule()
2025-08-14T20:56:17.8221430Z 
2025-08-14T20:56:17.8221490Z     >>> state_dict = {"model": my_model}
2025-08-14T20:56:17.8221490Z 
2025-08-14T20:56:17.8221630Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-14T20:56:17.8221690Z     ...     "/checkpoint/1"
2025-08-14T20:56:17.8221730Z     ... )
2025-08-14T20:56:17.8221800Z     >>> torch.distributed.checkpoint.save(
2025-08-14T20:56:17.8221860Z     >>>     state_dict=state_dict,
2025-08-14T20:56:17.8221930Z     >>>     storage_writer=fs_storage_writer,
2025-08-14T20:56:17.8221970Z     >>> )
2025-08-14T20:56:17.8221970Z 
2025-08-14T20:56:17.8222020Z .. note::
2025-08-14T20:56:17.8222140Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-08-14T20:56:17.8222280Z     For NCCL-based process groups, internal tensor representations of
2025-08-14T20:56:17.8222410Z     objects must be moved to the GPU device before communication takes place.
2025-08-14T20:56:17.8222550Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-14T20:56:17.8222670Z     and it is the user's responsibility to ensure that this is set so that
2025-08-14T20:56:17.8222800Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-14T20:56:17.8222800Z 
2025-08-14T20:56:17.8222950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8420860Z 
2025-08-14T20:56:17.8421440Z msg = Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-08-14T20:56:17.8421640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8421900Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-08-14T20:56:17.8422090Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-08-14T20:56:17.8422120Z 
2025-08-14T20:56:17.8422170Z     .. warning::
2025-08-14T20:56:17.8422280Z         This feature is experimental and subject to change.
2025-08-14T20:56:17.8422370Z         MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-08-14T20:56:17.8422370Z 
2025-08-14T20:56:17.8422410Z     Args:
2025-08-14T20:56:17.8422510Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-08-14T20:56:17.8422610Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:17.8422740Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:17.8422860Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:17.8422970Z             It can also be a key if the storage is a key-value store.
2025-08-14T20:56:17.8423030Z             (Default: ``None``)
2025-08-14T20:56:17.8423110Z         storage_writer (Optional[StorageWriter]):
2025-08-14T20:56:17.8423250Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-08-14T20:56:17.8423400Z             this is not specified, DCP will automatically infer the writer based on the
2025-08-14T20:56:17.8423530Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:17.8423600Z             be raised. (Default: ``None``)
2025-08-14T20:56:17.8423670Z         planner (Optional[SavePlanner]):
2025-08-14T20:56:17.8423790Z             Instance of SavePlanner. If this is not specified, the default
2025-08-14T20:56:17.8423870Z             planner will be used. (Default: ``None``)
2025-08-14T20:56:17.8423950Z         process_group (Optional[ProcessGroup]):
2025-08-14T20:56:17.8424060Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:17.8424120Z             (Default: ``None``)
2025-08-14T20:56:17.8424220Z         async_checkpointer_type (AsyncCheckpointerType):
2025-08-14T20:56:17.8424370Z             whether to do checkpoint in separate thread or process
2025-08-14T20:56:17.8424460Z             (Default: ``AsyncCheckpointerType.THREAD``)
2025-08-14T20:56:17.8424530Z         async_stager (AsyncStager):
2025-08-14T20:56:17.8424690Z             provides staging implementation. If storage_writer implements AsyncStager
2025-08-14T20:56:17.8424820Z             and async_stager is provided, async_stager will be used for staging
2025-08-14T20:56:17.8424870Z         no_dist (bool):
2025-08-14T20:56:17.8424990Z             If ``True``, this function will assume the intent is to save
2025-08-14T20:56:17.8425070Z             a checkpoint on a single rank/process.
2025-08-14T20:56:17.8425130Z             (Default: ``False``)
2025-08-14T20:56:17.8425320Z         use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-08-14T20:56:17.8425460Z             This configuration is experimental and should be used with caution.
2025-08-14T20:56:17.8425630Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-14T20:56:17.8425630Z 
2025-08-14T20:56:17.8425680Z     Returns:
2025-08-14T20:56:17.8425810Z         Future: A future holding the resultant Metadata object from `save`.
2025-08-14T20:56:17.8425810Z 
2025-08-14T20:56:17.8425860Z     Example:
2025-08-14T20:56:17.8425910Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:17.8425970Z         >>> my_model = MyModule()
2025-08-14T20:56:17.8425970Z 
2025-08-14T20:56:17.8426040Z         >>> state_dict = {"model": my_model}
2025-08-14T20:56:17.8426050Z 
2025-08-14T20:56:17.8426190Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-14T20:56:17.8426250Z         ...     "/checkpoint/1"
2025-08-14T20:56:17.8426290Z         ... )
2025-08-14T20:56:17.8426420Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-08-14T20:56:17.8426480Z         >>>     state_dict=state_dict,
2025-08-14T20:56:17.8426630Z         >>>     storage_writer=fs_storage_writer,
2025-08-14T20:56:17.8426720Z         >>> )
2025-08-14T20:56:17.8426770Z         >>>
2025-08-14T20:56:17.8426820Z         >>> # ... do some work ...
2025-08-14T20:56:17.8426870Z         >>>
2025-08-14T20:56:17.8426930Z         >>> checkpoint_future.result()
2025-08-14T20:56:17.8426930Z 
2025-08-14T20:56:17.8426970Z     
2025-08-14T20:56:17.8427130Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8427130Z 
2025-08-14T20:56:17.8427560Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-08-14T20:56:17.8427720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8427720Z 
2025-08-14T20:56:17.8427840Z Load a checkpoint into a distributed state dict in SPMD style.
2025-08-14T20:56:17.8427850Z 
2025-08-14T20:56:17.8427980Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-08-14T20:56:17.8428120Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-08-14T20:56:17.8428260Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-08-14T20:56:17.8428310Z costs).
2025-08-14T20:56:17.8428310Z 
2025-08-14T20:56:17.8428420Z Each rank will try to read the least amount of data necessary
2025-08-14T20:56:17.8428560Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-08-14T20:56:17.8428710Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-08-14T20:56:17.8428710Z 
2025-08-14T20:56:17.8428890Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-14T20:56:17.8429040Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-08-14T20:56:17.8429150Z ``load_state_dict`` once the deserialization is complete.
2025-08-14T20:56:17.8429310Z For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-08-14T20:56:17.8429460Z it in the ``state_dict`` with the deserialized object.
2025-08-14T20:56:17.8429460Z 
2025-08-14T20:56:17.8429510Z .. warning::
2025-08-14T20:56:17.8429620Z     All tensors in ``state_dict`` must be allocated on their
2025-08-14T20:56:17.8429720Z     destination device *prior to* calling this function.
2025-08-14T20:56:17.8429720Z 
2025-08-14T20:56:17.8429860Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-08-14T20:56:17.8429910Z     on state_dict.
2025-08-14T20:56:17.8429910Z 
2025-08-14T20:56:17.8429950Z .. warning::
2025-08-14T20:56:17.8430080Z     Users must call `load_state_dict` on the root module to ensure load
2025-08-14T20:56:17.8430190Z     pos-processing and non-tensor data properly propagates.
2025-08-14T20:56:17.8430190Z 
2025-08-14T20:56:17.8430240Z .. note:
2025-08-14T20:56:17.8430380Z     If no process group is initialized, this function will assume the intent
2025-08-14T20:56:17.8430530Z     is to load a checkpoint into the local process. This can be useful in the
2025-08-14T20:56:17.8430680Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-08-14T20:56:17.8430730Z      or ShardedTensor)
2025-08-14T20:56:17.8430730Z 
2025-08-14T20:56:17.8430780Z .. note:
2025-08-14T20:56:17.8430860Z     Rank 0 is assumed to be the coordinator rank.
2025-08-14T20:56:17.8430860Z 
2025-08-14T20:56:17.8430900Z Args:
2025-08-14T20:56:17.8431040Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-08-14T20:56:17.8431120Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:17.8431260Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:17.8431380Z         depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:17.8431490Z         It can also be a key if the storage is a key-value store.
2025-08-14T20:56:17.8431600Z         (Default: ``None``)
2025-08-14T20:56:17.8431680Z     storage_reader (Optional[StorageReader]):
2025-08-14T20:56:17.8431840Z         Instance of StorageWriter used to perform reads. If this is not
2025-08-14T20:56:17.8431960Z         specified, DCP will automatically infer the reader based on the
2025-08-14T20:56:17.8432080Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:17.8432140Z         be raised. (Default: ``None``)
2025-08-14T20:56:17.8432210Z     planner (Optional[LoadPlanner]):
2025-08-14T20:56:17.8432330Z         Instance of LoadPlanner. If this is not specified, the default
2025-08-14T20:56:17.8432400Z         planner will be used. (Default: ``None``)
2025-08-14T20:56:17.8432470Z     process_group (Optional[ProcessGroup]):
2025-08-14T20:56:17.8432580Z         ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:17.8432630Z         (Default: ``None``)
2025-08-14T20:56:17.8432770Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-08-14T20:56:17.8432920Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-08-14T20:56:17.8432970Z Returns:
2025-08-14T20:56:17.8433010Z     None.
2025-08-14T20:56:17.8433010Z 
2025-08-14T20:56:17.8433050Z Examples
2025-08-14T20:56:17.8433100Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:17.8433160Z     >>> my_model = MyModule()
2025-08-14T20:56:17.8433240Z     >>> optimizer = Adagrad(my_model.parameters())
2025-08-14T20:56:17.8433310Z     >>> model_state_dict = my_model.state_dict()
2025-08-14T20:56:17.8433450Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-08-14T20:56:17.8433500Z     ...     "/checkpoint/1"
2025-08-14T20:56:17.8433550Z     ... )
2025-08-14T20:56:17.8433550Z 
2025-08-14T20:56:17.8433640Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-08-14T20:56:17.8433710Z     >>>     state_dict=model_state_dict,
2025-08-14T20:56:17.8433770Z     >>>     storage_reader=fs_storage_reader,
2025-08-14T20:56:17.8433820Z     >>> )
2025-08-14T20:56:17.8433860Z 
2025-08-14T20:56:17.8433990Z     >>> # module.load_state_dict() function might have customized steps
2025-08-14T20:56:17.8434070Z     >>> # to flush the state_dict, must call it to
2025-08-14T20:56:17.8434130Z     >>> # ensure correct behavior.
2025-08-14T20:56:17.8434210Z     >>> my_model.load_state_dict(model_state_dict)
2025-08-14T20:56:17.8434210Z 
2025-08-14T20:56:17.8434250Z .. note::
2025-08-14T20:56:17.8434380Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-08-14T20:56:17.8434510Z     For NCCL-based process groups, internal tensor representations of
2025-08-14T20:56:17.8434650Z     objects must be moved to the GPU device before communication takes place.
2025-08-14T20:56:17.8434780Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-14T20:56:17.8434910Z     and it is the user's responsibility to ensure that this is set so that each
2025-08-14T20:56:17.8435030Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-14T20:56:17.8435030Z 
2025-08-14T20:56:17.8435180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.8435180Z 
2025-08-14T20:56:17.8435660Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-08-14T20:56:17.8435810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.8435810Z 
2025-08-14T20:56:17.8435930Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-08-14T20:56:17.8435940Z 
2025-08-14T20:56:17.8436040Z This is the current recommended way to checkpoint FSDP.
2025-08-14T20:56:17.8436090Z >>> # xdoctest: +SKIP
2025-08-14T20:56:17.8436170Z >>> import torch.distributed.checkpoint as dist_cp
2025-08-14T20:56:17.8436220Z >>> # Save
2025-08-14T20:56:17.8436360Z >>> model: torch.nn.Model
2025-08-14T20:56:17.8436440Z >>> optim_params = model.parameters()
2025-08-14T20:56:17.8436560Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-08-14T20:56:17.8436600Z >>> # Save
2025-08-14T20:56:17.8436730Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-08-14T20:56:17.8436790Z >>>     state_dict = {
2025-08-14T20:56:17.8436880Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-08-14T20:56:17.8436940Z >>>         "model": model.state_dict()
2025-08-14T20:56:17.8436980Z >>>     }
2025-08-14T20:56:17.8437040Z >>>     dist_cp.save_state_dict(
2025-08-14T20:56:17.8437100Z >>>         state_dict=optim_state,
2025-08-14T20:56:17.8437210Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-08-14T20:56:17.8437280Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-08-14T20:56:17.8437320Z >>>     )
2025-08-14T20:56:17.8437360Z >>>
2025-08-14T20:56:17.8437400Z >>> # Load
2025-08-14T20:56:17.8437550Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-08-14T20:56:17.8437620Z >>>     model_state_dict = model_tp.state_dict()
2025-08-14T20:56:17.8437670Z >>>     checkpoint = {
2025-08-14T20:56:17.8437730Z >>>         "model": model_state_dict
2025-08-14T20:56:17.8437770Z >>>     }
2025-08-14T20:56:17.8437830Z >>>     dist_cp.load_state_dict(
2025-08-14T20:56:17.8437880Z >>>         state_dict=checkpoint,
2025-08-14T20:56:17.8438000Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-08-14T20:56:17.8438070Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-08-14T20:56:17.8438110Z >>>     )
2025-08-14T20:56:17.8438210Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-08-14T20:56:17.8438250Z >>>
2025-08-14T20:56:17.8438360Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-08-14T20:56:17.8438410Z >>>         model_state_dict,
2025-08-14T20:56:17.8438470Z >>>         optimizer_key="optimizer",
2025-08-14T20:56:17.8438580Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-08-14T20:56:17.8438660Z >>>     )
2025-08-14T20:56:17.8438710Z >>>
2025-08-14T20:56:17.8438790Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:17.8438870Z >>>        model, optim, optim_state["optimizer"]
2025-08-14T20:56:17.8438910Z >>>     )
2025-08-14T20:56:17.8438950Z >>>
2025-08-14T20:56:17.8439020Z >>>     optim.load_state_dict(flattened_osd)
2025-08-14T20:56:17.8439020Z 
2025-08-14T20:56:17.8439170Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9793290Z 
2025-08-14T20:56:17.9793920Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-08-14T20:56:17.9794120Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9794130Z 
2025-08-14T20:56:17.9794280Z RemoteModule instance can only be created after RPC initialization.
2025-08-14T20:56:17.9794290Z 
2025-08-14T20:56:17.9794420Z It creates a user-specified module on a specified remote node.
2025-08-14T20:56:17.9794570Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-14T20:56:17.9794630Z executed on the remote node.
2025-08-14T20:56:17.9794770Z It takes care of autograd recording to ensure the backward pass propagates
2025-08-14T20:56:17.9794870Z gradients back to the corresponding remote module.
2025-08-14T20:56:17.9795090Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-08-14T20:56:17.9795220Z without incurring any overheads of copying the actual module,
2025-08-14T20:56:17.9795340Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-08-14T20:56:17.9795400Z pointing to the remote module.
2025-08-14T20:56:17.9795400Z 
2025-08-14T20:56:17.9795530Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-08-14T20:56:17.9795840Z the ``forward`` method of the module returned by the ``module_cls``.
2025-08-14T20:56:17.9795900Z 
2025-08-14T20:56:17.9796090Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-08-14T20:56:17.9796100Z 
2025-08-14T20:56:17.9796250Z Particularly, to create a hybrid model, typically the local modules should be
2025-08-14T20:56:17.9796480Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-08-14T20:56:17.9796540Z Hybrid Example:
2025-08-14T20:56:17.9796600Z         >>> class HybridModel(nn.Module):
2025-08-14T20:56:17.9796670Z         >>>     def __init__(self) -> None:
2025-08-14T20:56:17.9796740Z         >>>         nn.Module.__init__(self)
2025-08-14T20:56:17.9796830Z         >>>         self.remote_embedding = RemoteModule(...)
2025-08-14T20:56:17.9796910Z         >>>         self.local_linear = nn.Linear(...)
2025-08-14T20:56:17.9796910Z 
2025-08-14T20:56:17.9797040Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-14T20:56:17.9797200Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-08-14T20:56:17.9797340Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-08-14T20:56:17.9797420Z ``def forward(input: Tensor) -> Tensor:`` and
2025-08-14T20:56:17.9797520Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-08-14T20:56:17.9797520Z 
2025-08-14T20:56:17.9797580Z .. note::
2025-08-14T20:56:17.9797670Z     If the remote module is placed on a cuda device,
2025-08-14T20:56:17.9797810Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-08-14T20:56:17.9798060Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-08-14T20:56:17.9798060Z 
2025-08-14T20:56:17.9798110Z Args:
2025-08-14T20:56:17.9798300Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:17.9798480Z         The device can be a local device or a remote device specified by one of the following remote
2025-08-14T20:56:17.9798590Z         formats:
2025-08-14T20:56:17.9798590Z 
2025-08-14T20:56:17.9798680Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-14T20:56:17.9798780Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-14T20:56:17.9798780Z 
2025-08-14T20:56:17.9798940Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:17.9799000Z     module_cls (nn.Module): For example,
2025-08-14T20:56:17.9799080Z         >>> class MyModule(nn.Module):
2025-08-14T20:56:17.9799130Z         >>>     def forward(input):
2025-08-14T20:56:17.9799190Z         >>>         return input + 1
2025-08-14T20:56:17.9799230Z         >>>
2025-08-14T20:56:17.9799290Z         >>> module_cls = MyModule
2025-08-14T20:56:17.9799420Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-14T20:56:17.9799540Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-14T20:56:17.9799720Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-14T20:56:17.9799870Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-08-14T20:56:17.9800010Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-08-14T20:56:17.9800160Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-08-14T20:56:17.9800160Z 
2025-08-14T20:56:17.9800210Z Returns:
2025-08-14T20:56:17.9800360Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:17.9800500Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-14T20:56:17.9800670Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:17.9800770Z     on the user-provided module on the remote side.
2025-08-14T20:56:17.9800770Z 
2025-08-14T20:56:17.9800870Z Example::
2025-08-14T20:56:17.9800970Z     Run the following code in two different processes:
2025-08-14T20:56:17.9801010Z 
2025-08-14T20:56:17.9801080Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:17.9801130Z     >>> # On worker 0:
2025-08-14T20:56:17.9801180Z     >>> import torch
2025-08-14T20:56:17.9801260Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9801320Z     >>> from torch import nn, Tensor
2025-08-14T20:56:17.9801460Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:17.9801500Z     >>>
2025-08-14T20:56:17.9801590Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:17.9801660Z     >>> remote_linear_module = RemoteModule(
2025-08-14T20:56:17.9801740Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:17.9801780Z     >>> )
2025-08-14T20:56:17.9801840Z     >>> input = torch.randn(128, 20)
2025-08-14T20:56:17.9801940Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-14T20:56:17.9802000Z     >>> ret = ret_fut.wait()
2025-08-14T20:56:17.9802050Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9802060Z 
2025-08-14T20:56:17.9802100Z     >>> # On worker 1:
2025-08-14T20:56:17.9802150Z     >>> import torch
2025-08-14T20:56:17.9802220Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9802270Z     >>>
2025-08-14T20:56:17.9802350Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:17.9802400Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9802400Z 
2025-08-14T20:56:17.9802560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9802560Z 
2025-08-14T20:56:17.9803050Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-08-14T20:56:17.9803210Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9803220Z 
2025-08-14T20:56:17.9803470Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-08-14T20:56:17.9803470Z 
2025-08-14T20:56:17.9803670Z This alternate initialization method can be particularly useful if we want to create multiple
2025-08-14T20:56:17.9803860Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-08-14T20:56:17.9803860Z 
2025-08-14T20:56:17.9804030Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-08-14T20:56:17.9804140Z which is not supported. The recommended way is as follows:
2025-08-14T20:56:17.9804140Z 
2025-08-14T20:56:17.9804210Z     1. the sender creates a RemoteModule;
2025-08-14T20:56:17.9804300Z     2. the sender sends its ``module_rref`` over RPC;
2025-08-14T20:56:17.9804490Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-08-14T20:56:17.9804490Z 
2025-08-14T20:56:17.9804550Z Example::
2025-08-14T20:56:17.9808500Z     Run the following code in two different processes:
2025-08-14T20:56:17.9808510Z 
2025-08-14T20:56:17.9808590Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:17.9808640Z     >>> # On worker 0:
2025-08-14T20:56:17.9808680Z     >>> import torch
2025-08-14T20:56:17.9808750Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9808810Z     >>> from torch import nn, Tensor
2025-08-14T20:56:17.9808940Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:17.9808990Z     >>>
2025-08-14T20:56:17.9809070Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:17.9809130Z     >>> remote_module = RemoteModule(
2025-08-14T20:56:17.9809200Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:17.9809250Z     >>> )
2025-08-14T20:56:17.9809290Z     >>>
2025-08-14T20:56:17.9809360Z     >>> remote_module1 = rpc.rpc_sync(
2025-08-14T20:56:17.9809410Z     >>>     "worker1/cpu",
2025-08-14T20:56:17.9809540Z     >>>     RemoteModule.init_from_module_rref,
2025-08-14T20:56:17.9809680Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-08-14T20:56:17.9809720Z     >>> )
2025-08-14T20:56:17.9809770Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9809770Z 
2025-08-14T20:56:17.9809820Z     >>> # On worker 1:
2025-08-14T20:56:17.9809860Z     >>> import torch
2025-08-14T20:56:17.9809930Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9809980Z     >>>
2025-08-14T20:56:17.9810060Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:17.9810110Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9810110Z 
2025-08-14T20:56:17.9810150Z Args:
2025-08-14T20:56:17.9810320Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:17.9810490Z         The device can be a local device or a remote device specified by one of the following remote
2025-08-14T20:56:17.9810540Z         formats:
2025-08-14T20:56:17.9810540Z 
2025-08-14T20:56:17.9810630Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-14T20:56:17.9810730Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-14T20:56:17.9810730Z 
2025-08-14T20:56:17.9810880Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:17.9811030Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-08-14T20:56:17.9811090Z         the created remote module.
2025-08-14T20:56:17.9811250Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-14T20:56:17.9811390Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-08-14T20:56:17.9811530Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-08-14T20:56:17.9811660Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-08-14T20:56:17.9811660Z 
2025-08-14T20:56:17.9811710Z Returns:
2025-08-14T20:56:17.9811860Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:17.9812030Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-08-14T20:56:17.9812190Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:17.9812280Z     on the user-provided module on the remote side.
2025-08-14T20:56:17.9812280Z 
2025-08-14T20:56:17.9812430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9812430Z 
2025-08-14T20:56:17.9812860Z msg = Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-08-14T20:56:17.9813010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9813010Z 
2025-08-14T20:56:17.9813150Z     A RemoteModule instance can only be created after RPC initialization.
2025-08-14T20:56:17.9813160Z 
2025-08-14T20:56:17.9813270Z     It creates a user-specified module on a specified remote node.
2025-08-14T20:56:17.9813420Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-14T20:56:17.9813470Z     executed on the remote node.
2025-08-14T20:56:17.9813620Z     It takes care of autograd recording to ensure the backward pass propagates
2025-08-14T20:56:17.9813710Z     gradients back to the corresponding remote module.
2025-08-14T20:56:17.9813710Z 
2025-08-14T20:56:17.9813850Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-08-14T20:56:17.9813970Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-08-14T20:56:17.9814130Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-08-14T20:56:17.9814240Z     and ``forward`` are the same as the ``forward`` method of the module
2025-08-14T20:56:17.9814300Z     returned by the ``module_cls``.
2025-08-14T20:56:17.9814370Z 
2025-08-14T20:56:17.9814490Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-14T20:56:17.9814670Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-08-14T20:56:17.9814800Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-08-14T20:56:17.9814810Z 
2025-08-14T20:56:17.9814880Z     | ``def forward(input: Tensor) -> Tensor:``
2025-08-14T20:56:17.9814980Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-08-14T20:56:17.9814980Z 
2025-08-14T20:56:17.9815020Z Args:
2025-08-14T20:56:17.9815200Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:17.9815400Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-08-14T20:56:17.9815490Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-08-14T20:56:17.9815640Z         In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:17.9815790Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-08-14T20:56:17.9815790Z 
2025-08-14T20:56:17.9815860Z         >>> class MyModule(nn.Module):
2025-08-14T20:56:17.9815920Z         >>>     def forward(input):
2025-08-14T20:56:17.9815970Z         >>>         return input + 1
2025-08-14T20:56:17.9816020Z         >>>
2025-08-14T20:56:17.9816070Z         >>> module_cls = MyModule
2025-08-14T20:56:17.9816070Z 
2025-08-14T20:56:17.9816190Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-14T20:56:17.9816310Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-14T20:56:17.9816310Z 
2025-08-14T20:56:17.9816360Z Returns:
2025-08-14T20:56:17.9816500Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:17.9816640Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-14T20:56:17.9816800Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:17.9816920Z     on the user-provided module on the remote side.
2025-08-14T20:56:17.9816920Z 
2025-08-14T20:56:17.9816970Z Example::
2025-08-14T20:56:17.9817060Z     Run the following code in two different processes:
2025-08-14T20:56:17.9817060Z 
2025-08-14T20:56:17.9817120Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:17.9817170Z     >>> # On worker 0:
2025-08-14T20:56:17.9817220Z     >>> import torch
2025-08-14T20:56:17.9817290Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9817350Z     >>> from torch import nn, Tensor
2025-08-14T20:56:17.9817480Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:17.9817520Z     >>>
2025-08-14T20:56:17.9817600Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:17.9817670Z     >>> remote_linear_module = RemoteModule(
2025-08-14T20:56:17.9817750Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:17.9817790Z     >>> )
2025-08-14T20:56:17.9817850Z     >>> input = torch.randn(128, 20)
2025-08-14T20:56:17.9817950Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-14T20:56:17.9818000Z     >>> ret = ret_fut.wait()
2025-08-14T20:56:17.9818050Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9818060Z 
2025-08-14T20:56:17.9818100Z     >>> # On worker 1:
2025-08-14T20:56:17.9818150Z     >>> import torch
2025-08-14T20:56:17.9818220Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:17.9818260Z     >>>
2025-08-14T20:56:17.9818340Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:17.9818380Z     >>> rpc.shutdown()
2025-08-14T20:56:17.9818390Z 
2025-08-14T20:56:17.9818510Z     Furthermore, a more practical example that is combined with
2025-08-14T20:56:17.9818790Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-08-14T20:56:17.9819030Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-08-14T20:56:17.9819050Z 
2025-08-14T20:56:17.9819200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9975910Z 
2025-08-14T20:56:17.9976690Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-08-14T20:56:17.9976860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9976870Z 
2025-08-14T20:56:17.9977000Z Initialize rendezvous event object and record its operations.
2025-08-14T20:56:17.9977000Z 
2025-08-14T20:56:17.9977050Z Args:
2025-08-14T20:56:17.9977130Z     run_id (str): The run id of the rendezvous.
2025-08-14T20:56:17.9977230Z     message (str): The message describing the event.
2025-08-14T20:56:17.9977410Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-08-14T20:56:17.9977540Z     name (str): Event name. (E.g. Current action being performed).
2025-08-14T20:56:17.9977610Z     hostname (str): Hostname of the node.
2025-08-14T20:56:17.9977710Z     pid (Optional[int]): The process id of the node.
2025-08-14T20:56:17.9977870Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-08-14T20:56:17.9978040Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-08-14T20:56:17.9978150Z     rank (Optional[int]): The rank of the node, if known.
2025-08-14T20:56:17.9978200Z Returns:
2025-08-14T20:56:17.9978250Z     None
2025-08-14T20:56:17.9978290Z Example:
2025-08-14T20:56:17.9978380Z     >>> # See DynamicRendezvousHandler class
2025-08-14T20:56:17.9978420Z     >>> def _record(
2025-08-14T20:56:17.9978470Z     ...     self,
2025-08-14T20:56:17.9978520Z     ...     message: str,
2025-08-14T20:56:17.9978620Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-08-14T20:56:17.9978770Z     ...     rank: Optional[int] = None,
2025-08-14T20:56:17.9978820Z     ... ) -> None:
2025-08-14T20:56:17.9978900Z     ...     construct_and_record_rdzv_event(
2025-08-14T20:56:17.9979000Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-08-14T20:56:17.9979080Z     ...         run_id=self._settings.run_id,
2025-08-14T20:56:17.9979140Z     ...         message=message,
2025-08-14T20:56:17.9979200Z     ...         node_state=node_state,
2025-08-14T20:56:17.9979270Z     ...         hostname=self._this_node.addr,
2025-08-14T20:56:17.9979340Z     ...         pid=self._this_node.pid,
2025-08-14T20:56:17.9979420Z     ...         local_id=self._this_node.local_id,
2025-08-14T20:56:17.9979470Z     ...         rank=rank,
2025-08-14T20:56:17.9979510Z     ...     )
2025-08-14T20:56:17.9979510Z 
2025-08-14T20:56:17.9979680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9979680Z 
2025-08-14T20:56:17.9980170Z msg = Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-08-14T20:56:17.9980330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9980340Z 
2025-08-14T20:56:17.9980490Z Custom reducer class that can be used to specify a custom operation that
2025-08-14T20:56:17.9980590Z reduces losses of multiple microbatches into one value.
2025-08-14T20:56:17.9980590Z 
2025-08-14T20:56:17.9980640Z Example:
2025-08-14T20:56:17.9980690Z >>> # xdoctest: +SKIP
2025-08-14T20:56:17.9980760Z >>> sum_reducer = _CustomReducer(
2025-08-14T20:56:17.9980810Z >>>     torch.tensor(0.0),
2025-08-14T20:56:17.9980860Z >>>     lambda a, b: a + b
2025-08-14T20:56:17.9980910Z >>> )
2025-08-14T20:56:17.9980910Z 
2025-08-14T20:56:17.9981060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9981070Z 
2025-08-14T20:56:17.9981710Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-08-14T20:56:17.9981970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9981970Z 
2025-08-14T20:56:17.9982080Z Averages parameters periodically after the warm-up stage.
2025-08-14T20:56:17.9982080Z 
2025-08-14T20:56:17.9982250Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-14T20:56:17.9982360Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-08-14T20:56:17.9982510Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-08-14T20:56:17.9982510Z 
2025-08-14T20:56:17.9982560Z Args:
2025-08-14T20:56:17.9982650Z     period (int): The number of steps per model averaging.
2025-08-14T20:56:17.9982820Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-08-14T20:56:17.9982910Z                   Otherwise, only DDP needs to be used.
2025-08-14T20:56:17.9983040Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-08-14T20:56:17.9983110Z                         model averaging is skipped.
2025-08-14T20:56:17.9983230Z     process_group: The process group to be used for all-reduce.
2025-08-14T20:56:17.9983320Z                    If ``None``, the default process group, which
2025-08-14T20:56:17.9983450Z                    is created by :func:`torch.distributed.init_process_group`,
2025-08-14T20:56:17.9983520Z                    will be used. (default: ``None``)
2025-08-14T20:56:17.9983530Z 
2025-08-14T20:56:17.9983580Z Example::
2025-08-14T20:56:17.9983580Z 
2025-08-14T20:56:17.9983650Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:17.9983700Z     >>> import torch
2025-08-14T20:56:17.9983770Z     >>> import torch.distributed as dist
2025-08-14T20:56:17.9983960Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-08-14T20:56:17.9984190Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-14T20:56:17.9984250Z     >>> import torch.nn as nn
2025-08-14T20:56:17.9984290Z     >>>
2025-08-14T20:56:17.9984400Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-14T20:56:17.9984460Z     >>> torch.cuda.set_device(rank)
2025-08-14T20:56:17.9984550Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-08-14T20:56:17.9984640Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:17.9984730Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:17.9984770Z     >>> )
2025-08-14T20:56:17.9984860Z     >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:17.9985040Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-14T20:56:17.9985130Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:17.9985180Z     >>>
2025-08-14T20:56:17.9985340Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-14T20:56:17.9985440Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-08-14T20:56:17.9985640Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:17.9985790Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-14T20:56:17.9985850Z     >>> for step in range(0, 200):
2025-08-14T20:56:17.9985910Z     >>>    optimizer.zero_grad()
2025-08-14T20:56:17.9985970Z     >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:17.9986030Z     >>>    loss.backward()
2025-08-14T20:56:17.9986080Z     >>>    optimizer.step()
2025-08-14T20:56:17.9986200Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-08-14T20:56:17.9986390Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-08-14T20:56:17.9986470Z     >>>    # the initial ``warmup_steps`` period.
2025-08-14T20:56:17.9986600Z     >>>    averager.average_parameters(model.parameters())
2025-08-14T20:56:17.9986610Z 
2025-08-14T20:56:17.9986760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:17.9986760Z 
2025-08-14T20:56:17.9987320Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-08-14T20:56:17.9987480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:17.9987480Z 
2025-08-14T20:56:17.9987680Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-08-14T20:56:17.9987690Z 
2025-08-14T20:56:17.9987870Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-08-14T20:56:17.9988000Z by using different periods concurrently after the warm-up stage.
2025-08-14T20:56:17.9988250Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-08-14T20:56:17.9988450Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-08-14T20:56:17.9988640Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-08-14T20:56:17.9988850Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-08-14T20:56:17.9989030Z Similarly, the process groups within this class do not have such an intra-machine process
2025-08-14T20:56:17.9989200Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-08-14T20:56:17.9989200Z 
2025-08-14T20:56:17.9989240Z Args:
2025-08-14T20:56:17.9989400Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-08-14T20:56:17.9989550Z                             process group size, used for initializing process groups of
2025-08-14T20:56:17.9989700Z                             different sizes in a hierarchy to average parameters concurrently.
2025-08-14T20:56:17.9989830Z                             Particularly, at each iteration, there will be at most a single
2025-08-14T20:56:17.9989980Z                             process group that runs averaging -- the period of such group should
2025-08-14T20:56:17.9990110Z                             have the largest period which the current step can be divided by.
2025-08-14T20:56:17.9990210Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-08-14T20:56:17.9990340Z                             then this means totally three process groups will be created to
2025-08-14T20:56:17.9990470Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-08-14T20:56:17.9990580Z                             At the 4th iteration, only the second process group will run
2025-08-14T20:56:17.9990700Z                             averaging, because the first process group should be a
2025-08-14T20:56:17.9990840Z                             subset of the second process group, and no need to execute the first
2025-08-14T20:56:17.9990920Z                             process group redundantly.
2025-08-14T20:56:17.9991040Z                             On the other hand, the third process group can only be triggered
2025-08-14T20:56:17.9991180Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-08-14T20:56:17.9991360Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-08-14T20:56:17.9991630Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-08-14T20:56:17.9991960Z                                             If ``None``, the default process group, which is created
2025-08-14T20:56:17.9992110Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-08-14T20:56:17.9992210Z                                             (default: ``None``)
2025-08-14T20:56:17.9992210Z 
2025-08-14T20:56:17.9992260Z Example::
2025-08-14T20:56:17.9992330Z     >>> # xdoctest: +SKIP('undefined rank')
2025-08-14T20:56:17.9992400Z     >>> from collections import OrderedDict
2025-08-14T20:56:17.9992450Z     >>> import torch
2025-08-14T20:56:17.9992510Z     >>> import torch.distributed as dist
2025-08-14T20:56:17.9992680Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-14T20:56:17.9992740Z     >>>     PostLocalSGDState,
2025-08-14T20:56:17.9992800Z     >>>     post_localSGD_hook,
2025-08-14T20:56:17.9992840Z     >>> )
2025-08-14T20:56:17.9993060Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-08-14T20:56:17.9993120Z     >>> import torch.nn as nn
2025-08-14T20:56:17.9993170Z     >>>
2025-08-14T20:56:17.9993280Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-14T20:56:17.9993340Z     >>> torch.cuda.set_device(rank)
2025-08-14T20:56:17.9993420Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-08-14T20:56:17.9993520Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:17.9993600Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:17.9993650Z     >>> )
2025-08-14T20:56:17.9993730Z     >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:17.9993900Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-08-14T20:56:17.9993970Z     >>> subgroup, _ = dist.new_subgroups()
2025-08-14T20:56:17.9994160Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-08-14T20:56:17.9994250Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:17.9994300Z     >>>
2025-08-14T20:56:17.9994510Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-08-14T20:56:17.9994590Z     >>> # the 16 processes every 16 iterations.
2025-08-14T20:56:17.9994700Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-08-14T20:56:17.9994840Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-08-14T20:56:17.9995040Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:17.9995200Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-14T20:56:17.9995290Z     >>> # After 100 steps, run model averaging at two levels.
2025-08-14T20:56:17.9995350Z     >>> for step in range(0, 200):
2025-08-14T20:56:17.9995410Z     >>>    optimizer.zero_grad()
2025-08-14T20:56:17.9995470Z     >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:17.9995530Z     >>>    loss.backward()
2025-08-14T20:56:17.9995590Z     >>>    optimizer.step()
2025-08-14T20:56:17.9995690Z     >>>    # Average parameters after ``optimizer.step()``.
2025-08-14T20:56:17.9995860Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-08-14T20:56:17.9995960Z     >>>    averager.average_parameters(model.parameters())
2025-08-14T20:56:17.9995960Z 
2025-08-14T20:56:17.9996010Z .. warning ::
2025-08-14T20:56:17.9996170Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-08-14T20:56:17.9996310Z     which indicates model averaging at the highest level of the hierarchy.
2025-08-14T20:56:17.9996500Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-08-14T20:56:17.9996500Z 
2025-08-14T20:56:17.9996550Z .. warning ::
2025-08-14T20:56:17.9996680Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-08-14T20:56:17.9996690Z 
2025-08-14T20:56:17.9996910Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0466200Z 
2025-08-14T20:56:18.0469600Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-08-14T20:56:18.0470100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0470210Z 
2025-08-14T20:56:18.0470390Z Run post-localSGD algorithm.
2025-08-14T20:56:18.0470400Z 
2025-08-14T20:56:18.0470800Z This DDP communication hook is used for running post-localSGD algorithm,
2025-08-14T20:56:18.0471050Z by combining with a model averaging component (e.g.,
2025-08-14T20:56:18.0471580Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-08-14T20:56:18.0471770Z that runs after the optimizer step.
2025-08-14T20:56:18.0471780Z 
2025-08-14T20:56:18.0471950Z Args:
2025-08-14T20:56:18.0472320Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-08-14T20:56:18.0472780Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-08-14T20:56:18.0473450Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-14T20:56:18.0473860Z         Note that since DDP comm hook only supports single process single device mode,
2025-08-14T20:56:18.0474100Z         only exactly one tensor is stored in this bucket.
2025-08-14T20:56:18.0474110Z 
2025-08-14T20:56:18.0474260Z Returns:
2025-08-14T20:56:18.0474650Z     Future handler of the communication, which updates the gradients in place.
2025-08-14T20:56:18.0474650Z 
2025-08-14T20:56:18.0474830Z Example::
2025-08-14T20:56:18.0474990Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.0475430Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-08-14T20:56:18.0475540Z                               start_localSGD_iter=10)
2025-08-14T20:56:18.0475740Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:18.0475950Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-08-14T20:56:18.0476160Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-08-14T20:56:18.0476160Z 
2025-08-14T20:56:18.0476310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0476320Z 
2025-08-14T20:56:18.0476790Z msg = Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-08-14T20:56:18.0476950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0476950Z 
2025-08-14T20:56:18.0477020Z Implement PowerSGD algorithm.
2025-08-14T20:56:18.0477020Z 
2025-08-14T20:56:18.0477160Z This DDP communication hook implements PowerSGD gradient compression
2025-08-14T20:56:18.0477300Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-08-14T20:56:18.0477440Z Once gradient tensors are aggregated across all workers, this hook applies
2025-08-14T20:56:18.0477490Z compression as follows:
2025-08-14T20:56:18.0477500Z 
2025-08-14T20:56:18.0477760Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-08-14T20:56:18.0477760Z 
2025-08-14T20:56:18.0478000Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-08-14T20:56:18.0478010Z 
2025-08-14T20:56:18.0478240Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-08-14T20:56:18.0478240Z 
2025-08-14T20:56:18.0478400Z 2. Handles uncompressed tensors:
2025-08-14T20:56:18.0478400Z 
2025-08-14T20:56:18.0478700Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-08-14T20:56:18.0478750Z 
2025-08-14T20:56:18.0478950Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-08-14T20:56:18.0478960Z 
2025-08-14T20:56:18.0479100Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-08-14T20:56:18.0479100Z 
2025-08-14T20:56:18.0479250Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-08-14T20:56:18.0479440Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-08-14T20:56:18.0479440Z 
2025-08-14T20:56:18.0479530Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-08-14T20:56:18.0479540Z 
2025-08-14T20:56:18.0479600Z     3.3. Allreduces Ps as a batch;
2025-08-14T20:56:18.0479600Z 
2025-08-14T20:56:18.0479670Z     3.4. Orthogonalizes each P in Ps;
2025-08-14T20:56:18.0479670Z 
2025-08-14T20:56:18.0479790Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-08-14T20:56:18.0479790Z 
2025-08-14T20:56:18.0479850Z     3.6. Allreduces Qs as a batch;
2025-08-14T20:56:18.0479850Z 
2025-08-14T20:56:18.0480030Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-08-14T20:56:18.0480030Z 
2025-08-14T20:56:18.0480270Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-08-14T20:56:18.0480440Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-08-14T20:56:18.0480700Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-08-14T20:56:18.0480700Z 
2025-08-14T20:56:18.0480740Z Args:
2025-08-14T20:56:18.0481010Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-08-14T20:56:18.0481260Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-08-14T20:56:18.0481320Z         and ``min_compression_rate``.
2025-08-14T20:56:18.0481560Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-14T20:56:18.0481710Z         Note that since DDP comm hook only supports single process single device mode,
2025-08-14T20:56:18.0481800Z         only exactly one tensor is stored in this bucket.
2025-08-14T20:56:18.0481810Z 
2025-08-14T20:56:18.0481850Z Returns:
2025-08-14T20:56:18.0482000Z     Future handler of the communication, which updates the gradients in place.
2025-08-14T20:56:18.0482000Z 
2025-08-14T20:56:18.0482050Z Example::
2025-08-14T20:56:18.0482100Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.0482270Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-08-14T20:56:18.0482380Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-08-14T20:56:18.0482470Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-08-14T20:56:18.0482470Z 
2025-08-14T20:56:18.0482620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0482630Z 
2025-08-14T20:56:18.0483110Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-08-14T20:56:18.0483270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0483270Z 
2025-08-14T20:56:18.0483500Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-14T20:56:18.0483590Z This optimizer runs local optimizer at every step.
2025-08-14T20:56:18.0483830Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-08-14T20:56:18.0483860Z 
2025-08-14T20:56:18.0483900Z Args:
2025-08-14T20:56:18.0483970Z     optim: The local optimizer.
2025-08-14T20:56:18.0484100Z     averager: A model averager instance to run post-localSGD algorithm.
2025-08-14T20:56:18.0484100Z 
2025-08-14T20:56:18.0484150Z Example::
2025-08-14T20:56:18.0484160Z 
2025-08-14T20:56:18.0484230Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.0484280Z     >>> import torch
2025-08-14T20:56:18.0484340Z     >>> import torch.distributed as dist
2025-08-14T20:56:18.0484510Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-14T20:56:18.0484560Z     >>> import torch.nn as nn
2025-08-14T20:56:18.0484680Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-08-14T20:56:18.0484850Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-14T20:56:18.0484910Z     >>>   PostLocalSGDState,
2025-08-14T20:56:18.0484970Z     >>>   post_localSGD_hook,
2025-08-14T20:56:18.0485010Z     >>> )
2025-08-14T20:56:18.0485050Z     >>>
2025-08-14T20:56:18.0485150Z     >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:18.0485240Z     >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:18.0485280Z     >>> )
2025-08-14T20:56:18.0485320Z     >>>
2025-08-14T20:56:18.0485410Z     >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:18.0485590Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-14T20:56:18.0485680Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:18.0485720Z     >>>
2025-08-14T20:56:18.0485850Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-08-14T20:56:18.0486000Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-08-14T20:56:18.0486110Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:18.0486270Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-08-14T20:56:18.0486340Z     >>> opt = PostLocalSGDOptimizer(
2025-08-14T20:56:18.0486400Z     >>>     optim=local_optim,
2025-08-14T20:56:18.0486550Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-14T20:56:18.0486600Z     >>> )
2025-08-14T20:56:18.0486640Z     >>>
2025-08-14T20:56:18.0486770Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-08-14T20:56:18.0486960Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-08-14T20:56:18.0487170Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-08-14T20:56:18.0487230Z     >>> for step in range(0, 200):
2025-08-14T20:56:18.0487280Z     >>>    opt.zero_grad()
2025-08-14T20:56:18.0487350Z     >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:18.0487400Z     >>>    loss.backward()
2025-08-14T20:56:18.0487450Z     >>>    opt.step()
2025-08-14T20:56:18.0487460Z 
2025-08-14T20:56:18.0487610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0487610Z 
2025-08-14T20:56:18.0488040Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-08-14T20:56:18.0488200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0488200Z 
2025-08-14T20:56:18.0488340Z DistributedOptimizer takes remote references to parameters scattered
2025-08-14T20:56:18.0488490Z across workers and applies the given optimizer locally for each parameter.
2025-08-14T20:56:18.0488490Z 
2025-08-14T20:56:18.0488640Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-08-14T20:56:18.0488800Z to retrieve the gradients for specific parameters.
2025-08-14T20:56:18.0488800Z 
2025-08-14T20:56:18.0488880Z Concurrent calls to
2025-08-14T20:56:18.0489010Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-08-14T20:56:18.0489090Z either from the same or different clients, will
2025-08-14T20:56:18.0489230Z be serialized on each worker -- as each worker's optimizer can only work
2025-08-14T20:56:18.0489360Z on one set of gradients at a time. However, there is no guarantee that
2025-08-14T20:56:18.0489510Z the full forward-backward-optimizer sequence will execute for one client
2025-08-14T20:56:18.0489640Z at a time. This means that the gradients being applied may not correspond
2025-08-14T20:56:18.0489770Z to the latest forward pass executed on a given worker. Also, there is no
2025-08-14T20:56:18.0489840Z guaranteed ordering across workers.
2025-08-14T20:56:18.0489840Z 
2025-08-14T20:56:18.0490000Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-08-14T20:56:18.0490140Z by default, so that optimizer updates are not blocked by the Python Global
2025-08-14T20:56:18.0490290Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-08-14T20:56:18.0490440Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-08-14T20:56:18.0490600Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-08-14T20:56:18.0490660Z for your own custom optimizers.
2025-08-14T20:56:18.0490660Z 
2025-08-14T20:56:18.0490710Z Args:
2025-08-14T20:56:18.0490830Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-08-14T20:56:18.0490890Z         instantiate on each worker.
2025-08-14T20:56:18.0491020Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-08-14T20:56:18.0491070Z         to optimize.
2025-08-14T20:56:18.0491190Z     args: arguments to pass to the optimizer constructor on each worker.
2025-08-14T20:56:18.0491330Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-08-14T20:56:18.0491350Z 
2025-08-14T20:56:18.0491400Z Example::
2025-08-14T20:56:18.0491470Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:18.0491570Z     >>> import torch.distributed.autograd as dist_autograd
2025-08-14T20:56:18.0491640Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:18.0491700Z     >>> from torch import optim
2025-08-14T20:56:18.0491810Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-08-14T20:56:18.0491860Z     >>>
2025-08-14T20:56:18.0491940Z     >>> with dist_autograd.context() as context_id:
2025-08-14T20:56:18.0491990Z     >>>   # Forward pass.
2025-08-14T20:56:18.0492110Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-08-14T20:56:18.0492230Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-08-14T20:56:18.0492300Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-08-14T20:56:18.0492350Z     >>>
2025-08-14T20:56:18.0492400Z     >>>   # Backward pass.
2025-08-14T20:56:18.0492500Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-08-14T20:56:18.0492540Z     >>>
2025-08-14T20:56:18.0492590Z     >>>   # Optimizer.
2025-08-14T20:56:18.0492660Z     >>>   dist_optim = DistributedOptimizer(
2025-08-14T20:56:18.0492710Z     >>>      optim.SGD,
2025-08-14T20:56:18.0492760Z     >>>      [rref1, rref2],
2025-08-14T20:56:18.0492810Z     >>>      lr=0.05,
2025-08-14T20:56:18.0492850Z     >>>   )
2025-08-14T20:56:18.0492910Z     >>>   dist_optim.step(context_id)
2025-08-14T20:56:18.0492920Z 
2025-08-14T20:56:18.0493010Z __ https://github.com/pytorch/tutorials/pull/1465
2025-08-14T20:56:18.0493010Z 
2025-08-14T20:56:18.0493160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0648040Z 
2025-08-14T20:56:18.0648860Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-08-14T20:56:18.0649040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0649090Z 
2025-08-14T20:56:18.0649330Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-08-14T20:56:18.0649340Z 
2025-08-14T20:56:18.0649490Z The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-08-14T20:56:18.0649500Z 
2025-08-14T20:56:18.0649580Z The local optimizer instance in each rank is only
2025-08-14T20:56:18.0649740Z responsible for updating approximately ``1 / world_size`` parameters and
2025-08-14T20:56:18.0649870Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-08-14T20:56:18.0650020Z parameters are updated locally, each rank will broadcast its parameters to
2025-08-14T20:56:18.0650130Z all other peers to keep all model replicas in the same state.
2025-08-14T20:56:18.0650260Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-08-14T20:56:18.0650420Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-08-14T20:56:18.0650480Z memory consumption.
2025-08-14T20:56:18.0650480Z 
2025-08-14T20:56:18.0650640Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-08-14T20:56:18.0650780Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-08-14T20:56:18.0650930Z not divided among ranks. The partition is arbitrary and might not match the
2025-08-14T20:56:18.0651040Z the parameter registration or usage order.
2025-08-14T20:56:18.0651040Z 
2025-08-14T20:56:18.0651080Z Arguments:
2025-08-14T20:56:18.0651210Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-08-14T20:56:18.0651330Z         or :class:`dict` s giving all parameters, which will be sharded
2025-08-14T20:56:18.0651380Z         across ranks.
2025-08-14T20:56:18.0651380Z 
2025-08-14T20:56:18.0651430Z Keyword Args:
2025-08-14T20:56:18.0651570Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-08-14T20:56:18.0651660Z         optimizer.
2025-08-14T20:56:18.0651790Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-08-14T20:56:18.0651910Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-08-14T20:56:18.0652010Z         :meth:`torch.distributed.init_process_group`).
2025-08-14T20:56:18.0652150Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-08-14T20:56:18.0652290Z         packed into buckets to speed up communication, and ``param.data``
2025-08-14T20:56:18.0652410Z         fields point to bucket views at different offsets; if ``False``,
2025-08-14T20:56:18.0652540Z         each individual parameter is communicated separately, and each
2025-08-14T20:56:18.0652640Z         ``params.data`` stays intact (default: ``False``).
2025-08-14T20:56:18.0652760Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-08-14T20:56:18.0652890Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-08-14T20:56:18.0653030Z         synchronization; this requires (1) either a functional optimizer
2025-08-14T20:56:18.0653140Z         for the ``optimizer_class`` argument or one with a functional
2025-08-14T20:56:18.0653250Z         equivalent and (2) registering a DDP communication hook
2025-08-14T20:56:18.0653380Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-08-14T20:56:18.0653480Z         parameters are packed into buckets matching those in
2025-08-14T20:56:18.0653580Z         :class:`DistributedDataParallel`, meaning that the
2025-08-14T20:56:18.0653670Z         ``parameters_as_bucket_view`` argument is ignored.
2025-08-14T20:56:18.0653800Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-08-14T20:56:18.0653850Z         (per normal).
2025-08-14T20:56:18.0653900Z         (default: ``False``)
2025-08-14T20:56:18.0654080Z     **defaults: any trailing arguments, which are forwarded to the local
2025-08-14T20:56:18.0654140Z         optimizer.
2025-08-14T20:56:18.0654190Z 
2025-08-14T20:56:18.0654250Z Example::
2025-08-14T20:56:18.0654250Z 
2025-08-14T20:56:18.0654310Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.0654360Z     >>> import torch.nn as nn
2025-08-14T20:56:18.0654500Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-08-14T20:56:18.0654620Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-14T20:56:18.0654770Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-08-14T20:56:18.0654840Z     >>> ddp = DDP(model, device_ids=[rank])
2025-08-14T20:56:18.0654910Z     >>> opt = ZeroRedundancyOptimizer(
2025-08-14T20:56:18.0654970Z     >>>     ddp.parameters(),
2025-08-14T20:56:18.0655050Z     >>>     optimizer_class=torch.optim.Adam,
2025-08-14T20:56:18.0655090Z     >>>     lr=0.01
2025-08-14T20:56:18.0655140Z     >>> )
2025-08-14T20:56:18.0655200Z     >>> ddp(inputs).sum().backward()
2025-08-14T20:56:18.0655250Z     >>> opt.step()
2025-08-14T20:56:18.0655250Z 
2025-08-14T20:56:18.0655300Z .. warning::
2025-08-14T20:56:18.0655430Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-08-14T20:56:18.0655520Z     passed-in parameters are the same dense type.
2025-08-14T20:56:18.0655530Z 
2025-08-14T20:56:18.0655570Z .. warning::
2025-08-14T20:56:18.0655710Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-08-14T20:56:18.0655840Z     the way that overlapping :class:`DistributedDataParallel` with
2025-08-14T20:56:18.0656030Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-08-14T20:56:18.0659740Z     two or three training iterations do not perform parameter updates in
2025-08-14T20:56:18.0659880Z     the optimizer step, depending on if ``static_graph=False`` or
2025-08-14T20:56:18.0659990Z     ``static_graph=True``, respectively. This is because it needs
2025-08-14T20:56:18.0660110Z     information about the gradient bucketing strategy used by
2025-08-14T20:56:18.0660310Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-08-14T20:56:18.0660440Z     second forward pass if ``static_graph=False`` or until the third
2025-08-14T20:56:18.0660570Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-08-14T20:56:18.0660630Z     is to prepend dummy inputs.
2025-08-14T20:56:18.0660630Z 
2025-08-14T20:56:18.0660800Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-08-14T20:56:18.0660800Z 
2025-08-14T20:56:18.0660950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0660960Z 
2025-08-14T20:56:18.0661520Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-08-14T20:56:18.0661690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0661850Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-14T20:56:18.0661860Z 
2025-08-14T20:56:18.0662020Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-08-14T20:56:18.0662150Z         The target module does not have to be a FSDP module. If the target
2025-08-14T20:56:18.0662290Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-08-14T20:56:18.0662290Z 
2025-08-14T20:56:18.0662410Z         .. note:: This API should be called for only the top-level (root)
2025-08-14T20:56:18.0662460Z             module.
2025-08-14T20:56:18.0662460Z 
2025-08-14T20:56:18.0662590Z         .. note:: This API enables users to transparently use the conventional
2025-08-14T20:56:18.0662700Z             ``state_dict`` API to take model checkpoints in cases where the
2025-08-14T20:56:18.0662870Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-08-14T20:56:18.0663010Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-08-14T20:56:18.0663170Z             instances, while dispatching into `sharded_state_dict` implementation
2025-08-14T20:56:18.0663220Z             for FSDP:
2025-08-14T20:56:18.0663220Z 
2025-08-14T20:56:18.0663270Z         Example::
2025-08-14T20:56:18.0663270Z 
2025-08-14T20:56:18.0663360Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.0663420Z             >>> model = DDP(FSDP(...))
2025-08-14T20:56:18.0663480Z             >>> FSDP.set_state_dict_type(
2025-08-14T20:56:18.0663530Z             >>>     model,
2025-08-14T20:56:18.0663610Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-14T20:56:18.0663740Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-08-14T20:56:18.0663890Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-08-14T20:56:18.0663930Z             >>> )
2025-08-14T20:56:18.0664020Z             >>> param_state_dict = model.state_dict()
2025-08-14T20:56:18.0664130Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-14T20:56:18.0664130Z 
2025-08-14T20:56:18.0664170Z         Args:
2025-08-14T20:56:18.0664250Z             module (torch.nn.Module): Root module.
2025-08-14T20:56:18.0664400Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-14T20:56:18.0664540Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-08-14T20:56:18.0664600Z                 target ``state_dict_type``.
2025-08-14T20:56:18.0664760Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-08-14T20:56:18.0664820Z                 for the optimizer state dict.
2025-08-14T20:56:18.0664830Z 
2025-08-14T20:56:18.0664870Z         Returns:
2025-08-14T20:56:18.0665000Z             A StateDictSettings that include the previous state_dict type and
2025-08-14T20:56:18.0665080Z             configuration for the module.
2025-08-14T20:56:18.0665150Z         
2025-08-14T20:56:18.0665310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.0665310Z 
2025-08-14T20:56:18.0665830Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-08-14T20:56:18.0666000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.0666140Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-14T20:56:18.0666140Z 
2025-08-14T20:56:18.0666340Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-08-14T20:56:18.0666420Z         :meth:`set_state_dict_type` for the detail.
2025-08-14T20:56:18.0666420Z 
2025-08-14T20:56:18.0666480Z         Example::
2025-08-14T20:56:18.0666480Z 
2025-08-14T20:56:18.0666560Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.0666620Z             >>> model = DDP(FSDP(...))
2025-08-14T20:56:18.0666680Z             >>> with FSDP.state_dict_type(
2025-08-14T20:56:18.0666740Z             >>>     model,
2025-08-14T20:56:18.0666820Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-14T20:56:18.0666860Z             >>> ):
2025-08-14T20:56:18.0666930Z             >>>     checkpoint = model.state_dict()
2025-08-14T20:56:18.0666930Z 
2025-08-14T20:56:18.0666970Z         Args:
2025-08-14T20:56:18.0667050Z             module (torch.nn.Module): Root module.
2025-08-14T20:56:18.0667190Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-14T20:56:18.0667330Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-08-14T20:56:18.0667430Z                 configuration for the target ``state_dict_type``.
2025-08-14T20:56:18.0667630Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-08-14T20:56:18.0667790Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-08-14T20:56:18.0667830Z         
2025-08-14T20:56:18.0667980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1257130Z 
2025-08-14T20:56:18.1257860Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-08-14T20:56:18.1258710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1258940Z 
2025-08-14T20:56:18.1259090Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-08-14T20:56:18.1259310Z 
2025-08-14T20:56:18.1259430Z The given state-dict can be transformed to one of three types:
2025-08-14T20:56:18.1259820Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-08-14T20:56:18.1260080Z 
2025-08-14T20:56:18.1260230Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-08-14T20:56:18.1260570Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-08-14T20:56:18.1260820Z avoid OOM.
2025-08-14T20:56:18.1260900Z 
2025-08-14T20:56:18.1261040Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-08-14T20:56:18.1261380Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-08-14T20:56:18.1261610Z memory.
2025-08-14T20:56:18.1261680Z 
2025-08-14T20:56:18.1261820Z For local state_dict, no transformation will be performed. But a state
2025-08-14T20:56:18.1262170Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-08-14T20:56:18.1262450Z nature (this is not supported yet).
2025-08-14T20:56:18.1262590Z 
2025-08-14T20:56:18.1262650Z Example::
2025-08-14T20:56:18.1262730Z 
2025-08-14T20:56:18.1262900Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.1263210Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:18.1263520Z     >>> from torch.distributed.fsdp import StateDictType
2025-08-14T20:56:18.1263800Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-14T20:56:18.1264110Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-14T20:56:18.1264360Z     >>> # Save a checkpoint
2025-08-14T20:56:18.1264530Z     >>> model, optim = ...
2025-08-14T20:56:18.1264700Z     >>> FSDP.set_state_dict_type(
2025-08-14T20:56:18.1264870Z     >>>     model,
2025-08-14T20:56:18.1265030Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:18.1265240Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1265480Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1265670Z     >>> )
2025-08-14T20:56:18.1265810Z     >>> state_dict = model.state_dict()
2025-08-14T20:56:18.1266050Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-14T20:56:18.1266320Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-14T20:56:18.1266530Z     >>> # Load a checkpoint
2025-08-14T20:56:18.1266680Z     >>> model, optim = ...
2025-08-14T20:56:18.1266890Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-14T20:56:18.1267120Z     >>> FSDP.set_state_dict_type(
2025-08-14T20:56:18.1267280Z     >>>     model,
2025-08-14T20:56:18.1267440Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:18.1267660Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1267890Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1268080Z     >>> )
2025-08-14T20:56:18.1268210Z     >>> model.load_state_dict(state_dict)
2025-08-14T20:56:18.1268430Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:18.1268650Z     >>>     model, optim, optim_state_dict
2025-08-14T20:56:18.1268920Z     >>> )
2025-08-14T20:56:18.1269070Z     >>> optim.load_state_dict(optim_state_dict)
2025-08-14T20:56:18.1269250Z 
2025-08-14T20:56:18.1269300Z Args:
2025-08-14T20:56:18.1269490Z     model (torch.nn.Module): Root module (which may or may not be a
2025-08-14T20:56:18.1269800Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-14T20:56:18.1270070Z         were passed into the optimizer ``optim``.
2025-08-14T20:56:18.1270320Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-14T20:56:18.1270540Z         parameters.
2025-08-14T20:56:18.1270760Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-08-14T20:56:18.1271080Z         transform. If the value is None, optim.state_dict() will be used. (
2025-08-14T20:56:18.1271330Z         Default: ``None``)
2025-08-14T20:56:18.1271580Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-08-14T20:56:18.1271900Z         are sharded or ``None`` if using the default process group. (
2025-08-14T20:56:18.1272130Z         Default: ``None``)
2025-08-14T20:56:18.1272230Z 
2025-08-14T20:56:18.1272270Z Returns:
2025-08-14T20:56:18.1272460Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-08-14T20:56:18.1272740Z     ``model``. The sharding of the optimizer state is based on
2025-08-14T20:56:18.1272960Z     ``state_dict_type``.
2025-08-14T20:56:18.1273060Z 
2025-08-14T20:56:18.1273210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1273430Z 
2025-08-14T20:56:18.1273980Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-08-14T20:56:18.1274730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1274960Z 
2025-08-14T20:56:18.1275170Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-08-14T20:56:18.1275470Z 
2025-08-14T20:56:18.1275570Z Given a ``optim_state_dict`` that is transformed through
2025-08-14T20:56:18.1275870Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-08-14T20:56:18.1276190Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-08-14T20:56:18.1276500Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-08-14T20:56:18.1276680Z 
2025-08-14T20:56:18.1276750Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.1277040Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:18.1277360Z     >>> from torch.distributed.fsdp import StateDictType
2025-08-14T20:56:18.1277630Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-14T20:56:18.1277930Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-14T20:56:18.1278170Z     >>> # Save a checkpoint
2025-08-14T20:56:18.1278330Z     >>> model, optim = ...
2025-08-14T20:56:18.1278490Z     >>> FSDP.set_state_dict_type(
2025-08-14T20:56:18.1278650Z     >>>     model,
2025-08-14T20:56:18.1278790Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:18.1279000Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1279230Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1279420Z     >>> )
2025-08-14T20:56:18.1279550Z     >>> state_dict = model.state_dict()
2025-08-14T20:56:18.1279740Z     >>> original_osd = optim.state_dict()
2025-08-14T20:56:18.1279950Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-08-14T20:56:18.1280140Z     >>>     model,
2025-08-14T20:56:18.1280260Z     >>>     optim,
2025-08-14T20:56:18.1280400Z     >>>     optim_state_dict=original_osd
2025-08-14T20:56:18.1280570Z     >>> )
2025-08-14T20:56:18.1280720Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-14T20:56:18.1280980Z     >>> # Load a checkpoint
2025-08-14T20:56:18.1281140Z     >>> model, optim = ...
2025-08-14T20:56:18.1281380Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-14T20:56:18.1281600Z     >>> FSDP.set_state_dict_type(
2025-08-14T20:56:18.1281770Z     >>>     model,
2025-08-14T20:56:18.1281910Z     >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:18.1282120Z     >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1282350Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:18.1282540Z     >>> )
2025-08-14T20:56:18.1282670Z     >>> model.load_state_dict(state_dict)
2025-08-14T20:56:18.1282890Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:18.1283100Z     >>>     model, optim, optim_state_dict
2025-08-14T20:56:18.1283270Z     >>> )
2025-08-14T20:56:18.1283410Z     >>> optim.load_state_dict(optim_state_dict)
2025-08-14T20:56:18.1283550Z 
2025-08-14T20:56:18.1283590Z Args:
2025-08-14T20:56:18.1283780Z     model (torch.nn.Module): Root module (which may or may not be a
2025-08-14T20:56:18.1284090Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-14T20:56:18.1284360Z         were passed into the optimizer ``optim``.
2025-08-14T20:56:18.1284620Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-14T20:56:18.1284850Z         parameters.
2025-08-14T20:56:18.1285060Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-08-14T20:56:18.1285380Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-08-14T20:56:18.1285690Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-08-14T20:56:18.1285970Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-08-14T20:56:18.1286260Z     load_directly (bool): If this is set to True, this API will also
2025-08-14T20:56:18.1286550Z         call optim.load_state_dict(result) before returning the result.
2025-08-14T20:56:18.1286880Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-08-14T20:56:18.1287170Z         (Default: ``False``)
2025-08-14T20:56:18.1287430Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-08-14T20:56:18.1287750Z         are sharded or ``None`` if using the default process group. (
2025-08-14T20:56:18.1287980Z         Default: ``None``)
2025-08-14T20:56:18.1288080Z 
2025-08-14T20:56:18.1288240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1288450Z 
2025-08-14T20:56:18.1288840Z msg = Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-08-14T20:56:18.1289440Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1289670Z 
2025-08-14T20:56:18.1289760Z This configures FSDP-native mixed precision training.
2025-08-14T20:56:18.1289930Z 
2025-08-14T20:56:18.1289970Z Attributes:
2025-08-14T20:56:18.1290180Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-08-14T20:56:18.1290510Z         parameters during forward and backward and thus the dtype for
2025-08-14T20:56:18.1290830Z         forward and backward computation. Outside forward and backward, the
2025-08-14T20:56:18.1291140Z         *sharded* parameters are kept in full precision (e.g. for the
2025-08-14T20:56:18.1291450Z         optimizer step), and for model checkpointing, the parameters are
2025-08-14T20:56:18.1291730Z         always saved in full precision. (Default: ``None``)
2025-08-14T20:56:18.1292020Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-14T20:56:18.1292340Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-08-14T20:56:18.1292650Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-08-14T20:56:18.1292950Z         the ``param_dtype`` value, still running gradient reduction in low
2025-08-14T20:56:18.1293300Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-08-14T20:56:18.1293650Z         to force gradient reduction to run in full precision. (Default:
2025-08-14T20:56:18.1293870Z         ``None``)
2025-08-14T20:56:18.1294080Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-14T20:56:18.1294390Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-08-14T20:56:18.1294700Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-08-14T20:56:18.1295000Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-08-14T20:56:18.1295300Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-08-14T20:56:18.1295510Z         ``None``)
2025-08-14T20:56:18.1295710Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-08-14T20:56:18.1296030Z         gradients to full precision after the backward pass in preparation
2025-08-14T20:56:18.1296350Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-08-14T20:56:18.1296660Z         in the dtype used for gradient reduction, which can save memory if
2025-08-14T20:56:18.1296970Z         using a custom optimizer that supports running in low precision.
2025-08-14T20:56:18.1297210Z         (Default: ``False``)
2025-08-14T20:56:18.1297450Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-08-14T20:56:18.1297750Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-08-14T20:56:18.1298070Z         that parameter and input dtypes match for forward computation, as
2025-08-14T20:56:18.1298390Z         required by many ops. This may need to be set to ``True`` when only
2025-08-14T20:56:18.1298710Z         applying mixed precision to some but not all FSDP modules, in which
2025-08-14T20:56:18.1299030Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-08-14T20:56:18.1299280Z         (Default: ``False``)
2025-08-14T20:56:18.1299520Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-08-14T20:56:18.1299880Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-08-14T20:56:18.1300180Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-08-14T20:56:18.1300440Z         this does not do anything. (Default: ``True``)
2025-08-14T20:56:18.1300720Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-08-14T20:56:18.1301020Z         module classes to ignore for mixed precision when using an
2025-08-14T20:56:18.1301300Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-08-14T20:56:18.1301610Z         applied to them separately with mixed precision disabled (meaning
2025-08-14T20:56:18.1301920Z         that the final FSDP construction would deviate from the specified
2025-08-14T20:56:18.1302220Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-08-14T20:56:18.1302520Z         not do anything. This API is experimental and subject to change.
2025-08-14T20:56:18.1302780Z         (Default: ``(_BatchNorm,)``)
2025-08-14T20:56:18.1302900Z 
2025-08-14T20:56:18.1303010Z .. note:: This API is experimental and subject to change.
2025-08-14T20:56:18.1303170Z 
2025-08-14T20:56:18.1303300Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-08-14T20:56:18.1303500Z 
2025-08-14T20:56:18.1303620Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-08-14T20:56:18.1303860Z     precision, but buffers are not.
2025-08-14T20:56:18.1303990Z 
2025-08-14T20:56:18.1304110Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-08-14T20:56:18.1304430Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-08-14T20:56:18.1304760Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-08-14T20:56:18.1305090Z     the affine parameters are kept in ``float32``. However, this incurs
2025-08-14T20:56:18.1305510Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-08-14T20:56:18.1305890Z     may be inefficient, so if the workload permits, the user should prefer
2025-08-14T20:56:18.1306180Z     to still apply mixed precision to those modules.
2025-08-14T20:56:18.1306330Z 
2025-08-14T20:56:18.1306460Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-08-14T20:56:18.1306770Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-08-14T20:56:18.1307090Z     modules will have FSDP applied to them separately with mixed precision
2025-08-14T20:56:18.1307390Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-08-14T20:56:18.1307560Z 
2025-08-14T20:56:18.1307690Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-08-14T20:56:18.1308010Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-08-14T20:56:18.1308300Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-08-14T20:56:18.1308590Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-08-14T20:56:18.1308890Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-08-14T20:56:18.1309220Z     sufficient for the typical case where each FSDP instance has the same
2025-08-14T20:56:18.1309550Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-08-14T20:56:18.1309860Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-08-14T20:56:18.1310030Z 
2025-08-14T20:56:18.1310150Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-08-14T20:56:18.1310480Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-08-14T20:56:18.1310820Z     values to configure casting inputs or not before each instance's
2025-08-14T20:56:18.1311120Z     forward. In such a case, since the casts happen before each FSDP
2025-08-14T20:56:18.1311430Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-08-14T20:56:18.1311770Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-08-14T20:56:18.1312140Z     being changed due to a different ``MixedPrecision`` configuration.
2025-08-14T20:56:18.1312330Z 
2025-08-14T20:56:18.1312380Z     Example::
2025-08-14T20:56:18.1312450Z 
2025-08-14T20:56:18.1312540Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.1312780Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-08-14T20:56:18.1313000Z         >>> model[1] = FSDP(
2025-08-14T20:56:18.1313160Z         >>>     model[1],
2025-08-14T20:56:18.1313440Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-08-14T20:56:18.1313730Z         >>> )
2025-08-14T20:56:18.1313850Z         >>> model = FSDP(
2025-08-14T20:56:18.1313990Z         >>>     model,
2025-08-14T20:56:18.1314260Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-08-14T20:56:18.1314560Z         >>> )
2025-08-14T20:56:18.1314630Z 
2025-08-14T20:56:18.1314760Z     The above shows a working example. On the other hand, if ``model[1]``
2025-08-14T20:56:18.1315080Z     were replaced with ``model[0]``, meaning that the submodule using
2025-08-14T20:56:18.1315400Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-08-14T20:56:18.1315780Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-08-14T20:56:18.1320610Z     ones.
2025-08-14T20:56:18.1320690Z 
2025-08-14T20:56:18.1320690Z 
2025-08-14T20:56:18.1320840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1815300Z 
2025-08-14T20:56:18.1815940Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-08-14T20:56:18.1816600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1816970Z 
2025-08-14T20:56:18.1817100Z ``FullStateDictConfig`` is a config class meant to be used with
2025-08-14T20:56:18.1817480Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-14T20:56:18.1817800Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-14T20:56:18.1818130Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-14T20:56:18.1818470Z is meant to be used via the :func:`state_dict_type` context manager as
2025-08-14T20:56:18.1818710Z follows:
2025-08-14T20:56:18.1818780Z 
2025-08-14T20:56:18.1818860Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:18.1819150Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:18.1819450Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-14T20:56:18.1819730Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-14T20:56:18.1820070Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-14T20:56:18.1820340Z     >>>     state = fsdp.state_dict()
2025-08-14T20:56:18.1820610Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-14T20:56:18.1820960Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-14T20:56:18.1821320Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-14T20:56:18.1821590Z     >>> if dist.get_rank() == 0:
2025-08-14T20:56:18.1821830Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-14T20:56:18.1822140Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-14T20:56:18.1822370Z     >>>     model.load_state_dict(state_dict)
2025-08-14T20:56:18.1822660Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-14T20:56:18.1823020Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-14T20:56:18.1823280Z     >>> fsdp = FSDP(
2025-08-14T20:56:18.1823420Z     ...     model,
2025-08-14T20:56:18.1823630Z     ...     device_id=torch.cuda.current_device(),
2025-08-14T20:56:18.1823840Z     ...     auto_wrap_policy=...,
2025-08-14T20:56:18.1824030Z     ...     sync_module_states=True,
2025-08-14T20:56:18.1824200Z     ... )
2025-08-14T20:56:18.1824400Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-14T20:56:18.1824600Z 
2025-08-14T20:56:18.1824650Z Attributes:
2025-08-14T20:56:18.1824850Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-14T20:56:18.1825170Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-14T20:56:18.1825460Z         ranks save the full state dict. (Default: ``False``)
2025-08-14T20:56:18.1825640Z 
2025-08-14T20:56:18.1825790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1826000Z 
2025-08-14T20:56:18.1826470Z msg = Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-08-14T20:56:18.1827160Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1827380Z 
2025-08-14T20:56:18.1827530Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-08-14T20:56:18.1827820Z Needs to be called on all ranks in an SPMD fashion.
2025-08-14T20:56:18.1827980Z 
2025-08-14T20:56:18.1828020Z Args:
2025-08-14T20:56:18.1828250Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-08-14T20:56:18.1828590Z         of shards that represent the local shards on this rank.
2025-08-14T20:56:18.1828890Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-08-14T20:56:18.1829170Z         shape of the overall sharded tensor.
2025-08-14T20:56:18.1829310Z 
2025-08-14T20:56:18.1829360Z Keyword args:
2025-08-14T20:56:18.1829640Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:18.1830000Z         the default process group will be used.
2025-08-14T20:56:18.1830250Z     init_rrefs (bool, optional): Whether or not to initialize
2025-08-14T20:56:18.1830550Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-14T20:56:18.1830860Z         Need to initialize the RPC Framework if specified as ``True``.
2025-08-14T20:56:18.1831100Z         Default: ``False``.
2025-08-14T20:56:18.1831200Z 
2025-08-14T20:56:18.1831240Z Returns:
2025-08-14T20:56:18.1831400Z     A :class:`ShardedTensor` object handle on this rank
2025-08-14T20:56:18.1831550Z 
2025-08-14T20:56:18.1831550Z 
2025-08-14T20:56:18.1831600Z Examples:
2025-08-14T20:56:18.1831810Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-08-14T20:56:18.1832140Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-08-14T20:56:18.1832310Z 
2025-08-14T20:56:18.1832370Z     on rank 0:
2025-08-14T20:56:18.1832510Z     >>> # xdoctest: +SKIP("not distributed")
2025-08-14T20:56:18.1832720Z     >>> local_shard_metadata = ShardMetadata(
2025-08-14T20:56:18.1832900Z     >>>     shard_offsets=[0, 0],
2025-08-14T20:56:18.1833080Z     >>>     shard_lengths=[5, 5],
2025-08-14T20:56:18.1833260Z     >>>     placement="rank:0/cuda:0"
2025-08-14T20:56:18.1833420Z     >>> )
2025-08-14T20:56:18.1833600Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-14T20:56:18.1833900Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-14T20:56:18.1834080Z 
2025-08-14T20:56:18.1834130Z     on rank 1:
2025-08-14T20:56:18.1834270Z     >>> # xdoctest: +SKIP("not distributed")
2025-08-14T20:56:18.1834470Z     >>> local_shard_metadata = ShardMetadata(
2025-08-14T20:56:18.1834660Z     >>>     shard_offsets=[5, 0],
2025-08-14T20:56:18.1834820Z     >>>     shard_lengths=[5, 5],
2025-08-14T20:56:18.1835010Z     >>>     placement="rank:1/cuda:1"
2025-08-14T20:56:18.1835190Z     >>> )
2025-08-14T20:56:18.1835430Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-14T20:56:18.1835740Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-14T20:56:18.1835920Z 
2025-08-14T20:56:18.1836070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1836290Z 
2025-08-14T20:56:18.1836770Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-08-14T20:56:18.1837460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1837680Z 
2025-08-14T20:56:18.1837840Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-08-14T20:56:18.1838120Z size and sharding spec on each rank.
2025-08-14T20:56:18.1838240Z 
2025-08-14T20:56:18.1838290Z Args:
2025-08-14T20:56:18.1838490Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-08-14T20:56:18.1838860Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-08-14T20:56:18.1839180Z         The specification describing how to shard the Tensor.
2025-08-14T20:56:18.1839450Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-08-14T20:56:18.1839770Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-08-14T20:56:18.1840030Z         Default: None
2025-08-14T20:56:18.1840220Z     init_rrefs (bool, optional): Whether or not to initialize
2025-08-14T20:56:18.1840530Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-14T20:56:18.1840840Z         Need to initialize the RPC Framework if specified as ``True``.
2025-08-14T20:56:18.1841070Z         Default: ``False``.
2025-08-14T20:56:18.1841170Z 
2025-08-14T20:56:18.1841220Z Returns:
2025-08-14T20:56:18.1841470Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-08-14T20:56:18.1841780Z         tensor stored in the current rank.
2025-08-14T20:56:18.1841910Z 
2025-08-14T20:56:18.1841950Z Examples:
2025-08-14T20:56:18.1842070Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.1842250Z     >>> # All tensors below are of torch.int64 type.
2025-08-14T20:56:18.1842460Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:18.1842700Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-08-14T20:56:18.1842990Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-08-14T20:56:18.1843230Z     >>> local_tensor
2025-08-14T20:56:18.1843370Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-08-14T20:56:18.1843550Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-08-14T20:56:18.1843710Z     >>> sharding_dim = 0
2025-08-14T20:56:18.1843870Z     >>> sharding_spec = ChunkShardingSpec(
2025-08-14T20:56:18.1844060Z             dim=sharding_dim,
2025-08-14T20:56:18.1844220Z             placements=[
2025-08-14T20:56:18.1844380Z                 "rank:0/cuda:0",
2025-08-14T20:56:18.1844540Z                 "rank:1/cuda:1",
2025-08-14T20:56:18.1844690Z             ],
2025-08-14T20:56:18.1844810Z         )
2025-08-14T20:56:18.1844950Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-08-14T20:56:18.1845170Z     ...     local_tensor, sharding_spec, [2, 4]
2025-08-14T20:56:18.1845350Z     ... )
2025-08-14T20:56:18.1845450Z     >>> st
2025-08-14T20:56:18.1845570Z     ShardedTensor(
2025-08-14T20:56:18.1845710Z         ShardedTensorMetadata(
2025-08-14T20:56:18.1845870Z             shards_metadata=[
2025-08-14T20:56:18.1846140Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-08-14T20:56:18.1846520Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-08-14T20:56:18.1846780Z             ],
2025-08-14T20:56:18.1846910Z             size=torch.Size([2, 4])
2025-08-14T20:56:18.1847070Z     )
2025-08-14T20:56:18.1847190Z     >>> st.local_tensor()
2025-08-14T20:56:18.1847370Z     tensor([1, 2, 3, 4]) # Rank 0
2025-08-14T20:56:18.1847540Z     tensor([3, 4, 5, 6]) # Rank 1
2025-08-14T20:56:18.1847650Z 
2025-08-14T20:56:18.1847810Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-08-14T20:56:18.1848180Z          rank validations, and we only validate the local shard on the current rank.
2025-08-14T20:56:18.1848520Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-08-14T20:56:18.1848770Z          sharding spec.
2025-08-14T20:56:18.1848860Z 
2025-08-14T20:56:18.1849010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1849220Z 
2025-08-14T20:56:18.1849680Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-08-14T20:56:18.1850350Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1850570Z 
2025-08-14T20:56:18.1850720Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-08-14T20:56:18.1850980Z single local shard.
2025-08-14T20:56:18.1851060Z 
2025-08-14T20:56:18.1851200Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-08-14T20:56:18.1851540Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-08-14T20:56:18.1851800Z we swap local shards directly.
2025-08-14T20:56:18.1852070Z For more generic cases, we merge different shards across different ranks and split
2025-08-14T20:56:18.1852440Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-08-14T20:56:18.1852660Z 
2025-08-14T20:56:18.1852700Z Args:
2025-08-14T20:56:18.1852940Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-08-14T20:56:18.1853480Z         specification describing how the tensor is sharded.
2025-08-14T20:56:18.1853650Z 
2025-08-14T20:56:18.1853730Z Returns:
2025-08-14T20:56:18.1853920Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-08-14T20:56:18.1854100Z 
2025-08-14T20:56:18.1854150Z Examples:
2025-08-14T20:56:18.1854270Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.1854440Z     >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:18.1854680Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-08-14T20:56:18.1854930Z     >>> tensor = torch.stack([tensor, tensor])
2025-08-14T20:56:18.1855110Z     >>> tensor
2025-08-14T20:56:18.1855250Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-08-14T20:56:18.1855450Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-08-14T20:56:18.1855660Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-08-14T20:56:18.1855860Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-08-14T20:56:18.1856050Z     >>> sharding_dim = 0
2025-08-14T20:56:18.1856210Z     >>> spec = ChunkShardingSpec(
2025-08-14T20:56:18.1856380Z             dim=sharding_dim,
2025-08-14T20:56:18.1856540Z             placements=[
2025-08-14T20:56:18.1856690Z                 "rank:0/cuda:0",
2025-08-14T20:56:18.1856850Z                 "rank:1/cuda:1",
2025-08-14T20:56:18.1857010Z                 "rank:2/cuda:2",
2025-08-14T20:56:18.1857160Z                 "rank:3/cuda:3",
2025-08-14T20:56:18.1857310Z             ],
2025-08-14T20:56:18.1857420Z         )
2025-08-14T20:56:18.1857540Z     >>> current_offsets = [0] * 2
2025-08-14T20:56:18.1857710Z     >>> current_offsets[0] = rank * 2
2025-08-14T20:56:18.1857890Z     >>> shard_metadata = ShardMetadata(
2025-08-14T20:56:18.1858100Z             shard_offsets=copy.deepcopy(current_offsets),
2025-08-14T20:56:18.1858320Z             shard_sizes=tensor.size(),
2025-08-14T20:56:18.1858520Z             placement=spec.placements[rank],
2025-08-14T20:56:18.1858690Z         )
2025-08-14T20:56:18.1858810Z     >>> local_shards = [
2025-08-14T20:56:18.1858940Z             Shard(
2025-08-14T20:56:18.1859130Z                 tensor=tensor,
2025-08-14T20:56:18.1859300Z                 metadata=shard_metadata,
2025-08-14T20:56:18.1859460Z             )
2025-08-14T20:56:18.1859570Z         ]
2025-08-14T20:56:18.1859770Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-08-14T20:56:18.1860020Z     >>> sharding_dim = 1
2025-08-14T20:56:18.1860190Z     >>> resharding_spec = ChunkShardingSpec(
2025-08-14T20:56:18.1860380Z             dim=sharding_dim,
2025-08-14T20:56:18.1860540Z             placements=[
2025-08-14T20:56:18.1860690Z                 "rank:0/cuda:0",
2025-08-14T20:56:18.1860850Z                 "rank:1/cuda:1",
2025-08-14T20:56:18.1861000Z                 "rank:2/cuda:2",
2025-08-14T20:56:18.1861160Z                 "rank:3/cuda:3",
2025-08-14T20:56:18.1861300Z             ],
2025-08-14T20:56:18.1861420Z         )
2025-08-14T20:56:18.1861540Z     >>> st.reshard(resharding_spec)
2025-08-14T20:56:18.1861730Z     >>> tensor = st.local_shards()[0].tensor
2025-08-14T20:56:18.1861910Z     >>> tensor
2025-08-14T20:56:18.1862070Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-08-14T20:56:18.1862310Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-08-14T20:56:18.1862540Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-08-14T20:56:18.1862770Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-08-14T20:56:18.1862930Z 
2025-08-14T20:56:18.1863080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1886260Z 
2025-08-14T20:56:18.1886880Z msg = Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-08-14T20:56:18.1887620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1887850Z 
2025-08-14T20:56:18.1888120Z Representation of a sharding plan, describes how to shard a module
2025-08-14T20:56:18.1888500Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-08-14T20:56:18.1888950Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-08-14T20:56:18.1889340Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-08-14T20:56:18.1889560Z 
2025-08-14T20:56:18.1889600Z Args:
2025-08-14T20:56:18.1889840Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-08-14T20:56:18.1890170Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-08-14T20:56:18.1890510Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-08-14T20:56:18.1890890Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-08-14T20:56:18.1891180Z                a parameter to a `ShardingSpec`.
2025-08-14T20:56:18.1891480Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-08-14T20:56:18.1891760Z                to a `Sharder` object.
2025-08-14T20:56:18.1892080Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-08-14T20:56:18.1892510Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-08-14T20:56:18.1892880Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-08-14T20:56:18.1893140Z         Default: `None`
2025-08-14T20:56:18.1893390Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-08-14T20:56:18.1893760Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-08-14T20:56:18.1894120Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-08-14T20:56:18.1894390Z         root module).
2025-08-14T20:56:18.1894520Z         Default: None
2025-08-14T20:56:18.1894670Z Example:
2025-08-14T20:56:18.1894940Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-08-14T20:56:18.1895350Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-08-14T20:56:18.1895580Z 
2025-08-14T20:56:18.1895700Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-08-14T20:56:18.1895930Z     >>> class MyModule(nn.Module):
2025-08-14T20:56:18.1896120Z     >>>     def __init__(self) -> None:
2025-08-14T20:56:18.1896300Z     >>>        super().__init__()
2025-08-14T20:56:18.1896480Z     >>>        self.fc1 = nn.Linear()
2025-08-14T20:56:18.1896660Z     >>>        self.gelu = nn.GELU()
2025-08-14T20:56:18.1896830Z     >>>        self.fc2 = nn.Linear()
2025-08-14T20:56:18.1897010Z     >>>        self.relu = nn.Linear()
2025-08-14T20:56:18.1897180Z     >>>
2025-08-14T20:56:18.1897290Z     >>>     def forward(self, input):
2025-08-14T20:56:18.1897520Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-08-14T20:56:18.1897700Z 
2025-08-14T20:56:18.1897700Z 
2025-08-14T20:56:18.1897780Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-08-14T20:56:18.1897990Z     >>> sharding_plan = ShardingPlan(
2025-08-14T20:56:18.1898160Z     >>>    plan={
2025-08-14T20:56:18.1898290Z     >>>        "fc1.weight": spec1,
2025-08-14T20:56:18.1898460Z     >>>        "fc2.weight": spec2
2025-08-14T20:56:18.1898620Z     >>>    },
2025-08-14T20:56:18.1898750Z     >>>    output_plan={
2025-08-14T20:56:18.1898900Z     >>>        "fc2": output_spec
2025-08-14T20:56:18.1899050Z     >>>    },
2025-08-14T20:56:18.1899180Z     >>>    return_local_tensor=["fc2"]
2025-08-14T20:56:18.1899350Z     >>> )
2025-08-14T20:56:18.1899420Z 
2025-08-14T20:56:18.1899570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1899780Z 
2025-08-14T20:56:18.1900320Z msg = Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-08-14T20:56:18.1901060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1901280Z 
2025-08-14T20:56:18.1901450Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-08-14T20:56:18.1901820Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-08-14T20:56:18.1902180Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-08-14T20:56:18.1902540Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-08-14T20:56:18.1902920Z when users would like to overwrite default sharding strategies of existing operators.
2025-08-14T20:56:18.1903150Z 
2025-08-14T20:56:18.1903200Z Args:
2025-08-14T20:56:18.1903340Z     op (Union[OpOverload, List[OpOverload]]):
2025-08-14T20:56:18.1903670Z         An op or a list of ops to register the customized sharding function.
2025-08-14T20:56:18.1903870Z 
2025-08-14T20:56:18.1903920Z Returns:
2025-08-14T20:56:18.1904170Z     A function decorator which can be used to wrap a function that defines the sharding
2025-08-14T20:56:18.1909130Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-08-14T20:56:18.1909530Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-08-14T20:56:18.1909940Z     already implemented the operator. The customized sharding function takes the same inputs
2025-08-14T20:56:18.1910330Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-08-14T20:56:18.1910700Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-08-14T20:56:18.1911090Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-08-14T20:56:18.1911380Z     corresponding input placements.
2025-08-14T20:56:18.1911510Z 
2025-08-14T20:56:18.1911630Z Example:
2025-08-14T20:56:18.1911760Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:18.1911970Z     >>> @register_sharding(aten._softmax.default)
2025-08-14T20:56:18.1912210Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-08-14T20:56:18.1912450Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-08-14T20:56:18.1912660Z     >>>     acceptable_shardings = []
2025-08-14T20:56:18.1912830Z     >>>
2025-08-14T20:56:18.1913000Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-08-14T20:56:18.1913260Z     >>>     acceptable_shardings.append(all_replicate)
2025-08-14T20:56:18.1913450Z     >>>
2025-08-14T20:56:18.1913580Z     >>>     for sharding_dim in range(x.ndim):
2025-08-14T20:56:18.1913780Z     >>>         if sharding_dim != softmax_dim:
2025-08-14T20:56:18.1913970Z     >>>             all_sharded = (
2025-08-14T20:56:18.1914150Z     >>>                 [Shard(sharding_dim)],
2025-08-14T20:56:18.1914350Z     >>>                 [Shard(sharding_dim), None, None],
2025-08-14T20:56:18.1914540Z     >>>             )
2025-08-14T20:56:18.1914720Z     >>>             acceptable_shardings.append(all_sharded)
2025-08-14T20:56:18.1914910Z     >>>
2025-08-14T20:56:18.1915030Z     >>>     return acceptable_shardings
2025-08-14T20:56:18.1915160Z 
2025-08-14T20:56:18.1915300Z .. note:: This API is currently experimental and subject to change
2025-08-14T20:56:18.1915480Z 
2025-08-14T20:56:18.1915630Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.1915630Z 
2025-08-14T20:56:18.1916070Z msg = Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-08-14T20:56:18.1916220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.1916220Z 
2025-08-14T20:56:18.1916430Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-08-14T20:56:18.1916600Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-08-14T20:56:18.1916790Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-08-14T20:56:18.1916890Z :class:`DTensor` according to the ``out_placements``.
2025-08-14T20:56:18.1916890Z 
2025-08-14T20:56:18.1916930Z Args:
2025-08-14T20:56:18.1917060Z     func (Callable): the function to be applied on each local shard of
2025-08-14T20:56:18.1917110Z         :class:`DTensor` s.
2025-08-14T20:56:18.1917250Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-08-14T20:56:18.1917400Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-08-14T20:56:18.1917550Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-08-14T20:56:18.1917690Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-08-14T20:56:18.1917850Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-08-14T20:56:18.1917920Z         mapping to the flattened ``output``.
2025-08-14T20:56:18.1918050Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-08-14T20:56:18.1918210Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-08-14T20:56:18.1918260Z         should be `None`.
2025-08-14T20:56:18.1918400Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-08-14T20:56:18.1918530Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-08-14T20:56:18.1918680Z         should ignore the desired placements because the function is not running with
2025-08-14T20:56:18.1918740Z         :class:`DTensor` s.
2025-08-14T20:56:18.1918840Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-08-14T20:56:18.1919000Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-08-14T20:56:18.1919180Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-08-14T20:56:18.1919320Z         placements of each :class:`DTensor` argument is the same as the required
2025-08-14T20:56:18.1919430Z         placements or not. If the placements are not the same and
2025-08-14T20:56:18.1919580Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-08-14T20:56:18.1919720Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-08-14T20:56:18.1919880Z         the required sharding placements before passing its local tensor to ``func``.
2025-08-14T20:56:18.1920010Z         The only exception is when required placements are not ``None`` and the
2025-08-14T20:56:18.1920150Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-08-14T20:56:18.1920290Z         will be skipped and the argument will be directly passed to ``func``.
2025-08-14T20:56:18.1920420Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-08-14T20:56:18.1920480Z         Default: None
2025-08-14T20:56:18.1920590Z     in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-08-14T20:56:18.1920710Z         the placements hint of the :class:`DTensor` s gradient corresponds
2025-08-14T20:56:18.1920840Z         to the flattened input DTensor. This argument is the hint that user
2025-08-14T20:56:18.1920950Z         can give to :meth:`to_local` in case the gradient layout of the
2025-08-14T20:56:18.1921080Z         local tensor input does not match its :class:`DTensor` input layout.
2025-08-14T20:56:18.1921200Z         If not specified, we will assume the gradient layout of the local
2025-08-14T20:56:18.1921330Z         tensor input remains the same as the original :class:`DTensor` input
2025-08-14T20:56:18.1921430Z         and use that for gradient computation. Default: None.
2025-08-14T20:56:18.1921570Z     device_mesh (:class:`DeviceMesh`, optional):
2025-08-14T20:56:18.1921730Z         the device mesh that the output :class:`DTensor` s are placed on. If not
2025-08-14T20:56:18.1921880Z         specified, this will be inferred from the first input :class:`DTensor`'s device
2025-08-14T20:56:18.1921940Z         mesh. Default: None.
2025-08-14T20:56:18.1921940Z 
2025-08-14T20:56:18.1921990Z Keyword Args:
2025-08-14T20:56:18.1922050Z     redistribute_inputs (bool, optional):
2025-08-14T20:56:18.1922200Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-08-14T20:56:18.1922350Z         their placements are different from the required input placements. If this
2025-08-14T20:56:18.1922480Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-08-14T20:56:18.1922560Z         an exception will be raised. Default: False.
2025-08-14T20:56:18.1922570Z 
2025-08-14T20:56:18.1922610Z Returns:
2025-08-14T20:56:18.1922760Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-08-14T20:56:18.1922910Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-08-14T20:56:18.1922920Z 
2025-08-14T20:56:18.1922960Z Raises:
2025-08-14T20:56:18.1923100Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-08-14T20:56:18.1923260Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-08-14T20:56:18.1923320Z         if this is not the case.
2025-08-14T20:56:18.1923320Z 
2025-08-14T20:56:18.1923470Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-08-14T20:56:18.1923570Z         a redistribution according to ``in_placements``.
2025-08-14T20:56:18.1923570Z 
2025-08-14T20:56:18.1923610Z Example:
2025-08-14T20:56:18.1923680Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:18.1923760Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-08-14T20:56:18.1923830Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-08-14T20:56:18.1924000Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-08-14T20:56:18.1924060Z     >>>     return reduced_tensor
2025-08-14T20:56:18.1924100Z     >>>
2025-08-14T20:56:18.1924180Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-08-14T20:56:18.1924250Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-08-14T20:56:18.1924300Z     >>> Y = torch.mm(W, X)
2025-08-14T20:56:18.1924420Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-08-14T20:56:18.1924530Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-08-14T20:56:18.1924570Z     >>>
2025-08-14T20:56:18.1924730Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-08-14T20:56:18.1924810Z     >>> local_mm_allreduce_forward = local_map(
2025-08-14T20:56:18.1924870Z     >>>     mm_allreduce_forward,
2025-08-14T20:56:18.1924930Z     >>>     out_placements=[Replicate()],
2025-08-14T20:56:18.1925010Z     >>>     in_placements=[col_wise, row_wise],
2025-08-14T20:56:18.1925070Z     >>>     device_mesh=device_mesh,
2025-08-14T20:56:18.1925110Z     >>> )
2025-08-14T20:56:18.1925150Z     >>>
2025-08-14T20:56:18.1925210Z     >>> W_dt = distribute_tensor(
2025-08-14T20:56:18.1925260Z     ...     W, device_mesh, (col_wise)
2025-08-14T20:56:18.1925330Z     ... )  # col-wisely sharded W tensor
2025-08-14T20:56:18.1925380Z     >>> X_dt = distribute_tensor(
2025-08-14T20:56:18.1925440Z     ...     X, device_mesh, (row_wise)
2025-08-14T20:56:18.1925500Z     ... )  # row-wisely sharded X tensor
2025-08-14T20:56:18.1925560Z     >>> Y_dt = local_mm_allreduce_forward(
2025-08-14T20:56:18.1925620Z     ...     device_mesh, W_dt, X_dt
2025-08-14T20:56:18.1925710Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-08-14T20:56:18.1925710Z 
2025-08-14T20:56:18.1925820Z .. note:: This API is currently experimental and subject to change
2025-08-14T20:56:18.1925870Z 
2025-08-14T20:56:18.1926030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.2245210Z 
2025-08-14T20:56:18.2245840Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-08-14T20:56:18.2246040Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.2246040Z 
2025-08-14T20:56:18.2246280Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-08-14T20:56:18.2246470Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-08-14T20:56:18.2246480Z 
2025-08-14T20:56:18.2246530Z Keyword Args:
2025-08-14T20:56:18.2246650Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:18.2246870Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-14T20:56:18.2247090Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-14T20:56:18.2247160Z         as a placeholder. default: None.
2025-08-14T20:56:18.2247300Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:18.2247530Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:18.2247770Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-14T20:56:18.2247850Z     input_kwarg_layouts (Dict[str, Placement]):
2025-08-14T20:56:18.2248080Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-14T20:56:18.2248130Z         default: None
2025-08-14T20:56:18.2248240Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-14T20:56:18.2248560Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:18.2248650Z         have the desired DTensor layouts. default: None.
2025-08-14T20:56:18.2248720Z     use_local_output (bool, optional):
2025-08-14T20:56:18.2248940Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-14T20:56:18.2248980Z Returns:
2025-08-14T20:56:18.2249180Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-08-14T20:56:18.2249180Z 
2025-08-14T20:56:18.2249240Z Example::
2025-08-14T20:56:18.2249300Z     >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:18.2249490Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-08-14T20:56:18.2249610Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:18.2249660Z     >>> ...
2025-08-14T20:56:18.2249850Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:18.2249930Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:18.2249970Z     >>>
2025-08-14T20:56:18.2250180Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-08-14T20:56:18.2250270Z     >>> # and then redistributed to Replicated DTensor.
2025-08-14T20:56:18.2250320Z     >>> parallelize_module(
2025-08-14T20:56:18.2250410Z     >>>     block, # this can be a submodule or module
2025-08-14T20:56:18.2250450Z     >>>     tp_mesh,
2025-08-14T20:56:18.2250510Z     >>>     parallelize_plan={
2025-08-14T20:56:18.2250580Z     >>>         "attn": PrepareModuleInput(
2025-08-14T20:56:18.2250670Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-14T20:56:18.2250770Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-08-14T20:56:18.2250940Z     >>>         ),
2025-08-14T20:56:18.2250980Z     >>>     }
2025-08-14T20:56:18.2251100Z     >>> )
2025-08-14T20:56:18.2251100Z 
2025-08-14T20:56:18.2251250Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.2251250Z 
2025-08-14T20:56:18.2251690Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-08-14T20:56:18.2251860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.2251860Z 
2025-08-14T20:56:18.2252090Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-08-14T20:56:18.2252290Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-08-14T20:56:18.2252290Z 
2025-08-14T20:56:18.2252330Z Keyword Args:
2025-08-14T20:56:18.2252430Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:18.2252640Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-14T20:56:18.2252860Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-14T20:56:18.2252950Z         ``None`` need to be specified as a placeholder.
2025-08-14T20:56:18.2253070Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:18.2253290Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-14T20:56:18.2253360Z         have the desired DTensor layouts.
2025-08-14T20:56:18.2253430Z     use_local_output (bool, optional):
2025-08-14T20:56:18.2253640Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-14T20:56:18.2253680Z Returns:
2025-08-14T20:56:18.2253860Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-08-14T20:56:18.2253930Z 
2025-08-14T20:56:18.2253970Z Example::
2025-08-14T20:56:18.2254040Z     >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:18.2254220Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-08-14T20:56:18.2254350Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:18.2254390Z     >>> ...
2025-08-14T20:56:18.2254570Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:18.2254650Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:18.2254690Z     >>>
2025-08-14T20:56:18.2254920Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-08-14T20:56:18.2255010Z     >>> # and then redistributed to Sharded DTensor.
2025-08-14T20:56:18.2255060Z     >>> parallelize_module(
2025-08-14T20:56:18.2255150Z     >>>     block, # this can be a submodule or module
2025-08-14T20:56:18.2255190Z     >>>     tp_mesh,
2025-08-14T20:56:18.2255280Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-08-14T20:56:18.2255340Z     >>>         output_layouts=Replicate(),
2025-08-14T20:56:18.2255410Z     >>>         desired_output_layouts=Shard(0)
2025-08-14T20:56:18.2255450Z     >>>     )
2025-08-14T20:56:18.2255490Z     >>> )
2025-08-14T20:56:18.2255500Z 
2025-08-14T20:56:18.2255650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.2255650Z 
2025-08-14T20:56:18.2256110Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-08-14T20:56:18.2256270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.2256270Z 
2025-08-14T20:56:18.2256570Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-08-14T20:56:18.2256840Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-08-14T20:56:18.2257070Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-08-14T20:56:18.2257190Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-08-14T20:56:18.2257200Z 
2025-08-14T20:56:18.2257240Z Keyword Args:
2025-08-14T20:56:18.2257370Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:18.2257560Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-14T20:56:18.2257770Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-14T20:56:18.2257840Z         as a placeholder. default: None.
2025-08-14T20:56:18.2257980Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:18.2258200Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:18.2258430Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-14T20:56:18.2258510Z     input_kwarg_layouts (Dict[str, Placement]):
2025-08-14T20:56:18.2258730Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-14T20:56:18.2258770Z         default: None
2025-08-14T20:56:18.2258870Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-14T20:56:18.2259080Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:18.2259180Z         have the desired DTensor layouts. default: None.
2025-08-14T20:56:18.2259270Z     use_local_input (bool, optional):
2025-08-14T20:56:18.2259480Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-14T20:56:18.2259580Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:18.2259780Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-14T20:56:18.2260010Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-14T20:56:18.2260090Z         ``None`` need to be specified as a placeholder.
2025-08-14T20:56:18.2260210Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:18.2260430Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-14T20:56:18.2260490Z         have the desired DTensor layouts.
2025-08-14T20:56:18.2260560Z     use_local_output (bool, optional):
2025-08-14T20:56:18.2260780Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-14T20:56:18.2260820Z Returns:
2025-08-14T20:56:18.2261040Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-08-14T20:56:18.2261040Z 
2025-08-14T20:56:18.2261080Z Example::
2025-08-14T20:56:18.2261140Z     >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:18.2261340Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-08-14T20:56:18.2261460Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:18.2261500Z     >>> ...
2025-08-14T20:56:18.2261680Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:18.2261750Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:18.2261880Z     >>>
2025-08-14T20:56:18.2262080Z     >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-08-14T20:56:18.2262330Z     >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-08-14T20:56:18.2262450Z     >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-08-14T20:56:18.2262510Z     >>> parallelize_module(
2025-08-14T20:56:18.2262590Z     >>>     block, # this can be a submodule or module
2025-08-14T20:56:18.2262640Z     >>>     tp_mesh,
2025-08-14T20:56:18.2262690Z     >>>     parallelize_plan={
2025-08-14T20:56:18.2262770Z     >>>         "attn": PrepareModuleInputOutput(
2025-08-14T20:56:18.2262850Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-14T20:56:18.2262960Z     >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-08-14T20:56:18.2263030Z     >>>             output_layouts=Replicate(),
2025-08-14T20:56:18.2263100Z     >>>             desired_output_layouts=Shard(0),
2025-08-14T20:56:18.2263160Z     >>>         ),
2025-08-14T20:56:18.2263200Z     >>>     }
2025-08-14T20:56:18.2263240Z     >>> )
2025-08-14T20:56:18.2263240Z 
2025-08-14T20:56:18.2263390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.4098060Z 
2025-08-14T20:56:18.4098610Z msg = Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-08-14T20:56:18.4098820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.4098830Z 
2025-08-14T20:56:18.4098980Z A decorator for a function indicating that the return value of the function
2025-08-14T20:56:18.4099110Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-08-14T20:56:18.4099260Z function can run asynchronously on the RPC callee. More specifically, the
2025-08-14T20:56:18.4099420Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-08-14T20:56:18.4099730Z function and installs subsequent processing steps as a callback to that
2025-08-14T20:56:18.4099870Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-08-14T20:56:18.4100000Z from the :class:`~torch.futures.Future` when completed and send the
2025-08-14T20:56:18.4100110Z value back as the RPC response. That also means the returned
2025-08-14T20:56:18.4100260Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-08-14T20:56:18.4100390Z sent through RPC. This decorator is useful when the wrapped function's
2025-08-14T20:56:18.4100520Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-08-14T20:56:18.4100660Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-08-14T20:56:18.4100660Z 
2025-08-14T20:56:18.4100800Z .. note:: To enable asynchronous execution, applications must pass the
2025-08-14T20:56:18.4100950Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-08-14T20:56:18.4101090Z     attributes installed by this decorator, it knows that this function
2025-08-14T20:56:18.4101210Z     returns a ``Future`` object and will handle that accordingly.
2025-08-14T20:56:18.4101340Z     However, this does not mean this decorator has to be outmost one when
2025-08-14T20:56:18.4101480Z     defining a function. For example, when combined with ``@staticmethod``
2025-08-14T20:56:18.4101610Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-08-14T20:56:18.4101740Z     inner decorator to allow the target function be recognized as a static
2025-08-14T20:56:18.4101880Z     or class function. This target function can still execute asynchronously
2025-08-14T20:56:18.4102030Z     because, when accessed, the static or class method preserves attributes
2025-08-14T20:56:18.4102120Z     installed by ``@rpc.functions.async_execution``.
2025-08-14T20:56:18.4102250Z 
2025-08-14T20:56:18.4102250Z 
2025-08-14T20:56:18.4102310Z Example::
2025-08-14T20:56:18.4102490Z     The returned :class:`~torch.futures.Future` object can come from
2025-08-14T20:56:18.4102570Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-08-14T20:56:18.4102710Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-08-14T20:56:18.4102820Z     constructor. The example below shows directly using the
2025-08-14T20:56:18.4102900Z     :class:`~torch.futures.Future` returned by
2025-08-14T20:56:18.4102970Z     :meth:`~torch.futures.Future.then`.
2025-08-14T20:56:18.4102970Z 
2025-08-14T20:56:18.4103040Z     >>> from torch.distributed import rpc
2025-08-14T20:56:18.4103090Z     >>>
2025-08-14T20:56:18.4103150Z     >>> # omitting setup and shutdown RPC
2025-08-14T20:56:18.4103190Z     >>>
2025-08-14T20:56:18.4103240Z     >>> # On all workers
2025-08-14T20:56:18.4103310Z     >>> @rpc.functions.async_execution
2025-08-14T20:56:18.4103380Z     >>> def async_add_chained(to, x, y, z):
2025-08-14T20:56:18.4103500Z     >>>     # This function runs on "worker1" and returns immediately when
2025-08-14T20:56:18.4103620Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-08-14T20:56:18.4103730Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-08-14T20:56:18.4103840Z     >>>     # When the return value of that `rpc_async` arrives at
2025-08-14T20:56:18.4103950Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-08-14T20:56:18.4104060Z     >>>     # and set the value for the previously returned `Future`, which
2025-08-14T20:56:18.4104170Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-08-14T20:56:18.4104270Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:18.4104340Z     >>>         lambda fut: fut.wait() + z
2025-08-14T20:56:18.4104380Z     >>>     )
2025-08-14T20:56:18.4104420Z     >>>
2025-08-14T20:56:18.4104460Z     >>> # On worker0
2025-08-14T20:56:18.4104510Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.4104610Z     >>> ret = rpc.rpc_sync(
2025-08-14T20:56:18.4104660Z     >>>     "worker1",
2025-08-14T20:56:18.4104710Z     >>>     async_add_chained,
2025-08-14T20:56:18.4104780Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-08-14T20:56:18.4104820Z     >>> )
2025-08-14T20:56:18.4104900Z     >>> print(ret)  # prints tensor([3., 3.])
2025-08-14T20:56:18.4104900Z 
2025-08-14T20:56:18.4105030Z     When combined with TorchScript decorators, this decorator must be the
2025-08-14T20:56:18.4105080Z     outmost one.
2025-08-14T20:56:18.4105080Z 
2025-08-14T20:56:18.4105140Z     >>> from torch import Tensor
2025-08-14T20:56:18.4105200Z     >>> from torch.futures import Future
2025-08-14T20:56:18.4105260Z     >>> from torch.distributed import rpc
2025-08-14T20:56:18.4105300Z     >>>
2025-08-14T20:56:18.4105360Z     >>> # omitting setup and shutdown RPC
2025-08-14T20:56:18.4105400Z     >>>
2025-08-14T20:56:18.4105450Z     >>> # On all workers
2025-08-14T20:56:18.4105510Z     >>> @torch.jit.script
2025-08-14T20:56:18.4105600Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T20:56:18.4105640Z     >>>     return x + y
2025-08-14T20:56:18.4105690Z     >>>
2025-08-14T20:56:18.4105750Z     >>> @rpc.functions.async_execution
2025-08-14T20:56:18.4105800Z     >>> @torch.jit.script
2025-08-14T20:56:18.4105920Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-08-14T20:56:18.4106010Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-08-14T20:56:18.4106050Z     >>>
2025-08-14T20:56:18.4106090Z     >>> # On worker0
2025-08-14T20:56:18.4106140Z     >>> ret = rpc.rpc_sync(
2025-08-14T20:56:18.4106190Z     >>>     "worker1",
2025-08-14T20:56:18.4106240Z     >>>     async_add,
2025-08-14T20:56:18.4106310Z     >>>     args=("worker2", torch.ones(2), 1)
2025-08-14T20:56:18.4106350Z     >>> )
2025-08-14T20:56:18.4106410Z     >>> print(ret)  # prints tensor([2., 2.])
2025-08-14T20:56:18.4106420Z 
2025-08-14T20:56:18.4106620Z     When combined with static or class method, this decorator must be the
2025-08-14T20:56:18.4106700Z     inner one.
2025-08-14T20:56:18.4106700Z 
2025-08-14T20:56:18.4106770Z     >>> from torch.distributed import rpc
2025-08-14T20:56:18.4106810Z     >>>
2025-08-14T20:56:18.4106880Z     >>> # omitting setup and shutdown RPC
2025-08-14T20:56:18.4106920Z     >>>
2025-08-14T20:56:18.4106960Z     >>> # On all workers
2025-08-14T20:56:18.4107020Z     >>> class AsyncExecutionClass:
2025-08-14T20:56:18.4107060Z     >>>
2025-08-14T20:56:18.4107110Z     >>>     @staticmethod
2025-08-14T20:56:18.4107180Z     >>>     @rpc.functions.async_execution
2025-08-14T20:56:18.4107240Z     >>>     def static_async_add(to, x, y, z):
2025-08-14T20:56:18.4107340Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:18.4107410Z     >>>             lambda fut: fut.wait() + z
2025-08-14T20:56:18.4107450Z     >>>         )
2025-08-14T20:56:18.4107500Z     >>>
2025-08-14T20:56:18.4107550Z     >>>     @classmethod
2025-08-14T20:56:18.4107610Z     >>>     @rpc.functions.async_execution
2025-08-14T20:56:18.4107690Z     >>>     def class_async_add(cls, to, x, y, z):
2025-08-14T20:56:18.4107760Z     >>>         ret_fut = torch.futures.Future()
2025-08-14T20:56:18.4107850Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:18.4107940Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-08-14T20:56:18.4107990Z     >>>         )
2025-08-14T20:56:18.4108040Z     >>>         return ret_fut
2025-08-14T20:56:18.4108080Z     >>>
2025-08-14T20:56:18.4108140Z     >>>     @rpc.functions.async_execution
2025-08-14T20:56:18.4108210Z     >>>     def bound_async_add(self, to, x, y, z):
2025-08-14T20:56:18.4108310Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:18.4108380Z     >>>             lambda fut: fut.wait() + z
2025-08-14T20:56:18.4108430Z     >>>         )
2025-08-14T20:56:18.4108470Z     >>>
2025-08-14T20:56:18.4108510Z     >>> # On worker0
2025-08-14T20:56:18.4108640Z     >>> ret = rpc.rpc_sync(
2025-08-14T20:56:18.4108680Z     >>>     "worker1",
2025-08-14T20:56:18.4108760Z     >>>     AsyncExecutionClass.static_async_add,
2025-08-14T20:56:18.4108830Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:18.4108870Z     >>> )
2025-08-14T20:56:18.4108940Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:18.4108980Z     >>>
2025-08-14T20:56:18.4109030Z     >>> ret = rpc.rpc_sync(
2025-08-14T20:56:18.4109070Z     >>>     "worker1",
2025-08-14T20:56:18.4109150Z     >>>     AsyncExecutionClass.class_async_add,
2025-08-14T20:56:18.4109210Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:18.4109260Z     >>> )
2025-08-14T20:56:18.4109320Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:18.4109330Z 
2025-08-14T20:56:18.4109420Z     This decorator also works with RRef helpers, i.e., .
2025-08-14T20:56:18.4109500Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-08-14T20:56:18.4109600Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-08-14T20:56:18.4109680Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-08-14T20:56:18.4109690Z 
2025-08-14T20:56:18.4109750Z     >>> from torch.distributed import rpc
2025-08-14T20:56:18.4109800Z     >>>
2025-08-14T20:56:18.4109870Z     >>> # reuse the AsyncExecutionClass class above
2025-08-14T20:56:18.4109970Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:18.4110100Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:18.4110170Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:18.4110210Z     >>>
2025-08-14T20:56:18.4110300Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:18.4110440Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-08-14T20:56:18.4110510Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:18.4110550Z     >>>
2025-08-14T20:56:18.4110700Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:18.4110860Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-08-14T20:56:18.4110940Z     >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:18.4110940Z 
2025-08-14T20:56:18.4111090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.4111090Z 
2025-08-14T20:56:18.4111570Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-08-14T20:56:18.4111730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.4111730Z 
2025-08-14T20:56:18.4111860Z Set device mapping between each RPC caller and callee pair. This
2025-08-14T20:56:18.4111970Z function can be called multiple times to incrementally add
2025-08-14T20:56:18.4112030Z device placement configurations.
2025-08-14T20:56:18.4112040Z 
2025-08-14T20:56:18.4112080Z Args:
2025-08-14T20:56:18.4112130Z     to (str): Callee name.
2025-08-14T20:56:18.4112250Z     device_map (Dict of int, str, or torch.device): Device placement
2025-08-14T20:56:18.4112360Z         mappings from this worker to the callee. This map must be
2025-08-14T20:56:18.4112420Z         invertible.
2025-08-14T20:56:18.4112420Z 
2025-08-14T20:56:18.4112460Z Example:
2025-08-14T20:56:18.4112520Z     >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:18.4112570Z     >>> # both workers
2025-08-14T20:56:18.4112620Z     >>> def add(x, y):
2025-08-14T20:56:18.4112700Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-08-14T20:56:18.4112760Z     >>>     return x + y, (x + y).to(2)
2025-08-14T20:56:18.4112800Z     >>>
2025-08-14T20:56:18.4112850Z     >>> # on worker 0
2025-08-14T20:56:18.4112920Z     >>> options = TensorPipeRpcBackendOptions(
2025-08-14T20:56:18.4112980Z     >>>     num_worker_threads=8,
2025-08-14T20:56:18.4113050Z     >>>     device_maps={"worker1": {0: 1}}
2025-08-14T20:56:18.4113170Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-08-14T20:56:18.4113220Z     >>> )
2025-08-14T20:56:18.4113290Z     >>> options.set_device_map("worker1", {1: 2})
2025-08-14T20:56:18.4113370Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-08-14T20:56:18.4113410Z     >>>
2025-08-14T20:56:18.4113460Z     >>> rpc.init_rpc(
2025-08-14T20:56:18.4113510Z     >>>     "worker0",
2025-08-14T20:56:18.4113550Z     >>>     rank=0,
2025-08-14T20:56:18.4113600Z     >>>     world_size=2,
2025-08-14T20:56:18.4113670Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-08-14T20:56:18.4113730Z     >>>     rpc_backend_options=options
2025-08-14T20:56:18.4113770Z     >>> )
2025-08-14T20:56:18.4113810Z     >>>
2025-08-14T20:56:18.4113860Z     >>> x = torch.ones(2)
2025-08-14T20:56:18.4113960Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-08-14T20:56:18.4114070Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-08-14T20:56:18.4114190Z     >>> # sending the return value back, it will follow the invert of
2025-08-14T20:56:18.4114300Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-08-14T20:56:18.4114350Z     >>> # cuda:1 on worker0
2025-08-14T20:56:18.4114440Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-08-14T20:56:18.4114530Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-08-14T20:56:18.4114530Z 
2025-08-14T20:56:18.4114680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.5968370Z 
2025-08-14T20:56:18.5969100Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-08-14T20:56:18.5969280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.5969280Z 
2025-08-14T20:56:18.5969610Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-08-14T20:56:18.5969860Z except that it enables profiling on all threads running RPC server request callbacks.
2025-08-14T20:56:18.5969860Z 
2025-08-14T20:56:18.5970040Z Context manager that manages autograd profiler state and holds a summary of results.
2025-08-14T20:56:18.5970180Z Under the hood it just records events of functions being executed in C++ and
2025-08-14T20:56:18.5970330Z exposes those events to Python. You can wrap any code into it and it will
2025-08-14T20:56:18.5970400Z only report runtime of PyTorch functions.
2025-08-14T20:56:18.5970570Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-08-14T20:56:18.5970570Z 
2025-08-14T20:56:18.5970620Z Args:
2025-08-14T20:56:18.5970790Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-08-14T20:56:18.5970840Z         Default: ``True``.
2025-08-14T20:56:18.5970850Z 
2025-08-14T20:56:18.5971030Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-08-14T20:56:18.5971160Z         Adds approximately 4us of overhead to each tensor operation.
2025-08-14T20:56:18.5971220Z         Default: ``False``
2025-08-14T20:56:18.5971220Z 
2025-08-14T20:56:18.5971360Z     record_shapes (bool, optional): If shapes recording is set, information
2025-08-14T20:56:18.5971510Z         about input dimensions will be collected. This allows one to see which
2025-08-14T20:56:18.5971640Z         dimensions have been used under the hood and further group by them
2025-08-14T20:56:18.5971780Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-08-14T20:56:18.5971920Z         shape recording might skew your profiling data. It is recommended to
2025-08-14T20:56:18.5972070Z         use separate runs with and without shape recording to validate the timing.
2025-08-14T20:56:18.5972220Z         Most likely the skew will be negligible for bottom most events (in a case
2025-08-14T20:56:18.5972420Z         of nested function calls). But for higher level functions the total
2025-08-14T20:56:18.5972580Z         self cpu time might be artificially increased because of the shape
2025-08-14T20:56:18.5972630Z         collection.
2025-08-14T20:56:18.5972630Z 
2025-08-14T20:56:18.5972800Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-08-14T20:56:18.5972800Z 
2025-08-14T20:56:18.5972860Z .. warning::
2025-08-14T20:56:18.5972990Z     Enabling memory profiling incurs additional profiler overhead
2025-08-14T20:56:18.5972990Z 
2025-08-14T20:56:18.5973040Z .. warning::
2025-08-14T20:56:18.5973280Z     Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-08-14T20:56:18.5973420Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-08-14T20:56:18.5973560Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-08-14T20:56:18.5973690Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-08-14T20:56:18.5973690Z 
2025-08-14T20:56:18.5973750Z Example:
2025-08-14T20:56:18.5977840Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:18.5977900Z     >>> # On worker 0:
2025-08-14T20:56:18.5977960Z     >>> import torch
2025-08-14T20:56:18.5978030Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:18.5978120Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:18.5978200Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-08-14T20:56:18.5978260Z     >>> outer_profile_rref = rpc.remote(
2025-08-14T20:56:18.5978370Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-08-14T20:56:18.5978410Z     ... )
2025-08-14T20:56:18.5978490Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-08-14T20:56:18.5978590Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-08-14T20:56:18.5978650Z     >>> inner_profile_rref = rpc.remote(
2025-08-14T20:56:18.5978840Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-08-14T20:56:18.5978890Z     ... )
2025-08-14T20:56:18.5978960Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-08-14T20:56:18.5979070Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-08-14T20:56:18.5979180Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-14T20:56:18.5979280Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-14T20:56:18.5979380Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-08-14T20:56:18.5979540Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5979720Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-14T20:56:18.5979870Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5979990Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-08-14T20:56:18.5980120Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-08-14T20:56:18.5980270Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5980330Z     Self CPU time total: 89.667us
2025-08-14T20:56:18.5980420Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-08-14T20:56:18.5980560Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5980750Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-14T20:56:18.5980900Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5981010Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-08-14T20:56:18.5981130Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-08-14T20:56:18.5981280Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-08-14T20:56:18.5981430Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5981490Z     Self CPU time total: 213.926us
2025-08-14T20:56:18.5981540Z     >>> rpc.shutdown()
2025-08-14T20:56:18.5981540Z 
2025-08-14T20:56:18.5981590Z     >>> # On worker 1:
2025-08-14T20:56:18.5981670Z     >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:18.5981760Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:18.5981850Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-08-14T20:56:18.5981900Z     >>> rpc.shutdown()
2025-08-14T20:56:18.5981900Z 
2025-08-14T20:56:18.5982060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.5982070Z 
2025-08-14T20:56:18.5982460Z msg = Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-08-14T20:56:18.5982630Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.5982860Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-08-14T20:56:18.5982980Z     Label will only appear if CPU activity tracing is enabled.
2025-08-14T20:56:18.5982980Z 
2025-08-14T20:56:18.5983060Z     It is useful when tracing the code profile.
2025-08-14T20:56:18.5983060Z 
2025-08-14T20:56:18.5983110Z     Args:
2025-08-14T20:56:18.5983190Z         name (str): Label assigned to the block of code.
2025-08-14T20:56:18.5983310Z         node_id (int): ID of node, for distributed profiling. Unset in
2025-08-14T20:56:18.5983360Z         non-distributed cases.
2025-08-14T20:56:18.5983420Z 
2025-08-14T20:56:18.5983470Z     Example:
2025-08-14T20:56:18.5983640Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-08-14T20:56:18.5983720Z         >>> x = torch.randn((1, 1), requires_grad=True)
2025-08-14T20:56:18.5983820Z         >>> with torch.autograd.profiler.profile() as prof:
2025-08-14T20:56:18.5983870Z         ...     y = x**2
2025-08-14T20:56:18.5983970Z         ...     with torch.autograd.profiler.record_function(
2025-08-14T20:56:18.5984020Z         ...         "label-z"
2025-08-14T20:56:18.5984080Z         ...     ):  # label the block
2025-08-14T20:56:18.5984130Z         ...         z = y**3
2025-08-14T20:56:18.5984190Z         ...     y.backward()
2025-08-14T20:56:18.5984240Z         >>> # xdoctest: +IGNORE_WANT
2025-08-14T20:56:18.5984330Z         >>> # NOTE: some columns were removed for brevity
2025-08-14T20:56:18.5984450Z         >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-08-14T20:56:18.5984580Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5984700Z         Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-08-14T20:56:18.5984820Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5984910Z         pow                                  60.77%           47.470us         3
2025-08-14T20:56:18.5984990Z         mul                                  21.73%           25.465us         2
2025-08-14T20:56:18.5985090Z         PowBackward0                         12.03%           121.891us        1
2025-08-14T20:56:18.5985230Z         torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-08-14T20:56:18.5985320Z         label-z                              2.13%            12.421us         1
2025-08-14T20:56:18.5985440Z         torch::autograd::GraphRoot           0.64%            1.503us          1
2025-08-14T20:56:18.5985560Z         -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:18.5985660Z         Self CPU time total: 234.344us
2025-08-14T20:56:18.5985720Z         CUDA time total: 0.000us
2025-08-14T20:56:18.5985730Z 
2025-08-14T20:56:18.5985770Z     
2025-08-14T20:56:18.5985920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.5985920Z 
2025-08-14T20:56:18.5986370Z msg = Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-08-14T20:56:18.5986530Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.5986640Z Return a new dict with new, potentially nested, key value pair
2025-08-14T20:56:18.5986640Z 
2025-08-14T20:56:18.5986690Z     >>> purchase = {
2025-08-14T20:56:18.5986740Z     ...     "name": "Alice",
2025-08-14T20:56:18.5986860Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:18.5986930Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:18.5986970Z     ... }
2025-08-14T20:56:18.5987100Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-08-14T20:56:18.5987160Z     {'credit card': '5555-1234-1234-1234',
2025-08-14T20:56:18.5987210Z      'name': 'Alice',
2025-08-14T20:56:18.5987310Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-08-14T20:56:18.5987350Z     
2025-08-14T20:56:18.5987500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.5987510Z 
2025-08-14T20:56:18.5987950Z msg = Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-08-14T20:56:18.5988110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.5988230Z Update value in a (potentially) nested dictionary
2025-08-14T20:56:18.5988260Z 
2025-08-14T20:56:18.5988310Z     inputs:
2025-08-14T20:56:18.5988380Z     d - dictionary on which to operate
2025-08-14T20:56:18.5988510Z     keys - list or tuple giving the location of the value to be changed in d
2025-08-14T20:56:18.5988580Z     func - function to operate on that value
2025-08-14T20:56:18.5988580Z 
2025-08-14T20:56:18.5988710Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-08-14T20:56:18.5988840Z     original dictionary with v replaced by func(v), but does not mutate the
2025-08-14T20:56:18.5988900Z     original dictionary.
2025-08-14T20:56:18.5988900Z 
2025-08-14T20:56:18.5989030Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-08-14T20:56:18.5989160Z     specified by the keys, with the innermost value set to func(default).
2025-08-14T20:56:18.5989160Z 
2025-08-14T20:56:18.5989220Z     >>> inc = lambda x: x + 1
2025-08-14T20:56:18.5989280Z     >>> update_in({"a": 0}, ["a"], inc)
2025-08-14T20:56:18.5989320Z     {'a': 1}
2025-08-14T20:56:18.5989330Z 
2025-08-14T20:56:18.5989370Z     >>> transaction = {
2025-08-14T20:56:18.5989430Z     ...     "name": "Alice",
2025-08-14T20:56:18.5989550Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:18.5989620Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:18.5989660Z     ... }
2025-08-14T20:56:18.5989790Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-08-14T20:56:18.5989850Z     {'credit card': '5555-1234-1234-1234',
2025-08-14T20:56:18.5989900Z      'name': 'Alice',
2025-08-14T20:56:18.5990000Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-08-14T20:56:18.5990000Z 
2025-08-14T20:56:18.5990070Z     >>> # updating a value when k0 is not in d
2025-08-14T20:56:18.5990150Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-08-14T20:56:18.5990200Z     {1: {2: {3: 'bar'}}}
2025-08-14T20:56:18.5990300Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-08-14T20:56:18.5990360Z     {1: 'foo', 2: {3: {4: 1}}}
2025-08-14T20:56:18.5990400Z     
2025-08-14T20:56:18.5990550Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.6132950Z 
2025-08-14T20:56:18.6133540Z msg = Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-08-14T20:56:18.6134260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.6134600Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-08-14T20:56:18.6134770Z 
2025-08-14T20:56:18.6134890Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-08-14T20:56:18.6135210Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-08-14T20:56:18.6135400Z 
2025-08-14T20:56:18.6135550Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-08-14T20:56:18.6135840Z     structures such as dictionaries and lists.
2025-08-14T20:56:18.6135980Z 
2025-08-14T20:56:18.6136040Z     >>> transaction = {
2025-08-14T20:56:18.6136190Z     ...     "name": "Alice",
2025-08-14T20:56:18.6136430Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:18.6136700Z     ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:18.6136900Z     ... }
2025-08-14T20:56:18.6137050Z     >>> get_in(["purchase", "items", 0], transaction)
2025-08-14T20:56:18.6137250Z     'Apple'
2025-08-14T20:56:18.6137400Z     >>> get_in(["name"], transaction)
2025-08-14T20:56:18.6137570Z     'Alice'
2025-08-14T20:56:18.6137720Z     >>> get_in(["purchase", "total"], transaction)
2025-08-14T20:56:18.6137970Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-08-14T20:56:18.6138220Z     >>> get_in(["purchase", "items", 10], transaction)
2025-08-14T20:56:18.6138730Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-08-14T20:56:18.6138980Z     0
2025-08-14T20:56:18.6139120Z     >>> get_in(["y"], {}, no_default=True)
2025-08-14T20:56:18.6139320Z     Traceback (most recent call last):
2025-08-14T20:56:18.6139500Z         ...
2025-08-14T20:56:18.6139620Z     KeyError: 'y'
2025-08-14T20:56:18.6139710Z 
2025-08-14T20:56:18.6139760Z     See Also:
2025-08-14T20:56:18.6139880Z         itertoolz.get
2025-08-14T20:56:18.6140030Z         operator.getitem
2025-08-14T20:56:18.6140180Z     
2025-08-14T20:56:18.6140410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.6140640Z 
2025-08-14T20:56:18.6141100Z msg = Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-08-14T20:56:18.6141800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.6142100Z Group a collection by a key function
2025-08-14T20:56:18.6142230Z 
2025-08-14T20:56:18.6142340Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-08-14T20:56:18.6142590Z     >>> groupby(len, names)  # doctest: +SKIP
2025-08-14T20:56:18.6142850Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-08-14T20:56:18.6143020Z 
2025-08-14T20:56:18.6143090Z     >>> iseven = lambda x: x % 2 == 0
2025-08-14T20:56:18.6143330Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-08-14T20:56:18.6143580Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-08-14T20:56:18.6143720Z 
2025-08-14T20:56:18.6143800Z     Non-callable keys imply grouping on a member.
2025-08-14T20:56:18.6143960Z 
2025-08-14T20:56:18.6144010Z     >>> groupby(
2025-08-14T20:56:18.6144140Z     ...     "gender",
2025-08-14T20:56:18.6144280Z     ...     [
2025-08-14T20:56:18.6144420Z     ...         {"name": "Alice", "gender": "F"},
2025-08-14T20:56:18.6144640Z     ...         {"name": "Bob", "gender": "M"},
2025-08-14T20:56:18.6144910Z     ...         {"name": "Charlie", "gender": "M"},
2025-08-14T20:56:18.6145100Z     ...     ],
2025-08-14T20:56:18.6145240Z     ... )  # doctest:+SKIP
2025-08-14T20:56:18.6145410Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-08-14T20:56:18.6145620Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-08-14T20:56:18.6145820Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-08-14T20:56:18.6145960Z 
2025-08-14T20:56:18.6146050Z     Not to be confused with ``itertools.groupby``
2025-08-14T20:56:18.6146210Z 
2025-08-14T20:56:18.6146260Z     See Also:
2025-08-14T20:56:18.6146380Z         countby
2025-08-14T20:56:18.6146510Z     
2025-08-14T20:56:18.6146730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.6146950Z 
2025-08-14T20:56:18.6147350Z msg = Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-08-14T20:56:18.6147970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.6148390Z Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-08-14T20:56:18.6148660Z 
2025-08-14T20:56:18.6148880Z     Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-08-14T20:56:18.6149290Z     intervals by which each scheduler should be called at a given epoch.
2025-08-14T20:56:18.6149490Z 
2025-08-14T20:56:18.6149530Z     Args:
2025-08-14T20:56:18.6149670Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:18.6149900Z         schedulers (list): List of chained schedulers.
2025-08-14T20:56:18.6150190Z         milestones (list): List of integers that reflects milestone points.
2025-08-14T20:56:18.6150490Z         last_epoch (int): The index of last epoch. Default: -1.
2025-08-14T20:56:18.6150660Z 
2025-08-14T20:56:18.6150750Z     Example:
2025-08-14T20:56:18.6150890Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:18.6151110Z         >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-08-14T20:56:18.6151330Z         >>> # lr = 0.005     if epoch == 0
2025-08-14T20:56:18.6151520Z         >>> # lr = 0.005     if epoch == 1
2025-08-14T20:56:18.6151700Z         >>> # lr = 0.005     if epoch == 2
2025-08-14T20:56:18.6151870Z         >>> # ...
2025-08-14T20:56:18.6152000Z         >>> # lr = 0.05      if epoch == 20
2025-08-14T20:56:18.6152180Z         >>> # lr = 0.045     if epoch == 21
2025-08-14T20:56:18.6152370Z         >>> # lr = 0.0405    if epoch == 22
2025-08-14T20:56:18.6152620Z         >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-08-14T20:56:18.6152900Z         >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-08-14T20:56:18.6153140Z         >>> scheduler = SequentialLR(
2025-08-14T20:56:18.6153320Z         ...     optimizer,
2025-08-14T20:56:18.6153500Z         ...     schedulers=[scheduler1, scheduler2],
2025-08-14T20:56:18.6153710Z         ...     milestones=[20],
2025-08-14T20:56:18.6153860Z         ... )
2025-08-14T20:56:18.6153990Z         >>> for epoch in range(100):
2025-08-14T20:56:18.6154150Z         >>>     train(...)
2025-08-14T20:56:18.6154310Z         >>>     validate(...)
2025-08-14T20:56:18.6154480Z         >>>     scheduler.step()
2025-08-14T20:56:18.6154590Z 
2025-08-14T20:56:18.6154700Z     .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-08-14T20:56:18.6154910Z     
2025-08-14T20:56:18.6155120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:18.6155340Z 
2025-08-14T20:56:18.6155750Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-08-14T20:56:18.6156360Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:18.6156690Z Reduce learning rate when a metric has stopped improving.
2025-08-14T20:56:18.6156890Z 
2025-08-14T20:56:18.6157010Z     Models often benefit from reducing the learning rate by a factor
2025-08-14T20:56:18.6157310Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-14T20:56:18.6157600Z     quantity and if no improvement is seen for a 'patience' number
2025-08-14T20:56:18.6157850Z     of epochs, the learning rate is reduced.
2025-08-14T20:56:18.6157990Z 
2025-08-14T20:56:18.6158030Z     Args:
2025-08-14T20:56:18.6158180Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:18.6158420Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-14T20:56:18.6158670Z             be reduced when the quantity monitored has stopped
2025-08-14T20:56:18.6158940Z             decreasing; in `max` mode it will be reduced when the
2025-08-14T20:56:18.6159230Z             quantity monitored has stopped increasing. Default: 'min'.
2025-08-14T20:56:18.6159530Z         factor (float): Factor by which the learning rate will be
2025-08-14T20:56:18.6159790Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-08-14T20:56:18.6160070Z         patience (int): The number of allowed epochs with no improvement after
2025-08-14T20:56:18.6160360Z             which the learning rate will be reduced.
2025-08-14T20:56:18.6160640Z             For example, consider the case of having no patience (`patience = 0`).
2025-08-14T20:56:18.6161080Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-14T20:56:18.6161490Z             In the second epoch, if the performance is worse than the baseline,
2025-08-14T20:56:18.6161780Z             we have what is considered an intolerable epoch.
2025-08-14T20:56:18.6162100Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-14T20:56:18.6162440Z             the learning rate is reduced at the end of this epoch.
2025-08-14T20:56:18.6162850Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-14T20:56:18.6163340Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-14T20:56:18.6163670Z             the learning rate is not adjusted.
2025-08-14T20:56:18.6163870Z             Default: 10.
2025-08-14T20:56:18.6164080Z         threshold (float): Threshold for measuring the new optimum,
2025-08-14T20:56:18.6164360Z             to only focus on significant changes. Default: 1e-4.
2025-08-14T20:56:18.6164640Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-14T20:56:18.6164910Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-14T20:56:18.6165160Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-08-14T20:56:18.6165420Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-08-14T20:56:18.6165700Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-14T20:56:18.6165990Z         cooldown (int): Number of epochs to wait before resuming
2025-08-14T20:56:18.6166270Z             normal operation after lr has been reduced. Default: 0.
2025-08-14T20:56:18.6166550Z         min_lr (float or list): A scalar or a list of scalars. A
2025-08-14T20:56:18.6166810Z             lower bound on the learning rate of all param groups
2025-08-14T20:56:18.6167060Z             or each group respectively. Default: 0.
2025-08-14T20:56:18.6167310Z         eps (float): Minimal decay applied to lr. If the difference
2025-08-14T20:56:18.6167590Z             between new and old lr is smaller than eps, the update is
2025-08-14T20:56:18.6167820Z             ignored. Default: 1e-8.
2025-08-14T20:56:18.6167950Z 
2025-08-14T20:56:18.6167990Z     Example:
2025-08-14T20:56:18.6168120Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:18.6168370Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T20:56:18.6168670Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-14T20:56:18.6168950Z         >>> for epoch in range(10):
2025-08-14T20:56:18.6169120Z         >>>     train(...)
2025-08-14T20:56:18.6169290Z         >>>     val_loss = validate(...)
2025-08-14T20:56:18.6169510Z         >>> # Note that step should be called after validate()
2025-08-14T20:56:18.6169730Z         >>>     scheduler.step(val_loss)
2025-08-14T20:56:18.6169860Z 
2025-08-14T20:56:18.6169980Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-14T20:56:18.6170200Z     
2025-08-14T20:56:18.6170510Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-14T20:56:18.6170820Z 
2025-08-14T20:56:18.6170870Z     scheduler.step(val_loss)
2025-08-14T20:56:18.6171030Z    ^
2025-08-14T20:56:18.6171470Z msg = Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-08-14T20:56:18.6172060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:18.6172480Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-08-14T20:56:18.6172740Z 
2025-08-14T20:56:18.6172900Z     The policy cycles the learning rate between two boundaries with a constant frequency,
2025-08-14T20:56:18.6173300Z     as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-08-14T20:56:18.6173670Z     The distance between the two boundaries can be scaled on a per-iteration
2025-08-14T20:56:18.6173920Z     or per-cycle basis.
2025-08-14T20:56:18.6174020Z 
2025-08-14T20:56:18.6174170Z     Cyclical learning rate policy changes the learning rate after every batch.
2025-08-14T20:56:18.6174500Z     `step` should be called after a batch has been used for training.
2025-08-14T20:56:18.6174690Z 
2025-08-14T20:56:18.6174850Z     This class has three built-in policies, as put forth in the paper:
2025-08-14T20:56:18.6175050Z 
2025-08-14T20:56:18.6175180Z     * "triangular": A basic triangular cycle without amplitude scaling.
2025-08-14T20:56:18.6175580Z     * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-08-14T20:56:18.6176010Z     * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-08-14T20:56:18.6176330Z       at each cycle iteration.
2025-08-14T20:56:18.6176450Z 
2025-08-14T20:56:18.6176590Z     This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-08-14T20:56:18.6176800Z 
2025-08-14T20:56:18.6176850Z     Args:
2025-08-14T20:56:18.6176990Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:18.6177250Z         base_lr (float or list): Initial learning rate which is the
2025-08-14T20:56:18.6177540Z             lower boundary in the cycle for each parameter group.
2025-08-14T20:56:18.6177840Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-14T20:56:18.6178100Z             for each parameter group. Functionally,
2025-08-14T20:56:18.6178340Z             it defines the cycle amplitude (max_lr - base_lr).
2025-08-14T20:56:18.6178580Z             The lr at any cycle is the sum of base_lr
2025-08-14T20:56:18.6178800Z             and some scaling of the amplitude; therefore
2025-08-14T20:56:18.6179040Z             max_lr may not actually be reached depending on
2025-08-14T20:56:18.6179250Z             scaling function.
2025-08-14T20:56:18.6179460Z         step_size_up (int): Number of training iterations in the
2025-08-14T20:56:18.6179710Z             increasing half of a cycle. Default: 2000
2025-08-14T20:56:18.6179960Z         step_size_down (int): Number of training iterations in the
2025-08-14T20:56:18.6180240Z             decreasing half of a cycle. If step_size_down is None,
2025-08-14T20:56:18.6180480Z             it is set to step_size_up. Default: None
2025-08-14T20:56:18.6180730Z         mode (str): One of {triangular, triangular2, exp_range}.
2025-08-14T20:56:18.6181020Z             Values correspond to policies detailed above.
2025-08-14T20:56:18.6181270Z             If scale_fn is not None, this argument is ignored.
2025-08-14T20:56:18.6181480Z             Default: 'triangular'
2025-08-14T20:56:18.6181700Z         gamma (float): Constant in 'exp_range' scaling function:
2025-08-14T20:56:18.6181930Z             gamma**(cycle iterations)
2025-08-14T20:56:18.6182100Z             Default: 1.0
2025-08-14T20:56:18.6182320Z         scale_fn (function): Custom scaling policy defined by a single
2025-08-14T20:56:18.6182570Z             argument lambda function, where
2025-08-14T20:56:18.6182820Z             0 <= scale_fn(x) <= 1 for all x >= 0.
2025-08-14T20:56:18.6187750Z             If specified, then 'mode' is ignored.
2025-08-14T20:56:18.6187950Z             Default: None
2025-08-14T20:56:18.6188130Z         scale_mode (str): {'cycle', 'iterations'}.
2025-08-14T20:56:18.6188350Z             Defines whether scale_fn is evaluated on
2025-08-14T20:56:18.6188580Z             cycle number or cycle iterations (training
2025-08-14T20:56:18.6188800Z             iterations since start of cycle).
2025-08-14T20:56:18.6188990Z             Default: 'cycle'
2025-08-14T20:56:18.6189220Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-14T20:56:18.6189520Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-14T20:56:18.6189750Z             Default: True
2025-08-14T20:56:18.6189980Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-14T20:56:18.6190300Z             for each parameter group. Note that momentum is cycled inversely
2025-08-14T20:56:18.6190590Z             to learning rate; at the peak of a cycle, momentum is
2025-08-14T20:56:18.6190840Z             'base_momentum' and learning rate is 'max_lr'.
2025-08-14T20:56:18.6191050Z             Default: 0.8
2025-08-14T20:56:18.6191390Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-14T20:56:18.6191670Z             for each parameter group. Functionally,
2025-08-14T20:56:18.6191960Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-14T20:56:18.6192250Z             The momentum at any cycle is the difference of max_momentum
2025-08-14T20:56:18.6192510Z             and some scaling of the amplitude; therefore
2025-08-14T20:56:18.6192760Z             base_momentum may not actually be reached depending on
2025-08-14T20:56:18.6193040Z             scaling function. Note that momentum is cycled inversely
2025-08-14T20:56:18.6193340Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-14T20:56:18.6193600Z             and learning rate is 'base_lr'
2025-08-14T20:56:18.6193780Z             Default: 0.9
2025-08-14T20:56:18.6194010Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-08-14T20:56:18.6194340Z             resuming a training job. Since `step()` should be invoked after each
2025-08-14T20:56:18.6194660Z             batch instead of after each epoch, this number represents the total
2025-08-14T20:56:18.6194990Z             number of *batches* computed, not the total number of epochs computed.
2025-08-14T20:56:18.6195320Z             When last_epoch=-1, the schedule is started from the beginning.
2025-08-14T20:56:18.6195560Z             Default: -1
2025-08-14T20:56:18.6195660Z 
2025-08-14T20:56:18.6195700Z     Example:
2025-08-14T20:56:18.6195830Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:18.6196080Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T20:56:18.6196370Z         >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-08-14T20:56:18.6196590Z         ...     optimizer,
2025-08-14T20:56:18.6196730Z         ...     base_lr=0.01,
2025-08-14T20:56:18.6196880Z         ...     max_lr=0.1,
2025-08-14T20:56:18.6197030Z         ...     step_size_up=10,
2025-08-14T20:56:18.6197190Z         ... )
2025-08-14T20:56:18.6197350Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-14T20:56:18.6197600Z         >>> for epoch in range(10):
2025-08-14T20:56:18.6197780Z         >>>     for batch in data_loader:
2025-08-14T20:56:18.6197970Z         >>>         train_batch(...)
2025-08-14T20:56:18.6198140Z         >>>         scheduler.step()
2025-08-14T20:56:18.6198250Z 
2025-08-14T20:56:18.6198350Z     .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-08-14T20:56:18.6198510Z 
2025-08-14T20:56:18.6198700Z     .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-08-14T20:56:18.6199050Z     .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-08-14T20:56:18.6199250Z     
2025-08-14T20:56:18.6199460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5055150Z 
2025-08-14T20:56:19.5055870Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1722.
2025-08-14T20:56:19.5056660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5057060Z Set the learning rate of each parameter group using a cosine annealing schedule.
2025-08-14T20:56:19.5057290Z 
2025-08-14T20:56:19.5057410Z     The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-08-14T20:56:19.5057750Z     is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-08-14T20:56:19.5058060Z     of epochs between two warm restarts in SGDR:
2025-08-14T20:56:19.5058210Z 
2025-08-14T20:56:19.5058270Z     .. math::
2025-08-14T20:56:19.5058480Z         \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-08-14T20:56:19.5058770Z         \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-08-14T20:56:19.5058930Z 
2025-08-14T20:56:19.5059050Z     When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-08-14T20:56:19.5059590Z     When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-08-14T20:56:19.5059850Z 
2025-08-14T20:56:19.5059920Z     It has been proposed in
2025-08-14T20:56:19.5060140Z     `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-08-14T20:56:19.5060320Z 
2025-08-14T20:56:19.5060370Z     Args:
2025-08-14T20:56:19.5060520Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:19.5060780Z         T_0 (int): Number of iterations until the first restart.
2025-08-14T20:56:19.5061130Z         T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-08-14T20:56:19.5061510Z         eta_min (float, optional): Minimum learning rate. Default: 0.
2025-08-14T20:56:19.5061840Z         last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-08-14T20:56:19.5062050Z 
2025-08-14T20:56:19.5062160Z     .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-08-14T20:56:19.5062420Z         https://arxiv.org/abs/1608.03983
2025-08-14T20:56:19.5062570Z 
2025-08-14T20:56:19.5062620Z     Example:
2025-08-14T20:56:19.5062750Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5062980Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-08-14T20:56:19.5063320Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-08-14T20:56:19.5063590Z         ...     optimizer, T_0=20
2025-08-14T20:56:19.5063760Z         ... )
2025-08-14T20:56:19.5063900Z         >>> for epoch in range(100):
2025-08-14T20:56:19.5064070Z         >>>     train(...)
2025-08-14T20:56:19.5064220Z         >>>     validate(...)
2025-08-14T20:56:19.5064390Z         >>>     scheduler.step()
2025-08-14T20:56:19.5064520Z 
2025-08-14T20:56:19.5064670Z     .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-08-14T20:56:19.5064930Z     
2025-08-14T20:56:19.5065150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5065370Z 
2025-08-14T20:56:19.5065780Z msg = Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1872.
2025-08-14T20:56:19.5066460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5066870Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-08-14T20:56:19.5067120Z 
2025-08-14T20:56:19.5067300Z     The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-08-14T20:56:19.5067720Z     learning rate and then from that maximum learning rate to some minimum learning rate much
2025-08-14T20:56:19.5068040Z     lower than the initial learning rate.
2025-08-14T20:56:19.5068310Z     This policy was initially described in the paper `Super-Convergence:
2025-08-14T20:56:19.5068640Z     Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-08-14T20:56:19.5068840Z 
2025-08-14T20:56:19.5068990Z     The 1cycle learning rate policy changes the learning rate after every batch.
2025-08-14T20:56:19.5069350Z     `step` should be called after a batch has been used for training.
2025-08-14T20:56:19.5069550Z 
2025-08-14T20:56:19.5069610Z     This scheduler is not chainable.
2025-08-14T20:56:19.5069740Z 
2025-08-14T20:56:19.5069890Z     Note also that the total number of steps in the cycle can be determined in one
2025-08-14T20:56:19.5070200Z     of two ways (listed in order of precedence):
2025-08-14T20:56:19.5070350Z 
2025-08-14T20:56:19.5070450Z     #. A value for total_steps is explicitly provided.
2025-08-14T20:56:19.5070730Z     #. A number of epochs (epochs) and a number of steps per epoch
2025-08-14T20:56:19.5070970Z        (steps_per_epoch) are provided.
2025-08-14T20:56:19.5071200Z        In this case, the number of total steps is inferred by
2025-08-14T20:56:19.5071450Z        total_steps = epochs * steps_per_epoch
2025-08-14T20:56:19.5071590Z 
2025-08-14T20:56:19.5071810Z     You must either provide a value for total_steps or provide a value for both
2025-08-14T20:56:19.5072090Z     epochs and steps_per_epoch.
2025-08-14T20:56:19.5072260Z 
2025-08-14T20:56:19.5072440Z     The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-08-14T20:56:19.5072880Z     claims that "unpublished work has shown even better results by using only two phases". To
2025-08-14T20:56:19.5073270Z     mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-08-14T20:56:19.5073500Z 
2025-08-14T20:56:19.5073540Z     Args:
2025-08-14T20:56:19.5073700Z         optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:19.5073980Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-14T20:56:19.5074240Z             for each parameter group.
2025-08-14T20:56:19.5074500Z         total_steps (int): The total number of steps in the cycle. Note that
2025-08-14T20:56:19.5074840Z             if a value is not provided here, then it must be inferred by providing
2025-08-14T20:56:19.5075130Z             a value for epochs and steps_per_epoch.
2025-08-14T20:56:19.5075340Z             Default: None
2025-08-14T20:56:19.5075570Z         epochs (int): The number of epochs to train for. This is used along
2025-08-14T20:56:19.5075920Z             with steps_per_epoch in order to infer the total number of steps in the cycle
2025-08-14T20:56:19.5076230Z             if a value for total_steps is not provided.
2025-08-14T20:56:19.5076430Z             Default: None
2025-08-14T20:56:19.5076670Z         steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-08-14T20:56:19.5077020Z             used along with epochs in order to infer the total number of steps in the
2025-08-14T20:56:19.5077310Z             cycle if a value for total_steps is not provided.
2025-08-14T20:56:19.5077530Z             Default: None
2025-08-14T20:56:19.5077760Z         pct_start (float): The percentage of the cycle (in number of steps) spent
2025-08-14T20:56:19.5078040Z             increasing the learning rate.
2025-08-14T20:56:19.5078280Z             Default: 0.3
2025-08-14T20:56:19.5078460Z         anneal_strategy (str): {'cos', 'linear'}
2025-08-14T20:56:19.5078750Z             Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-08-14T20:56:19.5079020Z             linear annealing.
2025-08-14T20:56:19.5079180Z             Default: 'cos'
2025-08-14T20:56:19.5079400Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-14T20:56:19.5079710Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-14T20:56:19.5079950Z             Default: True
2025-08-14T20:56:19.5080180Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-14T20:56:19.5080510Z             for each parameter group. Note that momentum is cycled inversely
2025-08-14T20:56:19.5080810Z             to learning rate; at the peak of a cycle, momentum is
2025-08-14T20:56:19.5081060Z             'base_momentum' and learning rate is 'max_lr'.
2025-08-14T20:56:19.5081270Z             Default: 0.85
2025-08-14T20:56:19.5081500Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-14T20:56:19.5081770Z             for each parameter group. Functionally,
2025-08-14T20:56:19.5082040Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-14T20:56:19.5082300Z             Note that momentum is cycled inversely
2025-08-14T20:56:19.5082570Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-14T20:56:19.5082830Z             and learning rate is 'base_lr'
2025-08-14T20:56:19.5083010Z             Default: 0.95
2025-08-14T20:56:19.5083220Z         div_factor (float): Determines the initial learning rate via
2025-08-14T20:56:19.5083460Z             initial_lr = max_lr/div_factor
2025-08-14T20:56:19.5083640Z             Default: 25
2025-08-14T20:56:19.5083850Z         final_div_factor (float): Determines the minimum learning rate via
2025-08-14T20:56:19.5084160Z             min_lr = initial_lr/final_div_factor
2025-08-14T20:56:19.5084380Z             Default: 1e4
2025-08-14T20:56:19.5084630Z         three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-08-14T20:56:19.5085010Z             learning rate according to 'final_div_factor' instead of modifying the second
2025-08-14T20:56:19.5085370Z             phase (the first two phases will be symmetrical about the step indicated by
2025-08-14T20:56:19.5085630Z             'pct_start').
2025-08-14T20:56:19.5085870Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-08-14T20:56:19.5086210Z             resuming a training job. Since `step()` should be invoked after each
2025-08-14T20:56:19.5086550Z             batch instead of after each epoch, this number represents the total
2025-08-14T20:56:19.5086880Z             number of *batches* computed, not the total number of epochs computed.
2025-08-14T20:56:19.5087210Z             When last_epoch=-1, the schedule is started from the beginning.
2025-08-14T20:56:19.5087450Z             Default: -1
2025-08-14T20:56:19.5087540Z 
2025-08-14T20:56:19.5087580Z     Example:
2025-08-14T20:56:19.5087720Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5087920Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-14T20:56:19.5088220Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-08-14T20:56:19.5088520Z         >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-08-14T20:56:19.5088820Z         ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-08-14T20:56:19.5089050Z         ... )
2025-08-14T20:56:19.5089190Z         >>> for epoch in range(10):
2025-08-14T20:56:19.5089370Z         >>>     for batch in data_loader:
2025-08-14T20:56:19.5089560Z         >>>         train_batch(...)
2025-08-14T20:56:19.5089730Z         >>>         optimizer.step()
2025-08-14T20:56:19.5089910Z         >>>         scheduler.step()
2025-08-14T20:56:19.5090030Z 
2025-08-14T20:56:19.5090180Z     .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-08-14T20:56:19.5090350Z 
2025-08-14T20:56:19.5090520Z     .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-08-14T20:56:19.5090840Z         https://arxiv.org/abs/1708.07120
2025-08-14T20:56:19.5091010Z     
2025-08-14T20:56:19.5091220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5091440Z 
2025-08-14T20:56:19.5091820Z msg = Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-08-14T20:56:19.5092410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5092840Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-08-14T20:56:19.5093120Z 
2025-08-14T20:56:19.5093270Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-08-14T20:56:19.5093620Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-08-14T20:56:19.5093960Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-08-14T20:56:19.5094190Z     (UAI 2018).
2025-08-14T20:56:19.5094280Z 
2025-08-14T20:56:19.5094400Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-08-14T20:56:19.5094740Z     but using exponential weights instead of equal weights across iterations.
2025-08-14T20:56:19.5094960Z 
2025-08-14T20:56:19.5095100Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-08-14T20:56:19.5095450Z     on the device :attr:`device` and allows to compute running averages of the
2025-08-14T20:56:19.5095700Z     parameters of the :attr:`model`.
2025-08-14T20:56:19.5095830Z 
2025-08-14T20:56:19.5095870Z     Args:
2025-08-14T20:56:19.5096030Z         model (torch.nn.Module): model to use with SWA/EMA
2025-08-14T20:56:19.5096410Z         device (torch.device, optional): if provided, the averaged model will be
2025-08-14T20:56:19.5096710Z             stored on the :attr:`device`
2025-08-14T20:56:19.5096960Z         avg_fn (function, optional): the averaging function used to update
2025-08-14T20:56:19.5097270Z             parameters; the function must take in the current value of the
2025-08-14T20:56:19.5097590Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-08-14T20:56:19.5097900Z             parameter, and the number of models already averaged; if None,
2025-08-14T20:56:19.5098190Z             an equally weighted average is used (default: None)
2025-08-14T20:56:19.5098480Z         multi_avg_fn (function, optional): the averaging function used to update
2025-08-14T20:56:19.5098820Z             parameters inplace; the function must take in the current values of the
2025-08-14T20:56:19.5099190Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-08-14T20:56:19.5099560Z             parameters as a list, and the number of models already averaged; if None,
2025-08-14T20:56:19.5099860Z             an equally weighted average is used (default: None)
2025-08-14T20:56:19.5100150Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-08-14T20:56:19.5100470Z             both the parameters and the buffers of the model. (default: ``False``)
2025-08-14T20:56:19.5100670Z 
2025-08-14T20:56:19.5100710Z     Example:
2025-08-14T20:56:19.5100870Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:19.5101080Z         >>> loader, optimizer, model, loss_fn = ...
2025-08-14T20:56:19.5101320Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-08-14T20:56:19.5101630Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-08-14T20:56:19.5101890Z         >>>                                     T_max=300)
2025-08-14T20:56:19.5102080Z         >>> swa_start = 160
2025-08-14T20:56:19.5102270Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-08-14T20:56:19.5102530Z         >>> for i in range(300):
2025-08-14T20:56:19.5102710Z         >>>      for input, target in loader:
2025-08-14T20:56:19.5102900Z         >>>          optimizer.zero_grad()
2025-08-14T20:56:19.5103110Z         >>>          loss_fn(model(input), target).backward()
2025-08-14T20:56:19.5103320Z         >>>          optimizer.step()
2025-08-14T20:56:19.5103490Z         >>>      if i > swa_start:
2025-08-14T20:56:19.5103690Z         >>>          swa_model.update_parameters(model)
2025-08-14T20:56:19.5103890Z         >>>          swa_scheduler.step()
2025-08-14T20:56:19.5104070Z         >>>      else:
2025-08-14T20:56:19.5104210Z         >>>          scheduler.step()
2025-08-14T20:56:19.5104370Z         >>>
2025-08-14T20:56:19.5104530Z         >>> # Update bn statistics for the swa_model at the end
2025-08-14T20:56:19.5104790Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-08-14T20:56:19.5104960Z 
2025-08-14T20:56:19.5105140Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-08-14T20:56:19.5105510Z     If no averaging function is provided, the default is to compute
2025-08-14T20:56:19.5105770Z     equally-weighted average of the weights (SWA).
2025-08-14T20:56:19.5105930Z 
2025-08-14T20:56:19.5105970Z     Example:
2025-08-14T20:56:19.5106120Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:19.5106380Z         >>> # Compute exponential moving averages of the weights and buffers
2025-08-14T20:56:19.5106680Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-08-14T20:56:19.5106980Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-08-14T20:56:19.5107180Z 
2025-08-14T20:56:19.5107220Z     .. note::
2025-08-14T20:56:19.5107430Z         When using SWA/EMA with models containing Batch Normalization you may
2025-08-14T20:56:19.5107810Z         need to update the activation statistics for Batch Normalization.
2025-08-14T20:56:19.5108160Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-08-14T20:56:19.5108510Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-08-14T20:56:19.5108860Z         statistics in a post-training step by passing data through the model. The
2025-08-14T20:56:19.5109210Z         second does it during the parameter update phase by averaging all buffers.
2025-08-14T20:56:19.5109560Z         Empirical evidence has shown that updating the statistics in normalization
2025-08-14T20:56:19.5109900Z         layers increases accuracy, but you may wish to empirically test which
2025-08-14T20:56:19.5110200Z         approach yields the best results in your problem.
2025-08-14T20:56:19.5110350Z 
2025-08-14T20:56:19.5110390Z     .. note::
2025-08-14T20:56:19.5110620Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-08-14T20:56:19.5110850Z 
2025-08-14T20:56:19.5110890Z     .. note::
2025-08-14T20:56:19.5111090Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-08-14T20:56:19.5116140Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-08-14T20:56:19.5116450Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-08-14T20:56:19.5116750Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-08-14T20:56:19.5116990Z         to update the parameters.
2025-08-14T20:56:19.5117120Z 
2025-08-14T20:56:19.5117250Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-14T20:56:19.5117520Z         https://arxiv.org/abs/1803.05407
2025-08-14T20:56:19.5117790Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-08-14T20:56:19.5118040Z         Average:
2025-08-14T20:56:19.5118190Z         https://arxiv.org/abs/1806.05594
2025-08-14T20:56:19.5118440Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-08-14T20:56:19.5118760Z         https://arxiv.org/abs/1904.11943
2025-08-14T20:56:19.5119020Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-08-14T20:56:19.5119270Z         Generalizes Well:
2025-08-14T20:56:19.5119430Z         https://arxiv.org/abs/2001.02312
2025-08-14T20:56:19.5119610Z     .. _Polyak averaging:
2025-08-14T20:56:19.5119810Z         https://paperswithcode.com/method/polyak-averaging
2025-08-14T20:56:19.5120020Z     
2025-08-14T20:56:19.5120240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5420120Z 
2025-08-14T20:56:19.5420700Z msg = Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-08-14T20:56:19.5421310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5421680Z Anneals the learning rate in each parameter group to a fixed value.
2025-08-14T20:56:19.5421890Z 
2025-08-14T20:56:19.5422040Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-08-14T20:56:19.5422430Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-08-14T20:56:19.5422640Z 
2025-08-14T20:56:19.5422690Z     Args:
2025-08-14T20:56:19.5422880Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-08-14T20:56:19.5423180Z         swa_lrs (float or list): the learning rate value for all param groups
2025-08-14T20:56:19.5423470Z             together or separately for each group.
2025-08-14T20:56:19.5423750Z         annealing_epochs (int): number of epochs in the annealing phase
2025-08-14T20:56:19.5424000Z             (default: 10)
2025-08-14T20:56:19.5424240Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-08-14T20:56:19.5424570Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-08-14T20:56:19.5424980Z             (default: "cos")
2025-08-14T20:56:19.5425220Z         last_epoch (int): the index of the last epoch (default: -1)
2025-08-14T20:56:19.5425480Z 
2025-08-14T20:56:19.5425590Z     The :class:`SWALR` scheduler can be used together with other
2025-08-14T20:56:19.5425910Z     schedulers to switch to a constant learning rate late in the training
2025-08-14T20:56:19.5426170Z     as in the example below.
2025-08-14T20:56:19.5426280Z 
2025-08-14T20:56:19.5426320Z     Example:
2025-08-14T20:56:19.5426480Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-08-14T20:56:19.5426680Z         >>> loader, optimizer, model = ...
2025-08-14T20:56:19.5426880Z         >>> lr_lambda = lambda epoch: 0.9
2025-08-14T20:56:19.5427140Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-08-14T20:56:19.5427400Z         >>>        lr_lambda=lr_lambda)
2025-08-14T20:56:19.5427630Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-08-14T20:56:19.5427910Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-08-14T20:56:19.5428150Z         >>> swa_start = 160
2025-08-14T20:56:19.5428310Z         >>> for i in range(300):
2025-08-14T20:56:19.5428490Z         >>>      for input, target in loader:
2025-08-14T20:56:19.5428690Z         >>>          optimizer.zero_grad()
2025-08-14T20:56:19.5428890Z         >>>          loss_fn(model(input), target).backward()
2025-08-14T20:56:19.5429100Z         >>>          optimizer.step()
2025-08-14T20:56:19.5429270Z         >>>      if i > swa_start:
2025-08-14T20:56:19.5429450Z         >>>          swa_scheduler.step()
2025-08-14T20:56:19.5429620Z         >>>      else:
2025-08-14T20:56:19.5429770Z         >>>          scheduler.step()
2025-08-14T20:56:19.5429890Z 
2025-08-14T20:56:19.5430020Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-14T20:56:19.5430300Z         https://arxiv.org/abs/1803.05407
2025-08-14T20:56:19.5430480Z     
2025-08-14T20:56:19.5430690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5430980Z 
2025-08-14T20:56:19.5431380Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-08-14T20:56:19.5431990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5432260Z Load the optimizer state.
2025-08-14T20:56:19.5432360Z 
2025-08-14T20:56:19.5432410Z         Args:
2025-08-14T20:56:19.5432600Z             state_dict (dict): optimizer state. Should be an object returned
2025-08-14T20:56:19.5432850Z                 from a call to :meth:`state_dict`.
2025-08-14T20:56:19.5432990Z 
2025-08-14T20:56:19.5433050Z         .. warning::
2025-08-14T20:56:19.5433340Z             Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-08-14T20:56:19.5433730Z             as calling it beforehand will overwrite the loaded learning rates.
2025-08-14T20:56:19.5433920Z 
2025-08-14T20:56:19.5433970Z         .. note::
2025-08-14T20:56:19.5434230Z             The names of the parameters (if they exist under the "param_names" key of each param group
2025-08-14T20:56:19.5434610Z             in :meth:`state_dict`) will not affect the loading process.
2025-08-14T20:56:19.5434980Z             To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-08-14T20:56:19.5435350Z             differ from those initialized in the optimizer),
2025-08-14T20:56:19.5435700Z             a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-08-14T20:56:19.5436000Z             accordingly.
2025-08-14T20:56:19.5436280Z             If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-08-14T20:56:19.5436730Z             the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-08-14T20:56:19.5437150Z             the optimizer ``param_names`` will remain unchanged.
2025-08-14T20:56:19.5437340Z 
2025-08-14T20:56:19.5437390Z         Example:
2025-08-14T20:56:19.5437530Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5437720Z             >>> model = torch.nn.Linear(10, 10)
2025-08-14T20:56:19.5437970Z             >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-08-14T20:56:19.5438250Z             >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-08-14T20:56:19.5438470Z             ...     optim,
2025-08-14T20:56:19.5438630Z             ...     start_factor=0.1,
2025-08-14T20:56:19.5438810Z             ...     end_factor=1,
2025-08-14T20:56:19.5438980Z             ...     total_iters=20,
2025-08-14T20:56:19.5439140Z             ... )
2025-08-14T20:56:19.5439340Z             >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-08-14T20:56:19.5439580Z             ...     optim,
2025-08-14T20:56:19.5439730Z             ...     T_max=80,
2025-08-14T20:56:19.5439890Z             ...     eta_min=3e-5,
2025-08-14T20:56:19.5440040Z             ... )
2025-08-14T20:56:19.5440220Z             >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-08-14T20:56:19.5440430Z             ...     optim,
2025-08-14T20:56:19.5440620Z             ...     schedulers=[scheduler1, scheduler2],
2025-08-14T20:56:19.5440830Z             ...     milestones=[20],
2025-08-14T20:56:19.5440990Z             ... )
2025-08-14T20:56:19.5441170Z             >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-08-14T20:56:19.5441450Z             >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-08-14T20:56:19.5441760Z             >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-08-14T20:56:19.5441940Z 
2025-08-14T20:56:19.5441980Z         
2025-08-14T20:56:19.5442210Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5442430Z 
2025-08-14T20:56:19.5442870Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-08-14T20:56:19.5443570Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5443800Z 
2025-08-14T20:56:19.5443930Z Context passed to policy function during selective checkpointing.
2025-08-14T20:56:19.5444130Z 
2025-08-14T20:56:19.5444280Z This class is used to pass relevant metadata to the policy function during
2025-08-14T20:56:19.5444650Z selective checkpointing. The metadata includes whether the current invocation
2025-08-14T20:56:19.5444990Z of the policy function is during recomputation or not.
2025-08-14T20:56:19.5445160Z 
2025-08-14T20:56:19.5445210Z Example:
2025-08-14T20:56:19.5445340Z     >>> # xdoctest: +SKIP(stub)
2025-08-14T20:56:19.5445500Z     >>>
2025-08-14T20:56:19.5445640Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-14T20:56:19.5445840Z     >>>    print(ctx.is_recompute)
2025-08-14T20:56:19.5446010Z     >>>
2025-08-14T20:56:19.5446250Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-14T20:56:19.5446530Z     >>>
2025-08-14T20:56:19.5446690Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-08-14T20:56:19.5446890Z     >>>     fn, x, y,
2025-08-14T20:56:19.5447040Z     >>>     use_reentrant=False,
2025-08-14T20:56:19.5447220Z     >>>     context_fn=context_fn,
2025-08-14T20:56:19.5447380Z     >>> )
2025-08-14T20:56:19.5447450Z 
2025-08-14T20:56:19.5447600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5447830Z 
2025-08-14T20:56:19.5448280Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-08-14T20:56:19.5448950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5449180Z 
2025-08-14T20:56:19.5449400Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-08-14T20:56:19.5449650Z 
2025-08-14T20:56:19.5449790Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-08-14T20:56:19.5450080Z operations are recomputed during the backward pass.
2025-08-14T20:56:19.5450240Z 
2025-08-14T20:56:19.5450280Z Args:
2025-08-14T20:56:19.5450420Z     policy_fn_or_list (Callable or List):
2025-08-14T20:56:19.5450650Z       - If a policy function is provided, it should accept a
2025-08-14T20:56:19.5450970Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-08-14T20:56:19.5451310Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-08-14T20:56:19.5451650Z         indicating whether the execution of the op should be recomputed or not.
2025-08-14T20:56:19.5451980Z       - If a list of operations is provided, it is equivalent to a policy
2025-08-14T20:56:19.5452280Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-08-14T20:56:19.5452590Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-08-14T20:56:19.5452840Z         operations.
2025-08-14T20:56:19.5453050Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-08-14T20:56:19.5453380Z         raised if any tensors cached by selective activation checkpoint are
2025-08-14T20:56:19.5453700Z         mutated in order to ensure correctness. If set to `True`, this check
2025-08-14T20:56:19.5453950Z         is disabled.
2025-08-14T20:56:19.5454090Z Returns:
2025-08-14T20:56:19.5454210Z     A tuple of two context managers.
2025-08-14T20:56:19.5454330Z 
2025-08-14T20:56:19.5454380Z Example:
2025-08-14T20:56:19.5454510Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-08-14T20:56:19.5454670Z     >>> import functools
2025-08-14T20:56:19.5454810Z     >>>
2025-08-14T20:56:19.5454950Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-08-14T20:56:19.5455160Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-08-14T20:56:19.5455350Z     >>>
2025-08-14T20:56:19.5455500Z     >>> ops_to_save = [
2025-08-14T20:56:19.5455660Z     >>>    torch.ops.aten.mm.default,
2025-08-14T20:56:19.5455830Z     >>> ]
2025-08-14T20:56:19.5455930Z     >>>
2025-08-14T20:56:19.5456070Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-14T20:56:19.5456260Z     >>>    if op in ops_to_save:
2025-08-14T20:56:19.5456440Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-08-14T20:56:19.5456630Z     >>>    else:
2025-08-14T20:56:19.5456800Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-08-14T20:56:19.5456990Z     >>>
2025-08-14T20:56:19.5457210Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-14T20:56:19.5457490Z     >>>
2025-08-14T20:56:19.5457610Z     >>> # or equivalently
2025-08-14T20:56:19.5457860Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-08-14T20:56:19.5458130Z     >>>
2025-08-14T20:56:19.5458240Z     >>> def fn(x, y):
2025-08-14T20:56:19.5458460Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-08-14T20:56:19.5458690Z     >>>
2025-08-14T20:56:19.5458840Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-08-14T20:56:19.5459040Z     >>>     fn, x, y,
2025-08-14T20:56:19.5459180Z     >>>     use_reentrant=False,
2025-08-14T20:56:19.5459360Z     >>>     context_fn=context_fn,
2025-08-14T20:56:19.5459520Z     >>> )
2025-08-14T20:56:19.5459580Z 
2025-08-14T20:56:19.5459740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5459950Z 
2025-08-14T20:56:19.5460380Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-08-14T20:56:19.5461030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5461260Z 
2025-08-14T20:56:19.5461500Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-08-14T20:56:19.5461750Z 
2025-08-14T20:56:19.5461960Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-08-14T20:56:19.5462360Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-08-14T20:56:19.5462730Z server like load. It can emulate multiple calling threads to a single module
2025-08-14T20:56:19.5463080Z provided. In the future we plan to enhance this component to support inter and
2025-08-14T20:56:19.5463440Z intra-op parallelism as well as multiple models running in a single process.
2025-08-14T20:56:19.5463660Z 
2025-08-14T20:56:19.5463820Z Please note that even though nn.Module is supported, it might incur an overhead
2025-08-14T20:56:19.5464180Z from the need to hold GIL every time we execute Python code or pass around
2025-08-14T20:56:19.5464540Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-08-14T20:56:19.5464900Z model for inference deployment it is better to switch to using it in this
2025-08-14T20:56:19.5465170Z benchmark.
2025-08-14T20:56:19.5465240Z 
2025-08-14T20:56:19.5465290Z Example::
2025-08-14T20:56:19.5465360Z 
2025-08-14T20:56:19.5465430Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:19.5465650Z     >>> from torch.utils import ThroughputBenchmark
2025-08-14T20:56:19.5465880Z     >>> bench = ThroughputBenchmark(my_module)
2025-08-14T20:56:19.5466120Z     >>> # Pre-populate benchmark's data set with the inputs
2025-08-14T20:56:19.5466350Z     >>> for input in inputs:
2025-08-14T20:56:19.5466590Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-08-14T20:56:19.5466870Z     ...     bench.add_input(input[0], x2=input[1])
2025-08-14T20:56:19.5467130Z     >>> # Inputs supplied above are randomly used during the execution
2025-08-14T20:56:19.5467380Z     >>> stats = bench.benchmark(
2025-08-14T20:56:19.5467560Z     ...     num_calling_threads=4,
2025-08-14T20:56:19.5467740Z     ...     num_warmup_iters = 100,
2025-08-14T20:56:19.5467950Z     ...     num_iters = 1000,
2025-08-14T20:56:19.5468110Z     ... )
2025-08-14T20:56:19.5468280Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-08-14T20:56:19.5468570Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-08-14T20:56:19.5468750Z 
2025-08-14T20:56:19.5468900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5469160Z 
2025-08-14T20:56:19.5469560Z msg = Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-08-14T20:56:19.5470170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5470470Z Register a container-like type as pytree node.
2025-08-14T20:56:19.5470620Z 
2025-08-14T20:56:19.5470660Z     Args:
2025-08-14T20:56:19.5470840Z         cls (type): A Python type to treat as an internal pytree node.
2025-08-14T20:56:19.5471200Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-08-14T20:56:19.5471590Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-08-14T20:56:19.5471990Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-08-14T20:56:19.5472300Z             passed to the ``unflatten_fn``.
2025-08-14T20:56:19.5472600Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-08-14T20:56:19.5473000Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-08-14T20:56:19.5473320Z             The function should return an instance of ``cls``.
2025-08-14T20:56:19.5473640Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-08-14T20:56:19.5473970Z             qualified name used when serializing the tree spec.
2025-08-14T20:56:19.5474380Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-08-14T20:56:19.5474850Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-08-14T20:56:19.5475240Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-08-14T20:56:19.5475650Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-08-14T20:56:19.5476070Z             how to convert the custom json dumpable representation of the context back to the
2025-08-14T20:56:19.5476450Z             original context. This is used for json deserialization, which is being used in
2025-08-14T20:56:19.5476740Z             :mod:`torch.export` right now.
2025-08-14T20:56:19.5476870Z 
2025-08-14T20:56:19.5476920Z     Example::
2025-08-14T20:56:19.5477000Z 
2025-08-14T20:56:19.5477050Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5477250Z         >>> # Registry a Python type with lambda functions
2025-08-14T20:56:19.5477460Z         >>> register_pytree_node(
2025-08-14T20:56:19.5477630Z         ...     set,
2025-08-14T20:56:19.5477790Z         ...     lambda s: (sorted(s), None, None),
2025-08-14T20:56:19.5478000Z         ...     lambda children, _: set(children),
2025-08-14T20:56:19.5478190Z         ... )
2025-08-14T20:56:19.5478300Z     
2025-08-14T20:56:19.5478510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5478730Z 
2025-08-14T20:56:19.5479120Z msg = Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1147.
2025-08-14T20:56:19.5479740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5479960Z 
2025-08-14T20:56:19.5480050Z Create a :class:`setuptools.Extension` for C++.
2025-08-14T20:56:19.5480200Z 
2025-08-14T20:56:19.5480350Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:19.5480740Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-08-14T20:56:19.5480940Z 
2025-08-14T20:56:19.5481070Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:19.5481340Z constructor. Full list arguments can be found at
2025-08-14T20:56:19.5481690Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-14T20:56:19.5481940Z 
2025-08-14T20:56:19.5481990Z .. warning::
2025-08-14T20:56:19.5482210Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:19.5482540Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:19.5482850Z     the user's responsibility in their library to not use APIs from
2025-08-14T20:56:19.5483170Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:19.5483520Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:19.5483860Z     example, to give access to custom ops from python, the library should
2025-08-14T20:56:19.5484130Z     register the ops through the dispatcher.
2025-08-14T20:56:19.5484280Z 
2025-08-14T20:56:19.5484410Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:19.5484730Z     as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:19.5485050Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:19.5485390Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:19.5485720Z     safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:19.5486040Z     different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:19.5486290Z     CPython version of choice.
2025-08-14T20:56:19.5486470Z 
2025-08-14T20:56:19.5491090Z Example:
2025-08-14T20:56:19.5491340Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5491530Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:19.5491780Z     >>> from setuptools import setup
2025-08-14T20:56:19.5492040Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-08-14T20:56:19.5492290Z     >>> setup(
2025-08-14T20:56:19.5492420Z     ...     name='extension',
2025-08-14T20:56:19.5492580Z     ...     ext_modules=[
2025-08-14T20:56:19.5492730Z     ...         CppExtension(
2025-08-14T20:56:19.5492900Z     ...             name='extension',
2025-08-14T20:56:19.5493090Z     ...             sources=['extension.cpp'],
2025-08-14T20:56:19.5493290Z     ...             extra_compile_args=['-g'],
2025-08-14T20:56:19.5493510Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-08-14T20:56:19.5493720Z     ...     ],
2025-08-14T20:56:19.5493840Z     ...     cmdclass={
2025-08-14T20:56:19.5493990Z     ...         'build_ext': BuildExtension
2025-08-14T20:56:19.5494160Z     ...     })
2025-08-14T20:56:19.5494240Z 
2025-08-14T20:56:19.5494390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.5494600Z 
2025-08-14T20:56:19.5495000Z msg = Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1217.
2025-08-14T20:56:19.5495590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.5495820Z 
2025-08-14T20:56:19.5495910Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-08-14T20:56:19.5496080Z 
2025-08-14T20:56:19.5496220Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:19.5496540Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-08-14T20:56:19.5496860Z extension. This includes the CUDA include path, library path and runtime
2025-08-14T20:56:19.5497100Z library.
2025-08-14T20:56:19.5497170Z 
2025-08-14T20:56:19.5497300Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:19.5497610Z constructor. Full list arguments can be found at
2025-08-14T20:56:19.5497960Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-14T20:56:19.5498220Z 
2025-08-14T20:56:19.5498270Z .. warning::
2025-08-14T20:56:19.5498480Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:19.5498810Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:19.5499120Z     the user's responsibility in their library to not use APIs from
2025-08-14T20:56:19.5499450Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:19.5499780Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:19.5500100Z     example, to give access to custom ops from python, the library should
2025-08-14T20:56:19.5500370Z     register the ops through the dispatcher.
2025-08-14T20:56:19.5500510Z 
2025-08-14T20:56:19.5500650Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:19.5500970Z     as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:19.5501290Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:19.5501610Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:19.5501940Z     safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:19.5502260Z     different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:19.5502510Z     CPython version of choice.
2025-08-14T20:56:19.5502620Z 
2025-08-14T20:56:19.5502660Z Example:
2025-08-14T20:56:19.5502770Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5502960Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:19.5503170Z     >>> from setuptools import setup
2025-08-14T20:56:19.5503710Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-08-14T20:56:19.5503960Z     >>> setup(
2025-08-14T20:56:19.5504130Z     ...     name='cuda_extension',
2025-08-14T20:56:19.5504300Z     ...     ext_modules=[
2025-08-14T20:56:19.5504450Z     ...         CUDAExtension(
2025-08-14T20:56:19.5504620Z     ...                 name='cuda_extension',
2025-08-14T20:56:19.5504860Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:19.5505100Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-08-14T20:56:19.5505330Z     ...                                     'nvcc': ['-O2']},
2025-08-14T20:56:19.5505570Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-08-14T20:56:19.5505780Z     ...     ],
2025-08-14T20:56:19.5505890Z     ...     cmdclass={
2025-08-14T20:56:19.5506040Z     ...         'build_ext': BuildExtension
2025-08-14T20:56:19.5506220Z     ...     })
2025-08-14T20:56:19.5506290Z 
2025-08-14T20:56:19.5506340Z Compute capabilities:
2025-08-14T20:56:19.5506440Z 
2025-08-14T20:56:19.5506610Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-14T20:56:19.5507030Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-08-14T20:56:19.5507440Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-08-14T20:56:19.5507850Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-08-14T20:56:19.5508260Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-08-14T20:56:19.5508560Z support (see below for details on PTX).
2025-08-14T20:56:19.5508690Z 
2025-08-14T20:56:19.5508870Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-08-14T20:56:19.5509180Z CCs you want the extension to support:
2025-08-14T20:56:19.5509310Z 
2025-08-14T20:56:19.5509430Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-08-14T20:56:19.5509780Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-08-14T20:56:19.5509990Z 
2025-08-14T20:56:19.5510180Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-08-14T20:56:19.5510610Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-08-14T20:56:19.5511040Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-08-14T20:56:19.5511450Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-08-14T20:56:19.5511880Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-08-14T20:56:19.5512290Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-08-14T20:56:19.5512710Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-08-14T20:56:19.5513140Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-08-14T20:56:19.5513440Z "8.0 8.6" would be better.
2025-08-14T20:56:19.5513550Z 
2025-08-14T20:56:19.5513720Z Note that while it's possible to include all supported archs, the more archs get included the
2025-08-14T20:56:19.5514130Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-14T20:56:19.5514370Z 
2025-08-14T20:56:19.5514570Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-08-14T20:56:19.5514960Z To workaround the issue, move python binding logic to pure C++ file.
2025-08-14T20:56:19.5515150Z 
2025-08-14T20:56:19.5515200Z Example use:
2025-08-14T20:56:19.5515320Z     #include <ATen/ATen.h>
2025-08-14T20:56:19.5515510Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-08-14T20:56:19.5515670Z 
2025-08-14T20:56:19.5515720Z Instead of:
2025-08-14T20:56:19.5515900Z     #include <torch/extension.h>
2025-08-14T20:56:19.5516110Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-08-14T20:56:19.5516290Z 
2025-08-14T20:56:19.5516450Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-08-14T20:56:19.5516970Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-08-14T20:56:19.5517330Z 
2025-08-14T20:56:19.5517390Z Relocatable device code linking:
2025-08-14T20:56:19.5517510Z 
2025-08-14T20:56:19.5517670Z If you want to reference device symbols across compilation units (across object files),
2025-08-14T20:56:19.5518050Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-08-14T20:56:19.5518490Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-08-14T20:56:19.5518960Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-08-14T20:56:19.5519410Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-08-14T20:56:19.5519770Z helps reduce the protentional perf degradation of `-rdc`.
2025-08-14T20:56:19.5520040Z Note that it needs to be used at both steps to be useful.
2025-08-14T20:56:19.5520230Z 
2025-08-14T20:56:19.5520450Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-08-14T20:56:19.5520830Z There is also a case where `-dlink` is used without `-rdc`:
2025-08-14T20:56:19.5521150Z when an extension is linked against a static lib containing rdc-compiled objects
2025-08-14T20:56:19.5521500Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-08-14T20:56:19.5521690Z 
2025-08-14T20:56:19.5521820Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-08-14T20:56:19.5522000Z 
2025-08-14T20:56:19.5522050Z Example:
2025-08-14T20:56:19.5522170Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.5522390Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:19.5522600Z     >>> CUDAExtension(
2025-08-14T20:56:19.5522750Z     ...        name='cuda_extension',
2025-08-14T20:56:19.5522970Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:19.5523180Z     ...        dlink=True,
2025-08-14T20:56:19.5523350Z     ...        dlink_libraries=["dlink_lib"],
2025-08-14T20:56:19.5523550Z     ...        extra_compile_args={'cxx': ['-g'],
2025-08-14T20:56:19.5523770Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-08-14T20:56:19.5523920Z 
2025-08-14T20:56:19.5524070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.6874880Z 
2025-08-14T20:56:19.6875570Z msg = Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1408.
2025-08-14T20:56:19.6876250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.6876500Z 
2025-08-14T20:56:19.6876610Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-08-14T20:56:19.6876780Z 
2025-08-14T20:56:19.6876930Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:19.6877280Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-08-14T20:56:19.6877530Z extension.
2025-08-14T20:56:19.6877610Z 
2025-08-14T20:56:19.6877730Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:19.6877980Z constructor.
2025-08-14T20:56:19.6878060Z 
2025-08-14T20:56:19.6878120Z .. warning::
2025-08-14T20:56:19.6878350Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:19.6878700Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:19.6879030Z     the user's responsibility in their library to not use APIs from
2025-08-14T20:56:19.6879640Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:19.6880100Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:19.6880440Z     example, to give access to custom ops from python, the library should
2025-08-14T20:56:19.6880720Z     register the ops through the dispatcher.
2025-08-14T20:56:19.6880880Z 
2025-08-14T20:56:19.6881020Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:19.6881360Z     as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:19.6881690Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:19.6882030Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:19.6882370Z     safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:19.6882710Z     different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:19.6882970Z     CPython version of choice.
2025-08-14T20:56:19.6883090Z 
2025-08-14T20:56:19.6883150Z Example:
2025-08-14T20:56:19.6883270Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.6883460Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:19.6883760Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-08-14T20:56:19.6884020Z     >>> setup(
2025-08-14T20:56:19.6884160Z     ...     name='xpu_extension',
2025-08-14T20:56:19.6884340Z     ...     ext_modules=[
2025-08-14T20:56:19.6884490Z     ...     SyclExtension(
2025-08-14T20:56:19.6884670Z     ...                 name='xpu_extension',
2025-08-14T20:56:19.6884920Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-08-14T20:56:19.6885210Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-08-14T20:56:19.6885450Z     ...     ],
2025-08-14T20:56:19.6885580Z     ...     cmdclass={
2025-08-14T20:56:19.6885740Z     ...         'build_ext': BuildExtension
2025-08-14T20:56:19.6886030Z     ...     })
2025-08-14T20:56:19.6886100Z 
2025-08-14T20:56:19.6886280Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-14T20:56:19.6886680Z building process of the extension. If down the road a new card is installed the
2025-08-14T20:56:19.6887050Z extension may need to be recompiled. You can override the default behavior using
2025-08-14T20:56:19.6887440Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-08-14T20:56:19.6887730Z to support:
2025-08-14T20:56:19.6887810Z 
2025-08-14T20:56:19.6887940Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-08-14T20:56:19.6888130Z 
2025-08-14T20:56:19.6888310Z Note that while it's possible to include all supported archs, the more archs get included the
2025-08-14T20:56:19.6888740Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-14T20:56:19.6888980Z 
2025-08-14T20:56:19.6889070Z Note: Ninja is required to build SyclExtension.
2025-08-14T20:56:19.6889230Z 
2025-08-14T20:56:19.6889380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.6889600Z 
2025-08-14T20:56:19.6889990Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1585.
2025-08-14T20:56:19.6890580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.6890810Z 
2025-08-14T20:56:19.6890890Z Load a PyTorch C++ extension just-in-time (JIT).
2025-08-14T20:56:19.6891040Z 
2025-08-14T20:56:19.6891170Z To load an extension, a Ninja build file is emitted, which is used to
2025-08-14T20:56:19.6891490Z compile the given sources into a dynamic library. This library is
2025-08-14T20:56:19.6891810Z subsequently loaded into the current Python process as a module and
2025-08-14T20:56:19.6892130Z returned from this function, ready for use.
2025-08-14T20:56:19.6892280Z 
2025-08-14T20:56:19.6892440Z By default, the directory to which the build file is emitted and the
2025-08-14T20:56:19.6892770Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-08-14T20:56:19.6893110Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-08-14T20:56:19.6893430Z the name of the extension. This location can be overridden in two ways.
2025-08-14T20:56:19.6893750Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-08-14T20:56:19.6894080Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-08-14T20:56:19.6894420Z into subfolders of this directory. Second, if the ``build_directory``
2025-08-14T20:56:19.6894760Z argument to this function is supplied, it overrides the entire path, i.e.
2025-08-14T20:56:19.6895080Z the library will be compiled into that folder directly.
2025-08-14T20:56:19.6895240Z 
2025-08-14T20:56:19.6895380Z To compile the sources, the default system compiler (``c++``) is used,
2025-08-14T20:56:19.6895720Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-08-14T20:56:19.6896070Z additional arguments to the compilation process, ``extra_cflags`` or
2025-08-14T20:56:19.6896400Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-08-14T20:56:19.6896730Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-08-14T20:56:19.6897010Z ``extra_cflags`` to pass further include directories.
2025-08-14T20:56:19.6897170Z 
2025-08-14T20:56:19.6897310Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-08-14T20:56:19.6897620Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-08-14T20:56:19.6897940Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-08-14T20:56:19.6898280Z passing the CUDA lib64 directory as a library directory, and linking
2025-08-14T20:56:19.6898570Z ``cudart``. You can pass additional flags to nvcc via
2025-08-14T20:56:19.6898880Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-08-14T20:56:19.6899230Z heuristics for finding the CUDA install directory are used, which usually
2025-08-14T20:56:19.6899560Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-08-14T20:56:19.6899800Z safest option.
2025-08-14T20:56:19.6899880Z 
2025-08-14T20:56:19.6900020Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-08-14T20:56:19.6900350Z files (``.sycl``) along with other sources. Such files will be detected
2025-08-14T20:56:19.6900670Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-08-14T20:56:19.6900990Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-08-14T20:56:19.6901300Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-08-14T20:56:19.6901610Z SYCL compiler is expected to be found via system PATH environment
2025-08-14T20:56:19.6901850Z variable.
2025-08-14T20:56:19.6901920Z 
2025-08-14T20:56:19.6901960Z Args:
2025-08-14T20:56:19.6902160Z     name: The name of the extension to build. This MUST be the same as the
2025-08-14T20:56:19.6902410Z         name of the pybind11 module!
2025-08-14T20:56:19.6902650Z     sources: A list of relative or absolute paths to C++ source files.
2025-08-14T20:56:19.6902980Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-08-14T20:56:19.6903310Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-08-14T20:56:19.6903560Z         when building CUDA sources.
2025-08-14T20:56:19.6903810Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-08-14T20:56:19.6904080Z         compiler when building SYCL sources.
2025-08-14T20:56:19.6904340Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-08-14T20:56:19.6904660Z     extra_include_paths: optional list of include directories to forward
2025-08-14T20:56:19.6904980Z         to the build.
2025-08-14T20:56:19.6905190Z     build_directory: optional path to use as build workspace.
2025-08-14T20:56:19.6905500Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-08-14T20:56:19.6905810Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-14T20:56:19.6906110Z         the build. If set to ``None`` (default), this value is
2025-08-14T20:56:19.6906400Z         automatically determined based on the existence of ``.cu`` or
2025-08-14T20:56:19.6906690Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-08-14T20:56:19.6906920Z         and libraries to be included.
2025-08-14T20:56:19.6907170Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-14T20:56:19.6907470Z         the build. If set to ``None`` (default), this value is
2025-08-14T20:56:19.6907760Z         automatically determined based on the existence of ``.sycl`` in
2025-08-14T20:56:19.6908050Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-08-14T20:56:19.6908270Z         libraries to be included.
2025-08-14T20:56:19.6908510Z     is_python_module: If ``True`` (default), imports the produced shared
2025-08-14T20:56:19.6908820Z         library as a Python module. If ``False``, behavior depends on
2025-08-14T20:56:19.6909050Z         ``is_standalone``.
2025-08-14T20:56:19.6909280Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-08-14T20:56:19.6909590Z         into the process as a plain dynamic library. If ``True``, build a
2025-08-14T20:56:19.6909830Z         standalone executable.
2025-08-14T20:56:19.6909940Z 
2025-08-14T20:56:19.6909980Z Returns:
2025-08-14T20:56:19.6910110Z     If ``is_python_module`` is ``True``:
2025-08-14T20:56:19.6910340Z         Returns the loaded PyTorch extension as a Python module.
2025-08-14T20:56:19.6910510Z 
2025-08-14T20:56:19.6910630Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-08-14T20:56:19.6910950Z         Returns nothing. (The shared library is loaded into the process as
2025-08-14T20:56:19.6911230Z         a side effect.)
2025-08-14T20:56:19.6911330Z 
2025-08-14T20:56:19.6911390Z     If ``is_standalone`` is ``True``.
2025-08-14T20:56:19.6911630Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-08-14T20:56:19.6911940Z         added to the PATH environment variable as a side effect.)
2025-08-14T20:56:19.6912110Z 
2025-08-14T20:56:19.6912150Z Example:
2025-08-14T20:56:19.6912280Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.6912460Z     >>> from torch.utils.cpp_extension import load
2025-08-14T20:56:19.6912650Z     >>> module = load(
2025-08-14T20:56:19.6912840Z     ...     name='extension',
2025-08-14T20:56:19.6913120Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:19.6913350Z     ...     extra_cflags=['-O2'],
2025-08-14T20:56:19.6918440Z     ...     verbose=True)
2025-08-14T20:56:19.6918540Z 
2025-08-14T20:56:19.6918700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.6918930Z 
2025-08-14T20:56:19.6919310Z msg = Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1890.
2025-08-14T20:56:19.6919900Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.6920120Z 
2025-08-14T20:56:19.6920250Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-08-14T20:56:19.6920450Z 
2025-08-14T20:56:19.6920590Z This function behaves exactly like :func:`load`, but takes its sources as
2025-08-14T20:56:19.6920930Z strings rather than filenames. These strings are stored to files in the
2025-08-14T20:56:19.6921260Z build directory, after which the behavior of :func:`load_inline` is
2025-08-14T20:56:19.6921510Z identical to :func:`load`.
2025-08-14T20:56:19.6921610Z 
2025-08-14T20:56:19.6921660Z See `the
2025-08-14T20:56:19.6922020Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-08-14T20:56:19.6922380Z for good examples of using this function.
2025-08-14T20:56:19.6922510Z 
2025-08-14T20:56:19.6922660Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-08-14T20:56:19.6923010Z the necessary header includes, as well as the (pybind11) binding code. More
2025-08-14T20:56:19.6923360Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-08-14T20:56:19.6923680Z single ``.cpp`` file. This file is then prepended with ``#include
2025-08-14T20:56:19.6923910Z <torch/extension.h>``
2025-08-14T20:56:19.6924010Z 
2025-08-14T20:56:19.6924140Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-08-14T20:56:19.6924480Z automatically generated for each function specified. ``functions`` can
2025-08-14T20:56:19.6924820Z either be a list of function names, or a dictionary mapping from function
2025-08-14T20:56:19.6925140Z names to docstrings. If a list is given, the name of each function is used
2025-08-14T20:56:19.6925390Z as its docstring.
2025-08-14T20:56:19.6925480Z 
2025-08-14T20:56:19.6925610Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-08-14T20:56:19.6925910Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-08-14T20:56:19.6926200Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-08-14T20:56:19.6926530Z separately, but ultimately linked into a single library. Note that no
2025-08-14T20:56:19.6926860Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-08-14T20:56:19.6927190Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-08-14T20:56:19.6927510Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-08-14T20:56:19.6927760Z include its name in ``functions``).
2025-08-14T20:56:19.6927880Z 
2025-08-14T20:56:19.6928020Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-08-14T20:56:19.6928380Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-08-14T20:56:19.6928700Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-08-14T20:56:19.6929010Z linked into a single library. Note that no bindings are generated for
2025-08-14T20:56:19.6929340Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-08-14T20:56:19.6929650Z create a C++ function that calls it, and either declare or define this
2025-08-14T20:56:19.6929950Z C++ function in one of the ``cpp_sources`` (and include its name
2025-08-14T20:56:19.6930180Z in ``functions``).
2025-08-14T20:56:19.6930270Z 
2025-08-14T20:56:19.6930270Z 
2025-08-14T20:56:19.6930270Z 
2025-08-14T20:56:19.6930380Z See :func:`load` for a description of arguments omitted below.
2025-08-14T20:56:19.6930550Z 
2025-08-14T20:56:19.6930600Z Args:
2025-08-14T20:56:19.6930790Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-08-14T20:56:19.6931120Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-08-14T20:56:19.6931450Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-08-14T20:56:19.6931780Z     functions: A list of function names for which to generate function
2025-08-14T20:56:19.6932090Z         bindings. If a dictionary is given, it should map function names to
2025-08-14T20:56:19.6932390Z         docstrings (which are otherwise just the function names).
2025-08-14T20:56:19.6932700Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-14T20:56:19.6932990Z         the build. If set to ``None`` (default), this value is
2025-08-14T20:56:19.6933280Z         automatically determined based on whether ``cuda_sources`` is
2025-08-14T20:56:19.6933560Z         provided. Set it to ``True`` to force CUDA headers
2025-08-14T20:56:19.6933780Z         and libraries to be included.
2025-08-14T20:56:19.6934080Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-14T20:56:19.6934380Z         the build. If set to ``None`` (default), this value is
2025-08-14T20:56:19.6934700Z         automatically determined based on whether ``sycl_sources`` is
2025-08-14T20:56:19.6934970Z         provided. Set it to ``True`` to force SYCL headers
2025-08-14T20:56:19.6935180Z         and libraries to be included.
2025-08-14T20:56:19.6935430Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-08-14T20:56:19.6935740Z         warning macros are handled by pytorch instead of pybind. To do
2025-08-14T20:56:19.6936060Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-08-14T20:56:19.6936370Z         function. This redirection might cause issues in obscure cases
2025-08-14T20:56:19.6936670Z         of cpp. This flag should be set to ``False`` when this redirect
2025-08-14T20:56:19.6936900Z         causes issues.
2025-08-14T20:56:19.6937140Z     no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-08-14T20:56:19.6937500Z         ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-08-14T20:56:19.6937800Z         Use this option to improve cold start times when you
2025-08-14T20:56:19.6938110Z         already include the necessary headers in your source code. Default: ``False``.
2025-08-14T20:56:19.6938330Z 
2025-08-14T20:56:19.6938370Z Example:
2025-08-14T20:56:19.6938520Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:19.6938770Z     >>> from torch.utils.cpp_extension import load_inline
2025-08-14T20:56:19.6938970Z     >>> source = """
2025-08-14T20:56:19.6939150Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-08-14T20:56:19.6939350Z       return x.sin() + y.sin();
2025-08-14T20:56:19.6939500Z     }
2025-08-14T20:56:19.6939610Z     """
2025-08-14T20:56:19.6939750Z     >>> module = load_inline(name='inline_extension',
2025-08-14T20:56:19.6939970Z     ...                      cpp_sources=[source],
2025-08-14T20:56:19.6940180Z     ...                      functions=['sin_add'])
2025-08-14T20:56:19.6940370Z 
2025-08-14T20:56:19.6940420Z .. note::
2025-08-14T20:56:19.6940630Z     Since load_inline will just-in-time compile the source code, please ensure
2025-08-14T20:56:19.6940970Z     that you have the right toolchains installed in the runtime. For example,
2025-08-14T20:56:19.6941300Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-08-14T20:56:19.6941640Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-08-14T20:56:19.6942000Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-08-14T20:56:19.6942350Z     are not included when you install torch and must be additionally installed.
2025-08-14T20:56:19.6942560Z 
2025-08-14T20:56:19.6942710Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-08-14T20:56:19.6943060Z     the extension. This may use up too many resources on some systems. One
2025-08-14T20:56:19.6943390Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-08-14T20:56:19.6943650Z     variable to a non-negative number.
2025-08-14T20:56:19.6943780Z 
2025-08-14T20:56:19.6943920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7031410Z 
2025-08-14T20:56:19.7032030Z msg = Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-08-14T20:56:19.7032700Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7033060Z Sampler that restricts data loading to a subset of the dataset.
2025-08-14T20:56:19.7033250Z 
2025-08-14T20:56:19.7033340Z     It is especially useful in conjunction with
2025-08-14T20:56:19.7033640Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-08-14T20:56:19.7034120Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-08-14T20:56:19.7034540Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-08-14T20:56:19.7034830Z     original dataset that is exclusive to it.
2025-08-14T20:56:19.7034970Z 
2025-08-14T20:56:19.7035020Z     .. note::
2025-08-14T20:56:19.7035240Z         Dataset is assumed to be of constant size and that any instance of it always
2025-08-14T20:56:19.7035540Z         returns the same elements in the same order.
2025-08-14T20:56:19.7035700Z 
2025-08-14T20:56:19.7035740Z     Args:
2025-08-14T20:56:19.7035870Z         dataset: Dataset used for sampling.
2025-08-14T20:56:19.7036130Z         num_replicas (int, optional): Number of processes participating in
2025-08-14T20:56:19.7036470Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-08-14T20:56:19.7036740Z             current distributed group.
2025-08-14T20:56:19.7037020Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-08-14T20:56:19.7037350Z             By default, :attr:`rank` is retrieved from the current distributed
2025-08-14T20:56:19.7037590Z             group.
2025-08-14T20:56:19.7037800Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-08-14T20:56:19.7038050Z             indices.
2025-08-14T20:56:19.7038250Z         seed (int, optional): random seed used to shuffle the sampler if
2025-08-14T20:56:19.7038550Z             :attr:`shuffle=True`. This number should be identical across all
2025-08-14T20:56:19.7038830Z             processes in the distributed group. Default: ``0``.
2025-08-14T20:56:19.7039130Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-08-14T20:56:19.7039450Z             tail of the data to make it evenly divisible across the number of
2025-08-14T20:56:19.7039760Z             replicas. If ``False``, the sampler will add extra indices to make
2025-08-14T20:56:19.7040060Z             the data evenly divisible across the replicas. Default: ``False``.
2025-08-14T20:56:19.7040310Z 
2025-08-14T20:56:19.7040360Z     .. warning::
2025-08-14T20:56:19.7040560Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-08-14T20:56:19.7040890Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-08-14T20:56:19.7041260Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-08-14T20:56:19.7041550Z         the same ordering will be always used.
2025-08-14T20:56:19.7041690Z 
2025-08-14T20:56:19.7041730Z     Example::
2025-08-14T20:56:19.7041810Z 
2025-08-14T20:56:19.7041860Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:19.7042100Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-08-14T20:56:19.7042400Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-08-14T20:56:19.7042640Z         ...                     sampler=sampler)
2025-08-14T20:56:19.7042860Z         >>> for epoch in range(start_epoch, n_epochs):
2025-08-14T20:56:19.7043060Z         ...     if is_distributed:
2025-08-14T20:56:19.7043240Z         ...         sampler.set_epoch(epoch)
2025-08-14T20:56:19.7043420Z         ...     train(loader)
2025-08-14T20:56:19.7043570Z     
2025-08-14T20:56:19.7043770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7043980Z 
2025-08-14T20:56:19.7044390Z msg = Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-08-14T20:56:19.7045010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7045390Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-08-14T20:56:19.7045600Z 
2025-08-14T20:56:19.7045650Z     Args:
2025-08-14T20:56:19.7045940Z         weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-08-14T20:56:19.7046250Z         num_samples (int): number of samples to draw
2025-08-14T20:56:19.7046560Z         replacement (bool): if ``True``, samples are drawn with replacement.
2025-08-14T20:56:19.7046870Z             If not, they are drawn without replacement, which means that when a
2025-08-14T20:56:19.7047200Z             sample index is drawn for a row, it cannot be drawn again for that row.
2025-08-14T20:56:19.7047490Z         generator (Generator): Generator used in sampling.
2025-08-14T20:56:19.7047640Z 
2025-08-14T20:56:19.7047690Z     Example:
2025-08-14T20:56:19.7047850Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:19.7048040Z         >>> list(
2025-08-14T20:56:19.7048180Z         ...     WeightedRandomSampler(
2025-08-14T20:56:19.7048400Z         ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-08-14T20:56:19.7048590Z         ...     )
2025-08-14T20:56:19.7048710Z         ... )
2025-08-14T20:56:19.7048830Z         [4, 4, 1, 4, 5]
2025-08-14T20:56:19.7048970Z         >>> list(
2025-08-14T20:56:19.7049110Z         ...     WeightedRandomSampler(
2025-08-14T20:56:19.7049330Z         ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-08-14T20:56:19.7049520Z         ...     )
2025-08-14T20:56:19.7049640Z         ... )
2025-08-14T20:56:19.7049750Z         [0, 1, 4, 3, 2]
2025-08-14T20:56:19.7049880Z     
2025-08-14T20:56:19.7050090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7050300Z 
2025-08-14T20:56:19.7050680Z msg = Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-08-14T20:56:19.7051280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7051610Z Wraps another sampler to yield a mini-batch of indices.
2025-08-14T20:56:19.7051780Z 
2025-08-14T20:56:19.7051820Z     Args:
2025-08-14T20:56:19.7052030Z         sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-08-14T20:56:19.7052350Z         batch_size (int): Size of mini-batch.
2025-08-14T20:56:19.7052610Z         drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-08-14T20:56:19.7052870Z             its size would be less than ``batch_size``
2025-08-14T20:56:19.7053020Z 
2025-08-14T20:56:19.7053060Z     Example:
2025-08-14T20:56:19.7053180Z         >>> list(
2025-08-14T20:56:19.7053310Z         ...     BatchSampler(
2025-08-14T20:56:19.7053540Z         ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-08-14T20:56:19.7053770Z         ...     )
2025-08-14T20:56:19.7053890Z         ... )
2025-08-14T20:56:19.7054020Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-08-14T20:56:19.7054190Z         >>> list(
2025-08-14T20:56:19.7054430Z         ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-08-14T20:56:19.7054690Z         ... )
2025-08-14T20:56:19.7054810Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-08-14T20:56:19.7054980Z     
2025-08-14T20:56:19.7055190Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7055400Z 
2025-08-14T20:56:19.7055810Z msg = Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-08-14T20:56:19.7056430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7056640Z 
2025-08-14T20:56:19.7056700Z Iterable-style DataPipe.
2025-08-14T20:56:19.7056800Z 
2025-08-14T20:56:19.7056960Z All DataPipes that represent an iterable of data samples should subclass this.
2025-08-14T20:56:19.7057330Z This style of DataPipes is particularly useful when data come from a stream, or
2025-08-14T20:56:19.7057800Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-08-14T20:56:19.7058260Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-08-14T20:56:19.7058520Z 
2025-08-14T20:56:19.7058660Z All subclasses should overwrite :meth:`__iter__`, which would return an
2025-08-14T20:56:19.7059060Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-08-14T20:56:19.7059540Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-08-14T20:56:19.7059990Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-08-14T20:56:19.7060340Z and various state variables within the custom ``IterDataPipe``.
2025-08-14T20:56:19.7060520Z 
2025-08-14T20:56:19.7060560Z Note:
2025-08-14T20:56:19.7060750Z     Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-08-14T20:56:19.7061150Z     and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-08-14T20:56:19.7061640Z     some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-08-14T20:56:19.7062090Z     The code example below presents details on how this constraint looks in practice.
2025-08-14T20:56:19.7062530Z     If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-08-14T20:56:19.7062810Z 
2025-08-14T20:56:19.7062980Z These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-08-14T20:56:19.7063430Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-08-14T20:56:19.7063890Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-08-14T20:56:19.7064200Z operations in succession.
2025-08-14T20:56:19.7064300Z 
2025-08-14T20:56:19.7064380Z .. _GitHub IterDataPipe Single Iterator Issue:
2025-08-14T20:56:19.7064610Z     https://github.com/pytorch/data/issues/45
2025-08-14T20:56:19.7064800Z 
2025-08-14T20:56:19.7064850Z Note:
2025-08-14T20:56:19.7065050Z     When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-08-14T20:56:19.7065410Z     item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-08-14T20:56:19.7065760Z     iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-08-14T20:56:19.7066100Z     different copy of the DataPipe object, so it is often desired to configure
2025-08-14T20:56:19.7066450Z     each copy independently to avoid having duplicate data returned from the
2025-08-14T20:56:19.7066800Z     workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-08-14T20:56:19.7067150Z     process, returns information about the worker. It can be used in either the
2025-08-14T20:56:19.7067510Z     dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-08-14T20:56:19.7067840Z     :attr:`worker_init_fn` option to modify each copy's behavior.
2025-08-14T20:56:19.7068020Z 
2025-08-14T20:56:19.7068070Z Examples:
2025-08-14T20:56:19.7068180Z     General Usage:
2025-08-14T20:56:19.7068320Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:19.7068550Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-14T20:56:19.7068810Z         >>> dp = IterableWrapper(range(10))
2025-08-14T20:56:19.7069060Z         >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-08-14T20:56:19.7069290Z         >>> map_dp_2 = dp.map(
2025-08-14T20:56:19.7069460Z         ...     lambda x: x + 1
2025-08-14T20:56:19.7069640Z         ... )  # Using functional form (recommended)
2025-08-14T20:56:19.7069840Z         >>> list(map_dp_1)
2025-08-14T20:56:19.7069990Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-14T20:56:19.7070160Z         >>> list(map_dp_2)
2025-08-14T20:56:19.7070310Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-14T20:56:19.7070590Z         >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-08-14T20:56:19.7070810Z         >>> list(filter_dp)
2025-08-14T20:56:19.7070990Z         [2, 4, 6, 8, 10]
2025-08-14T20:56:19.7071140Z     Single Iterator Constraint Example:
2025-08-14T20:56:19.7071400Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-14T20:56:19.7071670Z         >>> source_dp = IterableWrapper(range(10))
2025-08-14T20:56:19.7071870Z         >>> it1 = iter(source_dp)
2025-08-14T20:56:19.7072030Z         >>> list(it1)
2025-08-14T20:56:19.7072170Z         [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-08-14T20:56:19.7072330Z         >>> it1 = iter(source_dp)
2025-08-14T20:56:19.7072490Z         >>> it2 = iter(
2025-08-14T20:56:19.7072630Z         ...     source_dp
2025-08-14T20:56:19.7072820Z         ... )  # The creation of a new iterator invalidates `it1`
2025-08-14T20:56:19.7073040Z         >>> next(it2)
2025-08-14T20:56:19.7073160Z         0
2025-08-14T20:56:19.7073340Z         >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-08-14T20:56:19.7073520Z 
2025-08-14T20:56:19.7073680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7286010Z 
2025-08-14T20:56:19.7286730Z msg = Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-08-14T20:56:19.7287460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7287700Z 
2025-08-14T20:56:19.7287930Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-08-14T20:56:19.7288230Z 
2025-08-14T20:56:19.7288270Z Args:
2025-08-14T20:56:19.7288440Z     datapipe: Iterable datapipe that provides pathnames
2025-08-14T20:56:19.7288730Z     mode: An optional string that specifies the mode in which
2025-08-14T20:56:19.7289060Z         the file is opened by ``open()``. It defaults to ``r``, other options are
2025-08-14T20:56:19.7289530Z         ``b`` for reading in binary mode and ``t`` for text mode.
2025-08-14T20:56:19.7289840Z     encoding: An optional string that specifies the encoding of the
2025-08-14T20:56:19.7290200Z         underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-08-14T20:56:19.7290500Z     length: Nominal length of the datapipe
2025-08-14T20:56:19.7290650Z 
2025-08-14T20:56:19.7290690Z Note:
2025-08-14T20:56:19.7291020Z     The opened file handles will be closed by Python's GC periodically. Users can choose
2025-08-14T20:56:19.7291340Z     to close them explicitly.
2025-08-14T20:56:19.7291480Z 
2025-08-14T20:56:19.7296330Z Example:
2025-08-14T20:56:19.7296470Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.7296660Z     >>> from torchdata.datapipes.iter import (
2025-08-14T20:56:19.7296860Z     ...     FileLister,
2025-08-14T20:56:19.7297010Z     ...     FileOpener,
2025-08-14T20:56:19.7297160Z     ...     StreamReader,
2025-08-14T20:56:19.7297320Z     ... )
2025-08-14T20:56:19.7297540Z     >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-08-14T20:56:19.7297800Z     >>> dp = FileOpener(dp)
2025-08-14T20:56:19.7297980Z     >>> dp = StreamReader(dp)
2025-08-14T20:56:19.7298140Z     >>> list(dp)
2025-08-14T20:56:19.7298270Z     [('./abc.txt', 'abc')]
2025-08-14T20:56:19.7298380Z 
2025-08-14T20:56:19.7298540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7298770Z 
2025-08-14T20:56:19.7299240Z msg = Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-08-14T20:56:19.7299930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7300170Z 
2025-08-14T20:56:19.7300560Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-08-14T20:56:19.7300880Z 
2025-08-14T20:56:19.7301010Z (functional name: ``groupby``).
2025-08-14T20:56:19.7301130Z 
2025-08-14T20:56:19.7301370Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-08-14T20:56:19.7301850Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-08-14T20:56:19.7302300Z the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-08-14T20:56:19.7302750Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-08-14T20:56:19.7303020Z 
2025-08-14T20:56:19.7303250Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-08-14T20:56:19.7303740Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-08-14T20:56:19.7303990Z 
2025-08-14T20:56:19.7304040Z Args:
2025-08-14T20:56:19.7304180Z     datapipe: Iterable datapipe to be grouped
2025-08-14T20:56:19.7304500Z     group_key_fn: Function used to generate group key from the data of the source datapipe
2025-08-14T20:56:19.7304880Z     keep_key: Option to yield the matching key along with the items in a tuple,
2025-08-14T20:56:19.7305210Z         resulting in `(key, [items])` otherwise returning [items]
2025-08-14T20:56:19.7305480Z     buffer_size: The size of buffer for ungrouped data
2025-08-14T20:56:19.7305810Z     group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-08-14T20:56:19.7306250Z     guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-08-14T20:56:19.7306730Z     drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-08-14T20:56:19.7307050Z         when the buffer is full
2025-08-14T20:56:19.7307160Z 
2025-08-14T20:56:19.7307210Z Example:
2025-08-14T20:56:19.7307320Z     >>> import os
2025-08-14T20:56:19.7307510Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:19.7307710Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:19.7307940Z     >>> def group_fn(file):
2025-08-14T20:56:19.7308120Z     ...     return os.path.basename(file).split(".")[0]
2025-08-14T20:56:19.7308330Z     >>> source_dp = IterableWrapper(
2025-08-14T20:56:19.7308560Z     ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-08-14T20:56:19.7308760Z     ... )
2025-08-14T20:56:19.7308910Z     >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-08-14T20:56:19.7309110Z     >>> list(dp0)
2025-08-14T20:56:19.7309280Z     [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-08-14T20:56:19.7309560Z     >>> # A group is yielded as soon as its size equals to `group_size`
2025-08-14T20:56:19.7309850Z     >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-08-14T20:56:19.7310080Z     >>> list(dp1)
2025-08-14T20:56:19.7310270Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-14T20:56:19.7310650Z     >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-08-14T20:56:19.7310970Z     >>> dp2 = source_dp.groupby(
2025-08-14T20:56:19.7311150Z     ...     group_key_fn=group_fn,
2025-08-14T20:56:19.7311310Z     ...     buffer_size=3,
2025-08-14T20:56:19.7311460Z     ...     group_size=3,
2025-08-14T20:56:19.7311620Z     ...     guaranteed_group_size=2,
2025-08-14T20:56:19.7311780Z     ... )
2025-08-14T20:56:19.7311880Z     >>> list(dp2)
2025-08-14T20:56:19.7312060Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-14T20:56:19.7312230Z 
2025-08-14T20:56:19.7312380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7312600Z 
2025-08-14T20:56:19.7313160Z msg = Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-08-14T20:56:19.7313870Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7314090Z 
2025-08-14T20:56:19.7314360Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-08-14T20:56:19.7314690Z 
2025-08-14T20:56:19.7314800Z A list of the child DataPipes is returned from this operation.
2025-08-14T20:56:19.7314980Z 
2025-08-14T20:56:19.7315020Z Args:
2025-08-14T20:56:19.7315160Z     datapipe: Iterable DataPipe being filtered
2025-08-14T20:56:19.7315420Z     num_instances: number of instances of the DataPipe to create
2025-08-14T20:56:19.7315820Z     classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-08-14T20:56:19.7316290Z     drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-08-14T20:56:19.7316740Z     buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-08-14T20:56:19.7317100Z         DataPipes while waiting for their values to be yielded.
2025-08-14T20:56:19.7317380Z         Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-08-14T20:56:19.7317550Z 
2025-08-14T20:56:19.7317590Z Examples:
2025-08-14T20:56:19.7317730Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:19.7317980Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:19.7318190Z     >>> def odd_or_even(n):
2025-08-14T20:56:19.7318340Z     ...     return n % 2
2025-08-14T20:56:19.7318520Z     >>> source_dp = IterableWrapper(range(5))
2025-08-14T20:56:19.7318780Z     >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-08-14T20:56:19.7319020Z     >>> list(dp1)
2025-08-14T20:56:19.7319130Z     [0, 2, 4]
2025-08-14T20:56:19.7319250Z     >>> list(dp2)
2025-08-14T20:56:19.7319370Z     [1, 3]
2025-08-14T20:56:19.7319620Z     >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-08-14T20:56:19.7319880Z     >>> def odd_or_even_no_zero(n):
2025-08-14T20:56:19.7320070Z     ...     return n % 2 if n != 0 else None
2025-08-14T20:56:19.7320260Z     >>> dp1, dp2 = source_dp.demux(
2025-08-14T20:56:19.7320510Z     ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-08-14T20:56:19.7320750Z     ... )
2025-08-14T20:56:19.7320860Z     >>> list(dp1)
2025-08-14T20:56:19.7320980Z     [2, 4]
2025-08-14T20:56:19.7321090Z     >>> list(dp2)
2025-08-14T20:56:19.7321220Z     [1, 3]
2025-08-14T20:56:19.7321290Z 
2025-08-14T20:56:19.7321430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7321660Z 
2025-08-14T20:56:19.7322130Z msg = Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-08-14T20:56:19.7322800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7323030Z 
2025-08-14T20:56:19.7323220Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-08-14T20:56:19.7323470Z 
2025-08-14T20:56:19.7323670Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-08-14T20:56:19.7324050Z and so on. It ends when the shortest input DataPipe is exhausted.
2025-08-14T20:56:19.7324230Z 
2025-08-14T20:56:19.7324270Z Args:
2025-08-14T20:56:19.7324570Z     datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-08-14T20:56:19.7324880Z 
2025-08-14T20:56:19.7324920Z Example:
2025-08-14T20:56:19.7325060Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:19.7325310Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:19.7325590Z     >>> dp1, dp2, dp3 = (
2025-08-14T20:56:19.7325750Z     ...     IterableWrapper(range(3)),
2025-08-14T20:56:19.7325970Z     ...     IterableWrapper(range(10, 15)),
2025-08-14T20:56:19.7326170Z     ...     IterableWrapper(range(20, 25)),
2025-08-14T20:56:19.7326350Z     ... )
2025-08-14T20:56:19.7326470Z     >>> list(dp1.mux(dp2, dp3))
2025-08-14T20:56:19.7326630Z     [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-08-14T20:56:19.7326750Z 
2025-08-14T20:56:19.7326900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7327110Z 
2025-08-14T20:56:19.7327560Z msg = Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-08-14T20:56:19.7328210Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:19.7328430Z 
2025-08-14T20:56:19.7328610Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-08-14T20:56:19.7328860Z 
2025-08-14T20:56:19.7329000Z The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-08-14T20:56:19.7329200Z 
2025-08-14T20:56:19.7329250Z Args:
2025-08-14T20:56:19.7329390Z     *datapipes: Iterable DataPipes being aggregated
2025-08-14T20:56:19.7329550Z 
2025-08-14T20:56:19.7329590Z Example:
2025-08-14T20:56:19.7329740Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:19.7329980Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:19.7330200Z     >>> dp1, dp2, dp3 = (
2025-08-14T20:56:19.7330360Z     ...     IterableWrapper(range(5)),
2025-08-14T20:56:19.7330560Z     ...     IterableWrapper(range(10, 15)),
2025-08-14T20:56:19.7330760Z     ...     IterableWrapper(range(20, 25)),
2025-08-14T20:56:19.7330930Z     ... )
2025-08-14T20:56:19.7331040Z     >>> list(dp1.zip(dp2, dp3))
2025-08-14T20:56:19.7331240Z     [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-08-14T20:56:19.7331390Z 
2025-08-14T20:56:19.7331580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:19.7331800Z 
2025-08-14T20:56:20.4360330Z msg = Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-08-14T20:56:20.4361050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:20.4361380Z Asserts that ``actual`` and ``expected`` are close.
2025-08-14T20:56:20.4361550Z 
2025-08-14T20:56:20.4361780Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-08-14T20:56:20.4362080Z 
2025-08-14T20:56:20.4362150Z     .. math::
2025-08-14T20:56:20.4362230Z 
2025-08-14T20:56:20.4362460Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-08-14T20:56:20.4362780Z 
2025-08-14T20:56:20.4363010Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-08-14T20:56:20.4363430Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-08-14T20:56:20.4363630Z 
2025-08-14T20:56:20.4363760Z     In addition, they are only considered close if they have the same
2025-08-14T20:56:20.4363950Z 
2025-08-14T20:56:20.4364080Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-08-14T20:56:20.4364360Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-08-14T20:56:20.4364600Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-08-14T20:56:20.4364830Z     - stride (if ``check_stride`` is ``True``).
2025-08-14T20:56:20.4364980Z 
2025-08-14T20:56:20.4365170Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-08-14T20:56:20.4365430Z 
2025-08-14T20:56:20.4365910Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-08-14T20:56:20.4366510Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-08-14T20:56:20.4366960Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-08-14T20:56:20.4367420Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-08-14T20:56:20.4367730Z 
2025-08-14T20:56:20.4367910Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-08-14T20:56:20.4368380Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-08-14T20:56:20.4368720Z     definition above.
2025-08-14T20:56:20.4368820Z 
2025-08-14T20:56:20.4369020Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-08-14T20:56:20.4369520Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-08-14T20:56:20.4370050Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-08-14T20:56:20.4370570Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-08-14T20:56:20.4370990Z     their elements are considered close according to the above definition.
2025-08-14T20:56:20.4371190Z 
2025-08-14T20:56:20.4371240Z     .. note::
2025-08-14T20:56:20.4371320Z 
2025-08-14T20:56:20.4371510Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-08-14T20:56:20.4371960Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-08-14T20:56:20.4372390Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-08-14T20:56:20.4372620Z 
2025-08-14T20:56:20.4372730Z     Args:
2025-08-14T20:56:20.4372860Z         actual (Any): Actual input.
2025-08-14T20:56:20.4373060Z         expected (Any): Expected input.
2025-08-14T20:56:20.4373410Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-08-14T20:56:20.4373780Z             are allowed. Otherwise type equality is required.
2025-08-14T20:56:20.4374160Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-08-14T20:56:20.4374600Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-14T20:56:20.4375040Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-08-14T20:56:20.4375470Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-14T20:56:20.4375850Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-08-14T20:56:20.4376240Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-08-14T20:56:20.4376620Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-08-14T20:56:20.4376980Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-08-14T20:56:20.4377390Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-08-14T20:56:20.4377860Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-08-14T20:56:20.4378230Z             :func:`torch.promote_types`) before being compared.
2025-08-14T20:56:20.4378610Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-08-14T20:56:20.4379120Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-08-14T20:56:20.4379460Z             compared.
2025-08-14T20:56:20.4379780Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-08-14T20:56:20.4380260Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-08-14T20:56:20.4380750Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-08-14T20:56:20.4381090Z             should return the new message.
2025-08-14T20:56:20.4381220Z 
2025-08-14T20:56:20.4381270Z     Raises:
2025-08-14T20:56:20.4381480Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-08-14T20:56:20.4381790Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-08-14T20:56:20.4382150Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-08-14T20:56:20.4382620Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-08-14T20:56:20.4382940Z             different types.
2025-08-14T20:56:20.4383270Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-08-14T20:56:20.4383750Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-08-14T20:56:20.4384210Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-08-14T20:56:20.4384650Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-08-14T20:56:20.4384950Z             :attr:`~torch.Tensor.layout`.
2025-08-14T20:56:20.4385210Z         AssertionError: If only one of corresponding tensors is quantized.
2025-08-14T20:56:20.4385630Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-08-14T20:56:20.4386140Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-08-14T20:56:20.4386440Z             :attr:`~torch.Tensor.device`.
2025-08-14T20:56:20.4386770Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-08-14T20:56:20.4387230Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-08-14T20:56:20.4387720Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-08-14T20:56:20.4387990Z 
2025-08-14T20:56:20.4388210Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-08-14T20:56:20.4388570Z     ``dtype``'s, the maximum of both tolerances is used.
2025-08-14T20:56:20.4388730Z 
2025-08-14T20:56:20.4388810Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4389040Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-08-14T20:56:20.4389250Z     +===========================+============+==========+
2025-08-14T20:56:20.4389470Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-08-14T20:56:20.4389690Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4389910Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-08-14T20:56:20.4390140Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4390360Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4390580Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4390810Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-08-14T20:56:20.4391030Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4391490Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-08-14T20:56:20.4391720Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4391980Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4392200Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4392430Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-08-14T20:56:20.4392660Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4392880Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4393100Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4393330Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4393550Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4393770Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4393990Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4394210Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4394430Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4394660Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:20.4394880Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4395090Z     | other                     | ``0.0``    | ``0.0``  |
2025-08-14T20:56:20.4395300Z     +---------------------------+------------+----------+
2025-08-14T20:56:20.4395440Z 
2025-08-14T20:56:20.4395490Z     .. note::
2025-08-14T20:56:20.4395560Z 
2025-08-14T20:56:20.4395790Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-08-14T20:56:20.4396290Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-08-14T20:56:20.4396720Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-08-14T20:56:20.4396940Z 
2025-08-14T20:56:20.4397000Z         >>> import functools
2025-08-14T20:56:20.4397300Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-08-14T20:56:20.4397570Z         >>> assert_equal(1e-9, 1e-10)
2025-08-14T20:56:20.4397760Z         Traceback (most recent call last):
2025-08-14T20:56:20.4397930Z         ...
2025-08-14T20:56:20.4398070Z         AssertionError: Scalars are not equal!
2025-08-14T20:56:20.4398250Z         <BLANKLINE>
2025-08-14T20:56:20.4398400Z         Expected 1e-10 but got 1e-09.
2025-08-14T20:56:20.4398600Z         Absolute difference: 9.000000000000001e-10
2025-08-14T20:56:20.4398800Z         Relative difference: 9.0
2025-08-14T20:56:20.4398920Z 
2025-08-14T20:56:20.4398960Z     Examples:
2025-08-14T20:56:20.4399100Z         >>> # tensor to tensor comparison
2025-08-14T20:56:20.4399300Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-08-14T20:56:20.4399590Z         >>> actual = torch.acos(torch.cos(expected))
2025-08-14T20:56:20.4399840Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4400010Z 
2025-08-14T20:56:20.4404870Z         >>> # scalar to scalar comparison
2025-08-14T20:56:20.4405070Z         >>> import math
2025-08-14T20:56:20.4405220Z         >>> expected = math.sqrt(2.0)
2025-08-14T20:56:20.4405400Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-08-14T20:56:20.4405610Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4405770Z 
2025-08-14T20:56:20.4405840Z         >>> # numpy array to numpy array comparison
2025-08-14T20:56:20.4406050Z         >>> import numpy as np
2025-08-14T20:56:20.4406230Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-08-14T20:56:20.4406450Z         >>> actual = np.arccos(np.cos(expected))
2025-08-14T20:56:20.4406670Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4406820Z 
2025-08-14T20:56:20.4406890Z         >>> # sequence to sequence comparison
2025-08-14T20:56:20.4407080Z         >>> import numpy as np
2025-08-14T20:56:20.4407450Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-08-14T20:56:20.4407780Z         >>> # length and their elements have to match.
2025-08-14T20:56:20.4408030Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-08-14T20:56:20.4408250Z         >>> actual = tuple(expected)
2025-08-14T20:56:20.4408450Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4408610Z 
2025-08-14T20:56:20.4408680Z         >>> # mapping to mapping comparison
2025-08-14T20:56:20.4408880Z         >>> from collections import OrderedDict
2025-08-14T20:56:20.4409080Z         >>> import numpy as np
2025-08-14T20:56:20.4409240Z         >>> foo = torch.tensor(1.0)
2025-08-14T20:56:20.4409410Z         >>> bar = 2.0
2025-08-14T20:56:20.4409550Z         >>> baz = np.array(3.0)
2025-08-14T20:56:20.4409810Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-08-14T20:56:20.4410150Z         >>> # have to have the same set of keys and their elements have to match.
2025-08-14T20:56:20.4410460Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-08-14T20:56:20.4410740Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-08-14T20:56:20.4410970Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4411120Z 
2025-08-14T20:56:20.4411200Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-14T20:56:20.4411400Z         >>> actual = expected.clone()
2025-08-14T20:56:20.4411630Z         >>> # By default, directly related instances can be compared
2025-08-14T20:56:20.4411920Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-08-14T20:56:20.4412230Z         >>> # This check can be made more strict with allow_subclasses=False
2025-08-14T20:56:20.4412480Z         >>> torch.testing.assert_close(
2025-08-14T20:56:20.4412730Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-08-14T20:56:20.4412960Z         ... )
2025-08-14T20:56:20.4413140Z         Traceback (most recent call last):
2025-08-14T20:56:20.4413310Z         ...
2025-08-14T20:56:20.4413500Z         TypeError: No comparison pair was able to handle inputs of type
2025-08-14T20:56:20.4413810Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-08-14T20:56:20.4414150Z         >>> # If the inputs are not directly related, they are never considered close
2025-08-14T20:56:20.4414460Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-08-14T20:56:20.4414700Z         Traceback (most recent call last):
2025-08-14T20:56:20.4414870Z         ...
2025-08-14T20:56:20.4415110Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-08-14T20:56:20.4415410Z         and <class 'torch.Tensor'>.
2025-08-14T20:56:20.4415690Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-08-14T20:56:20.4415990Z         >>> # their type if check_dtype=False.
2025-08-14T20:56:20.4416230Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-08-14T20:56:20.4416400Z 
2025-08-14T20:56:20.4416460Z         >>> # NaN != NaN by default.
2025-08-14T20:56:20.4416660Z         >>> expected = torch.tensor(float("Nan"))
2025-08-14T20:56:20.4416860Z         >>> actual = expected.clone()
2025-08-14T20:56:20.4417060Z         >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:20.4417280Z         Traceback (most recent call last):
2025-08-14T20:56:20.4417450Z         ...
2025-08-14T20:56:20.4417580Z         AssertionError: Scalars are not close!
2025-08-14T20:56:20.4417760Z         <BLANKLINE>
2025-08-14T20:56:20.4417900Z         Expected nan but got nan.
2025-08-14T20:56:20.4418100Z         Absolute difference: nan (up to 1e-05 allowed)
2025-08-14T20:56:20.4418340Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-08-14T20:56:20.4418660Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-08-14T20:56:20.4418850Z 
2025-08-14T20:56:20.4418920Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-14T20:56:20.4419180Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-08-14T20:56:20.4419410Z         >>> # The default error message can be overwritten.
2025-08-14T20:56:20.4419620Z         >>> torch.testing.assert_close(
2025-08-14T20:56:20.4419850Z         ...     actual, expected, msg="Argh, the tensors are not close!"
2025-08-14T20:56:20.4420080Z         ... )
2025-08-14T20:56:20.4420210Z         Traceback (most recent call last):
2025-08-14T20:56:20.4420390Z         ...
2025-08-14T20:56:20.4420540Z         AssertionError: Argh, the tensors are not close!
2025-08-14T20:56:20.4420820Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-08-14T20:56:20.4421080Z         >>> # extra information
2025-08-14T20:56:20.4421250Z         >>> torch.testing.assert_close(
2025-08-14T20:56:20.4421500Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-08-14T20:56:20.4421730Z         ... )
2025-08-14T20:56:20.4421870Z         Traceback (most recent call last):
2025-08-14T20:56:20.4422050Z         ...
2025-08-14T20:56:20.4422170Z         AssertionError: Header
2025-08-14T20:56:20.4422320Z         <BLANKLINE>
2025-08-14T20:56:20.4422460Z         Tensor-likes are not close!
2025-08-14T20:56:20.4422630Z         <BLANKLINE>
2025-08-14T20:56:20.4422770Z         Mismatched elements: 2 / 3 (66.7%)
2025-08-14T20:56:20.4423030Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-08-14T20:56:20.4423360Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-08-14T20:56:20.4423610Z         <BLANKLINE>
2025-08-14T20:56:20.4423740Z         Footer
2025-08-14T20:56:20.4423850Z     
2025-08-14T20:56:20.4424060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0054130Z 
2025-08-14T20:56:21.0054790Z msg = Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-08-14T20:56:21.0055670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0056060Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-08-14T20:56:21.0056290Z 
2025-08-14T20:56:21.0056430Z     This is a more structured way of using triton kernels with PyTorch.
2025-08-14T20:56:21.0056780Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-08-14T20:56:21.0057170Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-08-14T20:56:21.0057450Z     that is simpler;
2025-08-14T20:56:21.0057700Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-08-14T20:56:21.0058070Z     want to create an operator that behaves like PyTorch built-in operators.
2025-08-14T20:56:21.0058420Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-08-14T20:56:21.0058760Z     behavior of the triton kernel when passed a tensor subclass or under
2025-08-14T20:56:21.0059020Z     a TorchDispatchMode.
2025-08-14T20:56:21.0059130Z 
2025-08-14T20:56:21.0059290Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-08-14T20:56:21.0059570Z     when the implementation
2025-08-14T20:56:21.0059820Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-08-14T20:56:21.0060120Z     custom operators as opaque (:func:`torch.compile` and
2025-08-14T20:56:21.0060420Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-08-14T20:56:21.0060760Z     makes the implementation visible to these subsystems, allowing them
2025-08-14T20:56:21.0061020Z     to optimize the triton kernel(s).
2025-08-14T20:56:21.0061150Z 
2025-08-14T20:56:21.0061270Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-08-14T20:56:21.0061660Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-08-14T20:56:21.0062050Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-08-14T20:56:21.0062240Z 
2025-08-14T20:56:21.0062280Z     Args:
2025-08-14T20:56:21.0062540Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-08-14T20:56:21.0062880Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-08-14T20:56:21.0063180Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-08-14T20:56:21.0063500Z             To avoid name collisions, please use your project name as the namespace;
2025-08-14T20:56:21.0063840Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-08-14T20:56:21.0064200Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-08-14T20:56:21.0064590Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-08-14T20:56:21.0064970Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-08-14T20:56:21.0065310Z         schema (None | str): A schema string for the operator. If None
2025-08-14T20:56:21.0065630Z             (recommended) we'll infer a schema for the operator from its type
2025-08-14T20:56:21.0065950Z             annotations. We recommend letting us infer a schema unless you
2025-08-14T20:56:21.0066200Z             have a specific reason not to.
2025-08-14T20:56:21.0066440Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-08-14T20:56:21.0066600Z 
2025-08-14T20:56:21.0066650Z     Example::
2025-08-14T20:56:21.0066740Z 
2025-08-14T20:56:21.0066820Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:21.0067020Z         >>> import torch
2025-08-14T20:56:21.0067210Z         >>> from torch.library import triton_op, wrap_triton
2025-08-14T20:56:21.0067420Z         >>>
2025-08-14T20:56:21.0067540Z         >>> import triton
2025-08-14T20:56:21.0067750Z         >>> from triton import language as tl
2025-08-14T20:56:21.0067930Z         >>>
2025-08-14T20:56:21.0068050Z         >>> @triton.jit
2025-08-14T20:56:21.0068200Z         >>> def add_kernel(
2025-08-14T20:56:21.0068350Z         >>>     in_ptr0,
2025-08-14T20:56:21.0068490Z         >>>     in_ptr1,
2025-08-14T20:56:21.0068640Z         >>>     out_ptr,
2025-08-14T20:56:21.0068780Z         >>>     n_elements,
2025-08-14T20:56:21.0068940Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-14T20:56:21.0069120Z         >>> ):
2025-08-14T20:56:21.0069260Z         >>>     pid = tl.program_id(axis=0)
2025-08-14T20:56:21.0069460Z         >>>     block_start = pid * BLOCK_SIZE
2025-08-14T20:56:21.0069690Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-14T20:56:21.0069910Z         >>>     mask = offsets < n_elements
2025-08-14T20:56:21.0070120Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-14T20:56:21.0070350Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-14T20:56:21.0070560Z         >>>     output = x + y
2025-08-14T20:56:21.0070760Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-14T20:56:21.0070960Z         >>>
2025-08-14T20:56:21.0071120Z         >>> @triton_op("mylib::add", mutates_args={})
2025-08-14T20:56:21.0071380Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-08-14T20:56:21.0071630Z         >>>     output = torch.empty_like(x)
2025-08-14T20:56:21.0071830Z         >>>     n_elements = output.numel()
2025-08-14T20:56:21.0072000Z         >>>
2025-08-14T20:56:21.0072120Z         >>>     def grid(meta):
2025-08-14T20:56:21.0072330Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-14T20:56:21.0072540Z         >>>
2025-08-14T20:56:21.0072730Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-08-14T20:56:21.0073110Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-08-14T20:56:21.0073360Z         >>>     return output
2025-08-14T20:56:21.0073540Z         >>>
2025-08-14T20:56:21.0073660Z         >>> @torch.compile
2025-08-14T20:56:21.0073810Z         >>> def f(x, y):
2025-08-14T20:56:21.0073970Z         >>>     return add(x, y)
2025-08-14T20:56:21.0074120Z         >>>
2025-08-14T20:56:21.0074270Z         >>> x = torch.randn(3, device="cuda")
2025-08-14T20:56:21.0074480Z         >>> y = torch.randn(3, device="cuda")
2025-08-14T20:56:21.0074650Z         >>>
2025-08-14T20:56:21.0074760Z         >>> z = f(x, y)
2025-08-14T20:56:21.0074920Z         >>> assert torch.allclose(z, x + y)
2025-08-14T20:56:21.0075050Z 
2025-08-14T20:56:21.0075090Z     
2025-08-14T20:56:21.0075310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0075530Z 
2025-08-14T20:56:21.0075900Z msg = Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-08-14T20:56:21.0076490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0076840Z Allows capture of a triton kernel into a graph via make_fx or
2025-08-14T20:56:21.0077090Z     non-strict ``torch.export``.
2025-08-14T20:56:21.0077220Z 
2025-08-14T20:56:21.0077330Z     These technologies perform Dispatcher-based tracing (via
2025-08-14T20:56:21.0077630Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-08-14T20:56:21.0077930Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-08-14T20:56:21.0078180Z     can actually be traced into a graph.
2025-08-14T20:56:21.0078310Z 
2025-08-14T20:56:21.0078450Z     Please use this API together with :func:`torch.library.triton_op`.
2025-08-14T20:56:21.0078640Z 
2025-08-14T20:56:21.0078690Z     Examples:
2025-08-14T20:56:21.0078770Z 
2025-08-14T20:56:21.0078830Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:21.0078990Z         >>> import torch
2025-08-14T20:56:21.0079150Z         >>> import triton
2025-08-14T20:56:21.0079360Z         >>> from triton import language as tl
2025-08-14T20:56:21.0079610Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T20:56:21.0079880Z         >>> from torch.library import wrap_triton
2025-08-14T20:56:21.0080060Z         >>>
2025-08-14T20:56:21.0080170Z         >>> @triton.jit
2025-08-14T20:56:21.0080320Z         >>> def add_kernel(
2025-08-14T20:56:21.0080470Z         >>>     in_ptr0,
2025-08-14T20:56:21.0080610Z         >>>     in_ptr1,
2025-08-14T20:56:21.0080750Z         >>>     out_ptr,
2025-08-14T20:56:21.0080900Z         >>>     n_elements,
2025-08-14T20:56:21.0081060Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-14T20:56:21.0081230Z         >>> ):
2025-08-14T20:56:21.0081370Z         >>>     pid = tl.program_id(axis=0)
2025-08-14T20:56:21.0081580Z         >>>     block_start = pid * BLOCK_SIZE
2025-08-14T20:56:21.0081800Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-14T20:56:21.0082030Z         >>>     mask = offsets < n_elements
2025-08-14T20:56:21.0082250Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-14T20:56:21.0082470Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-14T20:56:21.0082660Z         >>>     output = x + y
2025-08-14T20:56:21.0082860Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-14T20:56:21.0083060Z         >>>
2025-08-14T20:56:21.0083190Z         >>> def add(x, y):
2025-08-14T20:56:21.0083360Z         >>>     output = torch.empty_like(x)
2025-08-14T20:56:21.0083550Z         >>>     n_elements = output.numel()
2025-08-14T20:56:21.0083730Z         >>>
2025-08-14T20:56:21.0083850Z         >>>     def grid_fn(meta):
2025-08-14T20:56:21.0084080Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-14T20:56:21.0084290Z         >>>
2025-08-14T20:56:21.0084480Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-08-14T20:56:21.0084760Z         >>>     return output
2025-08-14T20:56:21.0084910Z         >>>
2025-08-14T20:56:21.0085070Z         >>> x = torch.randn(3, device="cuda")
2025-08-14T20:56:21.0085270Z         >>> y = torch.randn(3, device="cuda")
2025-08-14T20:56:21.0085460Z         >>> gm = make_fx(add)(x, y)
2025-08-14T20:56:21.0085630Z         >>> print(gm.code)
2025-08-14T20:56:21.0085800Z         >>> # def forward(self, x_1, y_1):
2025-08-14T20:56:21.0086080Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-08-14T20:56:21.0086430Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-08-14T20:56:21.0086720Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-08-14T20:56:21.0086930Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-08-14T20:56:21.0087170Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-08-14T20:56:21.0087410Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-08-14T20:56:21.0087610Z         >>> #         })
2025-08-14T20:56:21.0087760Z         >>> #     return empty_like
2025-08-14T20:56:21.0087880Z 
2025-08-14T20:56:21.0087930Z     
2025-08-14T20:56:21.0088140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0088360Z 
2025-08-14T20:56:21.0088780Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-08-14T20:56:21.0089420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0089640Z 
2025-08-14T20:56:21.0089780Z Registers a fake kernel based on the given operator profiles. This fake
2025-08-14T20:56:21.0090130Z kernel registration will override any existing fake kernel registrations.
2025-08-14T20:56:21.0090330Z 
2025-08-14T20:56:21.0090470Z The input is a dictionary mapping operator names to a set of operator
2025-08-14T20:56:21.0090800Z profiles, which we will use to generate fake kernels. The operator profiles
2025-08-14T20:56:21.0091160Z are a record of the input and output tensor metadata. Based on this
2025-08-14T20:56:21.0091500Z information we will match a given input to the recorded profile, and return
2025-08-14T20:56:21.0091850Z an output with the same metadata as in the recorded profile. If a profile
2025-08-14T20:56:21.0092140Z doesn't exist then an exception will be thrown.
2025-08-14T20:56:21.0092290Z 
2025-08-14T20:56:21.0092430Z The fake kernel generation is considered unsafe because it relies on the
2025-08-14T20:56:21.0092790Z rigid, pre-defined operator profiles that do not account for potential
2025-08-14T20:56:21.0093150Z variations in output behavior. Specifically, the generated kernels assume a
2025-08-14T20:56:21.0093520Z fixed relationship between input and output ranks. However, in reality, it's
2025-08-14T20:56:21.0093870Z possible that data-dependent operations may produce outputs of different
2025-08-14T20:56:21.0094210Z ranks even when given inputs of the same rank. The generated fake kernels
2025-08-14T20:56:21.0094600Z are inflexible and unable to accommodate these nuances, making them
2025-08-14T20:56:21.0094870Z potentially unsafe.
2025-08-14T20:56:21.0094980Z 
2025-08-14T20:56:21.0095020Z Args:
2025-08-14T20:56:21.0100080Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-14T20:56:21.0100420Z         name to a set of operator profiles from which we will generate fake
2025-08-14T20:56:21.0100650Z         kernels.
2025-08-14T20:56:21.0100730Z 
2025-08-14T20:56:21.0100770Z Examples:
2025-08-14T20:56:21.0100840Z 
2025-08-14T20:56:21.0100950Z     >>> # Example: Registering an op-profile from draft-export
2025-08-14T20:56:21.0101160Z     >>> import torch
2025-08-14T20:56:21.0101340Z     >>> from torch.export._draft_export import draft_export
2025-08-14T20:56:21.0101550Z     >>>
2025-08-14T20:56:21.0101720Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-14T20:56:21.0102080Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T20:56:21.0102320Z     >>>     return x + y
2025-08-14T20:56:21.0102450Z     >>>
2025-08-14T20:56:21.0102570Z     >>> class M(torch.nn.Module):
2025-08-14T20:56:21.0102750Z     >>>     def forward(self, a, b):
2025-08-14T20:56:21.0102960Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-14T20:56:21.0103160Z     >>>         return res
2025-08-14T20:56:21.0103300Z     >>>
2025-08-14T20:56:21.0103460Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-14T20:56:21.0103680Z     >>>
2025-08-14T20:56:21.0103910Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-14T20:56:21.0104230Z     >>>     decomp = ep.run_decompositions()
2025-08-14T20:56:21.0104360Z 
2025-08-14T20:56:21.0104370Z 
2025-08-14T20:56:21.0104520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0763170Z 
2025-08-14T20:56:21.0763870Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-08-14T20:56:21.0764550Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:21.0764910Z Register a FakeTensor implementation for this custom op.
2025-08-14T20:56:21.0765090Z 
2025-08-14T20:56:21.0765240Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-08-14T20:56:21.0765460Z 
2025-08-14T20:56:21.0765600Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-14T20:56:21.0765950Z         specifies the behavior of this operator on Tensors that carry no data.
2025-08-14T20:56:21.0766250Z         Given some input Tensors with certain properties
2025-08-14T20:56:21.0766570Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-14T20:56:21.0766850Z         the output Tensors are.
2025-08-14T20:56:21.0767090Z 
2025-08-14T20:56:21.0767230Z         Please see :func:`torch.library.register_fake` for more details.
2025-08-14T20:56:21.0767420Z 
2025-08-14T20:56:21.0767480Z         Args:
2025-08-14T20:56:21.0767660Z             fn (Callable): The function to register as the FakeTensor
2025-08-14T20:56:21.0767900Z                 implementation.
2025-08-14T20:56:21.0768010Z 
2025-08-14T20:56:21.0768060Z         Examples:
2025-08-14T20:56:21.0768190Z             >>> import torch
2025-08-14T20:56:21.0768360Z             >>> import numpy as np
2025-08-14T20:56:21.0768540Z             >>> from torch import Tensor
2025-08-14T20:56:21.0768710Z             >>>
2025-08-14T20:56:21.0768920Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-14T20:56:21.0769230Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-14T20:56:21.0769550Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T20:56:21.0769820Z             >>>     return (x @ weight.t()) + bias
2025-08-14T20:56:21.0770010Z             >>>
2025-08-14T20:56:21.0770150Z             >>> @linear.register_fake
2025-08-14T20:56:21.0770340Z             >>> def _(x, weight, bias):
2025-08-14T20:56:21.0770520Z             >>>     assert x.dim() == 2
2025-08-14T20:56:21.0770710Z             >>>     assert weight.dim() == 2
2025-08-14T20:56:21.0770910Z             >>>     assert bias.dim() == 1
2025-08-14T20:56:21.0771120Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T20:56:21.0771350Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T20:56:21.0771580Z             >>>     assert x.device == weight.device
2025-08-14T20:56:21.0771820Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-14T20:56:21.0772030Z             >>>
2025-08-14T20:56:21.0772170Z             >>> x = torch.randn(2, 2)
2025-08-14T20:56:21.0772350Z             >>> weight = torch.randn(2, 2)
2025-08-14T20:56:21.0772610Z             >>> bias = torch.randn(2)
2025-08-14T20:56:21.0772880Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:21.0773160Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-14T20:56:21.0773440Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:21.0773750Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-14T20:56:21.0774020Z             >>>
2025-08-14T20:56:21.0774200Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-14T20:56:21.0774500Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-14T20:56:21.0774750Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-08-14T20:56:21.0774950Z             >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:21.0775160Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T20:56:21.0775390Z             >>>     return torch.tensor(res, device=x.device)
2025-08-14T20:56:21.0775590Z             >>>
2025-08-14T20:56:21.0775720Z             >>> @nonzero.register_fake
2025-08-14T20:56:21.0775900Z             >>> def _(x):
2025-08-14T20:56:21.0776080Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-14T20:56:21.0776350Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-08-14T20:56:21.0776610Z             >>> # we use the ctx object to construct a new symint that
2025-08-14T20:56:21.0776860Z             >>> # represents the data-dependent size.
2025-08-14T20:56:21.0777080Z             >>>     ctx = torch.library.get_ctx()
2025-08-14T20:56:21.0777280Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-14T20:56:21.0777480Z             >>>     shape = [nnz, x.dim()]
2025-08-14T20:56:21.0777690Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T20:56:21.0777910Z             >>>     return result
2025-08-14T20:56:21.0778060Z             >>>
2025-08-14T20:56:21.0778220Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-14T20:56:21.0778480Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:21.0778730Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-14T20:56:21.0778980Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:21.0779210Z             >>> assert torch.allclose(out, x.nonzero())
2025-08-14T20:56:21.0779350Z 
2025-08-14T20:56:21.0779400Z         
2025-08-14T20:56:21.0779770Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-14T20:56:21.0780130Z 
2025-08-14T20:56:21.0780170Z _._ = None
2025-08-14T20:56:21.0780280Z ^
2025-08-14T20:56:21.0780720Z msg = Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-08-14T20:56:21.0781330Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0781680Z Applies a 1D convolution over a quantized input signal composed of
2025-08-14T20:56:21.0781940Z     several quantized input planes.
2025-08-14T20:56:21.0782060Z 
2025-08-14T20:56:21.0782200Z     For details on input arguments, parameters, and implementation see
2025-08-14T20:56:21.0782440Z     :class:`~torch.nn.Conv1d`.
2025-08-14T20:56:21.0782550Z 
2025-08-14T20:56:21.0782610Z     .. note::
2025-08-14T20:56:21.0782800Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-08-14T20:56:21.0782980Z 
2025-08-14T20:56:21.0783030Z     .. note::
2025-08-14T20:56:21.0783210Z         Only `torch.quint8` is supported for the input data type.
2025-08-14T20:56:21.0783380Z 
2025-08-14T20:56:21.0783380Z 
2025-08-14T20:56:21.0783420Z     Attributes:
2025-08-14T20:56:21.0783630Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-08-14T20:56:21.0783880Z                              parameter.
2025-08-14T20:56:21.0784150Z         scale (Tensor):      scalar for the output scale
2025-08-14T20:56:21.0784440Z         zero_point (Tensor): scalar for the output zero point
2025-08-14T20:56:21.0784610Z 
2025-08-14T20:56:21.0784700Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-08-14T20:56:21.0784850Z 
2025-08-14T20:56:21.0784900Z     Examples::
2025-08-14T20:56:21.0784980Z 
2025-08-14T20:56:21.0785070Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-08-14T20:56:21.0785300Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-08-14T20:56:21.0785510Z         >>> input = torch.randn(20, 16, 100)
2025-08-14T20:56:21.0785710Z         >>> # quantize input to quint8
2025-08-14T20:56:21.0785890Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:21.0786120Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-08-14T20:56:21.0786400Z         ...                                     dtype=torch.quint8)
2025-08-14T20:56:21.0786600Z         >>> output = m(q_input)
2025-08-14T20:56:21.0786720Z 
2025-08-14T20:56:21.0786760Z     
2025-08-14T20:56:21.0786970Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0787180Z 
2025-08-14T20:56:21.0787550Z msg = Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-08-14T20:56:21.0788140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0788430Z A quantized long short-term memory (LSTM).
2025-08-14T20:56:21.0788560Z 
2025-08-14T20:56:21.0788730Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-08-14T20:56:21.0788960Z 
2025-08-14T20:56:21.0789010Z     Attributes:
2025-08-14T20:56:21.0789160Z         layers : instances of the `_LSTMLayer`
2025-08-14T20:56:21.0789290Z 
2025-08-14T20:56:21.0789340Z     .. note::
2025-08-14T20:56:21.0789540Z         To access the weights and biases, you need to access them per layer.
2025-08-14T20:56:21.0789880Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-08-14T20:56:21.0790060Z 
2025-08-14T20:56:21.0790100Z     Examples::
2025-08-14T20:56:21.0790230Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:21.0790390Z         >>> custom_module_config = {
2025-08-14T20:56:21.0790590Z         ...     'float_to_observed_custom_module_class': {
2025-08-14T20:56:21.0790810Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-08-14T20:56:21.0790990Z         ...     },
2025-08-14T20:56:21.0791160Z         ...     'observed_to_quantized_custom_module_class': {
2025-08-14T20:56:21.0791400Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-08-14T20:56:21.0791600Z         ...     }
2025-08-14T20:56:21.0791720Z         ... }
2025-08-14T20:56:21.0791920Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-08-14T20:56:21.0792250Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-08-14T20:56:21.0792490Z     
2025-08-14T20:56:21.0792700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0792910Z 
2025-08-14T20:56:21.0793360Z msg = Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-08-14T20:56:21.0794010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0794240Z 
2025-08-14T20:56:21.0794390Z Config object that specifies the supported data types passed as arguments to
2025-08-14T20:56:21.0794740Z quantize ops in the reference model spec, for input and output activations,
2025-08-14T20:56:21.0794990Z weights, and biases.
2025-08-14T20:56:21.0795080Z 
2025-08-14T20:56:21.0795180Z For example, consider the following reference model:
2025-08-14T20:56:21.0795330Z 
2025-08-14T20:56:21.0795500Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-08-14T20:56:21.0795660Z 
2025-08-14T20:56:21.0795810Z The pattern in the square brackets refers to the reference pattern of
2025-08-14T20:56:21.0796140Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-08-14T20:56:21.0796480Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-08-14T20:56:21.0796810Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-08-14T20:56:21.0797140Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-08-14T20:56:21.0797390Z the second quantize op (quant2).
2025-08-14T20:56:21.0797510Z 
2025-08-14T20:56:21.0797640Z Note that the dtype here does not refer to the interface dtypes of the
2025-08-14T20:56:21.0797960Z op. For example, the "input dtype" here is not the dtype of the input
2025-08-14T20:56:21.0798270Z tensor passed to the quantized linear op. Though it can still be the
2025-08-14T20:56:21.0798580Z same as the interface dtype, this is not always the case, e.g. the
2025-08-14T20:56:21.0798890Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-08-14T20:56:21.0799220Z specified in the DTypeConfig would still be quint8. The semantics of
2025-08-14T20:56:21.0799530Z dtypes here are the same as the semantics of the dtypes specified in
2025-08-14T20:56:21.0799770Z the observers.
2025-08-14T20:56:21.0799850Z 
2025-08-14T20:56:21.0799970Z These dtypes are matched against the ones specified in the user's
2025-08-14T20:56:21.0800280Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-08-14T20:56:21.0800600Z specified in the DTypeConfig (if any), then we will quantize the given
2025-08-14T20:56:21.0800940Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-08-14T20:56:21.0801200Z the pattern will not be quantized.
2025-08-14T20:56:21.0801320Z 
2025-08-14T20:56:21.0801360Z Example usage::
2025-08-14T20:56:21.0801450Z 
2025-08-14T20:56:21.0801500Z     >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:21.0801680Z     >>> dtype_config1 = DTypeConfig(
2025-08-14T20:56:21.0801910Z     ...     input_dtype=torch.quint8,
2025-08-14T20:56:21.0802100Z     ...     output_dtype=torch.quint8,
2025-08-14T20:56:21.0802280Z     ...     weight_dtype=torch.qint8,
2025-08-14T20:56:21.0802460Z     ...     bias_dtype=torch.float)
2025-08-14T20:56:21.0802580Z 
2025-08-14T20:56:21.0802640Z     >>> dtype_config2 = DTypeConfig(
2025-08-14T20:56:21.0802840Z     ...     input_dtype=DTypeWithConstraints(
2025-08-14T20:56:21.0803030Z     ...         dtype=torch.quint8,
2025-08-14T20:56:21.0803210Z     ...         quant_min_lower_bound=0,
2025-08-14T20:56:21.0803400Z     ...         quant_max_upper_bound=255,
2025-08-14T20:56:21.0803570Z     ...     ),
2025-08-14T20:56:21.0803720Z     ...     output_dtype=DTypeWithConstraints(
2025-08-14T20:56:21.0803920Z     ...         dtype=torch.quint8,
2025-08-14T20:56:21.0804090Z     ...         quant_min_lower_bound=0,
2025-08-14T20:56:21.0804280Z     ...         quant_max_upper_bound=255,
2025-08-14T20:56:21.0804450Z     ...     ),
2025-08-14T20:56:21.0804600Z     ...     weight_dtype=DTypeWithConstraints(
2025-08-14T20:56:21.0804800Z     ...         dtype=torch.qint8,
2025-08-14T20:56:21.0804980Z     ...         quant_min_lower_bound=-128,
2025-08-14T20:56:21.0805170Z     ...         quant_max_upper_bound=127,
2025-08-14T20:56:21.0805340Z     ...     ),
2025-08-14T20:56:21.0805470Z     ...     bias_dtype=torch.float)
2025-08-14T20:56:21.0805580Z 
2025-08-14T20:56:21.0805650Z     >>> dtype_config1.input_dtype
2025-08-14T20:56:21.0805810Z     torch.quint8
2025-08-14T20:56:21.0805890Z 
2025-08-14T20:56:21.0805950Z     >>> dtype_config2.input_dtype
2025-08-14T20:56:21.0806110Z     torch.quint8
2025-08-14T20:56:21.0806190Z 
2025-08-14T20:56:21.0806270Z     >>> dtype_config2.input_dtype_with_constraints
2025-08-14T20:56:21.0806740Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-08-14T20:56:21.0807180Z 
2025-08-14T20:56:21.0807330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.0994980Z 
2025-08-14T20:56:21.0995860Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-08-14T20:56:21.0996730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.0996970Z 
2025-08-14T20:56:21.0997140Z Takes in optional filter values and generates two tables with desired information.
2025-08-14T20:56:21.0997380Z 
2025-08-14T20:56:21.0997520Z The generated tables are presented in both a list-of-lists format
2025-08-14T20:56:21.0997720Z 
2025-08-14T20:56:21.0997850Z The reason for the two tables are that they handle different things:
2025-08-14T20:56:21.0998170Z 1.) the first table handles all tensor level information
2025-08-14T20:56:21.0998490Z 2.) the second table handles and displays all channel based information
2025-08-14T20:56:21.0998690Z 
2025-08-14T20:56:21.0998900Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-14T20:56:21.0999360Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-14T20:56:21.0999850Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-14T20:56:21.1000130Z 
2025-08-14T20:56:21.1000180Z Tensor table columns:
2025-08-14T20:56:21.1000400Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:21.1000700Z     ----  ---------  ---------   ---------   ---------        ---------
2025-08-14T20:56:21.1000870Z 
2025-08-14T20:56:21.1000930Z Per-Channel table columns:
2025-08-14T20:56:21.1001190Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:21.1001510Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-14T20:56:21.1001870Z 
2025-08-14T20:56:21.1001920Z Args:
2025-08-14T20:56:21.1002160Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:21.1002460Z         contain this filter substring
2025-08-14T20:56:21.1002700Z         Default = "", results in all the features being printed
2025-08-14T20:56:21.1003040Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:21.1003460Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:21.1003690Z 
2025-08-14T20:56:21.1003760Z Returns a dictionary with two keys:
2025-08-14T20:56:21.1004000Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-08-14T20:56:21.1004260Z     "tensor_level_info", "channel_level_info"
2025-08-14T20:56:21.1004460Z         Each key maps to a tuple with:
2025-08-14T20:56:21.1004670Z             A list of the headers of each table
2025-08-14T20:56:21.1004930Z             A list of lists containing the table information row by row
2025-08-14T20:56:21.1005230Z             The 0th index row will contain the headers of the columns
2025-08-14T20:56:21.1005480Z             The rest of the rows will contain data
2025-08-14T20:56:21.1005640Z 
2025-08-14T20:56:21.1005690Z Example Use:
2025-08-14T20:56:21.1005850Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:21.1006090Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-08-14T20:56:21.1006380Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:21.1006740Z     ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-08-14T20:56:21.1006980Z 
2025-08-14T20:56:21.1007140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.1007360Z 
2025-08-14T20:56:21.1008050Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-08-14T20:56:21.1008950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.1009180Z 
2025-08-14T20:56:21.1009350Z Takes in optional filter values and prints out formatted tables of the information.
2025-08-14T20:56:21.1009590Z 
2025-08-14T20:56:21.1009800Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-08-14T20:56:21.1010170Z 1.) the first table handles all tensor level information
2025-08-14T20:56:21.1010460Z 2.) the second table handles and displays all channel based information
2025-08-14T20:56:21.1010660Z 
2025-08-14T20:56:21.1010850Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-14T20:56:21.1011300Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-14T20:56:21.1011760Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-14T20:56:21.1012030Z 
2025-08-14T20:56:21.1012080Z Tensor table columns:
2025-08-14T20:56:21.1012290Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:21.1012560Z ----  ---------  ---------   ---------   ---------        ---------
2025-08-14T20:56:21.1012730Z 
2025-08-14T20:56:21.1012780Z Per-Channel table columns:
2025-08-14T20:56:21.1012900Z 
2025-08-14T20:56:21.1013030Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:21.1013330Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-14T20:56:21.1013500Z 
2025-08-14T20:56:21.1013540Z Args:
2025-08-14T20:56:21.1013770Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:21.1014050Z         contain this filter substring
2025-08-14T20:56:21.1014340Z         Default = "", results in all the features being printed
2025-08-14T20:56:21.1014660Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:21.1015030Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:21.1015260Z 
2025-08-14T20:56:21.1015310Z Example Use:
2025-08-14T20:56:21.1015510Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:21.1015790Z     >>> mod_report_visualizer.generate_table_visualization(
2025-08-14T20:56:21.1016100Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:21.1021270Z     ... )
2025-08-14T20:56:21.1021460Z     >>> # prints out neatly formatted table with per_channel_min info
2025-08-14T20:56:21.1021720Z     >>> # for all modules in block 1 of the model
2025-08-14T20:56:21.1021860Z 
2025-08-14T20:56:21.1022010Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.1022230Z 
2025-08-14T20:56:21.1022820Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-08-14T20:56:21.1023600Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.1023820Z 
2025-08-14T20:56:21.1023960Z Takes in a feature and optional module_filter and plots of the desired data.
2025-08-14T20:56:21.1024170Z 
2025-08-14T20:56:21.1024330Z For per channel features, it averages the value across the channels and plots a point
2025-08-14T20:56:21.1024710Z per module. The reason for this is that for models with hundreds of channels, it can
2025-08-14T20:56:21.1025090Z be hard to differentiate one channel line from another, and so the point of generating
2025-08-14T20:56:21.1025580Z a single average point per module is to give a sense of general trends that encourage
2025-08-14T20:56:21.1025890Z further deep dives.
2025-08-14T20:56:21.1025980Z 
2025-08-14T20:56:21.1026020Z Note:
2025-08-14T20:56:21.1026240Z     Only features in the report that have tensor value data are plottable by this class
2025-08-14T20:56:21.1026570Z     When the tensor information is plotted, it will plot:
2025-08-14T20:56:21.1026820Z         idx as the x val, feature value as the y_val
2025-08-14T20:56:21.1027060Z     When the channel information is plotted, it will plot:
2025-08-14T20:56:21.1027380Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-08-14T20:56:21.1027750Z         The reason for this is that we want to be able to compare values across the
2025-08-14T20:56:21.1028090Z         channels for same layer, and it will be hard if values are staggered by idx
2025-08-14T20:56:21.1028390Z         This means each module is represented by only 1 x value
2025-08-14T20:56:21.1028650Z Args:
2025-08-14T20:56:21.1028850Z     feature_filter (str): Filters the features presented to only those that
2025-08-14T20:56:21.1029110Z         contain this filter substring
2025-08-14T20:56:21.1029390Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:21.1029760Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:21.1029980Z 
2025-08-14T20:56:21.1030030Z Example Use:
2025-08-14T20:56:21.1030180Z     >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:21.1030410Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-08-14T20:56:21.1030690Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:21.1030920Z     ... )
2025-08-14T20:56:21.1031090Z     >>> # outputs line plot of per_channel_min information for all
2025-08-14T20:56:21.1031380Z     >>> # modules in block1 of model each channel gets it's own line,
2025-08-14T20:56:21.1031660Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-08-14T20:56:21.1031870Z 
2025-08-14T20:56:21.1032020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.1032230Z 
2025-08-14T20:56:21.1032830Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-08-14T20:56:21.1033640Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.1033850Z 
2025-08-14T20:56:21.1034010Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-08-14T20:56:21.1034250Z 
2025-08-14T20:56:21.1034290Z Note:
2025-08-14T20:56:21.1034510Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-08-14T20:56:21.1034890Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-08-14T20:56:21.1035260Z         a specific model, make sure to specify both the model and the feature properly
2025-08-14T20:56:21.1035620Z         in the filters and you should be able to see a distribution of the channel data
2025-08-14T20:56:21.1035840Z 
2025-08-14T20:56:21.1035880Z Args:
2025-08-14T20:56:21.1036100Z     feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:21.1036380Z         contain this filter substring
2025-08-14T20:56:21.1036610Z         Default = "", results in all the features being printed
2025-08-14T20:56:21.1036930Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:21.1037300Z         Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:21.1037650Z     num_bins (int, optional): The number of bins to create the histogram with
2025-08-14T20:56:21.1038000Z         Default = 10, the values will be split into 10 equal sized bins
2025-08-14T20:56:21.1038200Z 
2025-08-14T20:56:21.1038250Z Example Use:
2025-08-14T20:56:21.1038370Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:21.1038650Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-08-14T20:56:21.1039010Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:21.1039240Z     ... )
2025-08-14T20:56:21.1039460Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-08-14T20:56:21.1039840Z         information is gathered across all channels for all modules in block 1 for the
2025-08-14T20:56:21.1040190Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-08-14T20:56:21.1040390Z 
2025-08-14T20:56:21.1040540Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.4629170Z 
2025-08-14T20:56:21.4629920Z msg = Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-08-14T20:56:21.4630660Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.4630890Z 
2025-08-14T20:56:21.4631080Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-08-14T20:56:21.4631510Z with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-08-14T20:56:21.4631950Z though the requirements on the type of model more-so depends on the specific report the user
2025-08-14T20:56:21.4632400Z is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-08-14T20:56:21.4632850Z a set of Detector classes, each of which generate reports on quantization configuration
2025-08-14T20:56:21.4633140Z issues a use might have.
2025-08-14T20:56:21.4633250Z 
2025-08-14T20:56:21.4633330Z Currently supports generating reports on:
2025-08-14T20:56:21.4633780Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-08-14T20:56:21.4634160Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-08-14T20:56:21.4634560Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-08-14T20:56:21.4634940Z - Suggestions for outlier detection for all layers (Graph Modules)
2025-08-14T20:56:21.4635150Z 
2025-08-14T20:56:21.4635380Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-08-14T20:56:21.4635920Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-08-14T20:56:21.4636430Z class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-08-14T20:56:21.4636860Z has the capability to remove all the observers it inserted as well.
2025-08-14T20:56:21.4637060Z 
2025-08-14T20:56:21.4637240Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-08-14T20:56:21.4637480Z 
2025-08-14T20:56:21.4637700Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-08-14T20:56:21.4638190Z     Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-08-14T20:56:21.4638450Z 
2025-08-14T20:56:21.4638630Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-08-14T20:56:21.4639020Z     This set is generated by calling the get_detector_name() of each detector
2025-08-14T20:56:21.4639220Z 
2025-08-14T20:56:21.4639430Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-08-14T20:56:21.4639900Z     The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-08-14T20:56:21.4640360Z     can be removed at the end if desired
2025-08-14T20:56:21.4640500Z 
2025-08-14T20:56:21.4640770Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-08-14T20:56:21.4641170Z     This is to ensure we only insert observers once with the ModelReport instance
2025-08-14T20:56:21.4641380Z 
2025-08-14T20:56:21.4641540Z * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-08-14T20:56:21.4641940Z     The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-08-14T20:56:21.4642380Z     instance. This also allows the functionality where we can generate the report multiple times
2025-08-14T20:56:21.4642720Z     as long as we haven't removed the observers yet.
2025-08-14T20:56:21.4642890Z 
2025-08-14T20:56:21.4642930Z Note:
2025-08-14T20:56:21.4643180Z     This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-08-14T20:56:21.4643620Z     full functionality is available as long as there is a traceable GraphModule that is being used.
2025-08-14T20:56:21.4644060Z     One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-08-14T20:56:21.4644360Z     the QuantizationTracer class.
2025-08-14T20:56:21.4644490Z 
2025-08-14T20:56:21.4644550Z General Flow for Fx workflow:
2025-08-14T20:56:21.4644890Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-08-14T20:56:21.4645250Z 2.) Prepare your model with prepare_fx
2025-08-14T20:56:21.4645530Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-08-14T20:56:21.4645790Z 4.) Calibrate your model with data
2025-08-14T20:56:21.4646120Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-08-14T20:56:21.4646430Z Optional
2025-08-14T20:56:21.4646670Z     6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-08-14T20:56:21.4647090Z     7.) To help in parsing report information and debugging, view report info as a:
2025-08-14T20:56:21.4647350Z         - Table
2025-08-14T20:56:21.4647480Z         - Histogram
2025-08-14T20:56:21.4647600Z         - Line plot
2025-08-14T20:56:21.4647870Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-08-14T20:56:21.4648120Z 
2025-08-14T20:56:21.4648190Z Example (with QuantizationTracer):
2025-08-14T20:56:21.4648370Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:21.4648520Z     >>> # get the necessary qconfig
2025-08-14T20:56:21.4648710Z     >>> config = PrepareCustomConfig()
2025-08-14T20:56:21.4648930Z     >>> skipped_module_names, skipped_module_classes = (
2025-08-14T20:56:21.4649180Z     ...     get_skipped_module_name_and_classes(config, False)
2025-08-14T20:56:21.4649380Z     ... )
2025-08-14T20:56:21.4649450Z 
2025-08-14T20:56:21.4649530Z     >>> # initialize our model and get GraphModule
2025-08-14T20:56:21.4649730Z     >>> model = SomeModel()
2025-08-14T20:56:21.4649990Z     >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-08-14T20:56:21.4650310Z     >>> graph_module = GraphModule(model, tracer.trace(model))
2025-08-14T20:56:21.4650480Z 
2025-08-14T20:56:21.4650570Z     >>> # get our set of detectors and ModelReport instance
2025-08-14T20:56:21.4650780Z     >>> detector_set = set(
2025-08-14T20:56:21.4650930Z     ...     [
2025-08-14T20:56:21.4651080Z     ...         DynamicStaticDetector(tolerance=0.5),
2025-08-14T20:56:21.4651350Z     ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-08-14T20:56:21.4651580Z     ...     ]
2025-08-14T20:56:21.4651690Z     ... )
2025-08-14T20:56:21.4651880Z     >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-08-14T20:56:21.4652070Z 
2025-08-14T20:56:21.4652160Z     >>> # now we insert the observers and calibrate the model
2025-08-14T20:56:21.4652510Z     >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-08-14T20:56:21.4652820Z     >>> for i in range(num_callibration_batches):
2025-08-14T20:56:21.4653070Z     >>>     example_input = get_callibration_input()
2025-08-14T20:56:21.4653290Z     >>>     tracer_model_with_observers(example_input)
2025-08-14T20:56:21.4653440Z 
2025-08-14T20:56:21.4653590Z     >>> # finally we generate the reports and optionally remove the observers we inserted
2025-08-14T20:56:21.4653910Z     >>> reports = tracer_reporter.generate_model_report(
2025-08-14T20:56:21.4654130Z     ...     remove_inserted_observers=True
2025-08-14T20:56:21.4654300Z     ... )
2025-08-14T20:56:21.4654370Z 
2025-08-14T20:56:21.4654500Z     >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-08-14T20:56:21.4654800Z     >>> qconfigs = model_report.generate_qconfig_mapping()
2025-08-14T20:56:21.4654960Z 
2025-08-14T20:56:21.4655100Z     >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-08-14T20:56:21.4655430Z     >>> qconfigs = model_report.generate_equalization_mapping()
2025-08-14T20:56:21.4655610Z 
2025-08-14T20:56:21.4655780Z     >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-08-14T20:56:21.4656130Z     >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-08-14T20:56:21.4656330Z 
2025-08-14T20:56:21.4656330Z 
2025-08-14T20:56:21.4656480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.4656700Z 
2025-08-14T20:56:21.4657170Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-08-14T20:56:21.4657860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.4658180Z Squashes the sparse masks into the appropriate tensors.
2025-08-14T20:56:21.4658340Z 
2025-08-14T20:56:21.4658480Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-08-14T20:56:21.4658820Z         the module will have a `sparse_params` dict attached to it.
2025-08-14T20:56:21.4659000Z 
2025-08-14T20:56:21.4659050Z         Args:
2025-08-14T20:56:21.4659250Z             params_to_keep: List of keys to save in the module or a dict
2025-08-14T20:56:21.4659540Z                             representing the modules and keys that will have
2025-08-14T20:56:21.4659780Z                             sparsity parameters saved
2025-08-14T20:56:21.4660050Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-08-14T20:56:21.4660340Z                             saved for specific layers. The keys in the dict
2025-08-14T20:56:21.4660600Z                             should be the module fqn, while the values should
2025-08-14T20:56:21.4660870Z                             be a list of strings with the names of the variables
2025-08-14T20:56:21.4661110Z                             to save in the `sparse_params`
2025-08-14T20:56:21.4661260Z 
2025-08-14T20:56:21.4661300Z         Examples:
2025-08-14T20:56:21.4661470Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-08-14T20:56:21.4661680Z             >>> # Don't save any sparse params
2025-08-14T20:56:21.4661880Z             >>> sparsifier.squash_mask()
2025-08-14T20:56:21.4662090Z             >>> hasattr(model.submodule1, "sparse_params")
2025-08-14T20:56:21.4662280Z             False
2025-08-14T20:56:21.4662360Z 
2025-08-14T20:56:21.4662430Z             >>> # Keep sparse params per layer
2025-08-14T20:56:21.4662630Z             >>> sparsifier.squash_mask(
2025-08-14T20:56:21.4662820Z             ...     params_to_keep_per_layer={
2025-08-14T20:56:21.4663040Z             ...         "submodule1.linear1": ("foo", "bar"),
2025-08-14T20:56:21.4663270Z             ...         "submodule2.linear42": ("baz",),
2025-08-14T20:56:21.4663450Z             ...     }
2025-08-14T20:56:21.4663580Z             ... )
2025-08-14T20:56:21.4663990Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:21.4664220Z             {'foo': 42, 'bar': 24}
2025-08-14T20:56:21.4664450Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:21.4664670Z             {'baz': 0.1}
2025-08-14T20:56:21.4664770Z 
2025-08-14T20:56:21.4664840Z             >>> # Keep sparse params for all layers
2025-08-14T20:56:21.4665090Z             >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-08-14T20:56:21.4665360Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:21.4665580Z             {'foo': 42, 'bar': 24}
2025-08-14T20:56:21.4665790Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:21.4666000Z             {'foo': 42, 'bar': 24}
2025-08-14T20:56:21.4666120Z 
2025-08-14T20:56:21.4666240Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-08-14T20:56:21.4666480Z             >>> # some other layers
2025-08-14T20:56:21.4666660Z             >>> sparsifier.squash_mask(
2025-08-14T20:56:21.4666870Z             ...     params_to_keep=("foo", "bar"),
2025-08-14T20:56:21.4667130Z             ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-08-14T20:56:21.4667360Z             ... )
2025-08-14T20:56:21.4667530Z             >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:21.4667740Z             {'foo': 42, 'bar': 24}
2025-08-14T20:56:21.4667950Z             >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:21.4668180Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-08-14T20:56:21.4668350Z         
2025-08-14T20:56:21.4668560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5605420Z 
2025-08-14T20:56:21.5606170Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-08-14T20:56:21.5607030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5607390Z 
2025-08-14T20:56:21.5607550Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-14T20:56:21.5607920Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-14T20:56:21.5608290Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-14T20:56:21.5608570Z input by the user.
2025-08-14T20:56:21.5608800Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-14T20:56:21.5609120Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-14T20:56:21.5609290Z 
2025-08-14T20:56:21.5609350Z Note::
2025-08-14T20:56:21.5609620Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-14T20:56:21.5609880Z 
2025-08-14T20:56:21.5609930Z Args:
2025-08-14T20:56:21.5610050Z     model (nn.Module):
2025-08-14T20:56:21.5610300Z         The model whose layers will be sparsified. The layers that needs to be
2025-08-14T20:56:21.5610680Z         sparsified should be added separately using the register_layer() function
2025-08-14T20:56:21.5610970Z     aggregate_fn (Optional, Callable):
2025-08-14T20:56:21.5611270Z         default aggregate_fn that is used if not specified while registering the layer.
2025-08-14T20:56:21.5611600Z         specifies how inputs should be aggregated over time.
2025-08-14T20:56:21.5611950Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-14T20:56:21.5612220Z         Example
2025-08-14T20:56:21.5612420Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-14T20:56:21.5612660Z             reduce_fn (Optional, Callable):
2025-08-14T20:56:21.5612940Z                 default reduce_fn that is used if not specified while registering the layer.
2025-08-14T20:56:21.5613400Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-14T20:56:21.5613720Z                 calling agg_fn() on all inputs.
2025-08-14T20:56:21.5613970Z                 Example
2025-08-14T20:56:21.5614190Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-14T20:56:21.5614430Z             mask_fn (Optional, Callable):
2025-08-14T20:56:21.5614750Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-14T20:56:21.5615140Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-14T20:56:21.5615420Z                 register_layer().
2025-08-14T20:56:21.5615740Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-14T20:56:21.5616060Z                 arguments.
2025-08-14T20:56:21.5616220Z             features (Optional, list):
2025-08-14T20:56:21.5616430Z                 default selected features to sparsify.
2025-08-14T20:56:21.5616740Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-14T20:56:21.5617020Z                 For example,
2025-08-14T20:56:21.5617280Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-14T20:56:21.5617560Z             feature_dim (Optional, int):
2025-08-14T20:56:21.5617860Z                 default dimension of input features. Again, features along this dim will be chosen
2025-08-14T20:56:21.5618150Z                 for sparsification.
2025-08-14T20:56:21.5618330Z             sparse_config (Dict):
2025-08-14T20:56:21.5618580Z                 Default configuration for the mask_fn. This config will be passed
2025-08-14T20:56:21.5618830Z                 with the mask_fn()
2025-08-14T20:56:21.5618950Z 
2025-08-14T20:56:21.5619000Z Example:
2025-08-14T20:56:21.5619110Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:21.5619270Z     >>> model = SomeModel()
2025-08-14T20:56:21.5619520Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-14T20:56:21.5619820Z     >>> # Initialize aggregate_fn
2025-08-14T20:56:21.5619990Z     >>> def agg_fn(x, y):
2025-08-14T20:56:21.5620140Z     >>>     return x + y
2025-08-14T20:56:21.5620280Z     >>>
2025-08-14T20:56:21.5620400Z     >>> # Initialize reduce_fn
2025-08-14T20:56:21.5620600Z     >>> def reduce_fn(x):
2025-08-14T20:56:21.5620770Z     >>>     return torch.mean(x, dim=0)
2025-08-14T20:56:21.5626040Z     >>>
2025-08-14T20:56:21.5626160Z     >>> # Initialize mask_fn
2025-08-14T20:56:21.5626320Z     >>> def mask_fn(data):
2025-08-14T20:56:21.5626510Z     >>>     return torch.eye(data.shape).to(data.device)
2025-08-14T20:56:21.5626700Z     >>>
2025-08-14T20:56:21.5626800Z     >>>
2025-08-14T20:56:21.5626920Z     >>> act_sparsifier.register_layer(
2025-08-14T20:56:21.5627110Z     ...     model.some_layer,
2025-08-14T20:56:21.5627280Z     ...     aggregate_fn=agg_fn,
2025-08-14T20:56:21.5627440Z     ...     reduce_fn=reduce_fn,
2025-08-14T20:56:21.5627610Z     ...     mask_fn=mask_fn,
2025-08-14T20:56:21.5627750Z     ... )
2025-08-14T20:56:21.5627850Z     >>>
2025-08-14T20:56:21.5627970Z     >>> # start training process
2025-08-14T20:56:21.5628120Z     >>> for _ in [...]:
2025-08-14T20:56:21.5628260Z     >>> # epoch starts
2025-08-14T20:56:21.5628450Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-08-14T20:56:21.5628670Z     >>> # epoch ends
2025-08-14T20:56:21.5628820Z     >>>     act_sparsifier.step()
2025-08-14T20:56:21.5628990Z     >>> # end training process
2025-08-14T20:56:21.5629150Z     >>> sparsifier.squash_mask()
2025-08-14T20:56:21.5629270Z 
2025-08-14T20:56:21.5629420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5629630Z 
2025-08-14T20:56:21.5630270Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-08-14T20:56:21.5631080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5631300Z 
2025-08-14T20:56:21.5631420Z Abstract method that needs to be implemented by the child class.
2025-08-14T20:56:21.5631760Z The expected return type should is a dictionary of name to schedule_param value
2025-08-14T20:56:21.5632130Z The returned values will be updated in sparsifier when the scheduler step() function
2025-08-14T20:56:21.5632400Z is called.
2025-08-14T20:56:21.5632470Z 
2025-08-14T20:56:21.5632510Z Example:
2025-08-14T20:56:21.5632640Z     >>> def get_schedule_param(self):
2025-08-14T20:56:21.5632810Z     ...     new_param = {}
2025-08-14T20:56:21.5633000Z     ...     for name in self.sparsifier.data_groups.keys():
2025-08-14T20:56:21.5633220Z     ...         new_param[name] = (
2025-08-14T20:56:21.5633460Z     ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-08-14T20:56:21.5633700Z     ...         )
2025-08-14T20:56:21.5633830Z     ...     return new_param
2025-08-14T20:56:21.5633940Z 
2025-08-14T20:56:21.5634140Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-08-14T20:56:21.5634450Z would be halved
2025-08-14T20:56:21.5634540Z 
2025-08-14T20:56:21.5634690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5634900Z 
2025-08-14T20:56:21.5635330Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-08-14T20:56:21.5635970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5636190Z 
2025-08-14T20:56:21.5636300Z Creates a RelaxedBernoulli distribution, parametrized by
2025-08-14T20:56:21.5636580Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-08-14T20:56:21.5636890Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-08-14T20:56:21.5637250Z so the values are in (0, 1), and has reparametrizable samples.
2025-08-14T20:56:21.5637430Z 
2025-08-14T20:56:21.5637480Z Example::
2025-08-14T20:56:21.5637550Z 
2025-08-14T20:56:21.5637630Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:21.5637860Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-08-14T20:56:21.5638090Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-08-14T20:56:21.5638280Z     >>> m.sample()
2025-08-14T20:56:21.5638430Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-08-14T20:56:21.5638560Z 
2025-08-14T20:56:21.5638600Z Args:
2025-08-14T20:56:21.5638740Z     temperature (Tensor): relaxation temperature
2025-08-14T20:56:21.5638990Z     probs (Number, Tensor): the probability of sampling `1`
2025-08-14T20:56:21.5639250Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-08-14T20:56:21.5639410Z 
2025-08-14T20:56:21.5639560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5639780Z 
2025-08-14T20:56:21.5640240Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-08-14T20:56:21.5640900Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5641120Z 
2025-08-14T20:56:21.5641250Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-08-14T20:56:21.5641550Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-08-14T20:56:21.5641870Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-08-14T20:56:21.5642180Z its samples are on simplex, and are reparametrizable.
2025-08-14T20:56:21.5642340Z 
2025-08-14T20:56:21.5642390Z Example::
2025-08-14T20:56:21.5642450Z 
2025-08-14T20:56:21.5642580Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:21.5642820Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-08-14T20:56:21.5643090Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-08-14T20:56:21.5643280Z     >>> m.sample()
2025-08-14T20:56:21.5643430Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-08-14T20:56:21.5643570Z 
2025-08-14T20:56:21.5643610Z Args:
2025-08-14T20:56:21.5643750Z     temperature (Tensor): relaxation temperature
2025-08-14T20:56:21.5643960Z     probs (Tensor): event probabilities
2025-08-14T20:56:21.5644200Z     logits (Tensor): unnormalized log probability for each event
2025-08-14T20:56:21.5644380Z 
2025-08-14T20:56:21.5644530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5644740Z 
2025-08-14T20:56:21.5645230Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-08-14T20:56:21.5645920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5646140Z 
2025-08-14T20:56:21.5646310Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-08-14T20:56:21.5646670Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-08-14T20:56:21.5646840Z 
2025-08-14T20:56:21.5646950Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-08-14T20:56:21.5647120Z 
2025-08-14T20:56:21.5647160Z Example:
2025-08-14T20:56:21.5647310Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T20:56:21.5647540Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:21.5647760Z     >>> m = LowRankMultivariateNormal(
2025-08-14T20:56:21.5648000Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-08-14T20:56:21.5648220Z     ... )
2025-08-14T20:56:21.5648460Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-08-14T20:56:21.5648790Z     tensor([-0.2102, -0.5429])
2025-08-14T20:56:21.5648900Z 
2025-08-14T20:56:21.5648940Z Args:
2025-08-14T20:56:21.5649150Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-08-14T20:56:21.5649510Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-08-14T20:56:21.5649800Z         `batch_shape + event_shape + (rank,)`
2025-08-14T20:56:21.5650090Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-08-14T20:56:21.5650370Z         `batch_shape + event_shape`
2025-08-14T20:56:21.5650500Z 
2025-08-14T20:56:21.5650540Z Note:
2025-08-14T20:56:21.5650760Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-08-14T20:56:21.5651130Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-08-14T20:56:21.5651470Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-08-14T20:56:21.5651840Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-08-14T20:56:21.5652230Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-08-14T20:56:21.5652510Z     the small size "capacitance" matrix::
2025-08-14T20:56:21.5652640Z 
2025-08-14T20:56:21.5652760Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-08-14T20:56:21.5652940Z 
2025-08-14T20:56:21.5653090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5896850Z 
2025-08-14T20:56:21.5897570Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-08-14T20:56:21.5898320Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:21.5898570Z 
2025-08-14T20:56:21.5899000Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-08-14T20:56:21.5899380Z distribution where all component are from different parameterizations of
2025-08-14T20:56:21.5899820Z the same distribution type. It is parameterized by a `Categorical`
2025-08-14T20:56:21.5900150Z "selecting distribution" (over `k` component) and a component
2025-08-14T20:56:21.5900470Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-08-14T20:56:21.5900760Z (equal to `[k]`) which indexes each (batch of) component.
2025-08-14T20:56:21.5900930Z 
2025-08-14T20:56:21.5901000Z Examples::
2025-08-14T20:56:21.5901070Z 
2025-08-14T20:56:21.5901150Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:21.5901420Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-08-14T20:56:21.5901680Z     >>> # weighted normal distributions
2025-08-14T20:56:21.5901880Z     >>> mix = D.Categorical(torch.ones(5,))
2025-08-14T20:56:21.5902120Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-08-14T20:56:21.5902360Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:21.5902500Z 
2025-08-14T20:56:21.5902620Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-08-14T20:56:21.5902890Z     >>> # weighted bivariate normal distributions
2025-08-14T20:56:21.5903100Z     >>> mix = D.Categorical(torch.ones(5,))
2025-08-14T20:56:21.5903290Z     >>> comp = D.Independent(D.Normal(
2025-08-14T20:56:21.5903500Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-08-14T20:56:21.5903710Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:21.5903840Z 
2025-08-14T20:56:21.5903950Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-08-14T20:56:21.5904260Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-08-14T20:56:21.5904510Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-08-14T20:56:21.5904700Z     >>> comp = D.Independent(D.Normal(
2025-08-14T20:56:21.5904910Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-08-14T20:56:21.5905190Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:21.5905330Z 
2025-08-14T20:56:21.5905370Z Args:
2025-08-14T20:56:21.5905560Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-08-14T20:56:21.5905870Z         instance. Manages the probability of selecting component.
2025-08-14T20:56:21.5906140Z         The number of categories must match the rightmost batch
2025-08-14T20:56:21.5906420Z         dimension of the `component_distribution`. Must have either
2025-08-14T20:56:21.5906690Z         scalar `batch_shape` or `batch_shape` matching
2025-08-14T20:56:21.5906910Z         `component_distribution.batch_shape[:-1]`
2025-08-14T20:56:21.5907190Z     component_distribution: `torch.distributions.Distribution`-like
2025-08-14T20:56:21.5907490Z         instance. Right-most batch dimension indexes component.
2025-08-14T20:56:21.5907670Z 
2025-08-14T20:56:21.5907820Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:21.5908040Z 
2025-08-14T20:56:21.5908090Z gathering tests
2025-08-14T20:56:21.5908220Z running 732 test(s)
2025-08-14T20:56:21.5908660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file
2025-08-14T20:56:21.5909320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::typename:0
2025-08-14T20:56:21.5909980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file
2025-08-14T20:56:21.5910630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0
2025-08-14T20:56:21.5911300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file
2025-08-14T20:56:21.5912050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0
2025-08-14T20:56:21.5912790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file
2025-08-14T20:56:21.5913510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-08-14T20:56:21.5914210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file
2025-08-14T20:56:21.5914900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0
2025-08-14T20:56:21.5915630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file
2025-08-14T20:56:21.5916400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-08-14T20:56:21.5917110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2567 <- wrt source file
2025-08-14T20:56:21.5917760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::compile:0
2025-08-14T20:56:21.5918480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2840 <- wrt source file
2025-08-14T20:56:21.5919240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-08-14T20:56:21.5919970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file
2025-08-14T20:56:21.5920670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library.define:0
2025-08-14T20:56:21.5921380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file
2025-08-14T20:56:21.5922140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-08-14T20:56:21.5922850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file
2025-08-14T20:56:21.5923530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::Library.impl:0
2025-08-14T20:56:21.5924180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::define:0, line 512 <- wrt source file
2025-08-14T20:56:21.5924820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::define:0
2025-08-14T20:56:21.5925440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::impl:0, line 618 <- wrt source file
2025-08-14T20:56:21.5926080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::impl:0
2025-08-14T20:56:21.5926730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file
2025-08-14T20:56:21.5927410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_kernel:0
2025-08-14T20:56:21.5928180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file
2025-08-14T20:56:21.5928920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_autocast:0
2025-08-14T20:56:21.5929620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file
2025-08-14T20:56:21.5930350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0
2025-08-14T20:56:21.5931040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file
2025-08-14T20:56:21.5931720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py::register_vmap:0
2025-08-14T20:56:21.5932390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-08-14T20:56:21.5933060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0
2025-08-14T20:56:21.5933710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-08-14T20:56:21.5934350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0
2025-08-14T20:56:21.5935010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-08-14T20:56:21.5935690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-08-14T20:56:21.6078990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-08-14T20:56:21.6079780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0
2025-08-14T20:56:21.6080520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-08-14T20:56:21.6081250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0
2025-08-14T20:56:21.6081990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-08-14T20:56:21.6082750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0
2025-08-14T20:56:21.6083510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 422 <- wrt source file
2025-08-14T20:56:21.6084250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0
2025-08-14T20:56:21.6085000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1577 <- wrt source file
2025-08-14T20:56:21.6085730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0
2025-08-14T20:56:21.6086660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1712 <- wrt source file
2025-08-14T20:56:21.6087410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0
2025-08-14T20:56:21.6088260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1960 <- wrt source file
2025-08-14T20:56:21.6089040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-08-14T20:56:21.6089770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1979 <- wrt source file
2025-08-14T20:56:21.6090460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0
2025-08-14T20:56:21.6091160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-08-14T20:56:21.6091910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-08-14T20:56:21.6092630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-08-14T20:56:21.6093320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-08-14T20:56:21.6094060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file
2025-08-14T20:56:21.6094860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-08-14T20:56:21.6095670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-08-14T20:56:21.6096370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-08-14T20:56:21.6097050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-08-14T20:56:21.6097730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-08-14T20:56:21.6098400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-08-14T20:56:21.6099060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0
2025-08-14T20:56:21.6099740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file
2025-08-14T20:56:21.6100430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-08-14T20:56:21.6101070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py::list:0, line 473 <- wrt source file
2025-08-14T20:56:21.6101670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py::list:0
2025-08-14T20:56:21.6102270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py::help:0, line 533 <- wrt source file
2025-08-14T20:56:21.6102970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py::help:0
2025-08-14T20:56:21.6103620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-08-14T20:56:21.6104350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-08-14T20:56:21.6105050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-08-14T20:56:21.6105740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0
2025-08-14T20:56:21.6106430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-08-14T20:56:21.6107120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0
2025-08-14T20:56:21.6107790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::split:0, line 193 <- wrt source file
2025-08-14T20:56:21.6108440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::split:0
2025-08-14T20:56:21.6109080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 307 <- wrt source file
2025-08-14T20:56:21.6109720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::einsum:0
2025-08-14T20:56:21.6110410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 1041 <- wrt source file
2025-08-14T20:56:21.6111150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-08-14T20:56:21.6111940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1316 <- wrt source file
2025-08-14T20:56:21.6112620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::tensordot:0
2025-08-14T20:56:21.6113300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1400 <- wrt source file
2025-08-14T20:56:21.6114000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0
2025-08-14T20:56:21.6114690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1434 <- wrt source file
2025-08-14T20:56:21.6115370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::block_diag:0
2025-08-14T20:56:21.6116030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1490 <- wrt source file
2025-08-14T20:56:21.6116670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::cdist:0
2025-08-14T20:56:21.6117330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1531 <- wrt source file
2025-08-14T20:56:22.3634500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0
2025-08-14T20:56:22.3635620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1569 <- wrt source file
2025-08-14T20:56:22.3636440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0
2025-08-14T20:56:22.3637280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1609 <- wrt source file
2025-08-14T20:56:22.3638020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0
2025-08-14T20:56:22.3638750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1784 <- wrt source file
2025-08-14T20:56:22.3639460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::norm:0
2025-08-14T20:56:22.3640250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1952 <- wrt source file
2025-08-14T20:56:22.3641050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::unravel_index:0
2025-08-14T20:56:22.3646380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2052 <- wrt source file
2025-08-14T20:56:22.3647150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0
2025-08-14T20:56:22.3647910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2153 <- wrt source file
2025-08-14T20:56:22.3648640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0
2025-08-14T20:56:22.3649410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0, line 15 <- wrt source file
2025-08-14T20:56:22.3650290Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0
2025-08-14T20:56:22.3651090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0, line 5 <- wrt source file
2025-08-14T20:56:22.3651900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0
2025-08-14T20:56:22.3652700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-08-14T20:56:22.3653490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0
2025-08-14T20:56:22.3654270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-08-14T20:56:22.3655050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0
2025-08-14T20:56:22.3655820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-08-14T20:56:22.3656580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::skip_data:0
2025-08-14T20:56:22.3657380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-08-14T20:56:22.3658180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::register_package:0
2025-08-14T20:56:22.3659040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-08-14T20:56:22.3659830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py::save:0
2025-08-14T20:56:22.3660630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-08-14T20:56:22.3661490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-08-14T20:56:22.3662330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file
2025-08-14T20:56:22.3663180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-08-14T20:56:22.3664010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file
2025-08-14T20:56:22.3664830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-08-14T20:56:22.3665630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-08-14T20:56:22.3666400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0
2025-08-14T20:56:22.3667160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file
2025-08-14T20:56:22.3667930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-08-14T20:56:22.3668790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file
2025-08-14T20:56:22.3669590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-08-14T20:56:22.3670380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-08-14T20:56:22.3671160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0
2025-08-14T20:56:22.3671970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-08-14T20:56:22.3672820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-08-14T20:56:22.3673630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-08-14T20:56:22.3674430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0
2025-08-14T20:56:22.3675200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-08-14T20:56:22.3675930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0
2025-08-14T20:56:22.3676810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-08-14T20:56:22.3677720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-08-14T20:56:22.3678520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 345 <- wrt source file
2025-08-14T20:56:22.3679250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::save:0
2025-08-14T20:56:22.3679980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 415 <- wrt source file
2025-08-14T20:56:22.3680710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::load:0
2025-08-14T20:56:22.3681480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 572 <- wrt source file
2025-08-14T20:56:22.5500360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0
2025-08-14T20:56:22.5501130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-08-14T20:56:22.5501900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-08-14T20:56:22.5502640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-08-14T20:56:22.5503380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-08-14T20:56:22.5504250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-08-14T20:56:22.5504940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0
2025-08-14T20:56:22.5505670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-08-14T20:56:22.5506440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-08-14T20:56:22.5507190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-08-14T20:56:22.5507910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0
2025-08-14T20:56:22.5508640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 125 <- wrt source file
2025-08-14T20:56:22.5509390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-08-14T20:56:22.5510140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 181 <- wrt source file
2025-08-14T20:56:22.5510900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-08-14T20:56:22.5511750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 411 <- wrt source file
2025-08-14T20:56:22.5512510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-08-14T20:56:22.5513210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 443 <- wrt source file
2025-08-14T20:56:22.5513920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-08-14T20:56:22.5514630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 464 <- wrt source file
2025-08-14T20:56:22.5515360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-08-14T20:56:22.5516110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0, line 482 <- wrt source file
2025-08-14T20:56:22.5516820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-08-14T20:56:22.5517530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 497 <- wrt source file
2025-08-14T20:56:22.5518260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-08-14T20:56:22.5518990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 512 <- wrt source file
2025-08-14T20:56:22.5519720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-08-14T20:56:22.5520530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-08-14T20:56:22.5521320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-08-14T20:56:22.5522050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 105 <- wrt source file
2025-08-14T20:56:22.5522750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-08-14T20:56:22.5523430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0, line 77 <- wrt source file
2025-08-14T20:56:22.5524120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0
2025-08-14T20:56:22.5524800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 155 <- wrt source file
2025-08-14T20:56:22.5525490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-08-14T20:56:22.5526200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 423 <- wrt source file
2025-08-14T20:56:22.5526930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-08-14T20:56:22.5527820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 133 <- wrt source file
2025-08-14T20:56:22.5528660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-08-14T20:56:22.5529480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 269 <- wrt source file
2025-08-14T20:56:22.5530320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-08-14T20:56:22.5531090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-08-14T20:56:22.5531780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-08-14T20:56:22.5532480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-08-14T20:56:22.5533160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0
2025-08-14T20:56:22.5533850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-08-14T20:56:22.5534560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-08-14T20:56:22.5535280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file
2025-08-14T20:56:22.5536010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-08-14T20:56:22.5536780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-08-14T20:56:22.5537490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-08-14T20:56:22.5538210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-08-14T20:56:22.5578450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-08-14T20:56:22.5579250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-08-14T20:56:22.5579990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-08-14T20:56:22.5580740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-08-14T20:56:22.5581490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-08-14T20:56:22.5582240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-08-14T20:56:22.5582990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-08-14T20:56:22.5583920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-08-14T20:56:22.5584760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-08-14T20:56:22.5585520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-08-14T20:56:22.5586250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-08-14T20:56:22.5587010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-08-14T20:56:22.5587810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-08-14T20:56:22.5588590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-08-14T20:56:22.5589370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-08-14T20:56:22.5590210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file
2025-08-14T20:56:22.5591070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-08-14T20:56:22.5591920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file
2025-08-14T20:56:22.5592930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-08-14T20:56:22.5593710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-08-14T20:56:22.5594430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-08-14T20:56:22.5595160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-08-14T20:56:22.5595900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-08-14T20:56:22.5596640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-08-14T20:56:22.5597390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-08-14T20:56:22.5598130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-08-14T20:56:22.5598870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-08-14T20:56:22.5599700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-08-14T20:56:22.5600520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-08-14T20:56:22.5601360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-08-14T20:56:22.5602100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-08-14T20:56:22.5602830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-08-14T20:56:22.5603530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-08-14T20:56:22.5604250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-08-14T20:56:22.5604960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-08-14T20:56:22.5605720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1386 <- wrt source file
2025-08-14T20:56:22.5606510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-08-14T20:56:22.5607350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 157 <- wrt source file
2025-08-14T20:56:22.5608240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-08-14T20:56:22.5609130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file
2025-08-14T20:56:22.5609930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-08-14T20:56:22.5610740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file
2025-08-14T20:56:22.5611550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-08-14T20:56:22.5612310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file
2025-08-14T20:56:22.5613010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-08-14T20:56:22.5613710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file
2025-08-14T20:56:22.5614380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0
2025-08-14T20:56:22.5615070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file
2025-08-14T20:56:22.5615760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0
2025-08-14T20:56:22.5616770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file
2025-08-14T20:56:22.5641350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0
2025-08-14T20:56:22.5642100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file
2025-08-14T20:56:22.5642800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0
2025-08-14T20:56:22.5643500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file
2025-08-14T20:56:22.5644200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0
2025-08-14T20:56:22.5644930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file
2025-08-14T20:56:22.5645670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-08-14T20:56:22.5646430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file
2025-08-14T20:56:22.5647210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-08-14T20:56:22.5647950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file
2025-08-14T20:56:22.5648610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/functional.py::pad:0
2025-08-14T20:56:22.5649380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-08-14T20:56:22.5650020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0
2025-08-14T20:56:22.5650650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-08-14T20:56:22.5651280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::normal_:0
2025-08-14T20:56:22.5651920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-08-14T20:56:22.5652580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0
2025-08-14T20:56:22.5653230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-08-14T20:56:22.5653870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::constant_:0
2025-08-14T20:56:22.5654500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-08-14T20:56:22.5655130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::ones_:0
2025-08-14T20:56:22.5655740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-08-14T20:56:22.5656460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0
2025-08-14T20:56:22.5657120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-08-14T20:56:22.5657730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::eye_:0
2025-08-14T20:56:22.5658350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-08-14T20:56:22.5658970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0
2025-08-14T20:56:22.5659610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-08-14T20:56:22.5660280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-08-14T20:56:22.5660940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-08-14T20:56:22.5661620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0
2025-08-14T20:56:22.5662310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-08-14T20:56:22.5662980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-08-14T20:56:22.5663650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-08-14T20:56:22.5664320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-08-14T20:56:22.5665040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-08-14T20:56:22.5665700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0
2025-08-14T20:56:22.5666340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-08-14T20:56:22.5666990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0
2025-08-14T20:56:22.5667630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-08-14T20:56:22.5668290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0
2025-08-14T20:56:22.5668950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-08-14T20:56:22.5669600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-08-14T20:56:22.5670270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-08-14T20:56:22.5670930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0
2025-08-14T20:56:22.5671580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-08-14T20:56:22.5672320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-08-14T20:56:22.5673030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-08-14T20:56:22.5673690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0
2025-08-14T20:56:22.5674340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-08-14T20:56:22.5675010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-08-14T20:56:22.5675710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file
2025-08-14T20:56:22.5676470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-08-14T20:56:22.5677240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-08-14T20:56:22.5677970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-08-14T20:56:22.5678700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-08-14T20:56:22.5679460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-08-14T20:56:24.0275460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-08-14T20:56:24.0276620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-08-14T20:56:24.0277510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file
2025-08-14T20:56:24.0278400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-08-14T20:56:24.0279300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file
2025-08-14T20:56:24.0280220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-08-14T20:56:24.0281160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file
2025-08-14T20:56:24.0282080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-08-14T20:56:24.0283020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file
2025-08-14T20:56:24.0284100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-08-14T20:56:24.0284960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-08-14T20:56:24.0285780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-08-14T20:56:24.0286530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file
2025-08-14T20:56:24.0287300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-08-14T20:56:24.0288070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-08-14T20:56:24.0288800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-08-14T20:56:24.0289570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-08-14T20:56:24.0290370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-08-14T20:56:24.0291130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-08-14T20:56:24.0291840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-08-14T20:56:24.0292580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-08-14T20:56:24.0293390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-08-14T20:56:24.0294110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-08-14T20:56:24.0294780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0
2025-08-14T20:56:24.0295480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file
2025-08-14T20:56:24.0296210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-08-14T20:56:24.0296940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file
2025-08-14T20:56:24.0297640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-08-14T20:56:24.0298340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file
2025-08-14T20:56:24.0299050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-08-14T20:56:24.0299740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-08-14T20:56:24.0300500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0
2025-08-14T20:56:24.0301180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file
2025-08-14T20:56:24.0301920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-08-14T20:56:24.0302630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-08-14T20:56:24.0303380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-08-14T20:56:24.0304130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-08-14T20:56:24.0309160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-08-14T20:56:24.0309960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-08-14T20:56:24.0310740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-08-14T20:56:24.0311460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-08-14T20:56:24.0312130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0
2025-08-14T20:56:24.0312820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-08-14T20:56:24.0313580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-08-14T20:56:24.0314270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-08-14T20:56:24.0314960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-08-14T20:56:24.0315660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-08-14T20:56:24.0316350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-08-14T20:56:24.0317050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-08-14T20:56:24.0317740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-08-14T20:56:24.0318570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-08-14T20:56:24.3398390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-08-14T20:56:24.3399390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-08-14T20:56:24.3400620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-08-14T20:56:24.3401510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-08-14T20:56:24.3402250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-08-14T20:56:24.3403030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-08-14T20:56:24.3403850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-08-14T20:56:24.3404680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-08-14T20:56:24.3405490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-08-14T20:56:24.3406430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-08-14T20:56:24.3407240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-08-14T20:56:24.3408000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-08-14T20:56:24.3408790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-08-14T20:56:24.3409590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-08-14T20:56:24.3410490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-08-14T20:56:24.3411370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-08-14T20:56:24.3412250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-08-14T20:56:24.3412990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-08-14T20:56:24.3413690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-08-14T20:56:24.3414440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file
2025-08-14T20:56:24.3415250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-08-14T20:56:24.3416060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file
2025-08-14T20:56:24.3416900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-08-14T20:56:24.3417620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file
2025-08-14T20:56:24.3418490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-08-14T20:56:24.3419230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-08-14T20:56:24.3419920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0
2025-08-14T20:56:24.3420640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-08-14T20:56:24.3421320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0
2025-08-14T20:56:24.3422000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-08-14T20:56:24.3422680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-08-14T20:56:24.3423450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-08-14T20:56:24.3424230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-08-14T20:56:24.3424970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-08-14T20:56:24.3425710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-08-14T20:56:24.3426400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-08-14T20:56:24.3427150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-08-14T20:56:24.3427850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-08-14T20:56:24.3428720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-08-14T20:56:24.3429430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-08-14T20:56:24.3430140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-08-14T20:56:24.3430840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-08-14T20:56:24.3431540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-08-14T20:56:24.3432320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-08-14T20:56:24.3433090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-08-14T20:56:24.3433790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-08-14T20:56:24.3434520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-08-14T20:56:24.3435250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-08-14T20:56:24.3436080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-08-14T20:56:24.3436840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-08-14T20:56:24.3437660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-08-14T20:56:24.3438390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file
2025-08-14T20:56:24.3439120Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-08-14T20:56:24.3456770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file
2025-08-14T20:56:24.3457640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-08-14T20:56:24.3458380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file
2025-08-14T20:56:24.3459110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-08-14T20:56:24.3459870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file
2025-08-14T20:56:24.3460800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-08-14T20:56:24.3461540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file
2025-08-14T20:56:24.3462290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-08-14T20:56:24.3463030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file
2025-08-14T20:56:24.3463850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-08-14T20:56:24.3464640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file
2025-08-14T20:56:24.3465490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-08-14T20:56:24.3466420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file
2025-08-14T20:56:24.3467280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-08-14T20:56:24.3468060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file
2025-08-14T20:56:24.3468990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-08-14T20:56:24.3469820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-08-14T20:56:24.3470630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-08-14T20:56:24.3471370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-08-14T20:56:24.3472190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-08-14T20:56:24.3472920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-08-14T20:56:24.3473640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0
2025-08-14T20:56:24.3474390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file
2025-08-14T20:56:24.3475150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-08-14T20:56:24.3475900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file
2025-08-14T20:56:24.3476690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-08-14T20:56:24.3477440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file
2025-08-14T20:56:24.3478360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-08-14T20:56:24.3479100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file
2025-08-14T20:56:24.3479900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-08-14T20:56:24.3480620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file
2025-08-14T20:56:24.3481410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-08-14T20:56:24.3482220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file
2025-08-14T20:56:24.3482960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-08-14T20:56:24.3483690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file
2025-08-14T20:56:24.3484510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-08-14T20:56:24.3485250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-08-14T20:56:24.3486130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-08-14T20:56:24.3486930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-08-14T20:56:24.3487800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-08-14T20:56:24.3488650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-08-14T20:56:24.3489320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-08-14T20:56:24.3489990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file
2025-08-14T20:56:24.3490670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-08-14T20:56:24.3491370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file
2025-08-14T20:56:24.3492070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-08-14T20:56:24.3492780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file
2025-08-14T20:56:24.3493500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-08-14T20:56:24.3494210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file
2025-08-14T20:56:24.3494930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-08-14T20:56:24.3495610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file
2025-08-14T20:56:24.3496280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-08-14T20:56:24.3496960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file
2025-08-14T20:56:25.1295830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-08-14T20:56:25.1296650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file
2025-08-14T20:56:25.1297420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-08-14T20:56:25.1298160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file
2025-08-14T20:56:25.1298890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-08-14T20:56:25.1299620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file
2025-08-14T20:56:25.1300360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-08-14T20:56:25.1301330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file
2025-08-14T20:56:25.1302130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-08-14T20:56:25.1302860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file
2025-08-14T20:56:25.1303570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-08-14T20:56:25.1304300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file
2025-08-14T20:56:25.1305040Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-08-14T20:56:25.1305770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file
2025-08-14T20:56:25.1306490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-08-14T20:56:25.1307220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file
2025-08-14T20:56:25.1307930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-08-14T20:56:25.1308640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file
2025-08-14T20:56:25.1309370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-08-14T20:56:25.1310180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-08-14T20:56:25.1310900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-08-14T20:56:25.1311610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-08-14T20:56:25.1312320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-08-14T20:56:25.1313020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-08-14T20:56:25.1313710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-08-14T20:56:25.1314420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-08-14T20:56:25.1315130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-08-14T20:56:25.1315840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-08-14T20:56:25.1316530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-08-14T20:56:25.1317310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-08-14T20:56:25.1318060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-08-14T20:56:25.1318780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-08-14T20:56:25.1319500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-08-14T20:56:25.1320210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-08-14T20:56:25.1320900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-08-14T20:56:25.1321600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-08-14T20:56:25.1322300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-08-14T20:56:25.1322990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-08-14T20:56:25.1323680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0
2025-08-14T20:56:25.1324380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-08-14T20:56:25.1325100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-08-14T20:56:25.1325860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-08-14T20:56:25.1326580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0
2025-08-14T20:56:25.1327300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-08-14T20:56:25.1328020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0
2025-08-14T20:56:25.1328760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-08-14T20:56:25.1329490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0
2025-08-14T20:56:25.1330210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-08-14T20:56:25.1330910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0
2025-08-14T20:56:25.1331600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-08-14T20:56:25.1332290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0
2025-08-14T20:56:25.1333000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-08-14T20:56:25.1333810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-08-14T20:56:25.1334560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-08-14T20:56:25.8237810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-08-14T20:56:25.8238620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-08-14T20:56:25.8239400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-08-14T20:56:25.8240160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-08-14T20:56:25.8240900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-08-14T20:56:25.8241640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-08-14T20:56:25.8242400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-08-14T20:56:25.8243170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file
2025-08-14T20:56:25.8243990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-08-14T20:56:25.8244760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file
2025-08-14T20:56:25.8245670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-08-14T20:56:25.8246400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file
2025-08-14T20:56:25.8247140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-08-14T20:56:25.8247880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file
2025-08-14T20:56:25.8248660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-08-14T20:56:25.8249430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file
2025-08-14T20:56:25.8250140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-08-14T20:56:25.8250860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file
2025-08-14T20:56:25.8251610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-08-14T20:56:25.8252340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file
2025-08-14T20:56:25.8253190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-08-14T20:56:25.8253980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file
2025-08-14T20:56:25.8254750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-08-14T20:56:25.8255480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-08-14T20:56:25.8256260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-08-14T20:56:25.8257050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-08-14T20:56:25.8257840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-08-14T20:56:25.8258640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-08-14T20:56:25.8259460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-08-14T20:56:25.8260280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-08-14T20:56:25.8261070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-08-14T20:56:25.8261880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-08-14T20:56:25.8262720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-08-14T20:56:25.8263470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-08-14T20:56:25.8264160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-08-14T20:56:25.8264890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-08-14T20:56:25.8265670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-08-14T20:56:25.8266460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file
2025-08-14T20:56:25.8267250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-08-14T20:56:25.8268020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file
2025-08-14T20:56:25.8268780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-08-14T20:56:25.8269600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file
2025-08-14T20:56:25.8270370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-08-14T20:56:25.8271070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file
2025-08-14T20:56:25.8271770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0
2025-08-14T20:56:25.8272480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file
2025-08-14T20:56:25.8273220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-08-14T20:56:25.8273950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file
2025-08-14T20:56:25.8274700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-08-14T20:56:25.8275470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file
2025-08-14T20:56:25.8276240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-08-14T20:56:25.8276990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file
2025-08-14T20:56:26.4622310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-08-14T20:56:26.4623400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file
2025-08-14T20:56:26.4624180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-08-14T20:56:26.4624950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file
2025-08-14T20:56:26.4625740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-08-14T20:56:26.4626510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file
2025-08-14T20:56:26.4627260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-08-14T20:56:26.4628030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file
2025-08-14T20:56:26.4634360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-08-14T20:56:26.4636480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-08-14T20:56:26.4638470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-08-14T20:56:26.4640750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-08-14T20:56:26.4642910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-08-14T20:56:26.4644900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-08-14T20:56:26.4646200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-08-14T20:56:26.4646920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-08-14T20:56:26.4647620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-08-14T20:56:26.4648330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-08-14T20:56:26.4649060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-08-14T20:56:26.4649790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-08-14T20:56:26.4650540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-08-14T20:56:26.4651270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-08-14T20:56:26.4652010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-08-14T20:56:26.4652870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-08-14T20:56:26.4653660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-08-14T20:56:26.4654420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-08-14T20:56:26.4655150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-08-14T20:56:26.4655890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-08-14T20:56:26.4656650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-08-14T20:56:26.4657400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-08-14T20:56:26.4658140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-08-14T20:56:26.4658830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-08-14T20:56:26.4659480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-08-14T20:56:26.4660410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file
2025-08-14T20:56:26.4661070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-08-14T20:56:26.4661790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-08-14T20:56:26.4662440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-08-14T20:56:26.4663090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file
2025-08-14T20:56:26.4663760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-08-14T20:56:26.4664420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file
2025-08-14T20:56:26.4665100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-08-14T20:56:26.4665770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file
2025-08-14T20:56:26.4666430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-08-14T20:56:26.4667120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-08-14T20:56:26.4667840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-08-14T20:56:26.4668570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-08-14T20:56:26.4669340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-08-14T20:56:26.4670060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-08-14T20:56:26.4670770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-08-14T20:56:26.4671480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-08-14T20:56:26.4672200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-08-14T20:56:26.4672920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-08-14T20:56:26.4673640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-08-14T20:56:26.4674350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file
2025-08-14T20:56:26.4675090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-08-14T20:56:26.4675810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file
2025-08-14T20:56:26.4676610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-08-14T20:56:26.4677370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file
2025-08-14T20:56:26.4678110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-08-14T20:56:26.4678830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file
2025-08-14T20:56:26.4679560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-08-14T20:56:26.4680290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-08-14T20:56:26.4681020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-08-14T20:56:26.4681760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-08-14T20:56:26.4682490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-08-14T20:56:26.4683230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file
2025-08-14T20:56:26.4683960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-08-14T20:56:26.4684680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-08-14T20:56:26.4685420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-08-14T20:56:26.4686120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file
2025-08-14T20:56:26.4686810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-08-14T20:56:26.4687510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file
2025-08-14T20:56:26.4688210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-08-14T20:56:26.4688890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-08-14T20:56:26.4689590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0
2025-08-14T20:56:26.4690270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-08-14T20:56:26.4690950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-08-14T20:56:26.4691650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-08-14T20:56:26.4692420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0
2025-08-14T20:56:26.4693200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2574 <- wrt source file
2025-08-14T20:56:26.4694090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-08-14T20:56:26.4694880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2676 <- wrt source file
2025-08-14T20:56:26.4695660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-08-14T20:56:26.4696450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3143 <- wrt source file
2025-08-14T20:56:26.4697240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-08-14T20:56:26.4698030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3372 <- wrt source file
2025-08-14T20:56:26.4698820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-08-14T20:56:26.4699610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3474 <- wrt source file
2025-08-14T20:56:26.4700390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-08-14T20:56:26.4701190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3588 <- wrt source file
2025-08-14T20:56:26.4702060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-08-14T20:56:26.4702870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3711 <- wrt source file
2025-08-14T20:56:26.4703670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-08-14T20:56:26.4704510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3920 <- wrt source file
2025-08-14T20:56:26.4705350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-08-14T20:56:26.4706180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4058 <- wrt source file
2025-08-14T20:56:26.4706980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-08-14T20:56:26.4707760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4164 <- wrt source file
2025-08-14T20:56:26.4708500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-08-14T20:56:26.4709300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4249 <- wrt source file
2025-08-14T20:56:26.4710090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-08-14T20:56:26.4710860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4387 <- wrt source file
2025-08-14T20:56:26.4711670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-08-14T20:56:26.4712480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4869 <- wrt source file
2025-08-14T20:56:26.4713280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0
2025-08-14T20:56:26.4714060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0, line 5411 <- wrt source file
2025-08-14T20:56:26.4714840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups:0
2025-08-14T20:56:26.4715650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::new_subgroups_by_enumeration:0, line 5505 <- wrt source file
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2025-08-14T20:56:26.4733480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/checkpointer.py::AsyncCheckpointer:0
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2025-08-14T20:56:26.4737220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/_experimental/builder.py::make_sync_checkpointer:0
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2025-08-14T20:56:26.4751900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-08-14T20:56:26.4752620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0
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2025-08-14T20:56:26.4757310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
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2025-08-14T20:56:26.4861730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0
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2025-08-14T20:56:26.4863150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0
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2025-08-14T20:56:26.4864710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0
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2025-08-14T20:56:26.4870590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
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2025-08-14T20:56:26.4901070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
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2025-08-14T20:56:26.4921720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
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2025-08-14T20:56:26.4923450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
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2025-08-14T20:56:26.4925150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
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2025-08-14T20:56:26.4926830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
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2025-08-14T20:56:26.4933950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
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2025-08-14T20:56:26.4946230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-08-14T20:56:26.4947080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-08-14T20:56:26.4947900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-08-14T20:56:26.4948690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-08-14T20:56:26.4949480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-08-14T20:56:26.4950270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-08-14T20:56:26.4951060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-08-14T20:56:26.4951830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-08-14T20:56:26.4952610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-08-14T20:56:26.4953420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-08-14T20:56:26.4954320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
2025-08-14T20:56:26.4955250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0
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2025-08-14T20:56:26.4962070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file
2025-08-14T20:56:26.4963020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-08-14T20:56:26.4963990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
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2025-08-14T20:56:26.4965850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
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2025-08-14T20:56:26.4967650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file
2025-08-14T20:56:26.4968540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
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2025-08-14T20:56:26.4970360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-08-14T20:56:26.4971260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-08-14T20:56:26.4972140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-08-14T20:56:26.4973040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-08-14T20:56:26.4973990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-08-14T20:56:26.4974880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-08-14T20:56:26.4975770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-08-14T20:56:26.4976650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-08-14T20:56:26.4977540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-08-14T20:56:26.4978340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-08-14T20:56:26.4979050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-08-14T20:56:26.4979760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file
2025-08-14T20:56:26.4980490Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-08-14T20:56:26.4981290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-08-14T20:56:26.4982140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-08-14T20:56:26.4983030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-08-14T20:56:26.4983990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-08-14T20:56:26.4984820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file
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2025-08-14T20:56:26.4986200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file
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2025-08-14T20:56:26.4989580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
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2025-08-14T20:56:26.4990970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
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2025-08-14T20:56:26.4992360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-08-14T20:56:26.4993090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
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2025-08-14T20:56:26.5101330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-08-14T20:56:26.5102010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0
2025-08-14T20:56:26.5102680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-08-14T20:56:26.5103330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0
2025-08-14T20:56:26.5104200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-08-14T20:56:26.5105020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-08-14T20:56:26.5105750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 280 <- wrt source file
2025-08-14T20:56:26.5106440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-08-14T20:56:26.5107150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 388 <- wrt source file
2025-08-14T20:56:26.5107890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-08-14T20:56:26.5108600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 491 <- wrt source file
2025-08-14T20:56:26.5109280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-08-14T20:56:26.5109980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 547 <- wrt source file
2025-08-14T20:56:26.5110680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
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2025-08-14T20:56:26.5112080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
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2025-08-14T20:56:26.5113520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
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2025-08-14T20:56:26.5114940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
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2025-08-14T20:56:26.5116360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
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2025-08-14T20:56:26.5117830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
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2025-08-14T20:56:26.5119300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
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2025-08-14T20:56:26.5121850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1819 <- wrt source file
2025-08-14T20:56:26.5122680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
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2025-08-14T20:56:26.5124120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-08-14T20:56:26.5124860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3349 <- wrt source file
2025-08-14T20:56:26.5125650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-08-14T20:56:26.5126410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 371 <- wrt source file
2025-08-14T20:56:26.5127150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-08-14T20:56:26.5127930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1501 <- wrt source file
2025-08-14T20:56:26.5128820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-08-14T20:56:26.5129700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0, line 45 <- wrt source file
2025-08-14T20:56:26.5130550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_inductor/template_registry.py::register_template_heuristic:0
2025-08-14T20:56:26.5131320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-08-14T20:56:26.5132030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-08-14T20:56:26.5132750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-08-14T20:56:26.5133450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0
2025-08-14T20:56:26.5134150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file
2025-08-14T20:56:26.5134830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-08-14T20:56:26.5135510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-08-14T20:56:26.5136220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0
2025-08-14T20:56:26.5136960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 547 <- wrt source file
2025-08-14T20:56:26.5137720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-08-14T20:56:26.5138470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 749 <- wrt source file
2025-08-14T20:56:26.5139250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-08-14T20:56:26.5140040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-08-14T20:56:26.5140870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-08-14T20:56:26.5141730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file
2025-08-14T20:56:26.5142620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-08-14T20:56:26.5143470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file
2025-08-14T20:56:26.5144260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-08-14T20:56:26.5145030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-08-14T20:56:26.5145710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-08-14T20:56:26.5146390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file
2025-08-14T20:56:26.5147090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-08-14T20:56:26.5147790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file
2025-08-14T20:56:26.5148490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-08-14T20:56:26.5149190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file
2025-08-14T20:56:26.5149900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-08-14T20:56:26.5150600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file
2025-08-14T20:56:26.5151280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-08-14T20:56:26.5152020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file
2025-08-14T20:56:26.5152750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-08-14T20:56:26.5158350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file
2025-08-14T20:56:26.5159070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-08-14T20:56:26.5159770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file
2025-08-14T20:56:26.5160450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-08-14T20:56:26.5161160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file
2025-08-14T20:56:26.5161880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-08-14T20:56:26.5162650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file
2025-08-14T20:56:26.5163480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-08-14T20:56:26.5164290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-08-14T20:56:26.5165070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-08-14T20:56:26.5165950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-08-14T20:56:26.5166750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-08-14T20:56:26.5167550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-08-14T20:56:26.5168350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-08-14T20:56:26.5169160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-08-14T20:56:26.5169980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-08-14T20:56:26.5170800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-08-14T20:56:26.5171610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-08-14T20:56:26.5172430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-08-14T20:56:26.5173240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-08-14T20:56:26.5174130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-08-14T20:56:26.5174980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-08-14T20:56:26.5175800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-08-14T20:56:26.5176630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-08-14T20:56:26.5177470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-08-14T20:56:26.5178320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-08-14T20:56:26.5179150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-08-14T20:56:26.5179960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-08-14T20:56:26.5180770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-08-14T20:56:26.5181580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-08-14T20:56:26.5182390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-08-14T20:56:26.5449870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-08-14T20:56:26.5450770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-08-14T20:56:26.5451670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-08-14T20:56:26.5452530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-08-14T20:56:26.5453410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-08-14T20:56:26.5454330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-08-14T20:56:26.5455310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-08-14T20:56:26.5456260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-08-14T20:56:26.5457400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-08-14T20:56:26.5458360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-08-14T20:56:26.5459230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-08-14T20:56:26.5460070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-08-14T20:56:26.5460880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-08-14T20:56:26.5461650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-08-14T20:56:26.5462380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-08-14T20:56:26.5463100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-08-14T20:56:26.5463810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-08-14T20:56:26.5464530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-08-14T20:56:26.5465240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0
2025-08-14T20:56:26.5465950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-08-14T20:56:26.5466690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-08-14T20:56:26.5467420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-08-14T20:56:26.5468170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-08-14T20:56:26.5468910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-08-14T20:56:26.5469630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-08-14T20:56:26.5470360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-08-14T20:56:26.5471120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-08-14T20:56:26.5471890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file
2025-08-14T20:56:26.5472670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-08-14T20:56:26.5473480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-08-14T20:56:26.5474390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-08-14T20:56:26.5475290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file
2025-08-14T20:56:26.5476140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-08-14T20:56:26.5476990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-08-14T20:56:26.5477850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-08-14T20:56:26.5478700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-08-14T20:56:26.5479570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-08-14T20:56:26.5480420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-08-14T20:56:26.5481280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-08-14T20:56:26.5482130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-08-14T20:56:26.5483050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-08-14T20:56:26.5483900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-08-14T20:56:26.5484760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-08-14T20:56:26.5485600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file
2025-08-14T20:56:26.5486420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-08-14T20:56:26.5487270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-08-14T20:56:26.5488150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-08-14T20:56:26.5489030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-08-14T20:56:26.5682950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-08-14T20:56:26.5684030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-08-14T20:56:26.5685020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-08-14T20:56:26.5685960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-08-14T20:56:26.5686890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-08-14T20:56:26.5687800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-08-14T20:56:26.5688610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-08-14T20:56:26.5689430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-08-14T20:56:26.5690270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-08-14T20:56:26.5691110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-08-14T20:56:26.5691940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-08-14T20:56:26.5692780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
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2025-08-14T20:56:26.5694680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
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2025-08-14T20:56:26.5696390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-08-14T20:56:26.5697230Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-08-14T20:56:26.5698090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
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2025-08-14T20:56:26.5699830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-08-14T20:56:26.5700770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-08-14T20:56:26.5701690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-08-14T20:56:26.5702410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0
2025-08-14T20:56:26.5703150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 615 <- wrt source file
2025-08-14T20:56:26.5703910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-08-14T20:56:26.5704680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 736 <- wrt source file
2025-08-14T20:56:26.5705450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-08-14T20:56:26.5706220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 825 <- wrt source file
2025-08-14T20:56:26.5706980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-08-14T20:56:26.5707780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4734 <- wrt source file
2025-08-14T20:56:26.5708630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
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2025-08-14T20:56:26.5710340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-08-14T20:56:26.5711190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4778 <- wrt source file
2025-08-14T20:56:26.5712020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-08-14T20:56:26.5712830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-08-14T20:56:26.5713610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-08-14T20:56:26.5714420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-08-14T20:56:26.5715250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-08-14T20:56:26.5716120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file
2025-08-14T20:56:26.5717050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-08-14T20:56:26.5718020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-08-14T20:56:26.5718980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-08-14T20:56:26.5719800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-08-14T20:56:26.5720520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-08-14T20:56:26.5721220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file
2025-08-14T20:56:26.5721920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-08-14T20:56:26.5723570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file
2025-08-14T20:56:26.5724410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-08-14T20:56:26.5725230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file
2025-08-14T20:56:26.5726020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-08-14T20:56:26.5726810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file
2025-08-14T20:56:26.5727650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-08-14T20:56:26.5728470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file
2025-08-14T20:56:26.5729260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-08-14T20:56:26.5730050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file
2025-08-14T20:56:26.5730840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-08-14T20:56:26.5731630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-08-14T20:56:26.5732410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-08-14T20:56:26.5733190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file
2025-08-14T20:56:26.5733980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-08-14T20:56:26.5734710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-08-14T20:56:26.5735450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-08-14T20:56:26.5736220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-08-14T20:56:26.5737000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
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2025-08-14T20:56:26.5739320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file
2025-08-14T20:56:26.5740130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-08-14T20:56:26.5740910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-08-14T20:56:26.5741700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-08-14T20:56:26.5742470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0, line 2328 <- wrt source file
2025-08-14T20:56:26.5743240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py::fullgraph_capture:0
2025-08-14T20:56:26.5744030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file
2025-08-14T20:56:26.5744770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-08-14T20:56:26.5745540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file
2025-08-14T20:56:26.5746350Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-08-14T20:56:26.5747130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file
2025-08-14T20:56:26.5747860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-08-14T20:56:26.5748620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file
2025-08-14T20:56:26.5749370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-08-14T20:56:26.5750110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file
2025-08-14T20:56:26.5750840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-08-14T20:56:26.5751620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-08-14T20:56:26.5752410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-08-14T20:56:26.5753170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-08-14T20:56:26.5753940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-08-14T20:56:26.5754720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-08-14T20:56:26.5755510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-08-14T20:56:26.5756310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-08-14T20:56:26.5757090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-08-14T20:56:26.5757860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-08-14T20:56:26.5758650Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-08-14T20:56:26.5759430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file
2025-08-14T20:56:26.5760250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-08-14T20:56:26.5761050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file
2025-08-14T20:56:26.5761890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-08-14T20:56:26.5762740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file
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2025-08-14T20:56:26.5764410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file
2025-08-14T20:56:26.5765250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-08-14T20:56:26.5766060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file
2025-08-14T20:56:26.5766820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-08-14T20:56:26.5767580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file
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2025-08-14T20:56:26.5769350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file
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2025-08-14T20:56:26.5770930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file
2025-08-14T20:56:26.5771710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-08-14T20:56:26.5772500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file
2025-08-14T20:56:26.5773280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-08-14T20:56:26.5774110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-08-14T20:56:26.5775000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-08-14T20:56:26.5775860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-08-14T20:56:26.5776700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-08-14T20:56:26.5777540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-08-14T20:56:26.5778300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-08-14T20:56:26.5779260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-08-14T20:56:26.5780100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-08-14T20:56:26.5780900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-08-14T20:56:26.5781680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-08-14T20:56:26.5782440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file
2025-08-14T20:56:26.5783180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-08-14T20:56:26.5783940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file
2025-08-14T20:56:26.5784730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-08-14T20:56:26.5785630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file
2025-08-14T20:56:26.5786460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-08-14T20:56:26.5787240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file
2025-08-14T20:56:26.5788030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-08-14T20:56:26.5788960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-08-14T20:56:26.5789790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-08-14T20:56:26.5790610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-08-14T20:56:26.5791430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-08-14T20:56:26.5792220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-08-14T20:56:26.5792970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-08-14T20:56:26.5793720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-08-14T20:56:26.5794480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-08-14T20:56:26.5795260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file
2025-08-14T20:56:26.5796080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-08-14T20:56:26.5796940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-08-14T20:56:26.5797860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-08-14T20:56:26.5798750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-08-14T20:56:26.5799610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-08-14T20:56:26.5800480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-08-14T20:56:26.5801370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-08-14T20:56:26.5802300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-08-14T20:56:26.5803210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-08-14T20:56:26.5804010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-08-14T20:56:26.5804750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-08-14T20:56:26.5805500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-08-14T20:56:26.5806280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-08-14T20:56:26.5807060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-08-14T20:56:26.5807830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-08-14T20:56:26.5808590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file
2025-08-14T20:56:26.5809340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-08-14T20:56:26.5810100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file
2025-08-14T20:56:26.5810920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-08-14T20:56:26.5811690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file
2025-08-14T20:56:26.5812460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0
2025-08-14T20:56:26.5813220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file
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2025-08-14T20:56:26.5815500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-08-14T20:56:26.5816250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file
2025-08-14T20:56:26.5817010Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-08-14T20:56:26.5817790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-08-14T20:56:26.5818650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-08-14T20:56:26.5819500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-08-14T20:56:26.5820330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-08-14T20:56:26.5821210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-08-14T20:56:26.5822080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-08-14T20:56:26.5828260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-08-14T20:56:26.5829150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-08-14T20:56:26.5829970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-08-14T20:56:26.5830780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-08-14T20:56:26.5831610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-08-14T20:56:26.5832450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-08-14T20:56:26.5833460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-08-14T20:56:26.5834360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-08-14T20:56:26.5835200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
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2025-08-14T20:56:26.5840090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
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2025-08-14T20:56:26.5841770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
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2025-08-14T20:56:26.5843530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
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2025-08-14T20:56:26.5845350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
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2025-08-14T20:56:26.5847180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file
2025-08-14T20:56:26.5848110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-08-14T20:56:26.5849980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-08-14T20:56:26.5850890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-08-14T20:56:26.5851830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-08-14T20:56:26.5852730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-08-14T20:56:26.5853630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 188 <- wrt source file
2025-08-14T20:56:26.5854510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-08-14T20:56:26.5855390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-08-14T20:56:26.5856260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-08-14T20:56:26.5857190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-08-14T20:56:26.5858190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-08-14T20:56:26.5859110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-08-14T20:56:26.5859990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-08-14T20:56:26.5860880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file
2025-08-14T20:56:26.5861760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-08-14T20:56:26.5862570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 617 <- wrt source file
2025-08-14T20:56:26.5863280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0
2025-08-14T20:56:26.5864050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file
2025-08-14T20:56:26.5864870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-08-14T20:56:26.5865650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-08-14T20:56:26.5866360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-08-14T20:56:26.5867110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-08-14T20:56:26.5867890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-08-14T20:56:26.5868700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-08-14T20:56:26.5869470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-08-14T20:56:26.5870240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-08-14T20:56:26.5871020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-08-14T20:56:26.5871800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-08-14T20:56:26.5872580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-08-14T20:56:26.5873350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-08-14T20:56:26.5874080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0
2025-08-14T20:56:26.5874830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-08-14T20:56:26.5875610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0
2025-08-14T20:56:26.5876440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-08-14T20:56:26.5877260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-08-14T20:56:26.5878040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-08-14T20:56:26.5878860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-08-14T20:56:26.5879710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-08-14T20:56:26.5880610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-08-14T20:56:26.5881440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-08-14T20:56:26.5882200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-08-14T20:56:26.5882950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-08-14T20:56:26.5883700Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-08-14T20:56:26.5884450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-08-14T20:56:26.5885200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0
2025-08-14T20:56:26.5886050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-08-14T20:56:26.5886900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-08-14T20:56:26.5887690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-08-14T20:56:26.5888420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0
2025-08-14T20:56:26.5889160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-08-14T20:56:26.5889900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0
2025-08-14T20:56:26.5890700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-08-14T20:56:26.5891570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-08-14T20:56:26.5892360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-08-14T20:56:26.5893070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0
2025-08-14T20:56:26.5893850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-08-14T20:56:26.5894600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0
2025-08-14T20:56:26.5895290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-08-14T20:56:26.5895960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0
2025-08-14T20:56:26.5896680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-08-14T20:56:26.5897440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-08-14T20:56:26.5898180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-08-14T20:56:26.5898920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-08-14T20:56:26.5899660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-08-14T20:56:26.5900420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-08-14T20:56:26.5901190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-08-14T20:56:26.5901960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-08-14T20:56:26.5902790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-08-14T20:56:26.5903570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0
2025-08-14T20:56:26.5904360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-08-14T20:56:26.5905150Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-08-14T20:56:26.5905950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-08-14T20:56:26.5906790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0
2025-08-14T20:56:26.5907580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-08-14T20:56:26.5908340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0
2025-08-14T20:56:26.5909090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-08-14T20:56:26.5909840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-08-14T20:56:26.5910710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-08-14T20:56:26.5911510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-08-14T20:56:26.5912250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-08-14T20:56:26.5912960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-08-14T20:56:26.5913710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-08-14T20:56:26.5914490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-08-14T20:56:26.5915340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-08-14T20:56:26.5916230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-08-14T20:56:26.5917100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-08-14T20:56:26.5917920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-08-14T20:56:26.5918760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-08-14T20:56:26.5919620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-08-14T20:56:26.5920460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-08-14T20:56:26.5921310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-08-14T20:56:26.5922130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-08-14T20:56:26.5922870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0
2025-08-14T20:56:26.5923610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-08-14T20:56:26.5924340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-08-14T20:56:26.5925150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-08-14T20:56:26.5925990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-08-14T20:56:26.5926800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-08-14T20:56:26.5927690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-08-14T20:56:26.5928480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-08-14T20:56:26.5929190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0
2025-08-14T20:56:26.5929890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-08-14T20:56:26.5930580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0
2025-08-14T20:56:26.5931290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-08-14T20:56:26.5932000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0
2025-08-14T20:56:26.5932750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-08-14T20:56:26.5933510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0
2025-08-14T20:56:26.5934230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-08-14T20:56:26.5934980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-08-14T20:56:26.5935600Z ============
2025-08-14T20:56:26.5935770Z Finished doctests
2025-08-14T20:56:26.5935920Z 338 / 732 passed
2025-08-14T20:56:26.5936070Z 
2025-08-14T20:56:26.5936340Z === Found 146 parse-time warnings ===
2025-08-14T20:56:26.5936600Z --- Parse Warning: 1 / 146 ---
2025-08-14T20:56:26.5937400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=375.
2025-08-14T20:56:26.5938320Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.5938720Z     Registers the function implementation as the fallback for the given key.
2025-08-14T20:56:26.5938990Z     
2025-08-14T20:56:26.5939210Z             This function only works for a library with global namespace ("_").
2025-08-14T20:56:26.5939470Z     
2025-08-14T20:56:26.5939580Z             Args:
2025-08-14T20:56:26.5939860Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-08-14T20:56:26.5940190Z                     to register a fallthrough.
2025-08-14T20:56:26.5940540Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-08-14T20:56:26.5940910Z                               the dispatch key that the library was created with.
2025-08-14T20:56:26.5941350Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-08-14T20:56:26.5941870Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-08-14T20:56:26.5942190Z     
2025-08-14T20:56:26.5942350Z             Example::
2025-08-14T20:56:26.5942510Z     
2025-08-14T20:56:26.5942690Z                 >>> my_lib = Library("_", "IMPL")
2025-08-14T20:56:26.5942940Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-08-14T20:56:26.5943270Z                 >>>     # Handle all autocast ops generically
2025-08-14T20:56:26.5943500Z                 >>>     # ...
2025-08-14T20:56:26.5957780Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T20:56:26.5957990Z             
2025-08-14T20:56:26.5958420Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-08-14T20:56:26.5958880Z     
2025-08-14T20:56:26.5959020Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-08-14T20:56:26.5959200Z     ^
2025-08-14T20:56:26.5959320Z       warnings.warn(msg)
2025-08-14T20:56:26.5959460Z     
2025-08-14T20:56:26.5959650Z --- Parse Warning: 2 / 146 ---
2025-08-14T20:56:26.5960430Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=948.
2025-08-14T20:56:26.5961260Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.5961610Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-08-14T20:56:26.5961850Z     
2025-08-14T20:56:26.5962020Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-08-14T20:56:26.5962230Z     
2025-08-14T20:56:26.5962430Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-08-14T20:56:26.5962770Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-08-14T20:56:26.5963110Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-08-14T20:56:26.5963400Z         what the properties of the output Tensors are.
2025-08-14T20:56:26.5963590Z     
2025-08-14T20:56:26.5963790Z         The FakeTensor implementation has the same signature as the operator.
2025-08-14T20:56:26.5964120Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-08-14T20:56:26.5964550Z         implementation, assume that all Tensor inputs to the operator are
2025-08-14T20:56:26.5964870Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-08-14T20:56:26.5965180Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-08-14T20:56:26.5965510Z         The FakeTensor implementation must consist of only PyTorch operations
2025-08-14T20:56:26.5965830Z         (and may not directly access the storage or data of any input or
2025-08-14T20:56:26.5966060Z         intermediate Tensors).
2025-08-14T20:56:26.5966220Z     
2025-08-14T20:56:26.5966370Z         This API may be used as a decorator (see examples).
2025-08-14T20:56:26.5966570Z     
2025-08-14T20:56:26.5966710Z         For a detailed guide on custom ops, please see
2025-08-14T20:56:26.5967010Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-08-14T20:56:26.5967250Z     
2025-08-14T20:56:26.5967360Z         Args:
2025-08-14T20:56:26.5967570Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-08-14T20:56:26.5967840Z             func: Fake tensor implementation.
2025-08-14T20:56:26.5968100Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-08-14T20:56:26.5968390Z             allow_override: Flag controlling if we want to override an
2025-08-14T20:56:26.5968700Z                             existing registered fake impl. This is by default off,
2025-08-14T20:56:26.5969000Z                             and will error you're trying to register a fake impl to
2025-08-14T20:56:26.5969300Z                             an operator that already has a fake impl. This also only
2025-08-14T20:56:26.5969590Z                             applies if the custom operator was not created via
2025-08-14T20:56:26.5969890Z                             torch.library.custom_op, as overriding and existing fake
2025-08-14T20:56:26.5970250Z                             impl is already allowed.
2025-08-14T20:56:26.5970430Z     
2025-08-14T20:56:26.5970580Z         Examples:
2025-08-14T20:56:26.5970710Z             >>> import torch
2025-08-14T20:56:26.5970870Z             >>> import numpy as np
2025-08-14T20:56:26.5971050Z             >>> from torch import Tensor
2025-08-14T20:56:26.5971210Z             >>>
2025-08-14T20:56:26.5971410Z             >>> # Example 1: an operator without data-dependent output shape
2025-08-14T20:56:26.5971740Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-08-14T20:56:26.5972060Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T20:56:26.5972370Z             >>>     raise NotImplementedError("Implementation goes here")
2025-08-14T20:56:26.5972590Z             >>>
2025-08-14T20:56:26.5972770Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-08-14T20:56:26.5972990Z             >>> def _(x, weight, bias):
2025-08-14T20:56:26.5973170Z             >>>     assert x.dim() == 2
2025-08-14T20:56:26.5973370Z             >>>     assert weight.dim() == 2
2025-08-14T20:56:26.5973580Z             >>>     assert bias.dim() == 1
2025-08-14T20:56:26.5973800Z             >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T20:56:26.5974040Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T20:56:26.5974280Z             >>>     assert x.device == weight.device
2025-08-14T20:56:26.5974460Z             >>>
2025-08-14T20:56:26.5974600Z             >>>     return (x @ weight.t()) + bias
2025-08-14T20:56:26.5974780Z             >>>
2025-08-14T20:56:26.5974960Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-08-14T20:56:26.5975200Z             >>>     x = torch.randn(2, 3)
2025-08-14T20:56:26.5975390Z             >>>     w = torch.randn(3, 3)
2025-08-14T20:56:26.5975570Z             >>>     b = torch.randn(3)
2025-08-14T20:56:26.5975780Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-08-14T20:56:26.5975990Z             >>>
2025-08-14T20:56:26.5976170Z             >>> assert y.shape == (2, 3)
2025-08-14T20:56:26.5976360Z             >>>
2025-08-14T20:56:26.5976540Z             >>> # Example 2: an operator with data-dependent output shape
2025-08-14T20:56:26.5976860Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-08-14T20:56:26.5977150Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-08-14T20:56:26.5977380Z             >>>     x_np = x.numpy(force=True)
2025-08-14T20:56:26.5977600Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T20:56:26.5977840Z             >>>     return torch.tensor(res, device=x.device)
2025-08-14T20:56:26.5978050Z             >>>
2025-08-14T20:56:26.5978240Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-08-14T20:56:26.5978480Z             >>> def _(x):
2025-08-14T20:56:26.5978710Z             >>> # Number of nonzero-elements is data-dependent.
2025-08-14T20:56:26.5978990Z             >>> # Since we cannot peek at the data in an fake impl,
2025-08-14T20:56:26.5979280Z             >>> # we use the ctx object to construct a new symint that
2025-08-14T20:56:26.5979550Z             >>> # represents the data-dependent size.
2025-08-14T20:56:26.5979770Z             >>>     ctx = torch.library.get_ctx()
2025-08-14T20:56:26.5979970Z             >>>     nnz = ctx.new_dynamic_size()
2025-08-14T20:56:26.5980160Z             >>>     shape = [nnz, x.dim()]
2025-08-14T20:56:26.5980380Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T20:56:26.5980590Z             >>>     return result
2025-08-14T20:56:26.5980750Z             >>>
2025-08-14T20:56:26.5980930Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T20:56:26.5981150Z             >>>
2025-08-14T20:56:26.5981300Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-08-14T20:56:26.5981690Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-08-14T20:56:26.5981970Z             >>> trace.print_readable()
2025-08-14T20:56:26.5982190Z             >>>
2025-08-14T20:56:26.5982410Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-08-14T20:56:26.5982650Z     
2025-08-14T20:56:26.5982750Z         
2025-08-14T20:56:26.5983120Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-08-14T20:56:26.5983520Z     
2025-08-14T20:56:26.5983620Z     _._ = None
2025-08-14T20:56:26.5983660Z     ^
2025-08-14T20:56:26.5983710Z       warnings.warn(msg)
2025-08-14T20:56:26.5983750Z     
2025-08-14T20:56:26.5983860Z --- Parse Warning: 3 / 146 ---
2025-08-14T20:56:26.5984510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1083.
2025-08-14T20:56:26.5984670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.5984750Z     Register a backward formula for this custom op.
2025-08-14T20:56:26.5984800Z     
2025-08-14T20:56:26.5984920Z         In order for an operator to work with autograd, you need to register
2025-08-14T20:56:26.5984980Z         a backward formula:
2025-08-14T20:56:26.5985100Z         1. You must tell us how to compute gradients during the backward pass
2025-08-14T20:56:26.5985180Z         by providing us a "backward" function.
2025-08-14T20:56:26.5985300Z         2. If you need any values from the forward to compute gradients, you can
2025-08-14T20:56:26.5985400Z         use `setup_context` to save values for backward.
2025-08-14T20:56:26.5985430Z     
2025-08-14T20:56:26.5985570Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-08-14T20:56:26.5985690Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-08-14T20:56:26.5985820Z         the number of outputs of the operator.
2025-08-14T20:56:26.5985950Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-08-14T20:56:26.5986100Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-08-14T20:56:26.5986200Z         same as :meth:`torch.autograd.Function.backward`.
2025-08-14T20:56:26.5986240Z     
2025-08-14T20:56:26.5986370Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-08-14T20:56:26.5986510Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-08-14T20:56:26.5986650Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-08-14T20:56:26.5986770Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-08-14T20:56:26.5986900Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-08-14T20:56:26.5987020Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-08-14T20:56:26.5987070Z     
2025-08-14T20:56:26.5987200Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-08-14T20:56:26.5987330Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-08-14T20:56:26.5987470Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-08-14T20:56:26.5987610Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-08-14T20:56:26.5987650Z     
2025-08-14T20:56:26.5987770Z         If you need different autograd behavior on different devices, then we
2025-08-14T20:56:26.5987910Z         recommend creating two different custom operators, one for each device
2025-08-14T20:56:26.5988040Z         that needs different behavior, and switching between them at runtime.
2025-08-14T20:56:26.5988080Z     
2025-08-14T20:56:26.5988120Z         Examples:
2025-08-14T20:56:26.5988270Z             >>> import torch
2025-08-14T20:56:26.5988340Z             >>> import numpy as np
2025-08-14T20:56:26.5988440Z             >>> from torch import Tensor
2025-08-14T20:56:26.5988480Z             >>>
2025-08-14T20:56:26.5988610Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-08-14T20:56:26.5988680Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-08-14T20:56:26.5988740Z             >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:26.5988790Z             >>>     y_np = np.sin(x_np)
2025-08-14T20:56:26.5988890Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-14T20:56:26.5988930Z             >>>
2025-08-14T20:56:26.5989030Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-08-14T20:56:26.5989080Z             >>>     x, = inputs
2025-08-14T20:56:26.5989140Z             >>>     ctx.save_for_backward(x)
2025-08-14T20:56:26.5989180Z             >>>
2025-08-14T20:56:26.5989240Z             >>> def backward(ctx, grad):
2025-08-14T20:56:26.5989300Z             >>>     x, = ctx.saved_tensors
2025-08-14T20:56:26.5989360Z             >>>     return grad * x.cos()
2025-08-14T20:56:26.5989410Z             >>>
2025-08-14T20:56:26.5989480Z             >>> torch.library.register_autograd(
2025-08-14T20:56:26.5989590Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-08-14T20:56:26.5989630Z             ... )
2025-08-14T20:56:26.5989670Z             >>>
2025-08-14T20:56:26.5989750Z             >>> x = torch.randn(3, requires_grad=True)
2025-08-14T20:56:26.5989800Z             >>> y = numpy_sin(x)
2025-08-14T20:56:26.5989910Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-14T20:56:26.5989990Z             >>> assert torch.allclose(grad_x, x.cos())
2025-08-14T20:56:26.5990030Z             >>>
2025-08-14T20:56:26.5990100Z             >>> # Example with a keyword-only arg
2025-08-14T20:56:26.5990230Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-14T20:56:26.5990360Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-08-14T20:56:26.5990430Z             >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:26.5990480Z             >>>     y_np = x_np * val
2025-08-14T20:56:26.5990580Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-08-14T20:56:26.5990620Z             >>>
2025-08-14T20:56:26.5990760Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-08-14T20:56:26.5990830Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-08-14T20:56:26.5990880Z             >>>
2025-08-14T20:56:26.5990930Z             >>> def backward(ctx, grad):
2025-08-14T20:56:26.5990990Z             >>>     return grad * ctx.val
2025-08-14T20:56:26.5991030Z             >>>
2025-08-14T20:56:26.5991100Z             >>> torch.library.register_autograd(
2025-08-14T20:56:26.5991210Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-08-14T20:56:26.5991260Z             ... )
2025-08-14T20:56:26.5991300Z             >>>
2025-08-14T20:56:26.5991380Z             >>> x = torch.randn(3, requires_grad=True)
2025-08-14T20:56:26.5991440Z             >>> y = numpy_mul(x, val=3.14)
2025-08-14T20:56:26.5991540Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-08-14T20:56:26.5991650Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-08-14T20:56:26.5991690Z     
2025-08-14T20:56:26.5991740Z         
2025-08-14T20:56:26.5991890Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.5991930Z     
2025-08-14T20:56:26.5991980Z       warnings.warn(msg)
2025-08-14T20:56:26.5992020Z     
2025-08-14T20:56:26.5992120Z --- Parse Warning: 4 / 146 ---
2025-08-14T20:56:26.5992820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1482.
2025-08-14T20:56:26.5993020Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.5993150Z     Returns the computed kernel for a given operator and dispatch key.
2025-08-14T20:56:26.5993190Z     
2025-08-14T20:56:26.5993320Z         This function retrieves the kernel that would be executed for a given
2025-08-14T20:56:26.5993460Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-08-14T20:56:26.5993570Z         can be used to call the kernel in a boxed fashion. The intended use
2025-08-14T20:56:26.5993700Z         case for this function is to retrieve the original kernel for a given
2025-08-14T20:56:26.5993830Z         dispatch key and then register another kernel to the same dispatch key
2025-08-14T20:56:26.5993930Z         that calls into the original kernel for certain cases.
2025-08-14T20:56:26.5993970Z     
2025-08-14T20:56:26.5994020Z         Args:
2025-08-14T20:56:26.5994140Z             op: Operator name (along with the overload) or OpOverload object
2025-08-14T20:56:26.5994280Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-08-14T20:56:26.5994440Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-08-14T20:56:26.5994560Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-08-14T20:56:26.5994600Z     
2025-08-14T20:56:26.5994640Z         Returns:
2025-08-14T20:56:26.5994780Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-08-14T20:56:26.5994840Z                 call the kernel.
2025-08-14T20:56:26.5994880Z     
2025-08-14T20:56:26.5994920Z         Raises:
2025-08-14T20:56:26.5995010Z             RuntimeError: If the operator does not exist.
2025-08-14T20:56:26.5995050Z     
2025-08-14T20:56:26.5995090Z         Example:
2025-08-14T20:56:26.5995160Z             >>> # Get the CPU kernel for torch.add
2025-08-14T20:56:26.5995350Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-08-14T20:56:26.5995390Z             >>>
2025-08-14T20:56:26.5995460Z             >>> # You can also use DispatchKey enum
2025-08-14T20:56:26.5995620Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-08-14T20:56:26.5995660Z             >>>
2025-08-14T20:56:26.5995730Z             >>> # Or use an OpOverload directly
2025-08-14T20:56:26.5995870Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-08-14T20:56:26.5995910Z             >>>
2025-08-14T20:56:26.5996040Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-08-14T20:56:26.5996110Z             >>> # Get the original kernel for torch.sin
2025-08-14T20:56:26.5996240Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-08-14T20:56:26.5996290Z             >>>
2025-08-14T20:56:26.5996420Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-08-14T20:56:26.5996510Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-08-14T20:56:26.5996570Z             >>>     if (x < 0).any():
2025-08-14T20:56:26.5996680Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-08-14T20:56:26.5996730Z             >>>     else:
2025-08-14T20:56:26.5996800Z             >>>         return torch.zeros_like(x)
2025-08-14T20:56:26.5996840Z             >>>
2025-08-14T20:56:26.5996920Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-08-14T20:56:26.5997080Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-08-14T20:56:26.5997200Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T20:56:26.5997320Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-08-14T20:56:26.5997410Z             >>>
2025-08-14T20:56:26.5997480Z             >>> # Test the conditional behavior
2025-08-14T20:56:26.5997600Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-08-14T20:56:26.5997670Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-08-14T20:56:26.5997720Z             >>> torch.sin(x_positive)
2025-08-14T20:56:26.5997780Z             tensor([0., 0.])
2025-08-14T20:56:26.5997830Z             >>> torch.sin(x_mixed)
2025-08-14T20:56:26.5997890Z             tensor([-0.8415, 0.9093])
2025-08-14T20:56:26.5997930Z         
2025-08-14T20:56:26.5998210Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-08-14T20:56:26.5998250Z     
2025-08-14T20:56:26.5998370Z     which needs to be the first argument to ``kernel.call_boxed``
2025-08-14T20:56:26.5998410Z           ^
2025-08-14T20:56:26.5998460Z       warnings.warn(msg)
2025-08-14T20:56:26.5998500Z     
2025-08-14T20:56:26.5998600Z --- Parse Warning: 5 / 146 ---
2025-08-14T20:56:26.5999220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py line=1571.
2025-08-14T20:56:26.5999370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.5999500Z     Given an operator and some sample arguments, tests if the operator is
2025-08-14T20:56:26.5999560Z         registered correctly.
2025-08-14T20:56:26.5999600Z     
2025-08-14T20:56:26.5999740Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-08-14T20:56:26.5999900Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-08-14T20:56:26.6000040Z         and these APIs require that the functions you pass them satisfy certain
2025-08-14T20:56:26.6000190Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-08-14T20:56:26.6000350Z         ``opcheck`` tests these metadata and properties.
2025-08-14T20:56:26.6000400Z     
2025-08-14T20:56:26.6000470Z         Concretely, we test the following:
2025-08-14T20:56:26.6000520Z     
2025-08-14T20:56:26.6000630Z         - test_schema: If the schema matches the implementation of
2025-08-14T20:56:26.6000780Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-08-14T20:56:26.6000910Z           then we check the implementation mutates the Tensor. If the schema
2025-08-14T20:56:26.6001030Z           specifies that we return a new Tensor, then we check that the
2025-08-14T20:56:26.6001170Z           implementation returns a new Tensor (instead of an existing one or
2025-08-14T20:56:26.6001240Z           a view of an existing one).
2025-08-14T20:56:26.6001370Z         - test_autograd_registration: If the operator supports training
2025-08-14T20:56:26.6001500Z           (autograd): we check that its autograd formula is registered via
2025-08-14T20:56:26.6001640Z           torch.library.register_autograd or a manual registration to one
2025-08-14T20:56:26.6001770Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-08-14T20:56:26.6001860Z           registrations may lead to undefined behavior.
2025-08-14T20:56:26.6001980Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-08-14T20:56:26.6002130Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-08-14T20:56:26.6002290Z           but not sufficient) for the operator to work with PyTorch compilation
2025-08-14T20:56:26.6002420Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-08-14T20:56:26.6002570Z           (also sometimes known as a meta kernel) was registered for the
2025-08-14T20:56:26.6002710Z           operator and that it is correct. This test takes the result of
2025-08-14T20:56:26.6003170Z           running the operator on real tensors and the result of running
2025-08-14T20:56:26.6003320Z           the operator on FakeTensors and checks that they have the same
2025-08-14T20:56:26.6003440Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-08-14T20:56:26.6003590Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-08-14T20:56:26.6003720Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-08-14T20:56:26.6003860Z           This checks that the outputs (and gradients, if applicable) are the
2025-08-14T20:56:26.6003970Z           same under eager-mode PyTorch and torch.compile.
2025-08-14T20:56:26.6004100Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-08-14T20:56:26.6004240Z           other things it tests are that the operator supports
2025-08-14T20:56:26.6004370Z           functionalization and that the backward pass (if it exists) also
2025-08-14T20:56:26.6004470Z           supports FakeTensor and functionalization.
2025-08-14T20:56:26.6004540Z     
2025-08-14T20:56:26.6004680Z         For best results, please call ``opcheck`` multiple times with a
2025-08-14T20:56:26.6004790Z         representative set of inputs. If your operator supports
2025-08-14T20:56:26.6004960Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-08-14T20:56:26.6005110Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-08-14T20:56:26.6005210Z         use ``opcheck`` with inputs on all supported devices.
2025-08-14T20:56:26.6005270Z     
2025-08-14T20:56:26.6005330Z         Args:
2025-08-14T20:56:26.6005450Z             op: The operator. Must either be a function decorated with
2025-08-14T20:56:26.6005590Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-08-14T20:56:26.6005740Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-08-14T20:56:26.6005820Z             args: The args to the operator
2025-08-14T20:56:26.6005960Z             kwargs: The kwargs to the operator
2025-08-14T20:56:26.6006090Z             test_utils: Tests that we should run. Default: all of them.
2025-08-14T20:56:26.6006190Z                 Example: ("test_schema", "test_faketensor")
2025-08-14T20:56:26.6006320Z             raise_exception: If we should raise an exception on the first
2025-08-14T20:56:26.6006440Z                 error. If False, we will return a dict with information
2025-08-14T20:56:26.6006500Z                 on if each test passed or not.
2025-08-14T20:56:26.6006670Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-08-14T20:56:26.6006790Z                 If specified ``atol`` must also be specified.
2025-08-14T20:56:26.6006920Z                 If omitted, default values based on the ``dtype`` are selected
2025-08-14T20:56:26.6007030Z                 (see the table in :func:`torch.testing.assert_close`).
2025-08-14T20:56:26.6007190Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-08-14T20:56:26.6007300Z                 If specified ``rtol`` must also be specified.
2025-08-14T20:56:26.6007410Z                 If omitted, default values based on the ``dtype`` are selected
2025-08-14T20:56:26.6007530Z                 (see the table in :func:`torch.testing.assert_close`).
2025-08-14T20:56:26.6007580Z     
2025-08-14T20:56:26.6007640Z         .. warning::
2025-08-14T20:56:26.6007680Z     
2025-08-14T20:56:26.6007830Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-08-14T20:56:26.6007970Z             opcheck tests if your usage of torch.library APIs is correct while
2025-08-14T20:56:26.6008120Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-08-14T20:56:26.6008250Z             mathematically correct. Use both to test custom ops that support
2025-08-14T20:56:26.6008320Z             gradient computation.
2025-08-14T20:56:26.6008370Z     
2025-08-14T20:56:26.6008510Z         Example:
2025-08-14T20:56:26.6008550Z     
2025-08-14T20:56:26.6008680Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.6008820Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-08-14T20:56:26.6008910Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-08-14T20:56:26.6008990Z             >>>     x_np = x.numpy(force=True)
2025-08-14T20:56:26.6009060Z             >>>     z_np = x_np * y
2025-08-14T20:56:26.6009160Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-08-14T20:56:26.6009210Z             >>>
2025-08-14T20:56:26.6009280Z             >>> @numpy_mul.register_fake
2025-08-14T20:56:26.6009340Z             >>> def _(x, y):
2025-08-14T20:56:26.6009420Z             >>>     return torch.empty_like(x)
2025-08-14T20:56:26.6009460Z             >>>
2025-08-14T20:56:26.6009560Z             >>> def setup_context(ctx, inputs, output):
2025-08-14T20:56:26.6009620Z             >>>     y, = inputs
2025-08-14T20:56:26.6009690Z             >>>     ctx.y = y
2025-08-14T20:56:26.6009730Z             >>>
2025-08-14T20:56:26.6009800Z             >>> def backward(ctx, grad):
2025-08-14T20:56:26.6009880Z             >>>     return grad * ctx.y, None
2025-08-14T20:56:26.6009920Z             >>>
2025-08-14T20:56:26.6010070Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-08-14T20:56:26.6010130Z             >>>
2025-08-14T20:56:26.6010200Z             >>> sample_inputs = [
2025-08-14T20:56:26.6010260Z             >>>     (torch.randn(3), 3.14),
2025-08-14T20:56:26.6010360Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-08-14T20:56:26.6010460Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-08-14T20:56:26.6010600Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-08-14T20:56:26.6010640Z             >>> ]
2025-08-14T20:56:26.6010710Z             >>>
2025-08-14T20:56:26.6010800Z             >>> for args in sample_inputs:
2025-08-14T20:56:26.6010920Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-08-14T20:56:26.6010970Z     
2025-08-14T20:56:26.6011080Z         
2025-08-14T20:56:26.6011240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6011280Z     
2025-08-14T20:56:26.6011350Z       warnings.warn(msg)
2025-08-14T20:56:26.6011400Z     
2025-08-14T20:56:26.6011520Z --- Parse Warning: 6 / 146 ---
2025-08-14T20:56:26.6012150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-08-14T20:56:26.6012320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6012370Z     
2025-08-14T20:56:26.6012460Z     dim_order(ambiguity_check=False) -> tuple
2025-08-14T20:56:26.6012510Z     
2025-08-14T20:56:26.6012660Z     Returns the uniquely determined tuple of int describing the dim order or
2025-08-14T20:56:26.6012730Z     physical layout of :attr:`self`.
2025-08-14T20:56:26.6012770Z     
2025-08-14T20:56:26.6012940Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-08-14T20:56:26.6013050Z     starting from the outermost to the innermost dimension.
2025-08-14T20:56:26.6013100Z     
2025-08-14T20:56:26.6013210Z     Note that the dim order may not always be uniquely determined.
2025-08-14T20:56:26.6013470Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-08-14T20:56:26.6013710Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-08-14T20:56:26.6013880Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-08-14T20:56:26.6014140Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-08-14T20:56:26.6014270Z     Otherwise, it will raise TypeError.
2025-08-14T20:56:26.6014320Z     
2025-08-14T20:56:26.6014380Z     Args:
2025-08-14T20:56:26.6014570Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-08-14T20:56:26.6014620Z     
2025-08-14T20:56:26.6014680Z     Examples::
2025-08-14T20:56:26.6014730Z     
2025-08-14T20:56:26.6014800Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-08-14T20:56:26.6014860Z         (0, 1, 2, 3)
2025-08-14T20:56:26.6014970Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-08-14T20:56:26.6015010Z         (0, 2, 1, 3)
2025-08-14T20:56:26.6015160Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-08-14T20:56:26.6015220Z         (0, 2, 3, 1)
2025-08-14T20:56:26.6015300Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-08-14T20:56:26.6015350Z         (0, 1, 2, 3)
2025-08-14T20:56:26.6015410Z         >>> try:
2025-08-14T20:56:26.6015530Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-08-14T20:56:26.6015630Z         ... except RuntimeError as e:
2025-08-14T20:56:26.6015680Z         ...     print(e)
2025-08-14T20:56:26.6015890Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-08-14T20:56:26.6015970Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-08-14T20:56:26.6016110Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-08-14T20:56:26.6021650Z         ... )  # It can be mapped to contiguous format
2025-08-14T20:56:26.6021720Z         (0, 1, 2, 3)
2025-08-14T20:56:26.6021760Z         >>> try:
2025-08-14T20:56:26.6021880Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-08-14T20:56:26.6021940Z         ... except TypeError as e:
2025-08-14T20:56:26.6022000Z         ...     print(e)
2025-08-14T20:56:26.6022230Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-08-14T20:56:26.6022280Z     
2025-08-14T20:56:26.6022330Z     .. warning::
2025-08-14T20:56:26.6022450Z         The dim_order tensor API is experimental and subject to change.
2025-08-14T20:56:26.6022490Z     
2025-08-14T20:56:26.6022640Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6022680Z     
2025-08-14T20:56:26.6022730Z       warnings.warn(msg)
2025-08-14T20:56:26.6022770Z     
2025-08-14T20:56:26.6022910Z --- Parse Warning: 7 / 146 ---
2025-08-14T20:56:26.6023500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=565.
2025-08-14T20:56:26.6023660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6023710Z     
2025-08-14T20:56:26.6023800Z     Load a model from a github repo or a local directory.
2025-08-14T20:56:26.6023840Z     
2025-08-14T20:56:26.6023980Z     Note: Loading a model is the typical use case, but this can also be used to
2025-08-14T20:56:26.6024110Z     for loading other objects such as tokenizers, loss functions, etc.
2025-08-14T20:56:26.6024150Z     
2025-08-14T20:56:26.6024250Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-08-14T20:56:26.6024360Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-08-14T20:56:26.6024420Z     ref (a tag or a branch).
2025-08-14T20:56:26.6024460Z     
2025-08-14T20:56:26.6024570Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-08-14T20:56:26.6024630Z     path to a local directory.
2025-08-14T20:56:26.6024670Z     
2025-08-14T20:56:26.6024720Z     Args:
2025-08-14T20:56:26.6024880Z         repo_or_dir (str): If ``source`` is 'github',
2025-08-14T20:56:26.6025070Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-08-14T20:56:26.6025290Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-08-14T20:56:26.6025450Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-08-14T20:56:26.6025580Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-08-14T20:56:26.6025700Z         model (str): the name of a callable (entrypoint) defined in the
2025-08-14T20:56:26.6025760Z             repo/dir's ``hubconf.py``.
2025-08-14T20:56:26.6025880Z         *args (optional): the corresponding args for callable ``model``.
2025-08-14T20:56:26.6025990Z         source (str, optional): 'github' or 'local'. Specifies how
2025-08-14T20:56:26.6026090Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-08-14T20:56:26.6026230Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-08-14T20:56:26.6026370Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-08-14T20:56:26.6026450Z             only run code from repos that they trust.
2025-08-14T20:56:26.6026490Z     
2025-08-14T20:56:26.6026610Z             - If ``False``, a prompt will ask the user whether the repo should
2025-08-14T20:56:26.6026660Z               be trusted.
2025-08-14T20:56:26.6026780Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-08-14T20:56:26.6026860Z               without requiring explicit confirmation.
2025-08-14T20:56:26.6026970Z             - If ``"check"``, the repo will be checked against the list of
2025-08-14T20:56:26.6027090Z               trusted repos in the cache. If it is not present in that list, the
2025-08-14T20:56:26.6027210Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-08-14T20:56:26.6027330Z             - If ``None``: this will raise a warning, inviting the user to set
2025-08-14T20:56:26.6027500Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-08-14T20:56:26.6027630Z               is only present for backward compatibility and will be removed in
2025-08-14T20:56:26.6027670Z               v2.0.
2025-08-14T20:56:26.6027710Z     
2025-08-14T20:56:26.6027840Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-08-14T20:56:26.6027960Z         force_reload (bool, optional): whether to force a fresh download of
2025-08-14T20:56:26.6028080Z             the github repo unconditionally. Does not have any effect if
2025-08-14T20:56:26.6028160Z             ``source = 'local'``. Default is ``False``.
2025-08-14T20:56:26.6028280Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-08-14T20:56:26.6028410Z             local caches. Note that the message about first download cannot be
2025-08-14T20:56:26.6028510Z             muted. Does not have any effect if ``source = 'local'``.
2025-08-14T20:56:26.6028570Z             Default is ``True``.
2025-08-14T20:56:26.6028750Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-08-14T20:56:26.6028920Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-08-14T20:56:26.6029080Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-08-14T20:56:26.6029200Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-08-14T20:56:26.6029330Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-14T20:56:26.6029370Z     
2025-08-14T20:56:26.6029420Z     Returns:
2025-08-14T20:56:26.6029540Z         The output of the ``model`` callable when called with the given
2025-08-14T20:56:26.6029600Z         ``*args`` and ``**kwargs``.
2025-08-14T20:56:26.6029640Z     
2025-08-14T20:56:26.6029780Z     Example:
2025-08-14T20:56:26.6029860Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:26.6029950Z         >>> # from a github repo
2025-08-14T20:56:26.6030010Z         >>> repo = "pytorch/vision"
2025-08-14T20:56:26.6030070Z         >>> model = torch.hub.load(
2025-08-14T20:56:26.6030180Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-08-14T20:56:26.6030220Z         ... )
2025-08-14T20:56:26.6030270Z         >>> # from a local directory
2025-08-14T20:56:26.6030350Z         >>> path = "/some/local/path/pytorch/vision"
2025-08-14T20:56:26.6030410Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6030550Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-08-14T20:56:26.6030590Z     
2025-08-14T20:56:26.6030740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6030780Z     
2025-08-14T20:56:26.6030840Z       warnings.warn(msg)
2025-08-14T20:56:26.6030880Z     
2025-08-14T20:56:26.6030980Z --- Parse Warning: 8 / 146 ---
2025-08-14T20:56:26.6031590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=657.
2025-08-14T20:56:26.6031750Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6031790Z     
2025-08-14T20:56:26.6031890Z     Load a model from a local directory with a ``hubconf.py``.
2025-08-14T20:56:26.6031930Z     
2025-08-14T20:56:26.6031970Z     Args:
2025-08-14T20:56:26.6032080Z         hubconf_dir (str): path to a local directory that contains a
2025-08-14T20:56:26.6032130Z             ``hubconf.py``.
2025-08-14T20:56:26.6032250Z         model (str): name of an entrypoint defined in the directory's
2025-08-14T20:56:26.6032300Z             ``hubconf.py``.
2025-08-14T20:56:26.6032420Z         *args (optional): the corresponding args for callable ``model``.
2025-08-14T20:56:26.6032600Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-08-14T20:56:26.6032640Z     
2025-08-14T20:56:26.6032680Z     Returns:
2025-08-14T20:56:26.6032790Z         a single model with corresponding pretrained weights.
2025-08-14T20:56:26.6032820Z     
2025-08-14T20:56:26.6032870Z     Example:
2025-08-14T20:56:26.6032940Z         >>> # xdoctest: +SKIP("stub local path")
2025-08-14T20:56:26.6033020Z         >>> path = "/some/local/path/pytorch/vision"
2025-08-14T20:56:26.6033070Z         >>> model = _load_local(
2025-08-14T20:56:26.6033110Z         ...     path,
2025-08-14T20:56:26.6033160Z         ...     "resnet50",
2025-08-14T20:56:26.6033250Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-08-14T20:56:26.6033290Z         ... )
2025-08-14T20:56:26.6033330Z     
2025-08-14T20:56:26.6033480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6033520Z     
2025-08-14T20:56:26.6033580Z       warnings.warn(msg)
2025-08-14T20:56:26.6033610Z     
2025-08-14T20:56:26.6033720Z --- Parse Warning: 9 / 146 ---
2025-08-14T20:56:26.6034340Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=696.
2025-08-14T20:56:26.6034490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6034580Z     Download object at the given URL to a local path.
2025-08-14T20:56:26.6034620Z     
2025-08-14T20:56:26.6034660Z         Args:
2025-08-14T20:56:26.6034740Z             url (str): URL of the object to download
2025-08-14T20:56:26.6034880Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-08-14T20:56:26.6035150Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-08-14T20:56:26.6035230Z                 Default: None
2025-08-14T20:56:26.6035380Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-08-14T20:56:26.6035430Z                 Default: True
2025-08-14T20:56:26.6035470Z     
2025-08-14T20:56:26.6035510Z         Example:
2025-08-14T20:56:26.6035600Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:26.6035660Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-08-14T20:56:26.6035730Z             >>> torch.hub.download_url_to_file(
2025-08-14T20:56:26.6035880Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-08-14T20:56:26.6035940Z             ...     "/tmp/temporary_file",
2025-08-14T20:56:26.6035980Z             ... )
2025-08-14T20:56:26.6036020Z     
2025-08-14T20:56:26.6036060Z         
2025-08-14T20:56:26.6036210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6036250Z     
2025-08-14T20:56:26.6036310Z       warnings.warn(msg)
2025-08-14T20:56:26.6036340Z     
2025-08-14T20:56:26.6036450Z --- Parse Warning: 10 / 146 ---
2025-08-14T20:56:26.6037070Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/hub.py line=821.
2025-08-14T20:56:26.6037230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6037320Z     Loads the Torch serialized object at the given URL.
2025-08-14T20:56:26.6037360Z     
2025-08-14T20:56:26.6037470Z         If downloaded file is a zip file, it will be automatically
2025-08-14T20:56:26.6037520Z         decompressed.
2025-08-14T20:56:26.6037560Z     
2025-08-14T20:56:26.6037690Z         If the object is already present in `model_dir`, it's deserialized and
2025-08-14T20:56:26.6037780Z         returned.
2025-08-14T20:56:26.6037910Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-08-14T20:56:26.6038030Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-08-14T20:56:26.6038070Z     
2025-08-14T20:56:26.6038110Z         Args:
2025-08-14T20:56:26.6038190Z             url (str): URL of the object to download
2025-08-14T20:56:26.6038310Z             model_dir (str, optional): directory in which to save the object
2025-08-14T20:56:26.6038510Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-08-14T20:56:26.6038670Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-08-14T20:56:26.6038720Z                 Default: True
2025-08-14T20:56:26.6038910Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-08-14T20:56:26.6039050Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-08-14T20:56:26.6039190Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-08-14T20:56:26.6039310Z                 ensure unique names and to verify the contents of the file.
2025-08-14T20:56:26.6039360Z                 Default: False
2025-08-14T20:56:26.6039560Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-08-14T20:56:26.6039750Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-08-14T20:56:26.6039910Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-08-14T20:56:26.6039950Z     
2025-08-14T20:56:26.6039990Z         Example:
2025-08-14T20:56:26.6040160Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-08-14T20:56:26.6040250Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-08-14T20:56:26.6040440Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-08-14T20:56:26.6040490Z             ... )
2025-08-14T20:56:26.6040530Z     
2025-08-14T20:56:26.6040570Z         
2025-08-14T20:56:26.6040720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6040760Z     
2025-08-14T20:56:26.6040810Z       warnings.warn(msg)
2025-08-14T20:56:26.6040850Z     
2025-08-14T20:56:26.6040950Z --- Parse Warning: 11 / 146 ---
2025-08-14T20:56:26.6041570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py line=446.
2025-08-14T20:56:26.6041730Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6041870Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-08-14T20:56:26.6041910Z     
2025-08-14T20:56:26.6042030Z             This is helpful when you want to visualize data over some
2025-08-14T20:56:26.6042120Z             range of inputs. See below for a plotting example.
2025-08-14T20:56:26.6042160Z     
2025-08-14T20:56:26.6042260Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-08-14T20:56:26.6042380Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-08-14T20:56:26.6042490Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-08-14T20:56:26.6042590Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-08-14T20:56:26.6042710Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-08-14T20:56:26.6042760Z             to the result shape.
2025-08-14T20:56:26.6042810Z     
2025-08-14T20:56:26.6042850Z             .. note::
2025-08-14T20:56:26.6043020Z                 0D inputs are treated equivalently to 1D inputs of a
2025-08-14T20:56:26.6043070Z                 single element.
2025-08-14T20:56:26.6043110Z     
2025-08-14T20:56:26.6043160Z             .. warning::
2025-08-14T20:56:26.6043270Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-08-14T20:56:26.6043370Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-08-14T20:56:26.6043410Z     
2025-08-14T20:56:26.6043500Z                 In the future `torch.meshgrid` will transition to
2025-08-14T20:56:26.6043570Z                 `indexing='xy'` as the default.
2025-08-14T20:56:26.6043610Z     
2025-08-14T20:56:26.6043720Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-08-14T20:56:26.6043830Z                 this issue with the goal of migrating to NumPy's behavior.
2025-08-14T20:56:26.6043870Z     
2025-08-14T20:56:26.6043920Z             .. seealso::
2025-08-14T20:56:26.6043960Z     
2025-08-14T20:56:26.6044070Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-08-14T20:56:26.6044150Z                 collects the data in a tensor of vectors.
2025-08-14T20:56:26.6044190Z     
2025-08-14T20:56:26.6044230Z             Args:
2025-08-14T20:56:26.6044400Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-08-14T20:56:26.6044500Z                     treated as tensors of size :math:`(1,)` automatically
2025-08-14T20:56:26.6044540Z     
2025-08-14T20:56:26.6044650Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-08-14T20:56:26.6044750Z                     or "ij", defaults to "ij". See warning for future changes.
2025-08-14T20:56:26.6044800Z     
2025-08-14T20:56:26.6044890Z                     If "xy" is selected, the first dimension corresponds
2025-08-14T20:56:26.6044990Z                     to the cardinality of the second input and the second
2025-08-14T20:56:26.6045160Z                     dimension corresponds to the cardinality of the first
2025-08-14T20:56:26.6045250Z                     input.
2025-08-14T20:56:26.6045290Z     
2025-08-14T20:56:26.6045380Z                     If "ij" is selected, the dimensions are in the same
2025-08-14T20:56:26.6045460Z                     order as the cardinality of the inputs.
2025-08-14T20:56:26.6045500Z     
2025-08-14T20:56:26.6045540Z             Returns:
2025-08-14T20:56:26.6045650Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-08-14T20:56:26.6045740Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-08-14T20:56:26.6045850Z                 output will also have :math:`N` tensors, where each tensor
2025-08-14T20:56:26.6045930Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-08-14T20:56:26.6045970Z     
2025-08-14T20:56:26.6046020Z             Example::
2025-08-14T20:56:26.6046060Z     
2025-08-14T20:56:26.6046130Z                 >>> x = torch.tensor([1, 2, 3])
2025-08-14T20:56:26.6046190Z                 >>> y = torch.tensor([4, 5, 6])
2025-08-14T20:56:26.6046240Z     
2025-08-14T20:56:26.6046350Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-08-14T20:56:26.6046440Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-08-14T20:56:26.6046500Z                 cartesian product.
2025-08-14T20:56:26.6046600Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-08-14T20:56:26.6046650Z                 >>> grid_x
2025-08-14T20:56:26.6046700Z                 tensor([[1, 1, 1],
2025-08-14T20:56:26.6046750Z                         [2, 2, 2],
2025-08-14T20:56:26.6046800Z                         [3, 3, 3]])
2025-08-14T20:56:26.6046850Z                 >>> grid_y
2025-08-14T20:56:26.6046900Z                 tensor([[4, 5, 6],
2025-08-14T20:56:26.6046950Z                         [4, 5, 6],
2025-08-14T20:56:26.6047000Z                         [4, 5, 6]])
2025-08-14T20:56:26.6047040Z     
2025-08-14T20:56:26.6047200Z                 This correspondence can be seen when these grids are
2025-08-14T20:56:26.6047260Z                 stacked properly.
2025-08-14T20:56:26.6047380Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-08-14T20:56:26.6047460Z                 ...             torch.cartesian_prod(x, y))
2025-08-14T20:56:26.6047510Z                 True
2025-08-14T20:56:26.6047550Z     
2025-08-14T20:56:26.6047650Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-08-14T20:56:26.6047700Z                 plotting.
2025-08-14T20:56:26.6047790Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-08-14T20:56:26.6047860Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-08-14T20:56:26.6047940Z                 >>> import matplotlib.pyplot as plt
2025-08-14T20:56:26.6048020Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-08-14T20:56:26.6048100Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-08-14T20:56:26.6048180Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-08-14T20:56:26.6048270Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-08-14T20:56:26.6048340Z                 >>> ax = plt.axes(projection='3d')
2025-08-14T20:56:26.6048430Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-08-14T20:56:26.6048490Z                 >>> plt.show()
2025-08-14T20:56:26.6048530Z     
2025-08-14T20:56:26.6048600Z             .. image:: ../_static/img/meshgrid.png
2025-08-14T20:56:26.6048650Z                 :width: 512
2025-08-14T20:56:26.6048690Z     
2025-08-14T20:56:26.6048730Z             
2025-08-14T20:56:26.6048880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6048920Z     
2025-08-14T20:56:26.6048970Z       warnings.warn(msg)
2025-08-14T20:56:26.6049010Z     
2025-08-14T20:56:26.6049110Z --- Parse Warning: 12 / 146 ---
2025-08-14T20:56:26.6049830Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/functional.py line=842.
2025-08-14T20:56:26.6050020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6050240Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-08-14T20:56:26.6050290Z     
2025-08-14T20:56:26.6050370Z         Returns the unique elements of the input tensor.
2025-08-14T20:56:26.6050420Z     
2025-08-14T20:56:26.6050590Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-08-14T20:56:26.6050720Z             this function also eliminates non-consecutive duplicate values.
2025-08-14T20:56:26.6050750Z     
2025-08-14T20:56:26.6050890Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-08-14T20:56:26.6051070Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-08-14T20:56:26.6051240Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-08-14T20:56:26.6051350Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-08-14T20:56:26.6051390Z     
2025-08-14T20:56:26.6051440Z         Args:
2025-08-14T20:56:26.6051510Z             input (Tensor): the input tensor
2025-08-14T20:56:26.6051650Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-08-14T20:56:26.6051720Z                 before returning as output.
2025-08-14T20:56:26.6051860Z             return_inverse (bool): Whether to also return the indices for where
2025-08-14T20:56:26.6052000Z                 elements in the original input ended up in the returned unique list.
2025-08-14T20:56:26.6052150Z             return_counts (bool): Whether to also return the counts for each unique
2025-08-14T20:56:26.6052250Z                 element.
2025-08-14T20:56:26.6052390Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-08-14T20:56:26.6052510Z                 unique of the flattened input is returned. Otherwise, each of the
2025-08-14T20:56:26.6052640Z                 tensors indexed by the given dimension is treated as one of the
2025-08-14T20:56:26.6052760Z                 elements to apply the unique operation upon. See examples for more
2025-08-14T20:56:26.6052830Z                 details. Default: ``None``
2025-08-14T20:56:26.6052870Z     
2025-08-14T20:56:26.6052910Z         Returns:
2025-08-14T20:56:26.6053080Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-08-14T20:56:26.6053120Z     
2025-08-14T20:56:26.6053240Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-08-14T20:56:26.6053330Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-08-14T20:56:26.6053450Z                   :attr:`return_inverse` is True, there will be an additional
2025-08-14T20:56:26.6053570Z                   returned tensor (same shape as input) representing the indices
2025-08-14T20:56:26.6053690Z                   for where elements in the original input map to in the output;
2025-08-14T20:56:26.6053810Z                   otherwise, this function will only return a single tensor.
2025-08-14T20:56:26.6053880Z                 - **counts** (*Tensor*): (optional) if
2025-08-14T20:56:26.6053990Z                   :attr:`return_counts` is True, there will be an additional
2025-08-14T20:56:26.6054100Z                   returned tensor (same shape as output or output.size(dim),
2025-08-14T20:56:26.6054210Z                   if dim was specified) representing the number of occurrences
2025-08-14T20:56:26.6054280Z                   for each unique value or tensor.
2025-08-14T20:56:26.6054320Z     
2025-08-14T20:56:26.6054440Z         Example::
2025-08-14T20:56:26.6054480Z     
2025-08-14T20:56:26.6054630Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-08-14T20:56:26.6054680Z             >>> output
2025-08-14T20:56:26.6054730Z             tensor([1, 2, 3])
2025-08-14T20:56:26.6054770Z     
2025-08-14T20:56:26.6054850Z             >>> output, inverse_indices = torch.unique(
2025-08-14T20:56:26.6054990Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-14T20:56:26.6055040Z             >>> output
2025-08-14T20:56:26.6055090Z             tensor([1, 2, 3])
2025-08-14T20:56:26.6055140Z             >>> inverse_indices
2025-08-14T20:56:26.6055200Z             tensor([0, 2, 1, 2])
2025-08-14T20:56:26.6055230Z     
2025-08-14T20:56:26.6055310Z             >>> output, inverse_indices = torch.unique(
2025-08-14T20:56:26.6055460Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-08-14T20:56:26.6055510Z             >>> output
2025-08-14T20:56:26.6055560Z             tensor([1, 2, 3])
2025-08-14T20:56:26.6055610Z             >>> inverse_indices
2025-08-14T20:56:26.6055660Z             tensor([[0, 2],
2025-08-14T20:56:26.6055710Z                     [1, 2]])
2025-08-14T20:56:26.6055750Z     
2025-08-14T20:56:26.6055800Z             >>> a = torch.tensor([
2025-08-14T20:56:26.6055840Z             ...     [
2025-08-14T20:56:26.6055900Z             ...         [1, 1, 0, 0],
2025-08-14T20:56:26.6055950Z             ...         [1, 1, 0, 0],
2025-08-14T20:56:26.6056000Z             ...         [0, 0, 1, 1],
2025-08-14T20:56:26.6056040Z             ...     ],
2025-08-14T20:56:26.6056090Z             ...     [
2025-08-14T20:56:26.6056140Z             ...         [0, 0, 1, 1],
2025-08-14T20:56:26.6056180Z             ...         [0, 0, 1, 1],
2025-08-14T20:56:26.6056230Z             ...         [1, 1, 1, 1],
2025-08-14T20:56:26.6056280Z             ...     ],
2025-08-14T20:56:26.6056320Z             ...     [
2025-08-14T20:56:26.6056390Z             ...         [1, 1, 0, 0],
2025-08-14T20:56:26.6056440Z             ...         [1, 1, 0, 0],
2025-08-14T20:56:26.6056490Z             ...         [0, 0, 1, 1],
2025-08-14T20:56:26.6056530Z             ...     ],
2025-08-14T20:56:26.6056580Z             ... ])
2025-08-14T20:56:26.6056620Z     
2025-08-14T20:56:26.6056750Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-08-14T20:56:26.6056880Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-08-14T20:56:26.6056970Z             >>> # each other, so one of them will be removed.
2025-08-14T20:56:26.6057030Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-08-14T20:56:26.6057080Z             tensor(True)
2025-08-14T20:56:26.6057160Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-08-14T20:56:26.6057200Z             >>> a_unique_dim0
2025-08-14T20:56:26.6057260Z             tensor([[[0, 0, 1, 1],
2025-08-14T20:56:26.6057310Z                      [0, 0, 1, 1],
2025-08-14T20:56:26.6057370Z                      [1, 1, 1, 1]],
2025-08-14T20:56:26.6057420Z                     [[1, 1, 0, 0],
2025-08-14T20:56:26.6057470Z                      [1, 1, 0, 0],
2025-08-14T20:56:26.6057530Z                      [0, 0, 1, 1]]])
2025-08-14T20:56:26.6057570Z     
2025-08-14T20:56:26.6057700Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-08-14T20:56:26.6057760Z             >>> # `a_unique_dim0`:
2025-08-14T20:56:26.6057830Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-08-14T20:56:26.6057890Z             tensor(True)
2025-08-14T20:56:26.6057970Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-08-14T20:56:26.6058010Z             tensor(True)
2025-08-14T20:56:26.6058050Z     
2025-08-14T20:56:26.6058180Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-08-14T20:56:26.6058340Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-08-14T20:56:26.6058430Z             >>> # them will be removed.
2025-08-14T20:56:26.6058500Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-08-14T20:56:26.6058540Z             tensor(True)
2025-08-14T20:56:26.6058610Z             >>> torch.unique(a, dim=1)
2025-08-14T20:56:26.6058660Z             tensor([[[0, 0, 1, 1],
2025-08-14T20:56:26.6058710Z                      [1, 1, 0, 0]],
2025-08-14T20:56:26.6058760Z                     [[1, 1, 1, 1],
2025-08-14T20:56:26.6058810Z                      [0, 0, 1, 1]],
2025-08-14T20:56:26.6058860Z                     [[0, 0, 1, 1],
2025-08-14T20:56:26.6058910Z                      [1, 1, 0, 0]]])
2025-08-14T20:56:26.6058950Z     
2025-08-14T20:56:26.6059070Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-08-14T20:56:26.6059170Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-08-14T20:56:26.6059280Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-08-14T20:56:26.6063140Z             >>> # sub-tensors will be removed.
2025-08-14T20:56:26.6063200Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-08-14T20:56:26.6063260Z             tensor(True)
2025-08-14T20:56:26.6063310Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-08-14T20:56:26.6063360Z             tensor(True)
2025-08-14T20:56:26.6063420Z             >>> torch.unique(a, dim=2)
2025-08-14T20:56:26.6063470Z             tensor([[[0, 1],
2025-08-14T20:56:26.6063520Z                      [0, 1],
2025-08-14T20:56:26.6063560Z                      [1, 0]],
2025-08-14T20:56:26.6063610Z                     [[1, 0],
2025-08-14T20:56:26.6063650Z                      [1, 0],
2025-08-14T20:56:26.6063700Z                      [1, 1]],
2025-08-14T20:56:26.6063750Z                     [[0, 1],
2025-08-14T20:56:26.6063790Z                      [0, 1],
2025-08-14T20:56:26.6063840Z                      [1, 0]]])
2025-08-14T20:56:26.6063890Z         
2025-08-14T20:56:26.6064100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6064170Z     
2025-08-14T20:56:26.6064210Z       warnings.warn(msg)
2025-08-14T20:56:26.6064260Z     
2025-08-14T20:56:26.6064380Z --- Parse Warning: 13 / 146 ---
2025-08-14T20:56:26.6065010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-08-14T20:56:26.6065170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6065370Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-08-14T20:56:26.6065410Z     
2025-08-14T20:56:26.6065520Z         Loads an object saved with :func:`torch.save` from a file.
2025-08-14T20:56:26.6065560Z     
2025-08-14T20:56:26.6065710Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-08-14T20:56:26.6065850Z         which underlie tensors, specially. They are first deserialized on the
2025-08-14T20:56:26.6065980Z         CPU and are then moved to the device they were saved from. If this fails
2025-08-14T20:56:26.6066120Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-08-14T20:56:26.6066270Z         is raised. However, storages can be dynamically remapped to an alternative
2025-08-14T20:56:26.6066370Z         set of devices using the :attr:`map_location` argument.
2025-08-14T20:56:26.6066410Z     
2025-08-14T20:56:26.6066560Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-08-14T20:56:26.6066690Z         storage with two arguments: storage and location. The storage argument
2025-08-14T20:56:26.6066890Z         will be the initial deserialization of the storage, residing on the CPU.
2025-08-14T20:56:26.6067020Z         Each serialized storage has a location tag associated with it which
2025-08-14T20:56:26.6067150Z         identifies the device it was saved from, and this tag is the second
2025-08-14T20:56:26.6067300Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-08-14T20:56:26.6067440Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-08-14T20:56:26.6067560Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-08-14T20:56:26.6067720Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-08-14T20:56:26.6067860Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-08-14T20:56:26.6068010Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-08-14T20:56:26.6068050Z     
2025-08-14T20:56:26.6068190Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-08-14T20:56:26.6068330Z         a device tag, it indicates the location where all tensors should be loaded.
2025-08-14T20:56:26.6068620Z     
2025-08-14T20:56:26.6068780Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-08-14T20:56:26.6068900Z         appearing in the file (keys), to ones that specify where to put the
2025-08-14T20:56:26.6068960Z         storages (values).
2025-08-14T20:56:26.6069000Z     
2025-08-14T20:56:26.6069130Z         User extensions can register their own location tags and tagging and
2025-08-14T20:56:26.6069290Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-08-14T20:56:26.6069330Z     
2025-08-14T20:56:26.6069480Z         See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-08-14T20:56:26.6069520Z     
2025-08-14T20:56:26.6069560Z         Args:
2025-08-14T20:56:26.6069750Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-08-14T20:56:26.6069910Z                 or a string or os.PathLike object containing a file name
2025-08-14T20:56:26.6070110Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-08-14T20:56:26.6070150Z                 locations
2025-08-14T20:56:26.6070290Z             pickle_module: module used for unpickling metadata and objects (has to
2025-08-14T20:56:26.6070400Z                 match the :attr:`pickle_module` used to serialize file)
2025-08-14T20:56:26.6070530Z             weights_only: Indicates whether unpickler should be restricted to
2025-08-14T20:56:26.6070630Z                 loading only tensors, primitive types, dictionaries
2025-08-14T20:56:26.6070760Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-08-14T20:56:26.6070840Z                 See :ref:`weights-only` for more details.
2025-08-14T20:56:26.6071050Z             mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-08-14T20:56:26.6071250Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-08-14T20:56:26.6071450Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-08-14T20:56:26.6071660Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-08-14T20:56:26.6071870Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-08-14T20:56:26.6071970Z                 will be lazily loaded when their data is accessed.
2025-08-14T20:56:26.6072120Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-08-14T20:56:26.6072350Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-08-14T20:56:26.6072410Z                 :attr:`errors=...`.
2025-08-14T20:56:26.6072460Z     
2025-08-14T20:56:26.6072510Z         .. warning::
2025-08-14T20:56:26.6072630Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-08-14T20:56:26.6072760Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-08-14T20:56:26.6072920Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-08-14T20:56:26.6073060Z             during unpickling. Never load data that could have come from an untrusted
2025-08-14T20:56:26.6073240Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-08-14T20:56:26.6073280Z     
2025-08-14T20:56:26.6073330Z         .. note::
2025-08-14T20:56:26.6073480Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-08-14T20:56:26.6073640Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-08-14T20:56:26.6073810Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-08-14T20:56:26.6074070Z     
2025-08-14T20:56:26.6074110Z         .. note::
2025-08-14T20:56:26.6074260Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-08-14T20:56:26.6074390Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-08-14T20:56:26.6074520Z             when loading files saved by Python 2 in Python 3.  If this default
2025-08-14T20:56:26.6074670Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-08-14T20:56:26.6074820Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-08-14T20:56:26.6074960Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-08-14T20:56:26.6075100Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-08-14T20:56:26.6075190Z     
2025-08-14T20:56:26.6075240Z         Example:
2025-08-14T20:56:26.6075320Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-08-14T20:56:26.6075410Z             >>> torch.load("tensors.pt", weights_only=True)
2025-08-14T20:56:26.6075470Z             # Load all tensors onto the CPU
2025-08-14T20:56:26.6075530Z             >>> torch.load(
2025-08-14T20:56:26.6075580Z             ...     "tensors.pt",
2025-08-14T20:56:26.6075660Z             ...     map_location=torch.device("cpu"),
2025-08-14T20:56:26.6075720Z             ...     weights_only=True,
2025-08-14T20:56:26.6075760Z             ... )
2025-08-14T20:56:26.6075850Z             # Load all tensors onto the CPU, using a function
2025-08-14T20:56:26.6075900Z             >>> torch.load(
2025-08-14T20:56:26.6075950Z             ...     "tensors.pt",
2025-08-14T20:56:26.6086880Z             ...     map_location=lambda storage, loc: storage,
2025-08-14T20:56:26.6086950Z             ...     weights_only=True,
2025-08-14T20:56:26.6086990Z             ... )
2025-08-14T20:56:26.6087060Z             # Load all tensors onto GPU 1
2025-08-14T20:56:26.6087110Z             >>> torch.load(
2025-08-14T20:56:26.6087160Z             ...     "tensors.pt",
2025-08-14T20:56:26.6087260Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-08-14T20:56:26.6087320Z             ...     weights_only=True,
2025-08-14T20:56:26.6087390Z             ... )  # type: ignore[attr-defined]
2025-08-14T20:56:26.6087460Z             # Map tensors from GPU 1 to GPU 0
2025-08-14T20:56:26.6087500Z             >>> torch.load(
2025-08-14T20:56:26.6087560Z             ...     "tensors.pt",
2025-08-14T20:56:26.6087630Z             ...     map_location={"cuda:1": "cuda:0"},
2025-08-14T20:56:26.6087680Z             ...     weights_only=True,
2025-08-14T20:56:26.6087720Z             ... )
2025-08-14T20:56:26.6087900Z             # Load tensor from io.BytesIO object
2025-08-14T20:56:26.6088060Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-08-14T20:56:26.6088130Z             >>> with open("tensor.pt", "rb") as f:
2025-08-14T20:56:26.6088200Z             ...     buffer = io.BytesIO(f.read())
2025-08-14T20:56:26.6088270Z             >>> torch.load(buffer, weights_only=False)
2025-08-14T20:56:26.6088370Z             # Load a module with 'ascii' encoding for unpickling
2025-08-14T20:56:26.6088510Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-08-14T20:56:26.6088630Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-08-14T20:56:26.6088670Z         
2025-08-14T20:56:26.6088820Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6088860Z     
2025-08-14T20:56:26.6088910Z       warnings.warn(msg)
2025-08-14T20:56:26.6088950Z     
2025-08-14T20:56:26.6089080Z --- Parse Warning: 14 / 146 ---
2025-08-14T20:56:26.6089720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-08-14T20:56:26.6089970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6090010Z     
2025-08-14T20:56:26.6090150Z     Append the given callback function to this ``Future``, which will be run
2025-08-14T20:56:26.6090270Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-08-14T20:56:26.6090390Z     the same ``Future``, but the order in which they will be executed cannot
2025-08-14T20:56:26.6090500Z     be guaranteed (to enforce a certain order consider chaining:
2025-08-14T20:56:26.6090620Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-08-14T20:56:26.6090750Z     is the reference to this ``Future``. The callback function can use the
2025-08-14T20:56:26.6090900Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-08-14T20:56:26.6091040Z     already completed, the given callback will be run immediately inline.
2025-08-14T20:56:26.6091080Z     
2025-08-14T20:56:26.6091200Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-08-14T20:56:26.6091320Z     callback might be invoked while the async kernels that are populating
2025-08-14T20:56:26.6091470Z     those tensors haven't yet finished executing on the device. However, the
2025-08-14T20:56:26.6091590Z     callback will be invoked with some dedicated streams set as current
2025-08-14T20:56:26.6091710Z     (fetched from a global pool) which will be synchronized with those
2025-08-14T20:56:26.6091850Z     kernels. Hence any operation performed by the callback on these tensors
2025-08-14T20:56:26.6091980Z     will be scheduled on the device after the kernels complete. In other
2025-08-14T20:56:26.6092110Z     words, as long as the callback doesn't switch streams, it can safely
2025-08-14T20:56:26.6092240Z     manipulate the result without any additional synchronization. This is
2025-08-14T20:56:26.6092340Z     similar to the non-blocking behavior of :meth:`wait`.
2025-08-14T20:56:26.6092390Z     
2025-08-14T20:56:26.6092520Z     Similarly, if the callback returns a value that contains tensors that
2025-08-14T20:56:26.6092640Z     reside on a GPU, it can do so even if the kernels that are producing
2025-08-14T20:56:26.6092760Z     these tensors are still running on the device, as long as the callback
2025-08-14T20:56:26.6092880Z     didn't change streams during its execution. If one wants to change
2025-08-14T20:56:26.6093010Z     streams, one must be careful to re-synchronize them with the original
2025-08-14T20:56:26.6093140Z     streams, that is, those that were current when the callback was invoked.
2025-08-14T20:56:26.6093180Z     
2025-08-14T20:56:26.6093270Z     Args:
2025-08-14T20:56:26.6093400Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-08-14T20:56:26.6093470Z                                 the only argument.
2025-08-14T20:56:26.6093510Z     
2025-08-14T20:56:26.6093550Z     Returns:
2025-08-14T20:56:26.6093660Z         A new ``Future`` object that holds the return value of the
2025-08-14T20:56:26.6093770Z         ``callback`` and will be marked as completed when the given
2025-08-14T20:56:26.6093820Z         ``callback`` finishes.
2025-08-14T20:56:26.6093860Z     
2025-08-14T20:56:26.6093970Z     .. note:: Note that if the callback function throws, either
2025-08-14T20:56:26.6094090Z         through the original future being completed with an exception and
2025-08-14T20:56:26.6094210Z         calling ``fut.wait()``, or through other code in the callback, the
2025-08-14T20:56:26.6094330Z         future returned by ``then`` will be marked appropriately with the
2025-08-14T20:56:26.6094450Z         encountered error. However, if this callback later completes
2025-08-14T20:56:26.6094570Z         additional futures, those futures are not marked as completed with
2025-08-14T20:56:26.6094750Z         an error and the user is responsible for handling completion/waiting
2025-08-14T20:56:26.6094820Z         on those futures independently.
2025-08-14T20:56:26.6094850Z     
2025-08-14T20:56:26.6094900Z     Example::
2025-08-14T20:56:26.6094940Z     
2025-08-14T20:56:26.6095030Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-14T20:56:26.6095080Z         >>> def callback(fut):
2025-08-14T20:56:26.6095170Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-08-14T20:56:26.6095230Z         >>> fut = torch.futures.Future()
2025-08-14T20:56:26.6095340Z         >>> # The inserted callback will print the return value when
2025-08-14T20:56:26.6095410Z         >>> # receiving the response from "worker1"
2025-08-14T20:56:26.6095470Z         >>> cb_fut = fut.then(callback)
2025-08-14T20:56:26.6095530Z         >>> chain_cb_fut = cb_fut.then(
2025-08-14T20:56:26.6095710Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-08-14T20:56:26.6095760Z         ... )
2025-08-14T20:56:26.6095810Z         >>> fut.set_result(5)
2025-08-14T20:56:26.6095860Z         RPC return value is 5.
2025-08-14T20:56:26.6095910Z         Chained cb done. None
2025-08-14T20:56:26.6095950Z     
2025-08-14T20:56:26.6096110Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6096150Z     
2025-08-14T20:56:26.6096200Z       warnings.warn(msg)
2025-08-14T20:56:26.6096240Z     
2025-08-14T20:56:26.6096340Z --- Parse Warning: 15 / 146 ---
2025-08-14T20:56:26.6097000Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-08-14T20:56:26.6097150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6097200Z     
2025-08-14T20:56:26.6097320Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-08-14T20:56:26.6097450Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-08-14T20:56:26.6097520Z     cannot be marked completed twice.
2025-08-14T20:56:26.6097550Z     
2025-08-14T20:56:26.6097680Z     If the result contains tensors that reside on GPUs, this method can be
2025-08-14T20:56:26.6097800Z     called even if the asynchronous kernels that are populating those
2025-08-14T20:56:26.6097930Z     tensors haven't yet completed running on the device, provided that the
2025-08-14T20:56:26.6098060Z     streams on which those kernels were enqueued are set as the current ones
2025-08-14T20:56:26.6098190Z     when this method is called. Put simply, it's safe to call this method
2025-08-14T20:56:26.6098370Z     immediately after launching those kernels, without any additional
2025-08-14T20:56:26.6098510Z     synchronization, as long as one doesn't change streams in between. This
2025-08-14T20:56:26.6098640Z     method will record events on all the relevant current streams and will
2025-08-14T20:56:26.6098760Z     use them to ensure proper scheduling for all the consumers of this
2025-08-14T20:56:26.6098800Z     ``Future``.
2025-08-14T20:56:26.6098840Z     
2025-08-14T20:56:26.6098880Z     Args:
2025-08-14T20:56:26.6098990Z         result (object): the result object of this ``Future``.
2025-08-14T20:56:26.6099020Z     
2025-08-14T20:56:26.6099070Z     Example::
2025-08-14T20:56:26.6099110Z     
2025-08-14T20:56:26.6099190Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-08-14T20:56:26.6099250Z         >>> import threading
2025-08-14T20:56:26.6099290Z         >>> import time
2025-08-14T20:56:26.6099360Z         >>> def slow_set_future(fut, value):
2025-08-14T20:56:26.6099410Z         ...     time.sleep(0.5)
2025-08-14T20:56:26.6099470Z         ...     fut.set_result(value)
2025-08-14T20:56:26.6099540Z         >>> fut = torch.futures.Future()
2025-08-14T20:56:26.6099680Z         >>> t = threading.Thread(
2025-08-14T20:56:26.6099730Z         ...     target=slow_set_future,
2025-08-14T20:56:26.6099800Z         ...     args=(fut, torch.ones(2) * 3)
2025-08-14T20:56:26.6099840Z         ... )
2025-08-14T20:56:26.6099880Z         >>> t.start()
2025-08-14T20:56:26.6099930Z         >>> print(fut.wait())
2025-08-14T20:56:26.6099980Z         tensor([3., 3.])
2025-08-14T20:56:26.6100020Z         >>> t.join()
2025-08-14T20:56:26.6100060Z     
2025-08-14T20:56:26.6100210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6100250Z     
2025-08-14T20:56:26.6100310Z       warnings.warn(msg)
2025-08-14T20:56:26.6100340Z     
2025-08-14T20:56:26.6100440Z --- Parse Warning: 16 / 146 ---
2025-08-14T20:56:26.6101080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-08-14T20:56:26.6101260Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6101390Z     Compiles compute shader from source and allows one to invoke kernels
2025-08-14T20:56:26.6101480Z         defined there from the comfort of Python runtime
2025-08-14T20:56:26.6101530Z         Example::
2025-08-14T20:56:26.6101570Z     
2025-08-14T20:56:26.6101650Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-08-14T20:56:26.6101720Z             >>> lib = torch.mps.compile_shader(
2025-08-14T20:56:26.6101950Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-08-14T20:56:26.6101990Z             ...  )
2025-08-14T20:56:26.6102060Z             >>> x = torch.zeros(16, device="mps")
2025-08-14T20:56:26.6102120Z             >>> lib.full(x, 3.14)
2025-08-14T20:56:26.6102160Z         
2025-08-14T20:56:26.6102310Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6102350Z     
2025-08-14T20:56:26.6102400Z       warnings.warn(msg)
2025-08-14T20:56:26.6102440Z     
2025-08-14T20:56:26.6102540Z --- Parse Warning: 17 / 146 ---
2025-08-14T20:56:26.6103230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1851.
2025-08-14T20:56:26.6103390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6103520Z     Computes the minimum storage size to hold the given tensor geometry.
2025-08-14T20:56:26.6103690Z     
2025-08-14T20:56:26.6103740Z         Example
2025-08-14T20:56:26.6103780Z         =======
2025-08-14T20:56:26.6103820Z     
2025-08-14T20:56:26.6103960Z         This is the size of a newly allocated tensor's storage, in units of elements
2025-08-14T20:56:26.6104000Z     
2025-08-14T20:56:26.6104060Z         >>> t = torch.empty((10, 20))
2025-08-14T20:56:26.6104200Z         >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-08-14T20:56:26.6104250Z         200
2025-08-14T20:56:26.6104290Z     
2025-08-14T20:56:26.6104350Z         >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:26.6104420Z         >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-08-14T20:56:26.6104500Z         >>> size = compute_required_storage_length(
2025-08-14T20:56:26.6104580Z         ...     t2.shape, t2.stride(), t2.storage_offset()
2025-08-14T20:56:26.6104620Z         ... )
2025-08-14T20:56:26.6104680Z         >>> size == t.storage().size()
2025-08-14T20:56:26.6104720Z         True
2025-08-14T20:56:26.6104760Z     
2025-08-14T20:56:26.6104880Z         A valid tensor may have a larger storage size, but never smaller
2025-08-14T20:56:26.6104990Z     
2025-08-14T20:56:26.6105050Z         >>> slice = torch.empty(100)[20:40]
2025-08-14T20:56:26.6105110Z         >>> slice.storage().size()
2025-08-14T20:56:26.6105150Z         100
2025-08-14T20:56:26.6105190Z     
2025-08-14T20:56:26.6105260Z         >>> compute_required_storage_length(
2025-08-14T20:56:26.6105370Z         ...     slice.shape, slice.stride(), slice.storage_offset()
2025-08-14T20:56:26.6105410Z         ... )
2025-08-14T20:56:26.6105450Z         40
2025-08-14T20:56:26.6105490Z     
2025-08-14T20:56:26.6105540Z         
2025-08-14T20:56:26.6105690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6105730Z     
2025-08-14T20:56:26.6105790Z       warnings.warn(msg)
2025-08-14T20:56:26.6105830Z     
2025-08-14T20:56:26.6105930Z --- Parse Warning: 18 / 146 ---
2025-08-14T20:56:26.6106540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-08-14T20:56:26.6106730Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.6106800Z     Retrieves the CUDA runtime API module.
2025-08-14T20:56:26.6106840Z     
2025-08-14T20:56:26.6106880Z     
2025-08-14T20:56:26.6107030Z         This function initializes the CUDA runtime environment if it is not already
2025-08-14T20:56:26.6107160Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-08-14T20:56:26.6107300Z         runtime API module provides access to various CUDA runtime functions.
2025-08-14T20:56:26.6107340Z     
2025-08-14T20:56:26.6107380Z         Args:
2025-08-14T20:56:26.6107420Z             ``None``
2025-08-14T20:56:26.6107460Z     
2025-08-14T20:56:26.6107500Z         Returns:
2025-08-14T20:56:26.6107590Z             module: The CUDA runtime API module (_cudart).
2025-08-14T20:56:26.6107640Z     
2025-08-14T20:56:26.6107680Z         Raises:
2025-08-14T20:56:26.6107830Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-08-14T20:56:26.6108060Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-08-14T20:56:26.6108110Z     
2025-08-14T20:56:26.6108190Z         Example of CUDA operations with profiling:
2025-08-14T20:56:26.6108250Z             >>> import torch
2025-08-14T20:56:26.6108340Z             >>> from torch.cuda import cudart, check_error
2025-08-14T20:56:26.6108390Z             >>> import os
2025-08-14T20:56:26.6108430Z             >>>
2025-08-14T20:56:26.6108500Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-08-14T20:56:26.6108540Z             >>>
2025-08-14T20:56:26.6108680Z             >>> def perform_cuda_operations_with_streams():
2025-08-14T20:56:26.6108770Z             >>>     stream = torch.cuda.Stream()
2025-08-14T20:56:26.6108840Z             >>>     with torch.cuda.stream(stream):
2025-08-14T20:56:26.6108920Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-08-14T20:56:26.6109000Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-08-14T20:56:26.6109060Z             >>>         z = torch.mul(x, y)
2025-08-14T20:56:26.6109110Z             >>>     return z
2025-08-14T20:56:26.6109150Z             >>>
2025-08-14T20:56:26.6109220Z             >>> torch.cuda.synchronize()
2025-08-14T20:56:26.6109300Z             >>> print("====== Start nsys profiling ======")
2025-08-14T20:56:26.6109380Z             >>> check_error(cudart().cudaProfilerStart())
2025-08-14T20:56:26.6109470Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-08-14T20:56:26.6109570Z             >>>     result = perform_cuda_operations_with_streams()
2025-08-14T20:56:26.6109650Z             >>>     print("CUDA operations completed.")
2025-08-14T20:56:26.6109750Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-08-14T20:56:26.6109930Z             >>> print("====== End nsys profiling ======")
2025-08-14T20:56:26.6109970Z     
2025-08-14T20:56:26.6110090Z         To run this example and save the profiling information, execute:
2025-08-14T20:56:26.6110310Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T20:56:26.6110350Z     
2025-08-14T20:56:26.6110490Z         This command profiles the CUDA operations in the provided script and saves
2025-08-14T20:56:26.6110610Z         the profiling information to a file named `trace_name.prof`.
2025-08-14T20:56:26.6110750Z         The `--profile-from-start off` option ensures that profiling starts only
2025-08-14T20:56:26.6110840Z         after the `cudaProfilerStart` call in the script.
2025-08-14T20:56:26.6110970Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-08-14T20:56:26.6111100Z         CSV file and print a summary, respectively.
2025-08-14T20:56:26.6111250Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-08-14T20:56:26.6111340Z         overwrite of the output file if it already exists.
2025-08-14T20:56:26.6111380Z         
2025-08-14T20:56:26.6111750Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-08-14T20:56:26.6111790Z     
2025-08-14T20:56:26.6112000Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-08-14T20:56:26.6112040Z     ^
2025-08-14T20:56:26.6112100Z       warnings.warn(msg)
2025-08-14T20:56:26.6112130Z     
2025-08-14T20:56:26.6112240Z --- Parse Warning: 19 / 146 ---
2025-08-14T20:56:26.6112900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-08-14T20:56:26.6113060Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.6113210Z     Check if the current accelerator is available at runtime: it was build, all the
2025-08-14T20:56:26.6113340Z         required drivers are available and at least one device is visible.
2025-08-14T20:56:26.6113430Z         See :ref:`accelerator<accelerators>` for details.
2025-08-14T20:56:26.6113470Z     
2025-08-14T20:56:26.6113510Z         Returns:
2025-08-14T20:56:26.6113680Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-08-14T20:56:26.6113720Z     
2025-08-14T20:56:26.6113860Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-08-14T20:56:26.6114100Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-08-14T20:56:26.6114250Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-08-14T20:56:26.6114340Z             :ref:`multiprocessing-poison-fork-note`.
2025-08-14T20:56:26.6114380Z     
2025-08-14T20:56:26.6114430Z         Example::
2025-08-14T20:56:26.6114470Z     
2025-08-14T20:56:26.6114630Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:26.6114670Z         
2025-08-14T20:56:26.6114990Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-08-14T20:56:26.6115030Z     
2025-08-14T20:56:26.6115190Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:26.6115250Z                                             ^
2025-08-14T20:56:26.6115300Z       warnings.warn(msg)
2025-08-14T20:56:26.6115340Z     
2025-08-14T20:56:26.6115440Z --- Parse Warning: 20 / 146 ---
2025-08-14T20:56:26.6116160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-08-14T20:56:26.6116310Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.6116440Z     Wait for all kernels in all streams on the given device to complete.
2025-08-14T20:56:26.6116470Z     
2025-08-14T20:56:26.6116520Z         Args:
2025-08-14T20:56:26.6116710Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-08-14T20:56:26.6116840Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-08-14T20:56:26.6116970Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-08-14T20:56:26.6117070Z     
2025-08-14T20:56:26.6117260Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-08-14T20:56:26.6117300Z     
2025-08-14T20:56:26.6117350Z         Example::
2025-08-14T20:56:26.6117390Z     
2025-08-14T20:56:26.6117470Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.6117640Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:26.6117720Z             >>> start_event = torch.Event(enable_timing=True)
2025-08-14T20:56:26.6117810Z             >>> end_event = torch.Event(enable_timing=True)
2025-08-14T20:56:26.6117860Z             >>> start_event.record()
2025-08-14T20:56:26.6118010Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-08-14T20:56:26.6118070Z             >>> sum = torch.sum(tensor)
2025-08-14T20:56:26.6118130Z             >>> end_event.record()
2025-08-14T20:56:26.6118210Z             >>> torch.accelerator.synchronize()
2025-08-14T20:56:26.6118310Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-08-14T20:56:26.6118360Z         
2025-08-14T20:56:26.6118670Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-08-14T20:56:26.6118710Z     
2025-08-14T20:56:26.6118870Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-08-14T20:56:26.6118930Z                                             ^
2025-08-14T20:56:26.6118980Z       warnings.warn(msg)
2025-08-14T20:56:26.6119020Z     
2025-08-14T20:56:26.6119110Z --- Parse Warning: 21 / 146 ---
2025-08-14T20:56:26.6119810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-08-14T20:56:26.6119980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6120080Z     Return the sum of each row of the given sparse tensor.
2025-08-14T20:56:26.6120120Z     
2025-08-14T20:56:26.6120260Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-08-14T20:56:26.6120380Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-08-14T20:56:26.6120510Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-08-14T20:56:26.6120590Z         returns a dense tensor instead of a sparse tensor.
2025-08-14T20:56:26.6120640Z     
2025-08-14T20:56:26.6120790Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-08-14T20:56:26.6120910Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-08-14T20:56:26.6120950Z     
2025-08-14T20:56:26.6121080Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-08-14T20:56:26.6121350Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-08-14T20:56:26.6121390Z     
2025-08-14T20:56:26.6121430Z         Args:
2025-08-14T20:56:26.6121510Z             input (Tensor): the input sparse tensor
2025-08-14T20:56:26.6121670Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-08-14T20:56:26.6121720Z                 over all dims.
2025-08-14T20:56:26.6121880Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-08-14T20:56:26.6121950Z                 Default: dtype of :attr:`input`.
2025-08-14T20:56:26.6121990Z     
2025-08-14T20:56:26.6122030Z         Example::
2025-08-14T20:56:26.6122070Z     
2025-08-14T20:56:26.6122110Z             >>> nnz = 3
2025-08-14T20:56:26.6122170Z             >>> dims = [5, 5, 2, 3]
2025-08-14T20:56:26.6122310Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-08-14T20:56:26.6122430Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-08-14T20:56:26.6122500Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-08-14T20:56:26.6122560Z             >>> size = torch.Size(dims)
2025-08-14T20:56:26.6122650Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.6122720Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-08-14T20:56:26.6122770Z             >>> S
2025-08-14T20:56:26.6122830Z             tensor(indices=tensor([[2, 0, 3],
2025-08-14T20:56:26.6122890Z                                    [2, 4, 1]]),
2025-08-14T20:56:26.6122970Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-08-14T20:56:26.6123040Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-08-14T20:56:26.6123080Z     
2025-08-14T20:56:26.6123160Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-08-14T20:56:26.6123230Z                                    [-0.7125, -1.0646,  2.1844]],
2025-08-14T20:56:26.6123270Z     
2025-08-14T20:56:26.6123340Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-08-14T20:56:26.6123420Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-08-14T20:56:26.6123520Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-08-14T20:56:26.6123560Z     
2025-08-14T20:56:26.6123690Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-08-14T20:56:26.6123750Z             >>> torch.sparse.sum(S, [1, 3])
2025-08-14T20:56:26.6123820Z             tensor(indices=tensor([[0, 2, 3]]),
2025-08-14T20:56:26.6123890Z                    values=tensor([[-1.4512,  0.4073],
2025-08-14T20:56:26.6123960Z                                   [-0.8901,  0.2017],
2025-08-14T20:56:26.6124130Z                                   [-0.3183, -1.7539]]),
2025-08-14T20:56:26.6124220Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-08-14T20:56:26.6124260Z     
2025-08-14T20:56:26.6124360Z             # when sum over all sparse dim, return a dense tensor
2025-08-14T20:56:26.6124420Z             # with summed dims squeezed
2025-08-14T20:56:26.6124490Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-08-14T20:56:26.6124540Z             tensor([-2.6596, -1.1450])
2025-08-14T20:56:26.6124580Z         
2025-08-14T20:56:26.6124730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6124770Z     
2025-08-14T20:56:26.6124830Z       warnings.warn(msg)
2025-08-14T20:56:26.6124870Z     
2025-08-14T20:56:26.6124970Z --- Parse Warning: 22 / 146 ---
2025-08-14T20:56:26.6125630Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-08-14T20:56:26.6125910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6126020Z     Decorate function, to extend gradcheck for sparse tensors.
2025-08-14T20:56:26.6126060Z     
2025-08-14T20:56:26.6126200Z         Decorator for torch.autograd.gradcheck or its functools.partial
2025-08-14T20:56:26.6126340Z         variants that extends the gradcheck function with support to input
2025-08-14T20:56:26.6126460Z         functions that operate on or/and return sparse tensors.
2025-08-14T20:56:26.6126500Z     
2025-08-14T20:56:26.6126630Z         The specified gradcheck function itself is guaranteed to operate
2025-08-14T20:56:26.6126690Z         on strided tensors only.
2025-08-14T20:56:26.6126730Z     
2025-08-14T20:56:26.6126780Z         For example:
2025-08-14T20:56:26.6126820Z     
2025-08-14T20:56:26.6126970Z         >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-08-14T20:56:26.6127080Z         >>> x = (
2025-08-14T20:56:26.6127180Z         ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-08-14T20:56:26.6127250Z         ...     .to_sparse_coo()
2025-08-14T20:56:26.6127310Z         ...     .requires_grad_(True)
2025-08-14T20:56:26.6127360Z         ... )
2025-08-14T20:56:26.6127440Z         >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-08-14T20:56:26.6127490Z         True
2025-08-14T20:56:26.6127530Z         
2025-08-14T20:56:26.6127690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6127730Z     
2025-08-14T20:56:26.6127790Z       warnings.warn(msg)
2025-08-14T20:56:26.6127830Z     
2025-08-14T20:56:26.6127940Z --- Parse Warning: 23 / 146 ---
2025-08-14T20:56:26.6128570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-08-14T20:56:26.6128730Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6128780Z     
2025-08-14T20:56:26.6128910Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-08-14T20:56:26.6129050Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-08-14T20:56:26.6129200Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-08-14T20:56:26.6129260Z     vectorizing those operations.
2025-08-14T20:56:26.6129310Z     
2025-08-14T20:56:26.6129450Z     vmap is useful for handling batch dimensions: one can write a function
2025-08-14T20:56:26.6129580Z     ``func`` that runs on examples and then lift it to a function that can
2025-08-14T20:56:26.6129710Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-08-14T20:56:26.6129880Z     compute batched gradients when composed with autograd.
2025-08-14T20:56:26.6129930Z     
2025-08-14T20:56:26.6129980Z     .. note::
2025-08-14T20:56:26.6130100Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-08-14T20:56:26.6130190Z         convenience. Use whichever one you'd like.
2025-08-14T20:56:26.6130230Z     
2025-08-14T20:56:26.6130280Z     Args:
2025-08-14T20:56:26.6130420Z         func (function): A Python function that takes one or more arguments.
2025-08-14T20:56:26.6130490Z             Must return one or more Tensors.
2025-08-14T20:56:26.6130620Z         in_dims (int or nested structure): Specifies which dimension of the
2025-08-14T20:56:26.6130730Z             inputs should be mapped over. ``in_dims`` should have a
2025-08-14T20:56:26.6130860Z             structure like the inputs. If the ``in_dim`` for a particular
2025-08-14T20:56:26.6130980Z             input is None, then that indicates there is no map dimension.
2025-08-14T20:56:26.6131030Z             Default: 0.
2025-08-14T20:56:26.6131160Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-08-14T20:56:26.6131350Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-08-14T20:56:26.6131450Z             it should have one element per output. Default: 0.
2025-08-14T20:56:26.6131570Z         randomness (str): Specifies whether the randomness in this
2025-08-14T20:56:26.6131700Z             vmap should be the same or different across batches. If 'different',
2025-08-14T20:56:26.6131820Z             the randomness for each batch will be different. If 'same', the
2025-08-14T20:56:26.6131950Z             randomness will be the same across batches. If 'error', any calls to
2025-08-14T20:56:26.6132070Z             random functions will error. Default: 'error'. WARNING: this flag
2025-08-14T20:56:26.6132200Z             only applies to random PyTorch operations and does not apply to
2025-08-14T20:56:26.6132290Z             Python's random module or numpy randomness.
2025-08-14T20:56:26.6132430Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-08-14T20:56:26.6132600Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-08-14T20:56:26.6132760Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-08-14T20:56:26.6132930Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-08-14T20:56:26.6132970Z     
2025-08-14T20:56:26.6133020Z     Returns:
2025-08-14T20:56:26.6133140Z         Returns a new "batched" function. It takes the same inputs as
2025-08-14T20:56:26.6133270Z         ``func``, except each input has an extra dimension at the index
2025-08-14T20:56:26.6133390Z         specified by ``in_dims``. It takes returns the same outputs as
2025-08-14T20:56:26.6133500Z         ``func``, except each output has an extra dimension at the index
2025-08-14T20:56:26.6133560Z         specified by ``out_dims``.
2025-08-14T20:56:26.6133620Z     
2025-08-14T20:56:26.6133660Z     .. warning:
2025-08-14T20:56:26.6133790Z         :func:`vmap` works best with functional-style code. Please do not
2025-08-14T20:56:26.6133910Z         perform any side-effects in ``func``, with the exception of
2025-08-14T20:56:26.6134070Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-08-14T20:56:26.6134210Z         Python data structures and assigning values to variables not captured
2025-08-14T20:56:26.6134260Z         in ``func``.
2025-08-14T20:56:26.6134300Z     
2025-08-14T20:56:26.6134450Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-08-14T20:56:26.6134600Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-08-14T20:56:26.6134730Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-08-14T20:56:26.6134780Z     
2025-08-14T20:56:26.6134840Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:26.6135040Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-08-14T20:56:26.6135130Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T20:56:26.6135200Z         >>> batched_dot(x, y)
2025-08-14T20:56:26.6135240Z     
2025-08-14T20:56:26.6135390Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-08-14T20:56:26.6135450Z     model authoring experience.
2025-08-14T20:56:26.6135490Z     
2025-08-14T20:56:26.6135560Z         >>> batch_size, feature_size = 3, 5
2025-08-14T20:56:26.6135660Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T20:56:26.6135710Z         >>>
2025-08-14T20:56:26.6135760Z         >>> def model(feature_vec):
2025-08-14T20:56:26.6135840Z         >>> # Very simple linear model with activation
2025-08-14T20:56:26.6135920Z         >>>     return feature_vec.dot(weights).relu()
2025-08-14T20:56:26.6135960Z         >>>
2025-08-14T20:56:26.6136050Z         >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T20:56:26.6136130Z         >>> result = torch.vmap(model)(examples)
2025-08-14T20:56:26.6136170Z     
2025-08-14T20:56:26.6136390Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-08-14T20:56:26.6136530Z     or impossible to batch. One example is higher-order gradient computation.
2025-08-14T20:56:26.6136670Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-08-14T20:56:26.6136810Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-08-14T20:56:26.6136970Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-08-14T20:56:26.6137110Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-08-14T20:56:26.6137180Z     call to ``autograd.grad``.
2025-08-14T20:56:26.6137220Z     
2025-08-14T20:56:26.6137270Z         >>> # Setup
2025-08-14T20:56:26.6137310Z         >>> N = 5
2025-08-14T20:56:26.6137360Z         >>> f = lambda x: x**2
2025-08-14T20:56:26.6137440Z         >>> x = torch.randn(N, requires_grad=True)
2025-08-14T20:56:26.6137520Z         >>> y = f(x)
2025-08-14T20:56:26.6137580Z         >>> I_N = torch.eye(N)
2025-08-14T20:56:26.6137620Z         >>>
2025-08-14T20:56:26.6137670Z         >>> # Sequential approach
2025-08-14T20:56:26.6137800Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-08-14T20:56:26.6137870Z         >>>                  for v in I_N.unbind()]
2025-08-14T20:56:26.6137940Z         >>> jacobian = torch.stack(jacobian_rows)
2025-08-14T20:56:26.6137980Z         >>>
2025-08-14T20:56:26.6138050Z         >>> # vectorized gradient computation
2025-08-14T20:56:26.6138100Z         >>> def get_vjp(v):
2025-08-14T20:56:26.6138170Z         >>>     return torch.autograd.grad(y, x, v)
2025-08-14T20:56:26.6138240Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-08-14T20:56:26.6138280Z     
2025-08-14T20:56:26.6138440Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-08-14T20:56:26.6138490Z     
2025-08-14T20:56:26.6138540Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:26.6138600Z         >>> batched_dot = torch.vmap(
2025-08-14T20:56:26.6138660Z         ...     torch.vmap(torch.dot)
2025-08-14T20:56:26.6138730Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-08-14T20:56:26.6138810Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-08-14T20:56:26.6138890Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-08-14T20:56:26.6138930Z     
2025-08-14T20:56:26.6139070Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-08-14T20:56:26.6139160Z     the dimension that each inputs are batched along as
2025-08-14T20:56:26.6139200Z     
2025-08-14T20:56:26.6139250Z         >>> torch.dot  # [N], [N] -> []
2025-08-14T20:56:26.6139390Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-08-14T20:56:26.6143430Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-08-14T20:56:26.6143510Z         >>> batched_dot(
2025-08-14T20:56:26.6143550Z         ...     x, y
2025-08-14T20:56:26.6143670Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-08-14T20:56:26.6143710Z     
2025-08-14T20:56:26.6143870Z     If there are multiple inputs each of which is batched along different dimensions,
2025-08-14T20:56:26.6143990Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-08-14T20:56:26.6144030Z     
2025-08-14T20:56:26.6144090Z         >>> torch.dot  # [D], [D] -> []
2025-08-14T20:56:26.6144230Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-08-14T20:56:26.6144300Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T20:56:26.6144350Z         >>> batched_dot(
2025-08-14T20:56:26.6144390Z         ...     x, y
2025-08-14T20:56:26.6144510Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-08-14T20:56:26.6144550Z     
2025-08-14T20:56:26.6144700Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-08-14T20:56:26.6144850Z     matching the shape of the input:
2025-08-14T20:56:26.6144900Z     
2025-08-14T20:56:26.6144980Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-08-14T20:56:26.6145050Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-08-14T20:56:26.6145110Z         >>> input = {"x": x, "y": y}
2025-08-14T20:56:26.6145210Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-08-14T20:56:26.6145270Z         >>> batched_dot(input)
2025-08-14T20:56:26.6145310Z     
2025-08-14T20:56:26.6145470Z     By default, the output is batched along the first dimension. However, it can be batched
2025-08-14T20:56:26.6145540Z     along any dimension by using ``out_dims``
2025-08-14T20:56:26.6145580Z     
2025-08-14T20:56:26.6145630Z         >>> f = lambda x: x**2
2025-08-14T20:56:26.6145690Z         >>> x = torch.randn(2, 5)
2025-08-14T20:56:26.6145770Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-08-14T20:56:26.6145850Z         >>> batched_pow(x)  # [5, 2]
2025-08-14T20:56:26.6145890Z     
2025-08-14T20:56:26.6146060Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-08-14T20:56:26.6146110Z     accept kwargs
2025-08-14T20:56:26.6146150Z     
2025-08-14T20:56:26.6146210Z         >>> x = torch.randn([2, 5])
2025-08-14T20:56:26.6146260Z         >>> def fn(x, scale=4.):
2025-08-14T20:56:26.6146310Z         >>>   return x * scale
2025-08-14T20:56:26.6146350Z         >>>
2025-08-14T20:56:26.6146410Z         >>> batched_pow = torch.vmap(fn)
2025-08-14T20:56:26.6146500Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-08-14T20:56:26.6146640Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-08-14T20:56:26.6146680Z     
2025-08-14T20:56:26.6146730Z     .. note::
2025-08-14T20:56:26.6146870Z         vmap does not provide general autobatching or handle variable-length
2025-08-14T20:56:26.6146920Z         sequences out of the box.
2025-08-14T20:56:26.6146970Z     
2025-08-14T20:56:26.6147120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6147160Z     
2025-08-14T20:56:26.6147210Z       warnings.warn(msg)
2025-08-14T20:56:26.6147250Z     
2025-08-14T20:56:26.6147390Z --- Parse Warning: 24 / 146 ---
2025-08-14T20:56:26.6148010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-08-14T20:56:26.6148170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6148310Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-08-14T20:56:26.6148490Z         input(s) specified by ``argnums``. This operator can be nested to
2025-08-14T20:56:26.6148560Z         compute higher-order gradients.
2025-08-14T20:56:26.6148610Z     
2025-08-14T20:56:26.6148650Z         Args:
2025-08-14T20:56:26.6148780Z             func (Callable): A Python function that takes one or more arguments.
2025-08-14T20:56:26.6148940Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-08-14T20:56:26.6149090Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-08-14T20:56:26.6149150Z                 ``(output, aux)``.
2025-08-14T20:56:26.6149320Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-08-14T20:56:26.6149440Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-08-14T20:56:26.6149580Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-08-14T20:56:26.6149690Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-08-14T20:56:26.6149730Z     
2025-08-14T20:56:26.6149940Z         Returns:
2025-08-14T20:56:26.6150110Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-08-14T20:56:26.6150260Z             the function is the gradient tensor(s) with respect to the first argument.
2025-08-14T20:56:26.6150430Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-08-14T20:56:26.6150580Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-08-14T20:56:26.6150680Z             respect to each ``argnums`` value is returned.
2025-08-14T20:56:26.6150720Z     
2025-08-14T20:56:26.6150780Z         Example of using ``grad``:
2025-08-14T20:56:26.6150820Z     
2025-08-14T20:56:26.6150870Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6150940Z             >>> from torch.func import grad
2025-08-14T20:56:26.6151000Z             >>> x = torch.randn([])
2025-08-14T20:56:26.6151120Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-08-14T20:56:26.6151200Z             >>> assert torch.allclose(cos_x, x.cos())
2025-08-14T20:56:26.6151240Z             >>>
2025-08-14T20:56:26.6151300Z             >>> # Second-order gradients
2025-08-14T20:56:26.6151400Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-08-14T20:56:26.6151480Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-08-14T20:56:26.6151520Z     
2025-08-14T20:56:26.6151670Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-08-14T20:56:26.6151720Z     
2025-08-14T20:56:26.6151770Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6151850Z             >>> from torch.func import grad, vmap
2025-08-14T20:56:26.6151910Z             >>> batch_size, feature_size = 3, 5
2025-08-14T20:56:26.6151950Z             >>>
2025-08-14T20:56:26.6152020Z             >>> def model(weights, feature_vec):
2025-08-14T20:56:26.6152110Z             >>> # Very simple linear model with activation
2025-08-14T20:56:26.6152180Z             >>>     assert feature_vec.dim() == 1
2025-08-14T20:56:26.6152260Z             >>>     return feature_vec.dot(weights).relu()
2025-08-14T20:56:26.6152300Z             >>>
2025-08-14T20:56:26.6152380Z             >>> def compute_loss(weights, example, target):
2025-08-14T20:56:26.6152450Z             >>>     y = model(weights, example)
2025-08-14T20:56:26.6152540Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-08-14T20:56:26.6152580Z             >>>
2025-08-14T20:56:26.6152690Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-08-14T20:56:26.6152790Z             >>> examples = torch.randn(batch_size, feature_size)
2025-08-14T20:56:26.6152860Z             >>> targets = torch.randn(batch_size)
2025-08-14T20:56:26.6152950Z             >>> inputs = (weights, examples, targets)
2025-08-14T20:56:26.6153140Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-08-14T20:56:26.6153200Z             ...     *inputs
2025-08-14T20:56:26.6153250Z             ... )
2025-08-14T20:56:26.6153280Z     
2025-08-14T20:56:26.6153400Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-08-14T20:56:26.6153440Z     
2025-08-14T20:56:26.6153500Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6153560Z             >>> from torch.func import grad
2025-08-14T20:56:26.6153630Z             >>> def my_loss_func(y, y_pred):
2025-08-14T20:56:26.6153710Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-08-14T20:56:26.6153780Z             >>>    loss = loss_per_sample.mean()
2025-08-14T20:56:26.6153860Z             >>>    return loss, (y_pred, loss_per_sample)
2025-08-14T20:56:26.6153900Z             >>>
2025-08-14T20:56:26.6154000Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-08-14T20:56:26.6154060Z             >>> y_true = torch.rand(4)
2025-08-14T20:56:26.6154140Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-08-14T20:56:26.6154200Z             >>> out = fn(y_true, y_preds)
2025-08-14T20:56:26.6154410Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-08-14T20:56:26.6154450Z     
2025-08-14T20:56:26.6154490Z         .. note::
2025-08-14T20:56:26.6154600Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-08-14T20:56:26.6154640Z     
2025-08-14T20:56:26.6154720Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-08-14T20:56:26.6154760Z     
2025-08-14T20:56:26.6154820Z                 >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6154870Z                 >>> def f(x):
2025-08-14T20:56:26.6154930Z                 >>>     with torch.no_grad():
2025-08-14T20:56:26.6154990Z                 >>>         c = x ** 2
2025-08-14T20:56:26.6155040Z                 >>>     return x - c
2025-08-14T20:56:26.6155080Z     
2025-08-14T20:56:26.6155200Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-08-14T20:56:26.6155260Z     
2025-08-14T20:56:26.6155390Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-08-14T20:56:26.6155420Z     
2025-08-14T20:56:26.6155480Z                 >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6155540Z                 >>> with torch.no_grad():
2025-08-14T20:56:26.6155590Z                 >>>     grad(f)(x)
2025-08-14T20:56:26.6155630Z     
2025-08-14T20:56:26.6155760Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-08-14T20:56:26.6155890Z             outer one. This is because ``grad`` is a "function transform": its result
2025-08-14T20:56:26.6156040Z             should not depend on the result of a context manager outside of ``f``.
2025-08-14T20:56:26.6156080Z     
2025-08-14T20:56:26.6156120Z         
2025-08-14T20:56:26.6156280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6156320Z     
2025-08-14T20:56:26.6156380Z       warnings.warn(msg)
2025-08-14T20:56:26.6156420Z     
2025-08-14T20:56:26.6156540Z --- Parse Warning: 25 / 146 ---
2025-08-14T20:56:26.6157240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-08-14T20:56:26.6157400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6157440Z     
2025-08-14T20:56:26.6157580Z     Test if two objects are equal, and print an error message if test fails.
2025-08-14T20:56:26.6157620Z     
2025-08-14T20:56:26.6157710Z     The test is performed with ``actual == desired``.
2025-08-14T20:56:26.6157750Z     
2025-08-14T20:56:26.6157800Z     Parameters
2025-08-14T20:56:26.6157850Z     ----------
2025-08-14T20:56:26.6157950Z     test_string : str
2025-08-14T20:56:26.6158020Z         The message supplied to AssertionError.
2025-08-14T20:56:26.6158070Z     actual : object
2025-08-14T20:56:26.6158170Z         The object to test for equality against `desired`.
2025-08-14T20:56:26.6158210Z     desired : object
2025-08-14T20:56:26.6158270Z         The expected result.
2025-08-14T20:56:26.6158310Z     
2025-08-14T20:56:26.6158350Z     Examples
2025-08-14T20:56:26.6158390Z     --------
2025-08-14T20:56:26.6158460Z     >>> np.testing.print_assert_equal(
2025-08-14T20:56:26.6158530Z     ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-08-14T20:56:26.6158590Z     ... )  # doctest: +SKIP
2025-08-14T20:56:26.6158670Z     >>> np.testing.print_assert_equal(
2025-08-14T20:56:26.6158750Z     ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-08-14T20:56:26.6158810Z     ... )  # doctest: +SKIP
2025-08-14T20:56:26.6158880Z     Traceback (most recent call last):
2025-08-14T20:56:26.6158930Z     ...
2025-08-14T20:56:26.6159010Z     AssertionError: Test XYZ of func xyz failed
2025-08-14T20:56:26.6159060Z     ACTUAL:
2025-08-14T20:56:26.6159100Z     [0, 1]
2025-08-14T20:56:26.6159230Z     DESIRED:
2025-08-14T20:56:26.6159270Z     [0, 2]
2025-08-14T20:56:26.6159310Z     
2025-08-14T20:56:26.6159350Z     
2025-08-14T20:56:26.6159490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6159530Z     
2025-08-14T20:56:26.6159580Z       warnings.warn(msg)
2025-08-14T20:56:26.6159620Z     
2025-08-14T20:56:26.6159710Z --- Parse Warning: 26 / 146 ---
2025-08-14T20:56:26.6160370Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-08-14T20:56:26.6160520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6160560Z     
2025-08-14T20:56:26.6160750Z     Raises an AssertionError if two items are not equal up to desired
2025-08-14T20:56:26.6160800Z     precision.
2025-08-14T20:56:26.6160840Z     
2025-08-14T20:56:26.6160940Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:26.6161050Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:26.6161160Z               instead of this function for more consistent floating point
2025-08-14T20:56:26.6161210Z               comparisons.
2025-08-14T20:56:26.6161250Z     
2025-08-14T20:56:26.6161370Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-08-14T20:56:26.6161420Z     
2025-08-14T20:56:26.6161510Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-08-14T20:56:26.6161550Z     
2025-08-14T20:56:26.6161680Z     That is a looser test than originally documented, but agrees with what the
2025-08-14T20:56:26.6161820Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-08-14T20:56:26.6161970Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-08-14T20:56:26.6162030Z     delegates to assert_array_almost_equal
2025-08-14T20:56:26.6162070Z     
2025-08-14T20:56:26.6162110Z     Parameters
2025-08-14T20:56:26.6162160Z     ----------
2025-08-14T20:56:26.6162200Z     actual : array_like
2025-08-14T20:56:26.6162260Z         The object to check.
2025-08-14T20:56:26.6162300Z     desired : array_like
2025-08-14T20:56:26.6162350Z         The expected object.
2025-08-14T20:56:26.6162400Z     decimal : int, optional
2025-08-14T20:56:26.6162470Z         Desired precision, default is 7.
2025-08-14T20:56:26.6162520Z     err_msg : str, optional
2025-08-14T20:56:26.6162600Z         The error message to be printed in case of failure.
2025-08-14T20:56:26.6162660Z     verbose : bool, optional
2025-08-14T20:56:26.6162780Z         If True, the conflicting values are appended to the error message.
2025-08-14T20:56:26.6162890Z     
2025-08-14T20:56:26.6162940Z     Raises
2025-08-14T20:56:26.6162980Z     ------
2025-08-14T20:56:26.6163020Z     AssertionError
2025-08-14T20:56:26.6163150Z       If actual and desired are not equal up to specified precision.
2025-08-14T20:56:26.6163180Z     
2025-08-14T20:56:26.6163220Z     See Also
2025-08-14T20:56:26.6163270Z     --------
2025-08-14T20:56:26.6163410Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:26.6163500Z                      relative and/or absolute precision.
2025-08-14T20:56:26.6163620Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:26.6163660Z     
2025-08-14T20:56:26.6163710Z     Examples
2025-08-14T20:56:26.6163760Z     --------
2025-08-14T20:56:26.6163860Z     >>> from torch._numpy.testing import assert_almost_equal
2025-08-14T20:56:26.6163940Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-08-14T20:56:26.6164040Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-08-14T20:56:26.6164110Z     Traceback (most recent call last):
2025-08-14T20:56:26.6164240Z         ...
2025-08-14T20:56:26.6164280Z     AssertionError:
2025-08-14T20:56:26.6164350Z     Arrays are not almost equal to 10 decimals
2025-08-14T20:56:26.6164400Z      ACTUAL: 2.3333333333333
2025-08-14T20:56:26.6164450Z      DESIRED: 2.33333334
2025-08-14T20:56:26.6164490Z     
2025-08-14T20:56:26.6164540Z     >>> assert_almost_equal(
2025-08-14T20:56:26.6164660Z     ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-08-14T20:56:26.6164710Z     ... )
2025-08-14T20:56:26.6164760Z     Traceback (most recent call last):
2025-08-14T20:56:26.6164810Z         ...
2025-08-14T20:56:26.6164850Z     AssertionError:
2025-08-14T20:56:26.6164920Z     Arrays are not almost equal to 9 decimals
2025-08-14T20:56:26.6164960Z     <BLANKLINE>
2025-08-14T20:56:26.6165020Z     Mismatched elements: 1 / 2 (50%)
2025-08-14T20:56:26.6165100Z     Max absolute difference: 6.666699636781459e-09
2025-08-14T20:56:26.6165220Z     Max relative difference: 2.8571569790287484e-09
2025-08-14T20:56:26.6165310Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-14T20:56:26.6165390Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-08-14T20:56:26.6165430Z     
2025-08-14T20:56:26.6165470Z     
2025-08-14T20:56:26.6165620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6165660Z     
2025-08-14T20:56:26.6165710Z       warnings.warn(msg)
2025-08-14T20:56:26.6165750Z     
2025-08-14T20:56:26.6165850Z --- Parse Warning: 27 / 146 ---
2025-08-14T20:56:26.6166510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-08-14T20:56:26.6166670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6166710Z     
2025-08-14T20:56:26.6166840Z     Raises an AssertionError if two items are not equal up to significant
2025-08-14T20:56:26.6166880Z     digits.
2025-08-14T20:56:26.6166920Z     
2025-08-14T20:56:26.6167020Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:26.6167130Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:26.6167240Z               instead of this function for more consistent floating point
2025-08-14T20:56:26.6167290Z               comparisons.
2025-08-14T20:56:26.6167330Z     
2025-08-14T20:56:26.6167440Z     Given two numbers, check that they are approximately equal.
2025-08-14T20:56:26.6167580Z     Approximately equal is defined as the number of significant digits
2025-08-14T20:56:26.6167620Z     that agree.
2025-08-14T20:56:26.6167660Z     
2025-08-14T20:56:26.6167700Z     Parameters
2025-08-14T20:56:26.6167740Z     ----------
2025-08-14T20:56:26.6167880Z     actual : scalar
2025-08-14T20:56:26.6167940Z         The object to check.
2025-08-14T20:56:26.6167990Z     desired : scalar
2025-08-14T20:56:26.6168040Z         The expected object.
2025-08-14T20:56:26.6168100Z     significant : int, optional
2025-08-14T20:56:26.6168160Z         Desired precision, default is 7.
2025-08-14T20:56:26.6168220Z     err_msg : str, optional
2025-08-14T20:56:26.6168310Z         The error message to be printed in case of failure.
2025-08-14T20:56:26.6168360Z     verbose : bool, optional
2025-08-14T20:56:26.6168480Z         If True, the conflicting values are appended to the error message.
2025-08-14T20:56:26.6168520Z     
2025-08-14T20:56:26.6168560Z     Raises
2025-08-14T20:56:26.6168600Z     ------
2025-08-14T20:56:26.6168650Z     AssertionError
2025-08-14T20:56:26.6168770Z       If actual and desired are not equal up to specified precision.
2025-08-14T20:56:26.6168810Z     
2025-08-14T20:56:26.6168850Z     See Also
2025-08-14T20:56:26.6168900Z     --------
2025-08-14T20:56:26.6169040Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:26.6169220Z                      relative and/or absolute precision.
2025-08-14T20:56:26.6169350Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:26.6169390Z     
2025-08-14T20:56:26.6169430Z     Examples
2025-08-14T20:56:26.6169470Z     --------
2025-08-14T20:56:26.6169530Z     >>> np.testing.assert_approx_equal(
2025-08-14T20:56:26.6169590Z     ...     0.12345677777777e-20, 0.1234567e-20
2025-08-14T20:56:26.6169640Z     ... )  # doctest: +SKIP
2025-08-14T20:56:26.6169710Z     >>> np.testing.assert_approx_equal(
2025-08-14T20:56:26.6169760Z     ...     0.12345670e-20,
2025-08-14T20:56:26.6169820Z     ...     0.12345671e-20,  # doctest: +SKIP
2025-08-14T20:56:26.6169870Z     ...     significant=8,
2025-08-14T20:56:26.6169910Z     ... )
2025-08-14T20:56:26.6169970Z     >>> np.testing.assert_approx_equal(
2025-08-14T20:56:26.6170020Z     ...     0.12345670e-20,
2025-08-14T20:56:26.6170110Z     ...     0.12345672e-20,  # doctest: +SKIP
2025-08-14T20:56:26.6170170Z     ...     significant=8,
2025-08-14T20:56:26.6170210Z     ... )
2025-08-14T20:56:26.6170270Z     Traceback (most recent call last):
2025-08-14T20:56:26.6170310Z         ...
2025-08-14T20:56:26.6170350Z     AssertionError:
2025-08-14T20:56:26.6170430Z     Items are not equal to 8 significant digits:
2025-08-14T20:56:26.6170480Z      ACTUAL: 1.234567e-21
2025-08-14T20:56:26.6170520Z      DESIRED: 1.2345672e-21
2025-08-14T20:56:26.6170560Z     
2025-08-14T20:56:26.6170660Z     the evaluated condition that raises the exception is
2025-08-14T20:56:26.6170700Z     
2025-08-14T20:56:26.6170810Z     >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-08-14T20:56:26.6170850Z     True
2025-08-14T20:56:26.6170890Z     
2025-08-14T20:56:26.6170930Z     
2025-08-14T20:56:26.6171080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6171120Z     
2025-08-14T20:56:26.6171170Z       warnings.warn(msg)
2025-08-14T20:56:26.6171210Z     
2025-08-14T20:56:26.6171320Z --- Parse Warning: 28 / 146 ---
2025-08-14T20:56:26.6171970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-08-14T20:56:26.6172130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6172160Z     
2025-08-14T20:56:26.6172290Z     Raises an AssertionError if two array_like objects are not equal.
2025-08-14T20:56:26.6172330Z     
2025-08-14T20:56:26.6172450Z     Given two array_like objects, check that the shape is equal and all
2025-08-14T20:56:26.6172580Z     elements of these objects are equal (but see the Notes for the special
2025-08-14T20:56:26.6172780Z     handling of a scalar). An exception is raised at shape mismatch or
2025-08-14T20:56:26.6172920Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-08-14T20:56:26.6173050Z     are compared like numbers, no assertion is raised if both objects have
2025-08-14T20:56:26.6173100Z     NaNs in the same positions.
2025-08-14T20:56:26.6173140Z     
2025-08-14T20:56:26.6173280Z     The usual caution for verifying equality with floating point numbers is
2025-08-14T20:56:26.6173320Z     advised.
2025-08-14T20:56:26.6173360Z     
2025-08-14T20:56:26.6173400Z     Parameters
2025-08-14T20:56:26.6173450Z     ----------
2025-08-14T20:56:26.6173490Z     x : array_like
2025-08-14T20:56:26.6173550Z         The actual object to check.
2025-08-14T20:56:26.6173590Z     y : array_like
2025-08-14T20:56:26.6173650Z         The desired, expected object.
2025-08-14T20:56:26.6173700Z     err_msg : str, optional
2025-08-14T20:56:26.6173790Z         The error message to be printed in case of failure.
2025-08-14T20:56:26.6173850Z     verbose : bool, optional
2025-08-14T20:56:26.6173970Z         If True, the conflicting values are appended to the error message.
2025-08-14T20:56:26.6174110Z     strict : bool, optional
2025-08-14T20:56:26.6174230Z         If True, raise an AssertionError when either the shape or the data
2025-08-14T20:56:26.6174340Z         type of the array_like objects does not match. The special
2025-08-14T20:56:26.6174460Z         handling for scalars mentioned in the Notes section is disabled.
2025-08-14T20:56:26.6174510Z     
2025-08-14T20:56:26.6174540Z     Raises
2025-08-14T20:56:26.6174590Z     ------
2025-08-14T20:56:26.6174630Z     AssertionError
2025-08-14T20:56:26.6174710Z         If actual and desired objects are not equal.
2025-08-14T20:56:26.6174750Z     
2025-08-14T20:56:26.6174790Z     See Also
2025-08-14T20:56:26.6174830Z     --------
2025-08-14T20:56:26.6174970Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:26.6175050Z                      relative and/or absolute precision.
2025-08-14T20:56:26.6175220Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:26.6175260Z     
2025-08-14T20:56:26.6175300Z     Notes
2025-08-14T20:56:26.6175340Z     -----
2025-08-14T20:56:26.6175450Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-08-14T20:56:26.6175580Z     function checks that each element of the array_like object is equal to
2025-08-14T20:56:26.6175720Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-08-14T20:56:26.6175760Z     
2025-08-14T20:56:26.6175800Z     Examples
2025-08-14T20:56:26.6175840Z     --------
2025-08-14T20:56:26.6175920Z     The first assert does not raise an exception:
2025-08-14T20:56:26.6175950Z     
2025-08-14T20:56:26.6176020Z     >>> np.testing.assert_array_equal(
2025-08-14T20:56:26.6176110Z     ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-08-14T20:56:26.6176150Z     ... )
2025-08-14T20:56:26.6176190Z     
2025-08-14T20:56:26.6176330Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-08-14T20:56:26.6176390Z     functions for these cases instead:
2025-08-14T20:56:26.6176430Z     
2025-08-14T20:56:26.6176490Z     >>> np.testing.assert_allclose(
2025-08-14T20:56:26.6176610Z     ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-08-14T20:56:26.6176650Z     ... )
2025-08-14T20:56:26.6176690Z     
2025-08-14T20:56:26.6176820Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-08-14T20:56:26.6176950Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-08-14T20:56:26.6176990Z     
2025-08-14T20:56:26.6177040Z     >>> x = np.full((2, 5), fill_value=3)
2025-08-14T20:56:26.6177110Z     >>> np.testing.assert_array_equal(x, 3)
2025-08-14T20:56:26.6177150Z     
2025-08-14T20:56:26.6177280Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-08-14T20:56:26.6177380Z     array:
2025-08-14T20:56:26.6177430Z     
2025-08-14T20:56:26.6177510Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-08-14T20:56:26.6177580Z     Traceback (most recent call last):
2025-08-14T20:56:26.6177620Z         ...
2025-08-14T20:56:26.6177660Z     AssertionError:
2025-08-14T20:56:26.6177710Z     Arrays are not equal
2025-08-14T20:56:26.6177760Z     <BLANKLINE>
2025-08-14T20:56:26.6177810Z     (shapes (2, 5), () mismatch)
2025-08-14T20:56:26.6177870Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-08-14T20:56:26.6177920Z             [3, 3, 3, 3, 3]])
2025-08-14T20:56:26.6177960Z      y: torch.ndarray(3)
2025-08-14T20:56:26.6178000Z     
2025-08-14T20:56:26.6178130Z     The `strict` parameter also ensures that the array data types match:
2025-08-14T20:56:26.6178170Z     
2025-08-14T20:56:26.6178220Z     >>> x = np.array([2, 2, 2])
2025-08-14T20:56:26.6178300Z     >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-08-14T20:56:26.6178400Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-08-14T20:56:26.6178460Z     Traceback (most recent call last):
2025-08-14T20:56:26.6178660Z         ...
2025-08-14T20:56:26.6178710Z     AssertionError:
2025-08-14T20:56:26.6178760Z     Arrays are not equal
2025-08-14T20:56:26.6178800Z     <BLANKLINE>
2025-08-14T20:56:26.6178890Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-08-14T20:56:26.6178940Z      x: torch.ndarray([2, 2, 2])
2025-08-14T20:56:26.6179000Z      y: torch.ndarray([2., 2., 2.])
2025-08-14T20:56:26.6179040Z     
2025-08-14T20:56:26.6179180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6179220Z     
2025-08-14T20:56:26.6179270Z       warnings.warn(msg)
2025-08-14T20:56:26.6179310Z     
2025-08-14T20:56:26.6179410Z --- Parse Warning: 29 / 146 ---
2025-08-14T20:56:26.6180090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-08-14T20:56:26.6180310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6180350Z     
2025-08-14T20:56:26.6180480Z     Raises an AssertionError if two objects are not equal up to desired
2025-08-14T20:56:26.6180520Z     precision.
2025-08-14T20:56:26.6180560Z     
2025-08-14T20:56:26.6180670Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-08-14T20:56:26.6180780Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-08-14T20:56:26.6180890Z               instead of this function for more consistent floating point
2025-08-14T20:56:26.6180940Z               comparisons.
2025-08-14T20:56:26.6180980Z     
2025-08-14T20:56:26.6181120Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-08-14T20:56:26.6181170Z     ``desired`` satisfy.
2025-08-14T20:56:26.6181210Z     
2025-08-14T20:56:26.6181290Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-08-14T20:56:26.6181330Z     
2025-08-14T20:56:26.6181460Z     That is a looser test than originally documented, but agrees with what the
2025-08-14T20:56:26.6181600Z     actual implementation did up to rounding vagaries. An exception is raised
2025-08-14T20:56:26.6181740Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-08-14T20:56:26.6181870Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-08-14T20:56:26.6181940Z     objects have NaNs in the same positions.
2025-08-14T20:56:26.6181980Z     
2025-08-14T20:56:26.6182020Z     Parameters
2025-08-14T20:56:26.6182070Z     ----------
2025-08-14T20:56:26.6182110Z     x : array_like
2025-08-14T20:56:26.6182170Z         The actual object to check.
2025-08-14T20:56:26.6182210Z     y : array_like
2025-08-14T20:56:26.6182270Z         The desired, expected object.
2025-08-14T20:56:26.6182370Z     decimal : int, optional
2025-08-14T20:56:26.6182440Z         Desired precision, default is 6.
2025-08-14T20:56:26.6182490Z     err_msg : str, optional
2025-08-14T20:56:26.6182580Z       The error message to be printed in case of failure.
2025-08-14T20:56:26.6182640Z     verbose : bool, optional
2025-08-14T20:56:26.6182760Z         If True, the conflicting values are appended to the error message.
2025-08-14T20:56:26.6182800Z     
2025-08-14T20:56:26.6182840Z     Raises
2025-08-14T20:56:26.6182880Z     ------
2025-08-14T20:56:26.6182930Z     AssertionError
2025-08-14T20:56:26.6183040Z         If actual and desired are not equal up to specified precision.
2025-08-14T20:56:26.6183080Z     
2025-08-14T20:56:26.6183120Z     See Also
2025-08-14T20:56:26.6183170Z     --------
2025-08-14T20:56:26.6183300Z     assert_allclose: Compare two array_like objects for equality with desired
2025-08-14T20:56:26.6183380Z                      relative and/or absolute precision.
2025-08-14T20:56:26.6183510Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-08-14T20:56:26.6183550Z     
2025-08-14T20:56:26.6183660Z     Examples
2025-08-14T20:56:26.6183710Z     --------
2025-08-14T20:56:26.6183780Z     the first assert does not raise an exception
2025-08-14T20:56:26.6183820Z     
2025-08-14T20:56:26.6183970Z     >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-08-14T20:56:26.6184010Z     
2025-08-14T20:56:26.6184090Z     >>> np.testing.assert_array_almost_equal(
2025-08-14T20:56:26.6184180Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-08-14T20:56:26.6184220Z     ... )
2025-08-14T20:56:26.6184280Z     Traceback (most recent call last):
2025-08-14T20:56:26.6184320Z         ...
2025-08-14T20:56:26.6184370Z     AssertionError:
2025-08-14T20:56:26.6184440Z     Arrays are not almost equal to 5 decimals
2025-08-14T20:56:26.6184480Z     <BLANKLINE>
2025-08-14T20:56:26.6184540Z     Mismatched elements: 1 / 3 (33.3%)
2025-08-14T20:56:26.6184620Z     Max absolute difference: 5.999999999994898e-05
2025-08-14T20:56:26.6184720Z     Max relative difference: 2.5713661239633743e-05
2025-08-14T20:56:26.6184820Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-14T20:56:26.6184910Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-08-14T20:56:26.6184950Z     
2025-08-14T20:56:26.6185020Z     >>> np.testing.assert_array_almost_equal(
2025-08-14T20:56:26.6185110Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-08-14T20:56:26.6185150Z     ... )
2025-08-14T20:56:26.6185210Z     Traceback (most recent call last):
2025-08-14T20:56:26.6185250Z         ...
2025-08-14T20:56:26.6185300Z     AssertionError:
2025-08-14T20:56:26.6185360Z     Arrays are not almost equal to 5 decimals
2025-08-14T20:56:26.6185410Z     <BLANKLINE>
2025-08-14T20:56:26.6185460Z     x and y nan location mismatch:
2025-08-14T20:56:26.6185560Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-08-14T20:56:26.6185650Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-08-14T20:56:26.6185690Z     
2025-08-14T20:56:26.6185740Z     
2025-08-14T20:56:26.6185880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6185920Z     
2025-08-14T20:56:26.6185970Z       warnings.warn(msg)
2025-08-14T20:56:26.6189430Z     
2025-08-14T20:56:26.6189570Z --- Parse Warning: 30 / 146 ---
2025-08-14T20:56:26.6190270Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-08-14T20:56:26.6190430Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6190560Z     Context manager that resets warning registry for catching warnings
2025-08-14T20:56:26.6190600Z     
2025-08-14T20:56:26.6190850Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-08-14T20:56:26.6191000Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-08-14T20:56:26.6191140Z         it impossible to retrigger the warning in this module, whatever you put in
2025-08-14T20:56:26.6191290Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-08-14T20:56:26.6191380Z         as a keyword argument to its constructor and:
2025-08-14T20:56:26.6191420Z     
2025-08-14T20:56:26.6191560Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-08-14T20:56:26.6191610Z           on entry;
2025-08-14T20:56:26.6191730Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-08-14T20:56:26.6191770Z     
2025-08-14T20:56:26.6191910Z         This makes it possible to trigger any warning afresh inside the context
2025-08-14T20:56:26.6192020Z         manager without disturbing the state of warnings outside.
2025-08-14T20:56:26.6192070Z     
2025-08-14T20:56:26.6192210Z         For compatibility with Python 3.0, please consider all arguments to be
2025-08-14T20:56:26.6192330Z         keyword-only.
2025-08-14T20:56:26.6192370Z     
2025-08-14T20:56:26.6192420Z         Parameters
2025-08-14T20:56:26.6192460Z         ----------
2025-08-14T20:56:26.6192520Z         record : bool, optional
2025-08-14T20:56:26.6192630Z             Specifies whether warnings should be captured by a custom
2025-08-14T20:56:26.6192770Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-08-14T20:56:26.6192890Z             returned by the context manager. Otherwise None is returned by the
2025-08-14T20:56:26.6193020Z             context manager. The objects appended to the list are arguments whose
2025-08-14T20:56:26.6193130Z             attributes mirror the arguments to ``showwarning()``.
2025-08-14T20:56:26.6193190Z         modules : sequence, optional
2025-08-14T20:56:26.6193320Z             Sequence of modules for which to reset warnings registry on entry and
2025-08-14T20:56:26.6193460Z             restore on exit. To work correctly, all 'ignore' filters should
2025-08-14T20:56:26.6193530Z             filter by one of these modules.
2025-08-14T20:56:26.6193570Z     
2025-08-14T20:56:26.6193610Z         Examples
2025-08-14T20:56:26.6193650Z         --------
2025-08-14T20:56:26.6193700Z         >>> import warnings
2025-08-14T20:56:26.6193820Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-08-14T20:56:26.6193880Z         ...     modules=[np.core.fromnumeric]
2025-08-14T20:56:26.6193920Z         ... ):
2025-08-14T20:56:26.6193990Z         ...     warnings.simplefilter("always")
2025-08-14T20:56:26.6194130Z         ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-08-14T20:56:26.6194240Z         ...     # do something that raises a warning but ignore those in
2025-08-14T20:56:26.6194300Z         ...     # np.core.fromnumeric
2025-08-14T20:56:26.6194340Z         
2025-08-14T20:56:26.6194490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6194530Z     
2025-08-14T20:56:26.6194580Z       warnings.warn(msg)
2025-08-14T20:56:26.6194620Z     
2025-08-14T20:56:26.6194720Z --- Parse Warning: 31 / 146 ---
2025-08-14T20:56:26.6195350Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-08-14T20:56:26.6195500Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6195640Z     Return the recommended gain value for the given nonlinearity function.
2025-08-14T20:56:26.6195680Z     
2025-08-14T20:56:26.6195740Z         The values are as follows:
2025-08-14T20:56:26.6195820Z     
2025-08-14T20:56:26.6195890Z         ================= ====================================================
2025-08-14T20:56:26.6195950Z         nonlinearity      gain
2025-08-14T20:56:26.6196030Z         ================= ====================================================
2025-08-14T20:56:26.6196090Z         Linear / Identity :math:`1`
2025-08-14T20:56:26.6196140Z         Conv{1,2,3}D      :math:`1`
2025-08-14T20:56:26.6196190Z         Sigmoid           :math:`1`
2025-08-14T20:56:26.6196250Z         Tanh              :math:`\frac{5}{3}`
2025-08-14T20:56:26.6196310Z         ReLU              :math:`\sqrt{2}`
2025-08-14T20:56:26.6196430Z         Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-08-14T20:56:26.6196490Z         SELU              :math:`\frac{3}{4}`
2025-08-14T20:56:26.6196560Z         ================= ====================================================
2025-08-14T20:56:26.6196600Z     
2025-08-14T20:56:26.6196650Z         .. warning::
2025-08-14T20:56:26.6196770Z             In order to implement `Self-Normalizing Neural Networks`_ ,
2025-08-14T20:56:26.6196920Z             you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-08-14T20:56:26.6197070Z             This gives the initial weights a variance of ``1 / N``,
2025-08-14T20:56:26.6197210Z             which is necessary to induce a stable fixed point in the forward pass.
2025-08-14T20:56:26.6197340Z             In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-08-14T20:56:26.6197460Z             effect for more stable gradient flow in rectangular layers.
2025-08-14T20:56:26.6197500Z     
2025-08-14T20:56:26.6197540Z         Args:
2025-08-14T20:56:26.6197660Z             nonlinearity: the non-linear function (`nn.functional` name)
2025-08-14T20:56:26.6197760Z             param: optional parameter for the non-linear function
2025-08-14T20:56:26.6197800Z     
2025-08-14T20:56:26.6197850Z         Examples:
2025-08-14T20:56:26.6197920Z             >>> gain = nn.init.calculate_gain(
2025-08-14T20:56:26.6198000Z             ...     "leaky_relu", 0.2
2025-08-14T20:56:26.6198080Z             ... )  # leaky_relu with negative_slope=0.2
2025-08-14T20:56:26.6198120Z     
2025-08-14T20:56:26.6198400Z         .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-08-14T20:56:26.6198440Z         
2025-08-14T20:56:26.6198600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6198630Z     
2025-08-14T20:56:26.6198690Z       warnings.warn(msg)
2025-08-14T20:56:26.6198730Z     
2025-08-14T20:56:26.6198830Z --- Parse Warning: 32 / 146 ---
2025-08-14T20:56:26.6199540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-08-14T20:56:26.6199700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6199740Z     
2025-08-14T20:56:26.6199880Z     Context manager for training with uneven inputs across processes in DDP.
2025-08-14T20:56:26.6199910Z     
2025-08-14T20:56:26.6200050Z     This context manager will keep track of already-joined DDP processes,
2025-08-14T20:56:26.6200170Z     and "shadow" the forward and backward passes by inserting collective
2025-08-14T20:56:26.6200300Z     communication operations to match with the ones created by non-joined
2025-08-14T20:56:26.6200440Z     DDP processes. This will ensure each collective call has a corresponding
2025-08-14T20:56:26.6200570Z     call by already-joined DDP processes, preventing hangs or errors that
2025-08-14T20:56:26.6200690Z     would otherwise happen when training with uneven inputs across
2025-08-14T20:56:26.6200910Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-08-14T20:56:26.6201040Z     specified to be ``True``, all trainers will throw an error once one rank
2025-08-14T20:56:26.6201160Z     runs out of inputs, allowing these errors to be caught and handled
2025-08-14T20:56:26.6201220Z     according to application logic.
2025-08-14T20:56:26.6201260Z     
2025-08-14T20:56:26.6201390Z     Once all DDP processes have joined, the context manager will broadcast
2025-08-14T20:56:26.6201520Z     the model corresponding to the last joined process to all processes to
2025-08-14T20:56:26.6201610Z     ensure the model is the same across all processes
2025-08-14T20:56:26.6201670Z     (which is guaranteed by DDP).
2025-08-14T20:56:26.6201710Z     
2025-08-14T20:56:26.6201830Z     To use this to enable training with uneven inputs across processes,
2025-08-14T20:56:26.6201960Z     simply wrap this context manager around your training loop. No further
2025-08-14T20:56:26.6202060Z     modifications to the model or data loading is required.
2025-08-14T20:56:26.6202100Z     
2025-08-14T20:56:26.6202150Z     .. warning::
2025-08-14T20:56:26.6202270Z         If the model or training loop this context manager is wrapped around
2025-08-14T20:56:26.6202490Z         has additional distributed collective operations, such as
2025-08-14T20:56:26.6202610Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-08-14T20:56:26.6202730Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-08-14T20:56:26.6202850Z         context manager is not aware of non-DDP collective communication.
2025-08-14T20:56:26.6202950Z         This flag will cause all ranks to throw when any one rank
2025-08-14T20:56:26.6203080Z         exhausts inputs, allowing these errors to be caught and recovered
2025-08-14T20:56:26.6203130Z         from across all ranks.
2025-08-14T20:56:26.6203170Z     
2025-08-14T20:56:26.6203210Z     Args:
2025-08-14T20:56:26.6203320Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-08-14T20:56:26.6203450Z             gradients by the initial ``world_size`` DDP training was launched
2025-08-14T20:56:26.6203610Z             with. If ``False``, will compute the effective world size
2025-08-14T20:56:26.6203730Z             (number of ranks that have not depleted their inputs yet) and
2025-08-14T20:56:26.6203810Z             divide gradients by that during allreduce. Set
2025-08-14T20:56:26.6203920Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-08-14T20:56:26.6204050Z             sample including the uneven inputs have equal weight in terms of
2025-08-14T20:56:26.6204150Z             how much they contribute to the global gradient. This is
2025-08-14T20:56:26.6204260Z             achieved by always dividing the gradient by the initial
2025-08-14T20:56:26.6204370Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-08-14T20:56:26.6204470Z             this to ``False``, we divide the gradient by the remaining
2025-08-14T20:56:26.6204590Z             number of nodes. This ensures parity with training on a smaller
2025-08-14T20:56:26.6204710Z             ``world_size`` although it also means the uneven inputs would
2025-08-14T20:56:26.6204820Z             contribute more towards the global gradient. Typically, you
2025-08-14T20:56:26.6204930Z             would want to set this to ``True`` for cases where the last few
2025-08-14T20:56:26.6205050Z             inputs of your training job are uneven. In extreme cases, where
2025-08-14T20:56:26.6205160Z             there is a large discrepancy in the number of inputs, setting
2025-08-14T20:56:26.6205240Z             this to ``False`` might provide better results.
2025-08-14T20:56:26.6205370Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-08-14T20:56:26.6205480Z             in ``enable=False`` to disable in cases where you know that
2025-08-14T20:56:26.6205590Z             inputs are even across participating processes. Default is
2025-08-14T20:56:26.6205630Z             ``True``.
2025-08-14T20:56:26.6205810Z         throw_on_early_termination (bool): Whether to throw an error
2025-08-14T20:56:26.6205920Z             or continue training when at least one rank has exhausted
2025-08-14T20:56:26.6206030Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-08-14T20:56:26.6206130Z             of data. If ``False``, will continue training with a smaller
2025-08-14T20:56:26.6206250Z             effective world size until all ranks are joined. Note that if
2025-08-14T20:56:26.6206320Z             this flag is specified, then the flag
2025-08-14T20:56:26.6206430Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-08-14T20:56:26.6206470Z             is ``False``.
2025-08-14T20:56:26.6206520Z     
2025-08-14T20:56:26.6206550Z     
2025-08-14T20:56:26.6206600Z     Example::
2025-08-14T20:56:26.6206640Z     
2025-08-14T20:56:26.6206700Z         >>> # xdoctest: +SKIP("Distributed")
2025-08-14T20:56:26.6206750Z         >>> import torch
2025-08-14T20:56:26.6206820Z         >>> import torch.distributed as dist
2025-08-14T20:56:26.6206870Z         >>> import os
2025-08-14T20:56:26.6207060Z         >>> import torch.multiprocessing as mp
2025-08-14T20:56:26.6207120Z         >>> import torch.nn as nn
2025-08-14T20:56:26.6207170Z         >>> # On each spawned worker
2025-08-14T20:56:26.6207230Z         >>> def worker(rank):
2025-08-14T20:56:26.6207340Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-08-14T20:56:26.6207400Z         >>>     torch.cuda.set_device(rank)
2025-08-14T20:56:26.6207490Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-08-14T20:56:26.6207600Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-08-14T20:56:26.6207680Z         >>>         model, device_ids=[rank], output_device=rank
2025-08-14T20:56:26.6207730Z         >>>     )
2025-08-14T20:56:26.6207810Z         >>>     # Rank 1 gets one more input than rank 0.
2025-08-14T20:56:26.6207920Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-08-14T20:56:26.6208030Z         >>>     with model.join():
2025-08-14T20:56:26.6208090Z         >>>         for _ in range(5):
2025-08-14T20:56:26.6208150Z         >>>             for inp in inputs:
2025-08-14T20:56:26.6208220Z         >>>                 loss = model(inp).sum()
2025-08-14T20:56:26.6208280Z         >>>                 loss.backward()
2025-08-14T20:56:26.6208390Z         >>>     # Without the join() API, the below synchronization will hang
2025-08-14T20:56:26.6208480Z         >>>     # blocking for rank 1's allreduce to complete.
2025-08-14T20:56:26.6208550Z         >>>     torch.cuda.synchronize(device=rank)
2025-08-14T20:56:26.6208590Z     
2025-08-14T20:56:26.6208740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6208780Z     
2025-08-14T20:56:26.6208830Z       warnings.warn(msg)
2025-08-14T20:56:26.6208860Z     
2025-08-14T20:56:26.6208970Z --- Parse Warning: 33 / 146 ---
2025-08-14T20:56:26.6209720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-08-14T20:56:26.6209870Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6209910Z     
2025-08-14T20:56:26.6210100Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-08-14T20:56:26.6210130Z     
2025-08-14T20:56:26.6210260Z     Registers an optimizer with DDP such that the optimization for a
2025-08-14T20:56:26.6210380Z     parameter will run immediately when that parameter's gradient is
2025-08-14T20:56:26.6210500Z     finished with reduction, instead of waiting for all parameters'
2025-08-14T20:56:26.6210720Z     gradients to finish reduction. This can result in a training speedup
2025-08-14T20:56:26.6210860Z     depending on your workload since the optimizer can run while gradient
2025-08-14T20:56:26.6211000Z     reduction for other parameters are still ongoing. In addition, this has
2025-08-14T20:56:26.6211130Z     the potential to reduce peak memory consumption during training, as it
2025-08-14T20:56:26.6211250Z     only needs to load the per-parameter optimizer states of a single
2025-08-14T20:56:26.6211380Z     parameter at a time, instead of loading all per-parameter optimizer
2025-08-14T20:56:26.6211420Z     states at once.
2025-08-14T20:56:26.6211460Z     
2025-08-14T20:56:26.6211510Z     Args:
2025-08-14T20:56:26.6211620Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-08-14T20:56:26.6211680Z         as a fused optimizer.
2025-08-14T20:56:26.6211780Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-08-14T20:56:26.6211920Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-08-14T20:56:26.6212050Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-08-14T20:56:26.6212280Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-08-14T20:56:26.6212320Z         optimized.
2025-08-14T20:56:26.6212450Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-08-14T20:56:26.6212480Z     
2025-08-14T20:56:26.6212530Z     .. warning ::
2025-08-14T20:56:26.6212650Z         _register_fused_optim should only be called once on a DDP instance,
2025-08-14T20:56:26.6212780Z         and registering multiple fused optimizers for the same DDP model
2025-08-14T20:56:26.6212850Z         is not currently supported. Please ping
2025-08-14T20:56:26.6212990Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:26.6213040Z         for your use case.
2025-08-14T20:56:26.6213080Z     
2025-08-14T20:56:26.6213130Z     .. warning ::
2025-08-14T20:56:26.6213250Z         _register_fused_optim and register_comm_hook currently do not
2025-08-14T20:56:26.6213420Z         compose together, meaning that custom DDP communication hooks are
2025-08-14T20:56:26.6213520Z         not supported with overlapped optimizers. Please ping
2025-08-14T20:56:26.6213660Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:26.6213710Z         for your use case.
2025-08-14T20:56:26.6213750Z     
2025-08-14T20:56:26.6213790Z     .. warning ::
2025-08-14T20:56:26.6213920Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-08-14T20:56:26.6214000Z         with overlapped optimizer. Please ping
2025-08-14T20:56:26.6214130Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-08-14T20:56:26.6214180Z         for your use case.
2025-08-14T20:56:26.6214220Z     
2025-08-14T20:56:26.6214260Z     Example::
2025-08-14T20:56:26.6214300Z     
2025-08-14T20:56:26.6214380Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-08-14T20:56:26.6214560Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-08-14T20:56:26.6214690Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-08-14T20:56:26.6214730Z         >>> lr = 1e-2
2025-08-14T20:56:26.6214780Z         >>> betas = (0.9, 0.99)
2025-08-14T20:56:26.6214830Z         >>> eps = 1e-6
2025-08-14T20:56:26.6214970Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-08-14T20:56:26.6215030Z         >>> # Example with subset of parameters
2025-08-14T20:56:26.6215120Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-08-14T20:56:26.6215170Z         >>> net._register_fused_optim(
2025-08-14T20:56:26.6215320Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-08-14T20:56:26.6215360Z         ... )
2025-08-14T20:56:26.6215400Z     
2025-08-14T20:56:26.6215610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6215650Z     
2025-08-14T20:56:26.6215700Z       warnings.warn(msg)
2025-08-14T20:56:26.6215740Z     
2025-08-14T20:56:26.6215850Z --- Parse Warning: 34 / 146 ---
2025-08-14T20:56:26.6216520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-08-14T20:56:26.6216670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6216760Z     Register a parametrization to a tensor in a module.
2025-08-14T20:56:26.6216800Z     
2025-08-14T20:56:26.6216960Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-08-14T20:56:26.6217130Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-08-14T20:56:26.6217290Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-08-14T20:56:26.6217560Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-08-14T20:56:26.6217600Z     
2025-08-14T20:56:26.6217780Z         The first time that a module registers a parametrization, this function will add an attribute
2025-08-14T20:56:26.6217920Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-08-14T20:56:26.6217960Z     
2025-08-14T20:56:26.6218110Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-08-14T20:56:26.6218190Z         ``module.parametrizations.weight``.
2025-08-14T20:56:26.6218220Z     
2025-08-14T20:56:26.6218300Z         The original tensor will be accessible under
2025-08-14T20:56:26.6218390Z         ``module.parametrizations.weight.original``.
2025-08-14T20:56:26.6218430Z     
2025-08-14T20:56:26.6218590Z         Parametrizations may be concatenated by registering several parametrizations
2025-08-14T20:56:26.6218680Z         on the same attribute.
2025-08-14T20:56:26.6218720Z     
2025-08-14T20:56:26.6218860Z         The training mode of a registered parametrization is updated on registration
2025-08-14T20:56:26.6218940Z         to match the training mode of the host module
2025-08-14T20:56:26.6218980Z     
2025-08-14T20:56:26.6219160Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-08-14T20:56:26.6219230Z         using the context manager :func:`cached`.
2025-08-14T20:56:26.6219270Z     
2025-08-14T20:56:26.6219410Z         A :attr:`parametrization` may optionally implement a method with signature
2025-08-14T20:56:26.6219450Z     
2025-08-14T20:56:26.6219500Z         .. code-block:: python
2025-08-14T20:56:26.6219540Z     
2025-08-14T20:56:26.6219670Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-08-14T20:56:26.6219710Z     
2025-08-14T20:56:26.6219870Z         This method is called on the unparametrized tensor when the first parametrization
2025-08-14T20:56:26.6219990Z         is registered to compute the initial value of the original tensor.
2025-08-14T20:56:26.6220170Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-08-14T20:56:26.6220210Z     
2025-08-14T20:56:26.6220390Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-08-14T20:56:26.6220560Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-08-14T20:56:26.6220600Z     
2025-08-14T20:56:26.6220740Z         It is possible for the first parametrization to depend on several inputs.
2025-08-14T20:56:26.6220880Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-08-14T20:56:26.6221010Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-08-14T20:56:26.6221130Z     
2025-08-14T20:56:26.6221330Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-08-14T20:56:26.6221410Z         with names ``original0``, ``original1``,...
2025-08-14T20:56:26.6221450Z     
2025-08-14T20:56:26.6221490Z         .. note::
2025-08-14T20:56:26.6221530Z     
2025-08-14T20:56:26.6221700Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-08-14T20:56:26.6221790Z             once to perform a number of consistency checks.
2025-08-14T20:56:26.6221960Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-08-14T20:56:26.6222040Z             and nothing will be called otherwise.
2025-08-14T20:56:26.6222070Z     
2025-08-14T20:56:26.6222120Z         .. note::
2025-08-14T20:56:26.6222150Z     
2025-08-14T20:56:26.6222280Z             In most situations, ``right_inverse`` will be a function such that
2025-08-14T20:56:26.6222350Z             ``forward(right_inverse(X)) == X`` (see
2025-08-14T20:56:26.6222510Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-08-14T20:56:26.6222760Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-08-14T20:56:26.6222810Z             to relax this.
2025-08-14T20:56:26.6222850Z     
2025-08-14T20:56:26.6222890Z         .. warning::
2025-08-14T20:56:26.6222930Z     
2025-08-14T20:56:26.6223090Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-08-14T20:56:26.6223240Z             will register a number of new parameters. If such parametrization is registered
2025-08-14T20:56:26.6223400Z             after the optimizer is created, these new parameters will need to be added manually
2025-08-14T20:56:26.6223520Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-08-14T20:56:26.6223560Z     
2025-08-14T20:56:26.6223600Z         Args:
2025-08-14T20:56:26.6223720Z             module (nn.Module): module on which to register the parametrization
2025-08-14T20:56:26.6223910Z             tensor_name (str): name of the parameter or buffer on which to register
2025-08-14T20:56:26.6223970Z                 the parametrization
2025-08-14T20:56:26.6224090Z             parametrization (nn.Module): the parametrization to register
2025-08-14T20:56:26.6224130Z         Keyword args:
2025-08-14T20:56:26.6224270Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-08-14T20:56:26.6224380Z                 may change the dtype and shape of the tensor. Default: `False`
2025-08-14T20:56:26.6224540Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-08-14T20:56:26.6224610Z                 Enable this flag at your own risk.
2025-08-14T20:56:26.6224640Z     
2025-08-14T20:56:26.6224690Z         Raises:
2025-08-14T20:56:26.6224860Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-08-14T20:56:26.6224900Z     
2025-08-14T20:56:26.6224940Z         Examples:
2025-08-14T20:56:26.6225030Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T20:56:26.6225080Z             >>> import torch
2025-08-14T20:56:26.6225140Z             >>> import torch.nn as nn
2025-08-14T20:56:26.6225220Z             >>> import torch.nn.utils.parametrize as P
2025-08-14T20:56:26.6225260Z             >>>
2025-08-14T20:56:26.6225320Z             >>> class Symmetric(nn.Module):
2025-08-14T20:56:26.6225380Z             >>>     def forward(self, X):
2025-08-14T20:56:26.6225490Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-08-14T20:56:26.6225530Z             >>>
2025-08-14T20:56:26.6225590Z             >>>     def right_inverse(self, A):
2025-08-14T20:56:26.6225650Z             >>>         return A.triu()
2025-08-14T20:56:26.6225690Z             >>>
2025-08-14T20:56:26.6225740Z             >>> m = nn.Linear(5, 5)
2025-08-14T20:56:26.6225910Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-08-14T20:56:26.6226050Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-08-14T20:56:26.6226100Z             True
2025-08-14T20:56:26.6226150Z             >>> A = torch.rand(5, 5)
2025-08-14T20:56:26.6226210Z             >>> A = A + A.T  # A is now symmetric
2025-08-14T20:56:26.6226330Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-08-14T20:56:26.6226400Z             >>> print(torch.allclose(m.weight, A))
2025-08-14T20:56:26.6226440Z             True
2025-08-14T20:56:26.6226480Z     
2025-08-14T20:56:26.6226540Z             >>> class RankOne(nn.Module):
2025-08-14T20:56:26.6226600Z             >>>     def forward(self, x, y):
2025-08-14T20:56:26.6226690Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-08-14T20:56:26.6226770Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-08-14T20:56:26.6226810Z             >>>
2025-08-14T20:56:26.6226880Z             >>>     def right_inverse(self, Z):
2025-08-14T20:56:26.6227070Z             >>> # Project Z onto the rank 1 matrices
2025-08-14T20:56:26.6227170Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-08-14T20:56:26.6227240Z             >>> # Return rescaled singular vectors
2025-08-14T20:56:26.6227310Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-08-14T20:56:26.6227400Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-08-14T20:56:26.6227440Z             >>>
2025-08-14T20:56:26.6227530Z             >>> linear_rank_one = P.register_parametrization(
2025-08-14T20:56:26.6227600Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-08-14T20:56:26.6227640Z             ... )
2025-08-14T20:56:26.6227770Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-08-14T20:56:26.6227810Z             1
2025-08-14T20:56:26.6227850Z     
2025-08-14T20:56:26.6227940Z         
2025-08-14T20:56:26.6228100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6228140Z     
2025-08-14T20:56:26.6228200Z       warnings.warn(msg)
2025-08-14T20:56:26.6228240Z     
2025-08-14T20:56:26.6228340Z --- Parse Warning: 35 / 146 ---
2025-08-14T20:56:26.6229050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-08-14T20:56:26.6229200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6229330Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-08-14T20:56:26.6229370Z     
2025-08-14T20:56:26.6229540Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-14T20:56:26.6229700Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-14T20:56:26.6229860Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-14T20:56:26.6230040Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-14T20:56:26.6230080Z     
2025-08-14T20:56:26.6230120Z         .. note::
2025-08-14T20:56:26.6230270Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-08-14T20:56:26.6230400Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-08-14T20:56:26.6230520Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-08-14T20:56:26.6230660Z             necessarily benefit from conversion to specified ``memory_format``.
2025-08-14T20:56:26.6230870Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-08-14T20:56:26.6231000Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-08-14T20:56:26.6231130Z             even in cases where we have to apply permutation to input tensors.
2025-08-14T20:56:26.6231170Z     
2025-08-14T20:56:26.6231300Z             Hence our strategy here is to convert only the weight of convolution to
2025-08-14T20:56:26.6231370Z             channels_last. This ensures that;
2025-08-14T20:56:26.6231500Z             1. Fast convolution kernels will be used, the benefit of which could
2025-08-14T20:56:26.6231640Z             outweigh overhead of permutation (if input is not in the same format).
2025-08-14T20:56:26.6231780Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-08-14T20:56:26.6231840Z             from memory_format conversion.
2025-08-14T20:56:26.6231880Z     
2025-08-14T20:56:26.6232020Z             The optimal case is that, layers between convolution layers are channels
2025-08-14T20:56:26.6232160Z             last compatible. Input tensor would be permuted to channels last when it
2025-08-14T20:56:26.6232390Z             encounters the first convolution layer and stay in that memory format.
2025-08-14T20:56:26.6232530Z             Hence following convolutions will not need to permute its input tensor.
2025-08-14T20:56:26.6232570Z     
2025-08-14T20:56:26.6232710Z             In case where a channels last incompatible layer is between convolution
2025-08-14T20:56:26.6232830Z             layers, we need to permute the input tensor back to contiguous format
2025-08-14T20:56:26.6232960Z             for that layer. The input tensor will go through the remaining layers in
2025-08-14T20:56:26.6233100Z             contiguous format and be permuted to channels last when it encounters
2025-08-14T20:56:26.6233220Z             another convolution layer. There's no point in propagating that
2025-08-14T20:56:26.6233360Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-08-14T20:56:26.6233460Z             ``memory_format``.
2025-08-14T20:56:26.6233500Z     
2025-08-14T20:56:26.6233640Z             This claim might change when PyTorch supports fusion of permutation, as
2025-08-14T20:56:26.6233780Z             there might have been a better spot to fuse the permutation other than
2025-08-14T20:56:26.6233840Z             immediately before a convolution.
2025-08-14T20:56:26.6233890Z     
2025-08-14T20:56:26.6233930Z         Args:
2025-08-14T20:56:26.6234060Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-08-14T20:56:26.6234120Z                                 ``nn.Module``
2025-08-14T20:56:26.6234210Z             memory_format: user specified ``memory_format``,
2025-08-14T20:56:26.6234320Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-14T20:56:26.6234360Z     
2025-08-14T20:56:26.6234400Z         Returns:
2025-08-14T20:56:26.6234480Z             The original module with updated ``nn.Conv2d``
2025-08-14T20:56:26.6234530Z     
2025-08-14T20:56:26.6234570Z         Example:
2025-08-14T20:56:26.6234660Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.6234760Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-14T20:56:26.6234820Z             >>> input = torch.randint(
2025-08-14T20:56:26.6234910Z             ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-08-14T20:56:26.6234960Z             ... )
2025-08-14T20:56:26.6235010Z             >>> model = nn.Sequential(
2025-08-14T20:56:26.6235080Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-08-14T20:56:26.6235140Z             >>> # This is identical to:
2025-08-14T20:56:26.6235280Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-08-14T20:56:26.6235390Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-08-14T20:56:26.6235450Z             ...     model, torch.channels_last
2025-08-14T20:56:26.6235560Z             ... )
2025-08-14T20:56:26.6235610Z             >>> out = model(input)
2025-08-14T20:56:26.6235660Z         
2025-08-14T20:56:26.6235810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6235850Z     
2025-08-14T20:56:26.6235900Z       warnings.warn(msg)
2025-08-14T20:56:26.6235940Z     
2025-08-14T20:56:26.6236040Z --- Parse Warning: 36 / 146 ---
2025-08-14T20:56:26.6236750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-08-14T20:56:26.6236900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6237030Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-08-14T20:56:26.6237190Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-08-14T20:56:26.6237450Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-08-14T20:56:26.6237600Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-08-14T20:56:26.6237780Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-08-14T20:56:26.6237820Z     
2025-08-14T20:56:26.6237860Z         .. note::
2025-08-14T20:56:26.6238010Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-08-14T20:56:26.6238140Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-08-14T20:56:26.6238270Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-08-14T20:56:26.6238400Z             necessarily benefit from conversion to specified ``memory_format``.
2025-08-14T20:56:26.6238540Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-08-14T20:56:26.6238720Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-08-14T20:56:26.6238840Z             even in cases where we have to apply permutation to input tensors.
2025-08-14T20:56:26.6238880Z     
2025-08-14T20:56:26.6239020Z             Hence our strategy here is to convert only the weight of convolution to
2025-08-14T20:56:26.6239090Z             channels_last_3d. This ensures that;
2025-08-14T20:56:26.6239220Z             1. Fast convolution kernels will be used, the benefit of which could
2025-08-14T20:56:26.6239360Z             outweigh overhead of permutation (if input is not in the same format).
2025-08-14T20:56:26.6239500Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-08-14T20:56:26.6239560Z             from memory_format conversion.
2025-08-14T20:56:26.6239600Z     
2025-08-14T20:56:26.6239740Z             The optimal case is that, layers between convolution layers are channels
2025-08-14T20:56:26.6239880Z             last compatible. Input tensor would be permuted to channels last when it
2025-08-14T20:56:26.6240020Z             encounters the first convolution layer and stay in that memory format.
2025-08-14T20:56:26.6240160Z             Hence following convolutions will not need to permute its input tensor.
2025-08-14T20:56:26.6240200Z     
2025-08-14T20:56:26.6240330Z             In case where a channels last incompatible layer is between convolution
2025-08-14T20:56:26.6240460Z             layers, we need to permute the input tensor back to contiguous format
2025-08-14T20:56:26.6240590Z             for that layer. The input tensor will go through the remaining layers in
2025-08-14T20:56:26.6240720Z             contiguous format and be permuted to channels last when it encounters
2025-08-14T20:56:26.6240840Z             another convolution layer. There's no point in propagating that
2025-08-14T20:56:26.6241050Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-08-14T20:56:26.6241110Z             ``memory_format``.
2025-08-14T20:56:26.6241160Z     
2025-08-14T20:56:26.6241290Z             This claim might change when PyTorch supports fusion of permutation, as
2025-08-14T20:56:26.6241420Z             there might have been a better spot to fuse the permutation other than
2025-08-14T20:56:26.6241490Z             immediately before a convolution.
2025-08-14T20:56:26.6241530Z     
2025-08-14T20:56:26.6241570Z         Args:
2025-08-14T20:56:26.6241700Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-08-14T20:56:26.6241760Z                                 ``nn.Module``
2025-08-14T20:56:26.6241850Z             memory_format: user specified ``memory_format``,
2025-08-14T20:56:26.6241960Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-08-14T20:56:26.6242000Z     
2025-08-14T20:56:26.6242050Z         Returns:
2025-08-14T20:56:26.6242130Z             The original module with updated ``nn.Conv3d``
2025-08-14T20:56:26.6242240Z     
2025-08-14T20:56:26.6242290Z         Example:
2025-08-14T20:56:26.6242370Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.6242460Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-08-14T20:56:26.6242530Z             >>> input = torch.randint(
2025-08-14T20:56:26.6242620Z             ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-08-14T20:56:26.6242660Z             ... )
2025-08-14T20:56:26.6242720Z             >>> model = nn.Sequential(
2025-08-14T20:56:26.6242790Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-08-14T20:56:26.6242850Z             >>> # This is identical to:
2025-08-14T20:56:26.6243000Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-08-14T20:56:26.6246700Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-08-14T20:56:26.6246850Z             ...     model, torch.channels_last_3d
2025-08-14T20:56:26.6246900Z             ... )
2025-08-14T20:56:26.6246950Z             >>> out = model(input)
2025-08-14T20:56:26.6247000Z         
2025-08-14T20:56:26.6247150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6247190Z     
2025-08-14T20:56:26.6247240Z       warnings.warn(msg)
2025-08-14T20:56:26.6247280Z     
2025-08-14T20:56:26.6247400Z --- Parse Warning: 37 / 146 ---
2025-08-14T20:56:26.6248040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-08-14T20:56:26.6248200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6248380Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-08-14T20:56:26.6248420Z     
2025-08-14T20:56:26.6248560Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-08-14T20:56:26.6248690Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-08-14T20:56:26.6248800Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-08-14T20:56:26.6248910Z         Modifies module in place (and also return the modified module)
2025-08-14T20:56:26.6248960Z         by:
2025-08-14T20:56:26.6249000Z     
2025-08-14T20:56:26.6249120Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:26.6249250Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:26.6249380Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:26.6249570Z            original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:26.6249620Z            ``name+'_orig'``.
2025-08-14T20:56:26.6249660Z     
2025-08-14T20:56:26.6249700Z         Args:
2025-08-14T20:56:26.6249810Z             module (nn.Module): module containing the tensor to prune
2025-08-14T20:56:26.6249920Z             name (str): parameter name within ``module`` on which pruning
2025-08-14T20:56:26.6249980Z                     will act.
2025-08-14T20:56:26.6250080Z             amount (int or float): quantity of parameters to prune.
2025-08-14T20:56:26.6250190Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-14T20:56:26.6250310Z                 fraction of parameters to prune. If ``int``, it represents the
2025-08-14T20:56:26.6250390Z                 absolute number of parameters to prune.
2025-08-14T20:56:26.6250510Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-08-14T20:56:26.6250600Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-08-14T20:56:26.6250720Z             dim (int): index of the dim along which we define channels to prune.
2025-08-14T20:56:26.6250960Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-08-14T20:56:26.6251080Z                 shape as module parameter) used to compute mask for pruning.
2025-08-14T20:56:26.6251210Z                 The values in this tensor indicate the importance of the corresponding
2025-08-14T20:56:26.6251290Z                 elements in the parameter being pruned.
2025-08-14T20:56:26.6251420Z                 If unspecified or None, the module parameter will be used in its place.
2025-08-14T20:56:26.6251460Z     
2025-08-14T20:56:26.6251510Z         Returns:
2025-08-14T20:56:26.6251640Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-14T20:56:26.6251680Z     
2025-08-14T20:56:26.6251720Z         Examples:
2025-08-14T20:56:26.6251790Z             >>> from torch.nn.utils import prune
2025-08-14T20:56:26.6251860Z             >>> m = prune.ln_structured(
2025-08-14T20:56:26.6252020Z             ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-08-14T20:56:26.6252070Z             ... )
2025-08-14T20:56:26.6252110Z         
2025-08-14T20:56:26.6252260Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6252300Z     
2025-08-14T20:56:26.6252350Z       warnings.warn(msg)
2025-08-14T20:56:26.6252390Z     
2025-08-14T20:56:26.6252490Z --- Parse Warning: 38 / 146 ---
2025-08-14T20:56:26.6253150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-08-14T20:56:26.6253300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6253340Z     
2025-08-14T20:56:26.6253590Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-08-14T20:56:26.6253640Z     
2025-08-14T20:56:26.6253700Z     Modifies modules in place by:
2025-08-14T20:56:26.6253740Z     
2025-08-14T20:56:26.6253860Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:26.6253990Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:26.6254120Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:26.6254250Z        original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:26.6254290Z        ``name+'_orig'``.
2025-08-14T20:56:26.6254330Z     
2025-08-14T20:56:26.6254370Z     Args:
2025-08-14T20:56:26.6254500Z         parameters (Iterable of (module, name) tuples): parameters of
2025-08-14T20:56:26.6254610Z             the model to prune in a global fashion, i.e. by aggregating all
2025-08-14T20:56:26.6254820Z             weights prior to deciding which ones to prune. module must be of
2025-08-14T20:56:26.6254920Z             type :class:`nn.Module`, and name must be a string.
2025-08-14T20:56:26.6255060Z         pruning_method (function): a valid pruning function from this module,
2025-08-14T20:56:26.6255170Z             or a custom one implemented by the user that satisfies the
2025-08-14T20:56:26.6255310Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-08-14T20:56:26.6255450Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-08-14T20:56:26.6255590Z             the corresponding parameter's importance scores tensor. The tensor
2025-08-14T20:56:26.6255720Z             should be the same shape as the parameter, and is used for computing
2025-08-14T20:56:26.6255770Z             mask for pruning.
2025-08-14T20:56:26.6255900Z             If unspecified or None, the parameter will be used in place of its
2025-08-14T20:56:26.6255960Z             importance scores.
2025-08-14T20:56:26.6256040Z         kwargs: other keyword arguments such as:
2025-08-14T20:56:26.6256270Z             amount (int or float): quantity of parameters to prune across the
2025-08-14T20:56:26.6256330Z             specified parameters.
2025-08-14T20:56:26.6256440Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-08-14T20:56:26.6256560Z             fraction of parameters to prune. If ``int``, it represents the
2025-08-14T20:56:26.6256640Z             absolute number of parameters to prune.
2025-08-14T20:56:26.6256690Z     
2025-08-14T20:56:26.6256730Z     Raises:
2025-08-14T20:56:26.6256820Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-08-14T20:56:26.6256860Z     
2025-08-14T20:56:26.6256910Z     Note:
2025-08-14T20:56:26.6257040Z         Since global structured pruning doesn't make much sense unless the
2025-08-14T20:56:26.6257160Z         norm is normalized by the size of the parameter, we now limit the
2025-08-14T20:56:26.6257260Z         scope of global pruning to unstructured methods.
2025-08-14T20:56:26.6257350Z     
2025-08-14T20:56:26.6257400Z     Examples:
2025-08-14T20:56:26.6257460Z         >>> from torch.nn.utils import prune
2025-08-14T20:56:26.6257530Z         >>> from collections import OrderedDict
2025-08-14T20:56:26.6257590Z         >>> net = nn.Sequential(
2025-08-14T20:56:26.6257640Z         ...     OrderedDict(
2025-08-14T20:56:26.6257680Z         ...         [
2025-08-14T20:56:26.6257750Z         ...             ("first", nn.Linear(10, 4)),
2025-08-14T20:56:26.6257820Z         ...             ("second", nn.Linear(4, 1)),
2025-08-14T20:56:26.6257860Z         ...         ]
2025-08-14T20:56:26.6257910Z         ...     )
2025-08-14T20:56:26.6257950Z         ... )
2025-08-14T20:56:26.6258010Z         >>> parameters_to_prune = (
2025-08-14T20:56:26.6258070Z         ...     (net.first, "weight"),
2025-08-14T20:56:26.6258130Z         ...     (net.second, "weight"),
2025-08-14T20:56:26.6258170Z         ... )
2025-08-14T20:56:26.6258230Z         >>> prune.global_unstructured(
2025-08-14T20:56:26.6258280Z         ...     parameters_to_prune,
2025-08-14T20:56:26.6258360Z         ...     pruning_method=prune.L1Unstructured,
2025-08-14T20:56:26.6258410Z         ...     amount=10,
2025-08-14T20:56:26.6258460Z         ... )
2025-08-14T20:56:26.6258590Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-08-14T20:56:26.6258630Z         tensor(10)
2025-08-14T20:56:26.6258680Z     
2025-08-14T20:56:26.6258720Z     
2025-08-14T20:56:26.6258870Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6258910Z     
2025-08-14T20:56:26.6258960Z       warnings.warn(msg)
2025-08-14T20:56:26.6259000Z     
2025-08-14T20:56:26.6259100Z --- Parse Warning: 39 / 146 ---
2025-08-14T20:56:26.6259810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-08-14T20:56:26.6259960Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6260200Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-08-14T20:56:26.6260240Z     
2025-08-14T20:56:26.6260370Z         Modifies module in place (and also return the modified module) by:
2025-08-14T20:56:26.6260400Z     
2025-08-14T20:56:26.6260530Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-08-14T20:56:26.6260660Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-08-14T20:56:26.6260790Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-08-14T20:56:26.6260920Z            original (unpruned) parameter is stored in a new parameter named
2025-08-14T20:56:26.6260970Z            ``name+'_orig'``.
2025-08-14T20:56:26.6261010Z     
2025-08-14T20:56:26.6261060Z         Args:
2025-08-14T20:56:26.6261280Z             module (nn.Module): module containing the tensor to prune
2025-08-14T20:56:26.6261400Z             name (str): parameter name within ``module`` on which pruning
2025-08-14T20:56:26.6261440Z                 will act.
2025-08-14T20:56:26.6261550Z             mask (Tensor): binary mask to be applied to the parameter.
2025-08-14T20:56:26.6261590Z     
2025-08-14T20:56:26.6261630Z         Returns:
2025-08-14T20:56:26.6261760Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-08-14T20:56:26.6261800Z     
2025-08-14T20:56:26.6261840Z         Examples:
2025-08-14T20:56:26.6261910Z             >>> from torch.nn.utils import prune
2025-08-14T20:56:26.6261980Z             >>> m = prune.custom_from_mask(
2025-08-14T20:56:26.6262080Z             ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-08-14T20:56:26.6262130Z             ... )
2025-08-14T20:56:26.6262230Z             >>> print(m.bias_mask)
2025-08-14T20:56:26.6262280Z             tensor([0., 1., 0.])
2025-08-14T20:56:26.6262320Z     
2025-08-14T20:56:26.6262360Z         
2025-08-14T20:56:26.6262510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6262540Z     
2025-08-14T20:56:26.6262600Z       warnings.warn(msg)
2025-08-14T20:56:26.6262640Z     
2025-08-14T20:56:26.6262740Z --- Parse Warning: 40 / 146 ---
2025-08-14T20:56:26.6263380Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-08-14T20:56:26.6263540Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6263620Z     Pad a packed batch of variable length sequences.
2025-08-14T20:56:26.6263670Z     
2025-08-14T20:56:26.6263770Z         It is an inverse operation to :func:`pack_padded_sequence`.
2025-08-14T20:56:26.6263820Z     
2025-08-14T20:56:26.6263990Z         The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-08-14T20:56:26.6264140Z         or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-08-14T20:56:26.6264210Z         sequence and ``B`` is the batch size.
2025-08-14T20:56:26.6264250Z     
2025-08-14T20:56:26.6264290Z         Example:
2025-08-14T20:56:26.6264430Z             >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-08-14T20:56:26.6264520Z             >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-08-14T20:56:26.6264580Z             >>> lens = [2, 1, 3]
2025-08-14T20:56:26.6264650Z             >>> packed = pack_padded_sequence(
2025-08-14T20:56:26.6264790Z             ...     seq, lens, batch_first=True, enforce_sorted=False
2025-08-14T20:56:26.6264840Z             ... )
2025-08-14T20:56:26.6264890Z             >>> packed
2025-08-14T20:56:26.6265030Z             PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-08-14T20:56:26.6265160Z                            sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-08-14T20:56:26.6265310Z             >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-08-14T20:56:26.6265360Z             >>> seq_unpacked
2025-08-14T20:56:26.6265410Z             tensor([[1, 2, 0],
2025-08-14T20:56:26.6265460Z                     [3, 0, 0],
2025-08-14T20:56:26.6265510Z                     [4, 5, 6]])
2025-08-14T20:56:26.6265560Z             >>> lens_unpacked
2025-08-14T20:56:26.6265610Z             tensor([2, 1, 3])
2025-08-14T20:56:26.6265650Z     
2025-08-14T20:56:26.6265690Z         .. note::
2025-08-14T20:56:26.6265790Z             :attr:`total_length` is useful to implement the
2025-08-14T20:56:26.6265920Z             ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-08-14T20:56:26.6266120Z             :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-08-14T20:56:26.6266270Z             See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-08-14T20:56:26.6266310Z             details.
2025-08-14T20:56:26.6266350Z     
2025-08-14T20:56:26.6266390Z         Args:
2025-08-14T20:56:26.6266470Z             sequence (PackedSequence): batch to pad
2025-08-14T20:56:26.6266610Z             batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-08-14T20:56:26.6266680Z                 format, ``T x B x *`` otherwise.
2025-08-14T20:56:26.6266790Z             padding_value (float, optional): values for padded elements.
2025-08-14T20:56:26.6266940Z             total_length (int, optional): if not ``None``, the output will be padded to
2025-08-14T20:56:26.6267090Z                 have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-08-14T20:56:26.6267270Z                 if :attr:`total_length` is less than the max sequence length in
2025-08-14T20:56:26.6267330Z                 :attr:`sequence`.
2025-08-14T20:56:26.6267370Z     
2025-08-14T20:56:26.6267410Z         Returns:
2025-08-14T20:56:26.6267520Z             Tuple of Tensor containing the padded sequence, and a Tensor
2025-08-14T20:56:26.6267640Z             containing the list of lengths of each sequence in the batch.
2025-08-14T20:56:26.6267780Z             Batch elements will be re-ordered as they were ordered originally when
2025-08-14T20:56:26.6267900Z             the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-08-14T20:56:26.6267950Z         
2025-08-14T20:56:26.6268100Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6268140Z     
2025-08-14T20:56:26.6268190Z       warnings.warn(msg)
2025-08-14T20:56:26.6268230Z     
2025-08-14T20:56:26.6268330Z --- Parse Warning: 41 / 146 ---
2025-08-14T20:56:26.6268970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-08-14T20:56:26.6269120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6269160Z     
2025-08-14T20:56:26.6269340Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-08-14T20:56:26.6269380Z     
2025-08-14T20:56:26.6269540Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-08-14T20:56:26.6269680Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-08-14T20:56:26.6269720Z     
2025-08-14T20:56:26.6269970Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-08-14T20:56:26.6270140Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-08-14T20:56:26.6270240Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-08-14T20:56:26.6270280Z     
2025-08-14T20:56:26.6270320Z     Shape:
2025-08-14T20:56:26.6270450Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-08-14T20:56:26.6270600Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-08-14T20:56:26.6270740Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-08-14T20:56:26.6270810Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-08-14T20:56:26.6270850Z     
2025-08-14T20:56:26.6270890Z     Args:
2025-08-14T20:56:26.6270980Z         dim (Union[int, str]): Dimension to be unflattened
2025-08-14T20:56:26.6271190Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-08-14T20:56:26.6271380Z     
2025-08-14T20:56:26.6271430Z     Examples:
2025-08-14T20:56:26.6271490Z         >>> input = torch.randn(2, 50)
2025-08-14T20:56:26.6271540Z         >>> # With tuple of ints
2025-08-14T20:56:26.6271590Z         >>> m = nn.Sequential(
2025-08-14T20:56:26.6271650Z         >>>     nn.Linear(50, 50),
2025-08-14T20:56:26.6271710Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-08-14T20:56:26.6271750Z         >>> )
2025-08-14T20:56:26.6271800Z         >>> output = m(input)
2025-08-14T20:56:26.6271850Z         >>> output.size()
2025-08-14T20:56:26.6271900Z         torch.Size([2, 2, 5, 5])
2025-08-14T20:56:26.6271950Z         >>> # With torch.Size
2025-08-14T20:56:26.6272000Z         >>> m = nn.Sequential(
2025-08-14T20:56:26.6272050Z         >>>     nn.Linear(50, 50),
2025-08-14T20:56:26.6272130Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-08-14T20:56:26.6272170Z         >>> )
2025-08-14T20:56:26.6272270Z         >>> output = m(input)
2025-08-14T20:56:26.6272320Z         >>> output.size()
2025-08-14T20:56:26.6272380Z         torch.Size([2, 2, 5, 5])
2025-08-14T20:56:26.6272450Z         >>> # With namedshape (tuple of tuples)
2025-08-14T20:56:26.6272540Z         >>> input = torch.randn(2, 50, names=("N", "features"))
2025-08-14T20:56:26.6272660Z         >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-08-14T20:56:26.6272720Z         >>> output = unflatten(input)
2025-08-14T20:56:26.6272770Z         >>> output.size()
2025-08-14T20:56:26.6272820Z         torch.Size([2, 2, 5, 5])
2025-08-14T20:56:26.6272860Z     
2025-08-14T20:56:26.6273010Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6273050Z     
2025-08-14T20:56:26.6273100Z       warnings.warn(msg)
2025-08-14T20:56:26.6273140Z     
2025-08-14T20:56:26.6273230Z --- Parse Warning: 42 / 146 ---
2025-08-14T20:56:26.6273890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-08-14T20:56:26.6274050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6274150Z     Applies Batch Normalization over a N-Dimensional input.
2025-08-14T20:56:26.6274190Z     
2025-08-14T20:56:26.6274410Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-08-14T20:56:26.6274550Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-08-14T20:56:26.6274680Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-08-14T20:56:26.6274720Z     
2025-08-14T20:56:26.6274770Z         .. math::
2025-08-14T20:56:26.6274810Z     
2025-08-14T20:56:26.6275030Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-08-14T20:56:26.6275080Z     
2025-08-14T20:56:26.6275220Z         The mean and standard-deviation are calculated per-dimension over all
2025-08-14T20:56:26.6275360Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-08-14T20:56:26.6275500Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-08-14T20:56:26.6275610Z         By default, the elements of :math:`\gamma` are sampled from
2025-08-14T20:56:26.6275730Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-08-14T20:56:26.6275880Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-08-14T20:56:26.6275950Z         `torch.var(input, unbiased=False)`.
2025-08-14T20:56:26.6275990Z     
2025-08-14T20:56:26.6276130Z         Also by default, during training this layer keeps running estimates of its
2025-08-14T20:56:26.6276270Z         computed mean and variance, which are then used for normalization during
2025-08-14T20:56:26.6276420Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-08-14T20:56:26.6276550Z         of 0.1.
2025-08-14T20:56:26.6276580Z     
2025-08-14T20:56:26.6276720Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-08-14T20:56:26.6276850Z         keep running estimates, and batch statistics are instead used during
2025-08-14T20:56:26.6276910Z         evaluation time as well.
2025-08-14T20:56:26.6276950Z     
2025-08-14T20:56:26.6276990Z         .. note::
2025-08-14T20:56:26.6277120Z             This :attr:`momentum` argument is different from one used in optimizer
2025-08-14T20:56:26.6277250Z             classes and the conventional notion of momentum. Mathematically, the
2025-08-14T20:56:26.6277330Z             update rule for running statistics here is
2025-08-14T20:56:26.6277500Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-08-14T20:56:26.6277660Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-08-14T20:56:26.6277710Z             new observed value.
2025-08-14T20:56:26.6277760Z     
2025-08-14T20:56:26.6277930Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-08-14T20:56:26.6278090Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-08-14T20:56:26.6278190Z         Normalization or Spatio-temporal Batch Normalization.
2025-08-14T20:56:26.6278240Z     
2025-08-14T20:56:26.6278320Z         Currently :class:`SyncBatchNorm` only supports
2025-08-14T20:56:26.6278490Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-08-14T20:56:26.6278630Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-08-14T20:56:26.6278760Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-08-14T20:56:26.6278810Z         Network with DDP.
2025-08-14T20:56:26.6278860Z     
2025-08-14T20:56:26.6278900Z         Args:
2025-08-14T20:56:26.6279000Z             num_features: :math:`C` from an expected input of size
2025-08-14T20:56:26.6279050Z                 :math:`(N, C, +)`
2025-08-14T20:56:26.6279160Z             eps: a value added to the denominator for numerical stability.
2025-08-14T20:56:26.6279220Z                 Default: ``1e-5``
2025-08-14T20:56:26.6279330Z             momentum: the value used for the running_mean and running_var
2025-08-14T20:56:26.6279460Z                 computation. Can be set to ``None`` for cumulative moving average
2025-08-14T20:56:26.6279530Z                 (i.e. simple average). Default: 0.1
2025-08-14T20:56:26.6279650Z             affine: a boolean value that when set to ``True``, this module has
2025-08-14T20:56:26.6279740Z                 learnable affine parameters. Default: ``True``
2025-08-14T20:56:26.6279940Z             track_running_stats: a boolean value that when set to ``True``, this
2025-08-14T20:56:26.6280080Z                 module tracks the running mean and variance, and when set to ``False``,
2025-08-14T20:56:26.6280220Z                 this module does not track such statistics, and initializes statistics
2025-08-14T20:56:26.6280340Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-08-14T20:56:26.6280480Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-08-14T20:56:26.6280570Z                 in both training and eval modes. Default: ``True``
2025-08-14T20:56:26.6280720Z             process_group: synchronization of stats happen within each process group
2025-08-14T20:56:26.6280850Z                 individually. Default behavior is synchronization across the whole
2025-08-14T20:56:26.6280900Z                 world
2025-08-14T20:56:26.6280930Z     
2025-08-14T20:56:26.6280980Z         Shape:
2025-08-14T20:56:26.6281040Z             - Input: :math:`(N, C, +)`
2025-08-14T20:56:26.6281130Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-08-14T20:56:26.6281280Z     
2025-08-14T20:56:26.6281330Z         .. note::
2025-08-14T20:56:26.6281470Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-08-14T20:56:26.6281590Z             synchronization is disabled when ``model.eval()`` is set or if
2025-08-14T20:56:26.6281670Z             ``self.training`` is otherwise ``False``.
2025-08-14T20:56:26.6281710Z     
2025-08-14T20:56:26.6281760Z         Examples::
2025-08-14T20:56:26.6281800Z     
2025-08-14T20:56:26.6281850Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6281910Z             >>> # With Learnable Parameters
2025-08-14T20:56:26.6281970Z             >>> m = nn.SyncBatchNorm(100)
2025-08-14T20:56:26.6282050Z             >>> # creating process group (optional)
2025-08-14T20:56:26.6282130Z             >>> # ranks is a list of int identifying rank ids.
2025-08-14T20:56:26.6282200Z             >>> ranks = list(range(8))
2025-08-14T20:56:26.6282290Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-14T20:56:26.6282390Z             >>> # Note: every rank calls into new_group for every
2025-08-14T20:56:26.6282480Z             >>> # process group created, even if that rank is not
2025-08-14T20:56:26.6282540Z             >>> # part of the group.
2025-08-14T20:56:26.6282690Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-14T20:56:26.6282810Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-14T20:56:26.6282880Z             >>> # Without Learnable Parameters
2025-08-14T20:56:26.6283000Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-08-14T20:56:26.6283070Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-08-14T20:56:26.6283130Z             >>> output = m(input)
2025-08-14T20:56:26.6283170Z     
2025-08-14T20:56:26.6283240Z             >>> # network is nn.BatchNorm layer
2025-08-14T20:56:26.6283410Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-08-14T20:56:26.6283510Z             >>> # only single gpu per process is currently supported
2025-08-14T20:56:26.6283640Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-08-14T20:56:26.6283710Z             >>>                         sync_bn_network,
2025-08-14T20:56:26.6283790Z             >>>                         device_ids=[args.local_rank],
2025-08-14T20:56:26.6283870Z             >>>                         output_device=args.local_rank)
2025-08-14T20:56:26.6283910Z         
2025-08-14T20:56:26.6284060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6284100Z     
2025-08-14T20:56:26.6284150Z       warnings.warn(msg)
2025-08-14T20:56:26.6284190Z     
2025-08-14T20:56:26.6284290Z --- Parse Warning: 43 / 146 ---
2025-08-14T20:56:26.6285080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-08-14T20:56:26.6285240Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6285430Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-08-14T20:56:26.6285460Z     
2025-08-14T20:56:26.6285510Z             Args:
2025-08-14T20:56:26.6285660Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-08-14T20:56:26.6285790Z                 process_group (optional): process group to scope synchronization,
2025-08-14T20:56:26.6285850Z                     default is the whole world
2025-08-14T20:56:26.6285890Z     
2025-08-14T20:56:26.6285940Z             Returns:
2025-08-14T20:56:26.6286090Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-08-14T20:56:26.6286280Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-08-14T20:56:26.6286410Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-08-14T20:56:26.6286450Z                 instead.
2025-08-14T20:56:26.6286490Z     
2025-08-14T20:56:26.6286540Z             Example::
2025-08-14T20:56:26.6286570Z     
2025-08-14T20:56:26.6286650Z                 >>> # Network with nn.BatchNorm layer
2025-08-14T20:56:26.6286740Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.6286810Z                 >>> module = torch.nn.Sequential(
2025-08-14T20:56:26.6286890Z                 >>>            torch.nn.Linear(20, 100),
2025-08-14T20:56:26.6286960Z                 >>>            torch.nn.BatchNorm1d(100),
2025-08-14T20:56:26.6287010Z                 >>>          ).cuda()
2025-08-14T20:56:26.6287150Z                 >>> # creating process group (optional)
2025-08-14T20:56:26.6287240Z                 >>> # ranks is a list of int identifying rank ids.
2025-08-14T20:56:26.6287300Z                 >>> ranks = list(range(8))
2025-08-14T20:56:26.6287360Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-08-14T20:56:26.6287450Z                 >>> # Note: every rank calls into new_group for every
2025-08-14T20:56:26.6287550Z                 >>> # process group created, even if that rank is not
2025-08-14T20:56:26.6287610Z                 >>> # part of the group.
2025-08-14T20:56:26.6287680Z                 >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6287830Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-08-14T20:56:26.6287960Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-08-14T20:56:26.6288140Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-08-14T20:56:26.6288180Z     
2025-08-14T20:56:26.6288220Z             
2025-08-14T20:56:26.6288370Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6288410Z     
2025-08-14T20:56:26.6288460Z       warnings.warn(msg)
2025-08-14T20:56:26.6288500Z     
2025-08-14T20:56:26.6288600Z --- Parse Warning: 44 / 146 ---
2025-08-14T20:56:26.6289240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-08-14T20:56:26.6289400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6289490Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-08-14T20:56:26.6289530Z     
2025-08-14T20:56:26.6289750Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-08-14T20:56:26.6289790Z     
2025-08-14T20:56:26.6289930Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-08-14T20:56:26.6290070Z         including the indices of the maximal values and computes a partial inverse
2025-08-14T20:56:26.6290160Z         in which all non-maximal values are set to zero.
2025-08-14T20:56:26.6290200Z     
2025-08-14T20:56:26.6290240Z         Note:
2025-08-14T20:56:26.6290430Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-08-14T20:56:26.6290650Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-08-14T20:56:26.6290690Z     
2025-08-14T20:56:26.6290830Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-08-14T20:56:26.6290930Z                   sizes. Hence, the inversion process can get ambiguous.
2025-08-14T20:56:26.6291050Z                   To accommodate this, you can provide the needed output size
2025-08-14T20:56:26.6291300Z                   as an additional argument :attr:`output_size` in the forward call.
2025-08-14T20:56:26.6291370Z                   See the Inputs and Example below.
2025-08-14T20:56:26.6291410Z     
2025-08-14T20:56:26.6291450Z         Args:
2025-08-14T20:56:26.6291560Z             kernel_size (int or tuple): Size of the max pooling window.
2025-08-14T20:56:26.6291670Z             stride (int or tuple): Stride of the max pooling window.
2025-08-14T20:56:26.6291750Z                 It is set to :attr:`kernel_size` by default.
2025-08-14T20:56:26.6291860Z             padding (int or tuple): Padding that was added to the input
2025-08-14T20:56:26.6291900Z     
2025-08-14T20:56:26.6291940Z         Inputs:
2025-08-14T20:56:26.6292010Z             - `input`: the input Tensor to invert
2025-08-14T20:56:26.6292140Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-08-14T20:56:26.6292240Z             - `output_size` (optional): the targeted output size
2025-08-14T20:56:26.6292320Z     
2025-08-14T20:56:26.6292370Z         Shape:
2025-08-14T20:56:26.6292480Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-08-14T20:56:26.6292610Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-08-14T20:56:26.6292650Z     
2025-08-14T20:56:26.6292700Z               .. math::
2025-08-14T20:56:26.6292860Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-08-14T20:56:26.6292900Z     
2025-08-14T20:56:26.6292950Z               .. math::
2025-08-14T20:56:26.6293100Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-08-14T20:56:26.6293140Z     
2025-08-14T20:56:26.6293240Z               or as given by :attr:`output_size` in the call operator
2025-08-14T20:56:26.6293290Z     
2025-08-14T20:56:26.6293330Z         Example::
2025-08-14T20:56:26.6293370Z     
2025-08-14T20:56:26.6293480Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-08-14T20:56:26.6293550Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-08-14T20:56:26.6293630Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-08-14T20:56:26.6293700Z                                         [ 5.,  6.,  7.,  8.],
2025-08-14T20:56:26.6293770Z                                         [ 9., 10., 11., 12.],
2025-08-14T20:56:26.6293840Z                                         [13., 14., 15., 16.]]]])
2025-08-14T20:56:26.6293910Z             >>> output, indices = pool(input)
2025-08-14T20:56:26.6293970Z             >>> unpool(output, indices)
2025-08-14T20:56:26.6294030Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-08-14T20:56:26.6294080Z                       [  0.,   6.,   0.,   8.],
2025-08-14T20:56:26.6294140Z                       [  0.,   0.,   0.,   0.],
2025-08-14T20:56:26.6294290Z                       [  0.,  14.,   0.,  16.]]]])
2025-08-14T20:56:26.6294420Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-08-14T20:56:26.6294510Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-08-14T20:56:26.6294580Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-08-14T20:56:26.6294650Z                                         [11., 12., 13., 14., 15.],
2025-08-14T20:56:26.6294720Z                                         [16., 17., 18., 19., 20.]]]])
2025-08-14T20:56:26.6294790Z             >>> output, indices = pool(input)
2025-08-14T20:56:26.6294890Z             >>> # This call will not work without specifying output_size
2025-08-14T20:56:26.6294980Z             >>> unpool(output, indices, output_size=input.size())
2025-08-14T20:56:26.6295050Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-08-14T20:56:26.6295110Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-08-14T20:56:26.6295170Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-08-14T20:56:26.6295230Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-08-14T20:56:26.6295370Z     
2025-08-14T20:56:26.6295410Z     
2025-08-14T20:56:26.6295450Z         
2025-08-14T20:56:26.6295600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6295640Z     
2025-08-14T20:56:26.6295690Z       warnings.warn(msg)
2025-08-14T20:56:26.6295730Z     
2025-08-14T20:56:26.6295830Z --- Parse Warning: 45 / 146 ---
2025-08-14T20:56:26.6296520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-08-14T20:56:26.6296680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6296800Z     Creates a criterion that measures the triplet loss given input
2025-08-14T20:56:26.6296960Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-08-14T20:56:26.6297090Z         positive, and negative examples, respectively), and a nonnegative,
2025-08-14T20:56:26.6297240Z         real-valued function ("distance function") used to compute the relationship
2025-08-14T20:56:26.6297370Z         between the anchor and positive example ("positive distance") and the
2025-08-14T20:56:26.6297460Z         anchor and negative example ("negative distance").
2025-08-14T20:56:26.6297500Z     
2025-08-14T20:56:26.6297620Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-08-14T20:56:26.6297680Z         can be described as:
2025-08-14T20:56:26.6297720Z     
2025-08-14T20:56:26.6297760Z         .. math::
2025-08-14T20:56:26.6297850Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-08-14T20:56:26.6297950Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-08-14T20:56:26.6297990Z     
2025-08-14T20:56:26.6298140Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-08-14T20:56:26.6298310Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-08-14T20:56:26.6298460Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-08-14T20:56:26.6298600Z         between the positive and negative distances that is required for the loss to
2025-08-14T20:56:26.6298740Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-08-14T20:56:26.6298810Z         that the distance function can handle.
2025-08-14T20:56:26.6298850Z     
2025-08-14T20:56:26.6298910Z         If :attr:`reduction` is not ``'none'``
2025-08-14T20:56:26.6302240Z         (default ``'mean'``), then:
2025-08-14T20:56:26.6302290Z     
2025-08-14T20:56:26.6302330Z         .. math::
2025-08-14T20:56:26.6302470Z             \ell(x, y) =
2025-08-14T20:56:26.6302530Z             \begin{cases}
2025-08-14T20:56:26.6302650Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-08-14T20:56:26.6302770Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-08-14T20:56:26.6302820Z             \end{cases}
2025-08-14T20:56:26.6302860Z     
2025-08-14T20:56:26.6302990Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-08-14T20:56:26.6303140Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-08-14T20:56:26.6303180Z     
2025-08-14T20:56:26.6303220Z         Args:
2025-08-14T20:56:26.6303390Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-08-14T20:56:26.6303500Z                 quantifies the closeness of two tensors. If not specified,
2025-08-14T20:56:26.6303610Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-08-14T20:56:26.6303770Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-08-14T20:56:26.6304090Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-08-14T20:56:26.6304260Z                 margins penalize cases where the negative examples are not distant enough from the
2025-08-14T20:56:26.6304370Z                 anchors, relative to the positives. Default: :math:`1`.
2025-08-14T20:56:26.6304520Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-08-14T20:56:26.6304670Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-08-14T20:56:26.6304820Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-08-14T20:56:26.6304970Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-08-14T20:56:26.6305060Z                 the loss computation. Default: ``False``.
2025-08-14T20:56:26.6305270Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-08-14T20:56:26.6305390Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-14T20:56:26.6305500Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-08-14T20:56:26.6305640Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-08-14T20:56:26.6305680Z     
2025-08-14T20:56:26.6305720Z     
2025-08-14T20:56:26.6305760Z         Shape:
2025-08-14T20:56:26.6305910Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-08-14T20:56:26.6305990Z               as supported by the distance function.
2025-08-14T20:56:26.6306140Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-08-14T20:56:26.6306190Z               otherwise.
2025-08-14T20:56:26.6306230Z     
2025-08-14T20:56:26.6306280Z         Examples:
2025-08-14T20:56:26.6306310Z     
2025-08-14T20:56:26.6306370Z         >>> # Initialize embeddings
2025-08-14T20:56:26.6306440Z         >>> embedding = nn.Embedding(1000, 128)
2025-08-14T20:56:26.6306520Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:26.6306600Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:26.6306670Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-08-14T20:56:26.6306740Z         >>> anchor = embedding(anchor_ids)
2025-08-14T20:56:26.6306810Z         >>> positive = embedding(positive_ids)
2025-08-14T20:56:26.6306870Z         >>> negative = embedding(negative_ids)
2025-08-14T20:56:26.6306910Z         >>>
2025-08-14T20:56:26.6306970Z         >>> # Built-in Distance Function
2025-08-14T20:56:26.6307020Z         >>> triplet_loss = \
2025-08-14T20:56:26.6307190Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-08-14T20:56:26.6307350Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:26.6307420Z         >>> output.backward()
2025-08-14T20:56:26.6307460Z         >>>
2025-08-14T20:56:26.6307510Z         >>> # Custom Distance Function
2025-08-14T20:56:26.6307570Z         >>> def l_infinity(x1, x2):
2025-08-14T20:56:26.6307670Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-08-14T20:56:26.6307710Z         >>>
2025-08-14T20:56:26.6307820Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-08-14T20:56:26.6307870Z         >>> triplet_loss = (
2025-08-14T20:56:26.6308040Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-08-14T20:56:26.6308130Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:26.6308180Z         >>> output.backward()
2025-08-14T20:56:26.6308220Z         >>>
2025-08-14T20:56:26.6308290Z         >>> # Custom Distance Function (Lambda)
2025-08-14T20:56:26.6308340Z         >>> triplet_loss = (
2025-08-14T20:56:26.6308420Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-08-14T20:56:26.6308700Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-08-14T20:56:26.6308790Z         >>> output = triplet_loss(anchor, positive, negative)
2025-08-14T20:56:26.6308850Z         >>> output.backward()
2025-08-14T20:56:26.6308880Z     
2025-08-14T20:56:26.6308930Z         Reference:
2025-08-14T20:56:26.6309110Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-08-14T20:56:26.6309240Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-08-14T20:56:26.6309280Z         
2025-08-14T20:56:26.6309430Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-08-14T20:56:26.6309470Z     
2025-08-14T20:56:26.6309520Z       warnings.warn(msg)
2025-08-14T20:56:26.6309560Z     
2025-08-14T20:56:26.6309680Z --- Parse Warning: 46 / 146 ---
2025-08-14T20:56:26.6310380Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-08-14T20:56:26.6310530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6310620Z     The Connectionist Temporal Classification loss.
2025-08-14T20:56:26.6310660Z     
2025-08-14T20:56:26.6310880Z         Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-08-14T20:56:26.6311090Z         probability of possible alignments of input to target, producing a loss value which is differentiable
2025-08-14T20:56:26.6311290Z         with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-08-14T20:56:26.6311460Z         limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-08-14T20:56:26.6311510Z     
2025-08-14T20:56:26.6311550Z         Args:
2025-08-14T20:56:26.6311650Z             blank (int, optional): blank label. Default :math:`0`.
2025-08-14T20:56:26.6311790Z             reduction (str, optional): Specifies the reduction to apply to the output:
2025-08-14T20:56:26.6311910Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-08-14T20:56:26.6312030Z                 ``'mean'``: the output losses will be divided by the target lengths and
2025-08-14T20:56:26.6312180Z                 then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-08-14T20:56:26.6312240Z                 Default: ``'mean'``
2025-08-14T20:56:26.6312300Z             zero_infinity (bool, optional):
2025-08-14T20:56:26.6312420Z                 Whether to zero infinite losses and the associated gradients.
2025-08-14T20:56:26.6312540Z                 Default: ``False``
2025-08-14T20:56:26.6312650Z                 Infinite losses mainly occur when the inputs are too short
2025-08-14T20:56:26.6312720Z                 to be aligned to the targets.
2025-08-14T20:56:26.6312760Z     
2025-08-14T20:56:26.6312800Z         Shape:
2025-08-14T20:56:26.6312920Z             - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-08-14T20:56:26.6312990Z               where :math:`T = \text{input length}`,
2025-08-14T20:56:26.6313060Z               :math:`N = \text{batch size}`, and
2025-08-14T20:56:26.6313160Z               :math:`C = \text{number of classes (including blank)}`.
2025-08-14T20:56:26.6313290Z               The logarithmized probabilities of the outputs (e.g. obtained with
2025-08-14T20:56:26.6313370Z               :func:`torch.nn.functional.log_softmax`).
2025-08-14T20:56:26.6313450Z             - Targets: Tensor of size :math:`(N, S)` or
2025-08-14T20:56:26.6313550Z               :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-08-14T20:56:26.6313620Z               where :math:`N = \text{batch size}` and
2025-08-14T20:56:26.6313850Z               :math:`S = \text{max target length, if shape is } (N, S)`.
2025-08-14T20:56:26.6313970Z               It represents the target sequences. Each element in the target
2025-08-14T20:56:26.6314120Z               sequence is a class index. And the target index cannot be blank (default=0).
2025-08-14T20:56:26.6314210Z               In the :math:`(N, S)` form, targets are padded to the
2025-08-14T20:56:26.6314290Z               length of the longest sequence, and stacked.
2025-08-14T20:56:26.6314410Z               In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-08-14T20:56:26.6314490Z               the targets are assumed to be un-padded and
2025-08-14T20:56:26.6314560Z               concatenated within 1 dimension.
2025-08-14T20:56:26.6314690Z             - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-14T20:56:26.6314810Z               where :math:`N = \text{batch size}`. It represents the lengths of the
2025-08-14T20:56:26.6314980Z               inputs (must each be :math:`\leq T`). And the lengths are specified
2025-08-14T20:56:26.6315120Z               for each sequence to achieve masking under the assumption that sequences
2025-08-14T20:56:26.6315190Z               are padded to equal lengths.
2025-08-14T20:56:26.6315310Z             - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-08-14T20:56:26.6315440Z               where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-08-14T20:56:26.6315570Z               Lengths are specified for each sequence to achieve masking under the
2025-08-14T20:56:26.6315720Z               assumption that sequences are padded to equal lengths. If target shape is
2025-08-14T20:56:26.6315820Z               :math:`(N,S)`, target_lengths are effectively the stop index
2025-08-14T20:56:26.6315980Z               :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-08-14T20:56:26.6316080Z               each target in a batch. Lengths must each be :math:`\leq S`
2025-08-14T20:56:26.6316230Z               If the targets are given as a 1d tensor that is the concatenation of individual
2025-08-14T20:56:26.6316370Z               targets, the target_lengths must add up to the total length of the tensor.
2025-08-14T20:56:26.6316490Z             - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-08-14T20:56:26.6316630Z               ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-08-14T20:56:26.6316760Z               :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-08-14T20:56:26.6316800Z     
2025-08-14T20:56:26.6316840Z         Examples:
2025-08-14T20:56:26.6316880Z     
2025-08-14T20:56:26.6316940Z             >>> # Target are to be padded
2025-08-14T20:56:26.6317010Z             >>> T = 50  # Input sequence length
2025-08-14T20:56:26.6317190Z             >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:26.6317240Z             >>> N = 16  # Batch size
2025-08-14T20:56:26.6317380Z             >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-08-14T20:56:26.6317500Z             >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-08-14T20:56:26.6317540Z             >>>
2025-08-14T20:56:26.6317660Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-14T20:56:26.6317780Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-14T20:56:26.6317830Z             >>>
2025-08-14T20:56:26.6317940Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:26.6318070Z             >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-08-14T20:56:26.6318110Z             >>>
2025-08-14T20:56:26.6318250Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-14T20:56:26.6318320Z             >>> target_lengths = torch.randint(
2025-08-14T20:56:26.6318450Z             ...     low=S_min,
2025-08-14T20:56:26.6318500Z             ...     high=S,
2025-08-14T20:56:26.6318550Z             ...     size=(N,),
2025-08-14T20:56:26.6318600Z             ...     dtype=torch.long,
2025-08-14T20:56:26.6318640Z             ... )
2025-08-14T20:56:26.6318700Z             >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:26.6318810Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:26.6318870Z             >>> loss.backward()
2025-08-14T20:56:26.6318910Z             >>>
2025-08-14T20:56:26.6318950Z             >>>
2025-08-14T20:56:26.6319010Z             >>> # Target are to be un-padded
2025-08-14T20:56:26.6319080Z             >>> T = 50  # Input sequence length
2025-08-14T20:56:26.6319160Z             >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:26.6319210Z             >>> N = 16  # Batch size
2025-08-14T20:56:26.6319290Z             >>>
2025-08-14T20:56:26.6319420Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-08-14T20:56:26.6319540Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-08-14T20:56:26.6319670Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-08-14T20:56:26.6319710Z             >>>
2025-08-14T20:56:26.6319830Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:26.6319970Z             >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-08-14T20:56:26.6320020Z             >>> target = torch.randint(
2025-08-14T20:56:26.6320070Z             ...     low=1,
2025-08-14T20:56:26.6320120Z             ...     high=C,
2025-08-14T20:56:26.6320190Z             ...     size=(sum(target_lengths),),
2025-08-14T20:56:26.6320240Z             ...     dtype=torch.long,
2025-08-14T20:56:26.6320290Z             ... )
2025-08-14T20:56:26.6320350Z             >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:26.6320460Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:26.6320520Z             >>> loss.backward()
2025-08-14T20:56:26.6320560Z             >>>
2025-08-14T20:56:26.6320600Z             >>>
2025-08-14T20:56:26.6320710Z             >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-08-14T20:56:26.6320780Z             >>> T = 50  # Input sequence length
2025-08-14T20:56:26.6320870Z             >>> C = 20  # Number of classes (including blank)
2025-08-14T20:56:26.6320910Z             >>>
2025-08-14T20:56:26.6321030Z             >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-08-14T20:56:26.6321110Z             >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-08-14T20:56:26.6321230Z             >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-08-14T20:56:26.6321400Z             >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-08-14T20:56:26.6321440Z             >>>
2025-08-14T20:56:26.6321560Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-08-14T20:56:26.6321700Z             >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-08-14T20:56:26.6321760Z             >>> target = torch.randint(
2025-08-14T20:56:26.6321800Z             ...     low=1,
2025-08-14T20:56:26.6321850Z             ...     high=C,
2025-08-14T20:56:26.6321910Z             ...     size=(target_lengths,),
2025-08-14T20:56:26.6321970Z             ...     dtype=torch.long,
2025-08-14T20:56:26.6322010Z             ... )
2025-08-14T20:56:26.6322060Z             >>> ctc_loss = nn.CTCLoss()
2025-08-14T20:56:26.6322170Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-08-14T20:56:26.6322220Z             >>> loss.backward()
2025-08-14T20:56:26.6322260Z     
2025-08-14T20:56:26.6322310Z         Reference:
2025-08-14T20:56:26.6322420Z             A. Graves et al.: Connectionist Temporal Classification:
2025-08-14T20:56:26.6322640Z             Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-08-14T20:56:26.6322740Z             https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-08-14T20:56:26.6322780Z     
2025-08-14T20:56:26.6322820Z         Note:
2025-08-14T20:56:26.6322960Z             In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-08-14T20:56:26.6323120Z             in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-08-14T20:56:26.6323250Z             :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-08-14T20:56:26.6323310Z             dtype :attr:`torch.int32`.
2025-08-14T20:56:26.6323350Z     
2025-08-14T20:56:26.6323510Z             The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-08-14T20:56:26.6323550Z     
2025-08-14T20:56:26.6323580Z     
2025-08-14T20:56:26.6323630Z         Note:
2025-08-14T20:56:26.6323830Z             In some circumstances when using the CUDA backend with CuDNN, this operator
2025-08-14T20:56:26.6323980Z             may select a nondeterministic algorithm to increase performance. If this is
2025-08-14T20:56:26.6324120Z             undesirable, you can try to make the operation deterministic (potentially at
2025-08-14T20:56:26.6324260Z             a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-08-14T20:56:26.6324310Z             True``.
2025-08-14T20:56:26.6324430Z             Please see the notes on :doc:`/notes/randomness` for background.
2025-08-14T20:56:26.6324470Z         
2025-08-14T20:56:26.6324610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6324650Z     
2025-08-14T20:56:26.6324700Z       warnings.warn(msg)
2025-08-14T20:56:26.6324740Z     
2025-08-14T20:56:26.6324840Z --- Parse Warning: 47 / 146 ---
2025-08-14T20:56:26.6325530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-08-14T20:56:26.6325680Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6325770Z     Take in and process masked source/target sequences.
2025-08-14T20:56:26.6325810Z     
2025-08-14T20:56:26.6325860Z             .. note::
2025-08-14T20:56:26.6325890Z     
2025-08-14T20:56:26.6326120Z                 If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-08-14T20:56:26.6326210Z                 not allowed to participate in the attention,
2025-08-14T20:56:26.6326330Z                 which is the opposite of the definition for :attr:`attn_mask`
2025-08-14T20:56:26.6326510Z                 in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-08-14T20:56:26.6326550Z     
2025-08-14T20:56:26.6326600Z             Args:
2025-08-14T20:56:26.6326680Z                 src: the sequence to the encoder (required).
2025-08-14T20:56:26.6326760Z                 tgt: the sequence to the decoder (required).
2025-08-14T20:56:26.6326870Z                 src_mask: the additive mask for the src sequence (optional).
2025-08-14T20:56:26.6326980Z                 tgt_mask: the additive mask for the tgt sequence (optional).
2025-08-14T20:56:26.6327100Z                 memory_mask: the additive mask for the encoder output (optional).
2025-08-14T20:56:26.6327240Z                 src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-08-14T20:56:26.6327370Z                 tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-08-14T20:56:26.6327520Z                 memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-08-14T20:56:26.6327650Z                 src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-08-14T20:56:26.6327850Z                     Default: ``None``; try to detect a causal mask.
2025-08-14T20:56:26.6327900Z                     Warning:
2025-08-14T20:56:26.6328000Z                     ``src_is_causal`` provides a hint that ``src_mask`` is
2025-08-14T20:56:26.6328110Z                     the causal mask. Providing incorrect hints can result in
2025-08-14T20:56:26.6328210Z                     incorrect execution, including forward and backward
2025-08-14T20:56:26.6328270Z                     compatibility.
2025-08-14T20:56:26.6328390Z                 tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-08-14T20:56:26.6328480Z                     Default: ``None``; try to detect a causal mask.
2025-08-14T20:56:26.6328530Z                     Warning:
2025-08-14T20:56:26.6328630Z                     ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-08-14T20:56:26.6328740Z                     the causal mask. Providing incorrect hints can result in
2025-08-14T20:56:26.6328890Z                     incorrect execution, including forward and backward
2025-08-14T20:56:26.6328950Z                     compatibility.
2025-08-14T20:56:26.6329060Z                 memory_is_causal: If specified, applies a causal mask as
2025-08-14T20:56:26.6329110Z                     ``memory_mask``.
2025-08-14T20:56:26.6329160Z                     Default: ``False``.
2025-08-14T20:56:26.6329210Z                     Warning:
2025-08-14T20:56:26.6329290Z                     ``memory_is_causal`` provides a hint that
2025-08-14T20:56:26.6329390Z                     ``memory_mask`` is the causal mask. Providing incorrect
2025-08-14T20:56:26.6329490Z                     hints can result in incorrect execution, including
2025-08-14T20:56:26.6329570Z                     forward and backward compatibility.
2025-08-14T20:56:26.6329610Z     
2025-08-14T20:56:26.6329650Z             Shape:
2025-08-14T20:56:26.6329810Z                 - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-08-14T20:56:26.6329880Z                   `(N, S, E)` if `batch_first=True`.
2025-08-14T20:56:26.6330030Z                 - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-14T20:56:26.6330100Z                   `(N, T, E)` if `batch_first=True`.
2025-08-14T20:56:26.6330220Z                 - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-08-14T20:56:26.6330330Z                 - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-08-14T20:56:26.6330390Z                 - memory_mask: :math:`(T, S)`.
2025-08-14T20:56:26.6330540Z                 - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-14T20:56:26.6330680Z                 - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-08-14T20:56:26.6330900Z                 - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-08-14T20:56:26.6330950Z     
2025-08-14T20:56:26.6331130Z                 Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-08-14T20:56:26.6331260Z                 positions. If a BoolTensor is provided, positions with ``True``
2025-08-14T20:56:26.6331420Z                 are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-08-14T20:56:26.6331520Z                 is provided, it will be added to the attention weight.
2025-08-14T20:56:26.6331700Z                 [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-08-14T20:56:26.6331830Z                 the attention. If a BoolTensor is provided, the positions with the
2025-08-14T20:56:26.6332020Z                 value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-08-14T20:56:26.6332060Z     
2025-08-14T20:56:26.6332210Z                 - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-08-14T20:56:26.6332440Z                   `(N, T, E)` if `batch_first=True`.
2025-08-14T20:56:26.6332480Z     
2025-08-14T20:56:26.6332630Z                 Note: Due to the multi-head attention architecture in the transformer model,
2025-08-14T20:56:26.6332770Z                 the output sequence length of a transformer is same as the input sequence
2025-08-14T20:56:26.6332850Z                 (i.e. target) length of the decoder.
2025-08-14T20:56:26.6332890Z     
2025-08-14T20:56:26.6333070Z                 where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-08-14T20:56:26.6333160Z                 batch size, :math:`E` is the feature number
2025-08-14T20:56:26.6333190Z     
2025-08-14T20:56:26.6333240Z             Examples:
2025-08-14T20:56:26.6333300Z                 >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6333370Z                 >>> output = transformer_model(
2025-08-14T20:56:26.6333510Z                 ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-08-14T20:56:26.6333550Z                 ... )
2025-08-14T20:56:26.6333590Z             
2025-08-14T20:56:26.6333740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6333780Z     
2025-08-14T20:56:26.6333830Z       warnings.warn(msg)
2025-08-14T20:56:26.6333870Z     
2025-08-14T20:56:26.6333970Z --- Parse Warning: 48 / 146 ---
2025-08-14T20:56:26.6334620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-08-14T20:56:26.6334780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6334970Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-08-14T20:56:26.6335010Z     
2025-08-14T20:56:26.6335200Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-08-14T20:56:26.6335260Z         and with 2D inputs, this class
2025-08-14T20:56:26.6335300Z     
2025-08-14T20:56:26.6335480Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-08-14T20:56:26.6335660Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-08-14T20:56:26.6335840Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-08-14T20:56:26.6335880Z     
2025-08-14T20:56:26.6336080Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-08-14T20:56:26.6336130Z         operations.
2025-08-14T20:56:26.6336250Z     
2025-08-14T20:56:26.6336410Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-08-14T20:56:26.6336550Z         pass. This scales the output of the Embedding before performing a weighted
2025-08-14T20:56:26.6336700Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-08-14T20:56:26.6336840Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-08-14T20:56:26.6336890Z         :attr:`per_sample_weights`.
2025-08-14T20:56:26.6336940Z     
2025-08-14T20:56:26.6336980Z         Args:
2025-08-14T20:56:26.6337090Z             num_embeddings (int): size of the dictionary of embeddings
2025-08-14T20:56:26.6337190Z             embedding_dim (int): the size of each embedding vector
2025-08-14T20:56:26.6337380Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-08-14T20:56:26.6337470Z                                         is renormalized to have norm :attr:`max_norm`.
2025-08-14T20:56:26.6337680Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-08-14T20:56:26.6337990Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-08-14T20:56:26.6338090Z                                                     the words in the mini-batch. Default ``False``.
2025-08-14T20:56:26.6338210Z                                                     Note: this option is not supported when ``mode="max"``.
2025-08-14T20:56:26.6338360Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-08-14T20:56:26.6338490Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-08-14T20:56:26.6338630Z                                      into consideration. ``"mean"`` computes the average of the values
2025-08-14T20:56:26.6338790Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-08-14T20:56:26.6338860Z                                      Default: ``"mean"``
2025-08-14T20:56:26.6339060Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-08-14T20:56:26.6339220Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-08-14T20:56:26.6339310Z                                      supported when ``mode="max"``.
2025-08-14T20:56:26.6339540Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-08-14T20:56:26.6339680Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-08-14T20:56:26.6339880Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-08-14T20:56:26.6340050Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-08-14T20:56:26.6340200Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-08-14T20:56:26.6340360Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-08-14T20:56:26.6340500Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-08-14T20:56:26.6340650Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-08-14T20:56:26.6340720Z                                          reduction.
2025-08-14T20:56:26.6340760Z     
2025-08-14T20:56:26.6340800Z         Attributes:
2025-08-14T20:56:26.6341070Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-08-14T20:56:26.6341170Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-08-14T20:56:26.6341210Z     
2025-08-14T20:56:26.6341260Z         Examples::
2025-08-14T20:56:26.6341300Z     
2025-08-14T20:56:26.6341400Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-08-14T20:56:26.6341500Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-08-14T20:56:26.6341570Z             >>> # a batch of 2 samples of 4 indices each
2025-08-14T20:56:26.6341690Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-08-14T20:56:26.6341780Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-14T20:56:26.6341870Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.6341930Z             >>> embedding_sum(input, offsets)
2025-08-14T20:56:26.6341990Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-08-14T20:56:26.6342060Z                     [ 1.1306, -2.5798, -1.0044]])
2025-08-14T20:56:26.6342090Z     
2025-08-14T20:56:26.6342160Z             >>> # Example with padding_idx
2025-08-14T20:56:26.6342390Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-08-14T20:56:26.6342500Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-08-14T20:56:26.6342590Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-08-14T20:56:26.6342660Z             >>> embedding_sum(input, offsets)
2025-08-14T20:56:26.6342720Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-08-14T20:56:26.6342780Z                     [-0.7082,  3.2145, -2.6251]])
2025-08-14T20:56:26.6342820Z     
2025-08-14T20:56:26.6342930Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-08-14T20:56:26.6343010Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-08-14T20:56:26.6343110Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-08-14T20:56:26.6343170Z                     embedding.weight,
2025-08-14T20:56:26.6343290Z                     padding_idx=embedding.padding_idx,
2025-08-14T20:56:26.6343340Z                     mode='sum')
2025-08-14T20:56:26.6343390Z         
2025-08-14T20:56:26.6343530Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6343570Z     
2025-08-14T20:56:26.6343620Z       warnings.warn(msg)
2025-08-14T20:56:26.6343660Z     
2025-08-14T20:56:26.6343760Z --- Parse Warning: 49 / 146 ---
2025-08-14T20:56:26.6344450Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2706.
2025-08-14T20:56:26.6344610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6344650Z     
2025-08-14T20:56:26.6344800Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-08-14T20:56:26.6344840Z     
2025-08-14T20:56:26.6344990Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-08-14T20:56:26.6345110Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-08-14T20:56:26.6345150Z     
2025-08-14T20:56:26.6345190Z     Args:
2025-08-14T20:56:26.6345320Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-08-14T20:56:26.6345460Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-08-14T20:56:26.6345590Z             matters and it needs to match with corresponding isend/irecv on the
2025-08-14T20:56:26.6345630Z             remote end.
2025-08-14T20:56:26.6345670Z     
2025-08-14T20:56:26.6345710Z     Returns:
2025-08-14T20:56:26.6345850Z         A list of distributed request objects returned by calling the corresponding
2025-08-14T20:56:26.6345990Z         op in the op_list.
2025-08-14T20:56:26.6346030Z     
2025-08-14T20:56:26.6346080Z     Examples:
2025-08-14T20:56:26.6346140Z         >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:26.6346260Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-08-14T20:56:26.6346350Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-08-14T20:56:26.6346480Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-08-14T20:56:26.6346530Z         >>> recv_op = dist.P2POp(
2025-08-14T20:56:26.6346650Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-08-14T20:56:26.6346690Z         ... )
2025-08-14T20:56:26.6346770Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-08-14T20:56:26.6346820Z         >>> for req in reqs:
2025-08-14T20:56:26.6346870Z         >>>     req.wait()
2025-08-14T20:56:26.6346910Z         >>> recv_tensor
2025-08-14T20:56:26.6346970Z         tensor([2, 3])     # Rank 0
2025-08-14T20:56:26.6347030Z         tensor([0, 1])     # Rank 1
2025-08-14T20:56:26.6347070Z     
2025-08-14T20:56:26.6347300Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-08-14T20:56:26.6347440Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-08-14T20:56:26.6347500Z         lead to unexpected hang issues.
2025-08-14T20:56:26.6347540Z     
2025-08-14T20:56:26.6347670Z         In addition, if this API is the first collective call in the ``group``
2025-08-14T20:56:26.6347800Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-08-14T20:56:26.6347930Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-08-14T20:56:26.6348060Z         not the first collective call in the ``group``, batched P2P operations
2025-08-14T20:56:26.6348180Z         involving only a subset of ranks of the ``group`` are allowed.
2025-08-14T20:56:26.6348220Z     
2025-08-14T20:56:26.6348360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6348460Z     
2025-08-14T20:56:26.6348510Z       warnings.warn(msg)
2025-08-14T20:56:26.6348550Z     
2025-08-14T20:56:26.6348650Z --- Parse Warning: 50 / 146 ---
2025-08-14T20:56:26.6349320Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2838.
2025-08-14T20:56:26.6349470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6349510Z     
2025-08-14T20:56:26.6349670Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-08-14T20:56:26.6349710Z     
2025-08-14T20:56:26.6349850Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-08-14T20:56:26.6349890Z     
2025-08-14T20:56:26.6349950Z     Complex tensors are supported.
2025-08-14T20:56:26.6349990Z     
2025-08-14T20:56:26.6350030Z     Args:
2025-08-14T20:56:26.6350150Z         tensor (Tensor): Input and output of the collective. The function
2025-08-14T20:56:26.6350210Z             operates in-place.
2025-08-14T20:56:26.6350270Z         op (optional): One of the values from
2025-08-14T20:56:26.6350340Z             ``torch.distributed.ReduceOp``
2025-08-14T20:56:26.6350460Z             enum.  Specifies an operation used for element-wise reductions.
2025-08-14T20:56:26.6350600Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6350670Z             the default process group will be used.
2025-08-14T20:56:26.6350790Z         async_op (bool, optional): Whether this op should be an async op
2025-08-14T20:56:26.6350830Z     
2025-08-14T20:56:26.6350870Z     Returns:
2025-08-14T20:56:26.6351040Z         Async work handle, if async_op is set to True.
2025-08-14T20:56:26.6351130Z         None, if not async_op or if not part of the group
2025-08-14T20:56:26.6351170Z     
2025-08-14T20:56:26.6351210Z     Examples:
2025-08-14T20:56:26.6351270Z         >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:26.6351350Z         >>> # All tensors below are of torch.int64 type.
2025-08-14T20:56:26.6351420Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6351490Z         >>> device = torch.device(f"cuda:{rank}")
2025-08-14T20:56:26.6351630Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-14T20:56:26.6351670Z         >>> tensor
2025-08-14T20:56:26.6351740Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6351810Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6351880Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-14T20:56:26.6351930Z         >>> tensor
2025-08-14T20:56:26.6351990Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6352060Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6352110Z     
2025-08-14T20:56:26.6352310Z         >>> # All tensors below are of torch.cfloat type.
2025-08-14T20:56:26.6352370Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6352430Z         >>> tensor = torch.tensor(
2025-08-14T20:56:26.6352530Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-14T20:56:26.6352580Z         ... ) + 2 * rank * (1 + 1j)
2025-08-14T20:56:26.6352620Z         >>> tensor
2025-08-14T20:56:26.6352700Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6352780Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6352870Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-08-14T20:56:26.6352910Z         >>> tensor
2025-08-14T20:56:26.6352990Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6353070Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6353140Z     
2025-08-14T20:56:26.6353180Z     
2025-08-14T20:56:26.6353330Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6353370Z     
2025-08-14T20:56:26.6353420Z       warnings.warn(msg)
2025-08-14T20:56:26.6353460Z     
2025-08-14T20:56:26.6353560Z --- Parse Warning: 51 / 146 ---
2025-08-14T20:56:26.6354240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3198.
2025-08-14T20:56:26.6354390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6354430Z     
2025-08-14T20:56:26.6354560Z     Gathers picklable objects from the whole group in a single process.
2025-08-14T20:56:26.6354600Z     
2025-08-14T20:56:26.6354740Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-08-14T20:56:26.6354830Z     object must be picklable in order to be gathered.
2025-08-14T20:56:26.6354870Z     
2025-08-14T20:56:26.6354910Z     Args:
2025-08-14T20:56:26.6354990Z         obj (Any): Input object. Must be picklable.
2025-08-14T20:56:26.6355110Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-08-14T20:56:26.6355220Z             should be correctly sized as the size of the group for this
2025-08-14T20:56:26.6355350Z             collective and will contain the output. Must be ``None`` on non-dst
2025-08-14T20:56:26.6355410Z             ranks. (default is ``None``)
2025-08-14T20:56:26.6359030Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-08-14T20:56:26.6359170Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-08-14T20:56:26.6359430Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6359550Z             the default process group will be used. Default is ``None``.
2025-08-14T20:56:26.6359760Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-08-14T20:56:26.6359800Z     
2025-08-14T20:56:26.6359840Z     Returns:
2025-08-14T20:56:26.6359950Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-08-14T20:56:26.6360010Z         output of the collective.
2025-08-14T20:56:26.6360050Z     
2025-08-14T20:56:26.6360180Z     .. note:: Note that this API differs slightly from the gather collective
2025-08-14T20:56:26.6360310Z         since it does not provide an async_op handle and thus will be a blocking
2025-08-14T20:56:26.6360350Z         call.
2025-08-14T20:56:26.6360390Z     
2025-08-14T20:56:26.6360530Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-08-14T20:56:26.6360660Z         of objects must be moved to the GPU device before communication takes
2025-08-14T20:56:26.6360750Z         place. In this case, the device used is given by
2025-08-14T20:56:26.6360970Z         ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-08-14T20:56:26.6361090Z         ensure that this is set so that each rank has an individual GPU, via
2025-08-14T20:56:26.6361150Z         ``torch.cuda.set_device()``.
2025-08-14T20:56:26.6361190Z     
2025-08-14T20:56:26.6361230Z     .. warning::
2025-08-14T20:56:26.6361380Z         Object collectives have a number of serious performance and scalability
2025-08-14T20:56:26.6361480Z         limitations.  See :ref:`object_collectives` for details.
2025-08-14T20:56:26.6361520Z     
2025-08-14T20:56:26.6361560Z     .. warning::
2025-08-14T20:56:26.6361680Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-08-14T20:56:26.6361810Z         known to be insecure. It is possible to construct malicious pickle data
2025-08-14T20:56:26.6361940Z         which will execute arbitrary code during unpickling. Only call this
2025-08-14T20:56:26.6362050Z         function with data you trust.
2025-08-14T20:56:26.6362090Z     
2025-08-14T20:56:26.6362140Z     .. warning::
2025-08-14T20:56:26.6362260Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-08-14T20:56:26.6362400Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-08-14T20:56:26.6362500Z         pickled. Please consider using :func:`gather` instead.
2025-08-14T20:56:26.6362540Z     
2025-08-14T20:56:26.6362580Z     Example::
2025-08-14T20:56:26.6362670Z         >>> # xdoctest: +SKIP("need process group init")
2025-08-14T20:56:26.6362770Z         >>> # Note: Process group initialization omitted on each rank.
2025-08-14T20:56:26.6362840Z         >>> import torch.distributed as dist
2025-08-14T20:56:26.6362900Z         >>> # Assumes world_size of 3.
2025-08-14T20:56:26.6363010Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-08-14T20:56:26.6363080Z         >>> output = [None for _ in gather_objects]
2025-08-14T20:56:26.6363140Z         >>> dist.gather_object(
2025-08-14T20:56:26.6363210Z         ...     gather_objects[dist.get_rank()],
2025-08-14T20:56:26.6363290Z         ...     output if dist.get_rank() == 0 else None,
2025-08-14T20:56:26.6363330Z         ...     dst=0
2025-08-14T20:56:26.6363370Z         ... )
2025-08-14T20:56:26.6363420Z         >>> # On rank 0
2025-08-14T20:56:26.6363460Z         >>> output
2025-08-14T20:56:26.6363510Z         ['foo', 12, {1: 2}]
2025-08-14T20:56:26.6363550Z     
2025-08-14T20:56:26.6363700Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6363740Z     
2025-08-14T20:56:26.6363790Z       warnings.warn(msg)
2025-08-14T20:56:26.6363830Z     
2025-08-14T20:56:26.6363950Z --- Parse Warning: 52 / 146 ---
2025-08-14T20:56:26.6364710Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3794.
2025-08-14T20:56:26.6364880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6364920Z     
2025-08-14T20:56:26.6365000Z     Gathers tensors from the whole group in a list.
2025-08-14T20:56:26.6365040Z     
2025-08-14T20:56:26.6365120Z     Complex and uneven sized tensors are supported.
2025-08-14T20:56:26.6365160Z     
2025-08-14T20:56:26.6365200Z     Args:
2025-08-14T20:56:26.6365310Z         tensor_list (list[Tensor]): Output list. It should contain
2025-08-14T20:56:26.6365430Z             correctly-sized tensors to be used for output of the collective.
2025-08-14T20:56:26.6365510Z             Uneven sized tensors are supported.
2025-08-14T20:56:26.6365620Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-08-14T20:56:26.6365760Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6365930Z             the default process group will be used.
2025-08-14T20:56:26.6366050Z         async_op (bool, optional): Whether this op should be an async op
2025-08-14T20:56:26.6366090Z     
2025-08-14T20:56:26.6366130Z     Returns:
2025-08-14T20:56:26.6366210Z         Async work handle, if async_op is set to True.
2025-08-14T20:56:26.6366300Z         None, if not async_op or if not part of the group
2025-08-14T20:56:26.6366340Z     
2025-08-14T20:56:26.6366380Z     Examples:
2025-08-14T20:56:26.6366460Z         >>> # xdoctest: +SKIP("need process group init")
2025-08-14T20:56:26.6366540Z         >>> # All tensors below are of torch.int64 dtype.
2025-08-14T20:56:26.6366610Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6366680Z         >>> device = torch.device(f"cuda:{rank}")
2025-08-14T20:56:26.6366730Z         >>> tensor_list = [
2025-08-14T20:56:26.6366860Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-08-14T20:56:26.6366940Z         ... ]
2025-08-14T20:56:26.6366990Z         >>> tensor_list
2025-08-14T20:56:26.6367120Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-08-14T20:56:26.6367230Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-08-14T20:56:26.6367370Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-08-14T20:56:26.6367410Z         >>> tensor
2025-08-14T20:56:26.6367480Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6367550Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6367620Z         >>> dist.all_gather(tensor_list, tensor)
2025-08-14T20:56:26.6367670Z         >>> tensor_list
2025-08-14T20:56:26.6367780Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-08-14T20:56:26.6367900Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-08-14T20:56:26.6367940Z     
2025-08-14T20:56:26.6368030Z         >>> # All tensors below are of torch.cfloat dtype.
2025-08-14T20:56:26.6368100Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6368150Z         >>> tensor_list = [
2025-08-14T20:56:26.6368280Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-08-14T20:56:26.6368320Z         ... ]
2025-08-14T20:56:26.6368370Z         >>> tensor_list
2025-08-14T20:56:26.6368520Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-08-14T20:56:26.6368670Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-08-14T20:56:26.6368730Z         >>> tensor = torch.tensor(
2025-08-14T20:56:26.6368820Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-08-14T20:56:26.6368870Z         ... ) + 2 * rank * (1 + 1j)
2025-08-14T20:56:26.6368970Z         >>> tensor
2025-08-14T20:56:26.6369060Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-08-14T20:56:26.6369140Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-08-14T20:56:26.6369210Z         >>> dist.all_gather(tensor_list, tensor)
2025-08-14T20:56:26.6369260Z         >>> tensor_list
2025-08-14T20:56:26.6369400Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-08-14T20:56:26.6369550Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-08-14T20:56:26.6369590Z     
2025-08-14T20:56:26.6369630Z     
2025-08-14T20:56:26.6369780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6369820Z     
2025-08-14T20:56:26.6369870Z       warnings.warn(msg)
2025-08-14T20:56:26.6369910Z     
2025-08-14T20:56:26.6370010Z --- Parse Warning: 53 / 146 ---
2025-08-14T20:56:26.6370690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4500.
2025-08-14T20:56:26.6370960Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6371010Z     
2025-08-14T20:56:26.6371170Z     Split input tensor and then scatter the split list to all processes in a group.
2025-08-14T20:56:26.6371210Z     
2025-08-14T20:56:26.6371360Z     Later the received tensors are concatenated from all the processes in the group
2025-08-14T20:56:26.6371430Z     and returned as a single output tensor.
2025-08-14T20:56:26.6371470Z     
2025-08-14T20:56:26.6371530Z     Complex tensors are supported.
2025-08-14T20:56:26.6371560Z     
2025-08-14T20:56:26.6371600Z     Args:
2025-08-14T20:56:26.6371710Z         output (Tensor): Gathered concatenated output tensor.
2025-08-14T20:56:26.6371840Z         input (Tensor): Input tensor to scatter.
2025-08-14T20:56:26.6371980Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-08-14T20:56:26.6372110Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-08-14T20:56:26.6372170Z             equally by ``world_size``.
2025-08-14T20:56:26.6372300Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-08-14T20:56:26.6372420Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-08-14T20:56:26.6372480Z             equally by ``world_size``.
2025-08-14T20:56:26.6372610Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6372690Z             the default process group will be used.
2025-08-14T20:56:26.6372810Z         async_op (bool, optional): Whether this op should be an async op.
2025-08-14T20:56:26.6372850Z     
2025-08-14T20:56:26.6372890Z     Returns:
2025-08-14T20:56:26.6372980Z         Async work handle, if async_op is set to True.
2025-08-14T20:56:26.6373070Z         None, if not async_op or if not part of the group.
2025-08-14T20:56:26.6373110Z     
2025-08-14T20:56:26.6373150Z     .. warning::
2025-08-14T20:56:26.6373250Z         `all_to_all_single` is experimental and subject to change.
2025-08-14T20:56:26.6373290Z     
2025-08-14T20:56:26.6373330Z     Examples:
2025-08-14T20:56:26.6373400Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-08-14T20:56:26.6373470Z         >>> input = torch.arange(4) + rank * 4
2025-08-14T20:56:26.6373510Z         >>> input
2025-08-14T20:56:26.6373560Z         tensor([0, 1, 2, 3])     # Rank 0
2025-08-14T20:56:26.6373620Z         tensor([4, 5, 6, 7])     # Rank 1
2025-08-14T20:56:26.6373670Z         tensor([8, 9, 10, 11])   # Rank 2
2025-08-14T20:56:26.6373730Z         tensor([12, 13, 14, 15]) # Rank 3
2025-08-14T20:56:26.6373810Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-08-14T20:56:26.6373960Z         >>> dist.all_to_all_single(output, input)
2025-08-14T20:56:26.6374010Z         >>> output
2025-08-14T20:56:26.6374060Z         tensor([0, 4, 8, 12])    # Rank 0
2025-08-14T20:56:26.6374120Z         tensor([1, 5, 9, 13])    # Rank 1
2025-08-14T20:56:26.6374170Z         tensor([2, 6, 10, 14])   # Rank 2
2025-08-14T20:56:26.6374220Z         tensor([3, 7, 11, 15])   # Rank 3
2025-08-14T20:56:26.6374260Z     
2025-08-14T20:56:26.6374350Z         >>> # Essentially, it is similar to following operation:
2025-08-14T20:56:26.6374440Z         >>> scatter_list = list(input.chunk(world_size))
2025-08-14T20:56:26.6374520Z         >>> gather_list = list(output.chunk(world_size))
2025-08-14T20:56:26.6374580Z         >>> for i in range(world_size):
2025-08-14T20:56:26.6374710Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-08-14T20:56:26.6374750Z     
2025-08-14T20:56:26.6374820Z         >>> # Another example with uneven split
2025-08-14T20:56:26.6374870Z         >>> input
2025-08-14T20:56:26.6374970Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-14T20:56:26.6375160Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-14T20:56:26.6375260Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-14T20:56:26.6375350Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-14T20:56:26.6375400Z         >>> input_splits
2025-08-14T20:56:26.6375480Z         [2, 2, 1, 1]                                                     # Rank 0
2025-08-14T20:56:26.6375550Z         [3, 2, 2, 2]                                                     # Rank 1
2025-08-14T20:56:26.6375630Z         [2, 1, 1, 1]                                                     # Rank 2
2025-08-14T20:56:26.6375700Z         [2, 2, 2, 1]                                                     # Rank 3
2025-08-14T20:56:26.6375750Z         >>> output_splits
2025-08-14T20:56:26.6375830Z         [2, 3, 2, 2]                                                     # Rank 0
2025-08-14T20:56:26.6375950Z         [2, 2, 1, 2]                                                     # Rank 1
2025-08-14T20:56:26.6376020Z         [1, 2, 1, 2]                                                     # Rank 2
2025-08-14T20:56:26.6376090Z         [1, 2, 1, 1]                                                     # Rank 3
2025-08-14T20:56:26.6376140Z         >>> output = ...
2025-08-14T20:56:26.6376270Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-08-14T20:56:26.6376310Z         >>> output
2025-08-14T20:56:26.6376400Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-08-14T20:56:26.6376500Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-08-14T20:56:26.6376590Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-08-14T20:56:26.6376690Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-08-14T20:56:26.6376730Z     
2025-08-14T20:56:26.6376770Z     
2025-08-14T20:56:26.6376870Z         >>> # Another example with tensors of torch.cfloat type.
2025-08-14T20:56:26.6376930Z         >>> input = torch.tensor(
2025-08-14T20:56:26.6377020Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-14T20:56:26.6377070Z         ... ) + 4 * rank * (1 + 1j)
2025-08-14T20:56:26.6377110Z         >>> input
2025-08-14T20:56:26.6377220Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-08-14T20:56:26.6377320Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-08-14T20:56:26.6377430Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-08-14T20:56:26.6377540Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-08-14T20:56:26.6377620Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-08-14T20:56:26.6377760Z         >>> dist.all_to_all_single(output, input)
2025-08-14T20:56:26.6377810Z         >>> output
2025-08-14T20:56:26.6377920Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-08-14T20:56:26.6378020Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-08-14T20:56:26.6378130Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-08-14T20:56:26.6378230Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-08-14T20:56:26.6378270Z     
2025-08-14T20:56:26.6378420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6378450Z     
2025-08-14T20:56:26.6378500Z       warnings.warn(msg)
2025-08-14T20:56:26.6378550Z     
2025-08-14T20:56:26.6378670Z --- Parse Warning: 54 / 146 ---
2025-08-14T20:56:26.6379360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4642.
2025-08-14T20:56:26.6379650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6379690Z     
2025-08-14T20:56:26.6379910Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-08-14T20:56:26.6379950Z     
2025-08-14T20:56:26.6380010Z     Complex tensors are supported.
2025-08-14T20:56:26.6380050Z     
2025-08-14T20:56:26.6380090Z     Args:
2025-08-14T20:56:26.6380220Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-08-14T20:56:26.6380260Z             per rank.
2025-08-14T20:56:26.6380400Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-08-14T20:56:26.6380540Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6380660Z             the default process group will be used.
2025-08-14T20:56:26.6380780Z         async_op (bool, optional): Whether this op should be an async op.
2025-08-14T20:56:26.6380820Z     
2025-08-14T20:56:26.6380860Z     Returns:
2025-08-14T20:56:26.6380940Z         Async work handle, if async_op is set to True.
2025-08-14T20:56:26.6381030Z         None, if not async_op or if not part of the group.
2025-08-14T20:56:26.6381070Z     
2025-08-14T20:56:26.6381110Z     .. warning::
2025-08-14T20:56:26.6381200Z         `all_to_all` is experimental and subject to change.
2025-08-14T20:56:26.6381240Z     
2025-08-14T20:56:26.6381280Z     Examples:
2025-08-14T20:56:26.6381350Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-08-14T20:56:26.6381420Z         >>> input = torch.arange(4) + rank * 4
2025-08-14T20:56:26.6381480Z         >>> input = list(input.chunk(4))
2025-08-14T20:56:26.6381520Z         >>> input
2025-08-14T20:56:26.6381630Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-08-14T20:56:26.6381730Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-08-14T20:56:26.6381830Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-08-14T20:56:26.6381930Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-08-14T20:56:26.6382040Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-14T20:56:26.6382100Z         >>> dist.all_to_all(output, input)
2025-08-14T20:56:26.6382140Z         >>> output
2025-08-14T20:56:26.6382240Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-08-14T20:56:26.6382340Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-08-14T20:56:26.6382440Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-08-14T20:56:26.6382540Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-08-14T20:56:26.6382580Z     
2025-08-14T20:56:26.6382760Z         >>> # Essentially, it is similar to following operation:
2025-08-14T20:56:26.6382820Z         >>> scatter_list = input
2025-08-14T20:56:26.6382880Z         >>> gather_list = output
2025-08-14T20:56:26.6382940Z         >>> for i in range(world_size):
2025-08-14T20:56:26.6383070Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-08-14T20:56:26.6383110Z     
2025-08-14T20:56:26.6383150Z         >>> input
2025-08-14T20:56:26.6383250Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-08-14T20:56:26.6383340Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-08-14T20:56:26.6383440Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-08-14T20:56:26.6383530Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-08-14T20:56:26.6383580Z         >>> input_splits
2025-08-14T20:56:26.6383660Z         [2, 2, 1, 1]                                                     # Rank 0
2025-08-14T20:56:26.6383730Z         [3, 2, 2, 2]                                                     # Rank 1
2025-08-14T20:56:26.6383940Z         [2, 1, 1, 1]                                                     # Rank 2
2025-08-14T20:56:26.6384020Z         [2, 2, 2, 1]                                                     # Rank 3
2025-08-14T20:56:26.6384070Z         >>> output_splits
2025-08-14T20:56:26.6384140Z         [2, 3, 2, 2]                                                     # Rank 0
2025-08-14T20:56:26.6384220Z         [2, 2, 1, 2]                                                     # Rank 1
2025-08-14T20:56:26.6384290Z         [1, 2, 1, 2]                                                     # Rank 2
2025-08-14T20:56:26.6384370Z         [1, 2, 1, 1]                                                     # Rank 3
2025-08-14T20:56:26.6384440Z         >>> input = list(input.split(input_splits))
2025-08-14T20:56:26.6384490Z         >>> input
2025-08-14T20:56:26.6384650Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-08-14T20:56:26.6384780Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-08-14T20:56:26.6384900Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-08-14T20:56:26.6385020Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-08-14T20:56:26.6385070Z         >>> output = ...
2025-08-14T20:56:26.6385130Z         >>> dist.all_to_all(output, input)
2025-08-14T20:56:26.6385180Z         >>> output
2025-08-14T20:56:26.6385290Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-08-14T20:56:26.6385410Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-08-14T20:56:26.6385540Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-08-14T20:56:26.6385660Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-08-14T20:56:26.6385700Z     
2025-08-14T20:56:26.6385800Z         >>> # Another example with tensors of torch.cfloat type.
2025-08-14T20:56:26.6385850Z         >>> input = torch.tensor(
2025-08-14T20:56:26.6385940Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-08-14T20:56:26.6386000Z         ... ) + 4 * rank * (1 + 1j)
2025-08-14T20:56:26.6386060Z         >>> input = list(input.chunk(4))
2025-08-14T20:56:26.6386100Z         >>> input
2025-08-14T20:56:26.6386230Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-08-14T20:56:26.6386350Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-08-14T20:56:26.6386480Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-08-14T20:56:26.6386690Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-08-14T20:56:26.6386810Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-08-14T20:56:26.6386880Z         >>> dist.all_to_all(output, input)
2025-08-14T20:56:26.6386920Z         >>> output
2025-08-14T20:56:26.6387050Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-08-14T20:56:26.6387170Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-08-14T20:56:26.6387300Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-08-14T20:56:26.6387420Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-08-14T20:56:26.6387460Z     
2025-08-14T20:56:26.6387500Z     
2025-08-14T20:56:26.6387650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6387690Z     
2025-08-14T20:56:26.6387740Z       warnings.warn(msg)
2025-08-14T20:56:26.6387780Z     
2025-08-14T20:56:26.6387900Z --- Parse Warning: 55 / 146 ---
2025-08-14T20:56:26.6388620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-08-14T20:56:26.6388770Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6388810Z     
2025-08-14T20:56:26.6388880Z     Module ``torch.distributed.launch``.
2025-08-14T20:56:26.6388920Z     
2025-08-14T20:56:26.6389070Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-08-14T20:56:26.6389160Z     training processes on each of the training nodes.
2025-08-14T20:56:26.6389190Z     
2025-08-14T20:56:26.6389240Z     .. warning::
2025-08-14T20:56:26.6389280Z     
2025-08-14T20:56:26.6389430Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-08-14T20:56:26.6389530Z     
2025-08-14T20:56:26.6389680Z     The utility can be used for single-node distributed training, in which one or
2025-08-14T20:56:26.6389820Z     more processes per node will be spawned. The utility can be used for either
2025-08-14T20:56:26.6389950Z     CPU training or GPU training. If the utility is used for GPU training,
2025-08-14T20:56:26.6390090Z     each distributed process will be operating on a single GPU. This can achieve
2025-08-14T20:56:26.6390230Z     well-improved single-node training performance. It can also be used in
2025-08-14T20:56:26.6390390Z     multi-node distributed training, by spawning up multiple processes on each node
2025-08-14T20:56:26.6390530Z     for well-improved multi-node distributed training performance as well.
2025-08-14T20:56:26.6390660Z     This will especially be beneficial for systems with multiple Infiniband
2025-08-14T20:56:26.6390810Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-08-14T20:56:26.6390880Z     aggregated communication bandwidth.
2025-08-14T20:56:26.6390920Z     
2025-08-14T20:56:26.6391060Z     In both cases of single-node distributed training or multi-node distributed
2025-08-14T20:56:26.6391200Z     training, this utility will launch the given number of processes per node
2025-08-14T20:56:26.6391340Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-08-14T20:56:26.6391470Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-08-14T20:56:26.6391590Z     and each process will be operating on a single GPU from *GPU 0 to
2025-08-14T20:56:26.6391650Z     GPU (nproc_per_node - 1)*.
2025-08-14T20:56:26.6391690Z     
2025-08-14T20:56:26.6391750Z     **How to use this module:**
2025-08-14T20:56:26.6391790Z     
2025-08-14T20:56:26.6391880Z     1. Single-Node multi-process distributed training
2025-08-14T20:56:26.6391980Z     
2025-08-14T20:56:26.6392030Z     ::
2025-08-14T20:56:26.6392070Z     
2025-08-14T20:56:26.6392220Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:26.6392340Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-08-14T20:56:26.6392410Z                    arguments of your training script)
2025-08-14T20:56:26.6392450Z     
2025-08-14T20:56:26.6392580Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-08-14T20:56:26.6392620Z     
2025-08-14T20:56:26.6392660Z     
2025-08-14T20:56:26.6392740Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-08-14T20:56:26.6392790Z     
2025-08-14T20:56:26.6392820Z     ::
2025-08-14T20:56:26.6392860Z     
2025-08-14T20:56:26.6393000Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:26.6393110Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-08-14T20:56:26.6393240Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-14T20:56:26.6393330Z                    and all other arguments of your training script)
2025-08-14T20:56:26.6393460Z     
2025-08-14T20:56:26.6393500Z     Node 2:
2025-08-14T20:56:26.6393540Z     
2025-08-14T20:56:26.6393580Z     ::
2025-08-14T20:56:26.6393620Z     
2025-08-14T20:56:26.6393760Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-08-14T20:56:26.6393860Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-08-14T20:56:26.6393980Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-08-14T20:56:26.6394080Z                    and all other arguments of your training script)
2025-08-14T20:56:26.6394120Z     
2025-08-14T20:56:26.6394220Z     3. To look up what optional arguments this module offers:
2025-08-14T20:56:26.6394250Z     
2025-08-14T20:56:26.6394290Z     ::
2025-08-14T20:56:26.6394330Z     
2025-08-14T20:56:26.6394410Z         python -m torch.distributed.launch --help
2025-08-14T20:56:26.6394500Z     
2025-08-14T20:56:26.6394540Z     
2025-08-14T20:56:26.6394600Z     **Important Notices:**
2025-08-14T20:56:26.6394640Z     
2025-08-14T20:56:26.6394750Z     1. This utility and multi-process distributed (single-node or
2025-08-14T20:56:26.6394900Z     multi-node) GPU training currently only achieves the best performance using
2025-08-14T20:56:26.6395050Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-08-14T20:56:26.6395100Z     use for GPU training.
2025-08-14T20:56:26.6395140Z     
2025-08-14T20:56:26.6395270Z     2. In your training program, you must parse the command-line argument:
2025-08-14T20:56:26.6395410Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-08-14T20:56:26.6395550Z     If your training program uses GPUs, you should ensure that your code only
2025-08-14T20:56:26.6395670Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-08-14T20:56:26.6395710Z     
2025-08-14T20:56:26.6395780Z     Parsing the local_rank argument
2025-08-14T20:56:26.6395820Z     
2025-08-14T20:56:26.6395860Z     ::
2025-08-14T20:56:26.6395900Z     
2025-08-14T20:56:26.6395950Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6396010Z         >>> import argparse
2025-08-14T20:56:26.6396080Z         >>> parser = argparse.ArgumentParser()
2025-08-14T20:56:26.6396210Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-08-14T20:56:26.6396270Z         >>> args = parser.parse_args()
2025-08-14T20:56:26.6396310Z     
2025-08-14T20:56:26.6396380Z     Set your device to local rank using either
2025-08-14T20:56:26.6396420Z     
2025-08-14T20:56:26.6396460Z     ::
2025-08-14T20:56:26.6396500Z     
2025-08-14T20:56:26.6396630Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-08-14T20:56:26.6396670Z     
2025-08-14T20:56:26.6396710Z     or
2025-08-14T20:56:26.6396740Z     
2025-08-14T20:56:26.6396890Z     ::
2025-08-14T20:56:26.6396920Z     
2025-08-14T20:56:26.6397010Z         >>> with torch.cuda.device(args.local_rank):
2025-08-14T20:56:26.6397060Z         >>>    # your code to run
2025-08-14T20:56:26.6397100Z         >>>    ...
2025-08-14T20:56:26.6397140Z     
2025-08-14T20:56:26.6397200Z     .. versionchanged:: 2.0.0
2025-08-14T20:56:26.6397240Z     
2025-08-14T20:56:26.6397390Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-08-14T20:56:26.6397530Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-08-14T20:56:26.6397620Z         previously used underscored ``--local_rank``.
2025-08-14T20:56:26.6397660Z     
2025-08-14T20:56:26.6397800Z         For backward compatibility, it may be necessary for users to handle both
2025-08-14T20:56:26.6397960Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-08-14T20:56:26.6398090Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-08-14T20:56:26.6398240Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-08-14T20:56:26.6398520Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-08-14T20:56:26.6398620Z         including ``"--local-rank"`` should be sufficient.
2025-08-14T20:56:26.6398660Z     
2025-08-14T20:56:26.6398800Z     3. In your training program, you are supposed to call the following function
2025-08-14T20:56:26.6398950Z     at the beginning to start the distributed backend. It is strongly recommended
2025-08-14T20:56:26.6399090Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-08-14T20:56:26.6399210Z     but ``env://`` is the one that is officially supported by this module.
2025-08-14T20:56:26.6399480Z     
2025-08-14T20:56:26.6399580Z     ::
2025-08-14T20:56:26.6399700Z     
2025-08-14T20:56:26.6399890Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-08-14T20:56:26.6400180Z         >>>                                      init_method='env://')
2025-08-14T20:56:26.6400430Z     
2025-08-14T20:56:26.6400640Z     4. In your training program, you can either use regular distributed functions
2025-08-14T20:56:26.6401010Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-08-14T20:56:26.6401360Z     training program uses GPUs for training and you would like to use
2025-08-14T20:56:26.6401680Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-08-14T20:56:26.6401940Z     here is how to configure it.
2025-08-14T20:56:26.6402110Z     
2025-08-14T20:56:26.6402210Z     ::
2025-08-14T20:56:26.6402310Z     
2025-08-14T20:56:26.6402500Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-08-14T20:56:26.6402790Z         >>>                                                   device_ids=[args.local_rank],
2025-08-14T20:56:26.6403060Z         >>>                                                   output_device=args.local_rank)
2025-08-14T20:56:26.6403270Z     
2025-08-14T20:56:26.6403490Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-08-14T20:56:26.6403860Z     that your code will be operating on. This is generally the local rank of the
2025-08-14T20:56:26.6404220Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-08-14T20:56:26.6410030Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-08-14T20:56:26.6410320Z     utility
2025-08-14T20:56:26.6410430Z     
2025-08-14T20:56:26.6410640Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-08-14T20:56:26.6411010Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-08-14T20:56:26.6411360Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-08-14T20:56:26.6411690Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-08-14T20:56:26.6412120Z     will not pass ``--local-rank`` when you specify this flag.
2025-08-14T20:56:26.6412400Z     
2025-08-14T20:56:26.6412520Z     .. warning::
2025-08-14T20:56:26.6412650Z     
2025-08-14T20:56:26.6412840Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-08-14T20:56:26.6413150Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-08-14T20:56:26.6413410Z         write to a networked filesystem.  See
2025-08-14T20:56:26.6413700Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-08-14T20:56:26.6414010Z         how things can go wrong if you don't do this correctly.
2025-08-14T20:56:26.6414220Z     
2025-08-14T20:56:26.6414330Z     
2025-08-14T20:56:26.6414430Z     
2025-08-14T20:56:26.6414530Z     
2025-08-14T20:56:26.6414750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6415010Z     
2025-08-14T20:56:26.6415130Z       warnings.warn(msg)
2025-08-14T20:56:26.6415270Z     
2025-08-14T20:56:26.6415480Z --- Parse Warning: 56 / 146 ---
2025-08-14T20:56:26.6416360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=722.
2025-08-14T20:56:26.6417440Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.6417690Z     
2025-08-14T20:56:26.6417930Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-08-14T20:56:26.6418310Z     The submesh created consists of the dimensions and the communicators indicated by
2025-08-14T20:56:26.6418590Z     ``mesh_dim_names``
2025-08-14T20:56:26.6418720Z     
2025-08-14T20:56:26.6418820Z     Args:
2025-08-14T20:56:26.6419030Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-08-14T20:56:26.6419400Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-08-14T20:56:26.6419620Z     Returns:
2025-08-14T20:56:26.6419760Z         A :class:`DeviceMesh` object
2025-08-14T20:56:26.6419920Z     
2025-08-14T20:56:26.6420160Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-08-14T20:56:26.6420460Z     In the first example:
2025-08-14T20:56:26.6420730Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-08-14T20:56:26.6421100Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-08-14T20:56:26.6421460Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-08-14T20:56:26.6421800Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-08-14T20:56:26.6422150Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-08-14T20:56:26.6422490Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-08-14T20:56:26.6422730Z     
2025-08-14T20:56:26.6422850Z     In the second example:
2025-08-14T20:56:26.6423130Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-08-14T20:56:26.6423530Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-08-14T20:56:26.6423920Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-08-14T20:56:26.6424310Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-08-14T20:56:26.6424580Z     
2025-08-14T20:56:26.6424680Z     Example::
2025-08-14T20:56:26.6424800Z     
2025-08-14T20:56:26.6424930Z         >>> # xdoctest: +SKIP("no rank")
2025-08-14T20:56:26.6425260Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-08-14T20:56:26.6425480Z         >>>
2025-08-14T20:56:26.6425690Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-08-14T20:56:26.6425980Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-08-14T20:56:26.6426300Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T20:56:26.6426580Z         >>> tp_mesh = mesh_2d["tp"]
2025-08-14T20:56:26.6426760Z         >>> dp_mesh = mesh_2d["dp"]
2025-08-14T20:56:26.6426920Z         >>>
2025-08-14T20:56:26.6427040Z         >>> # Initialize a 3D mesh.
2025-08-14T20:56:26.6427340Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-08-14T20:56:26.6427770Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-08-14T20:56:26.6428090Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-08-14T20:56:26.6428300Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-08-14T20:56:26.6428480Z     
2025-08-14T20:56:26.6428930Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-08-14T20:56:26.6429490Z     
2025-08-14T20:56:26.6429700Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-08-14T20:56:26.6430000Z                                                                                      ^
2025-08-14T20:56:26.6430200Z       warnings.warn(msg)
2025-08-14T20:56:26.6430340Z     
2025-08-14T20:56:26.6430510Z --- Parse Warning: 57 / 146 ---
2025-08-14T20:56:26.6431400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-08-14T20:56:26.6432420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6432690Z     
2025-08-14T20:56:26.6432930Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-08-14T20:56:26.6433320Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-08-14T20:56:26.6433570Z     
2025-08-14T20:56:26.6433720Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-08-14T20:56:26.6433930Z     
2025-08-14T20:56:26.6434030Z     .. warning::
2025-08-14T20:56:26.6434220Z         Current implementation only supports loading Tensors.
2025-08-14T20:56:26.6434430Z     
2025-08-14T20:56:26.6434560Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6434740Z     >>> sd = {"mode": model}
2025-08-14T20:56:26.6434900Z     >>> dcp.load(
2025-08-14T20:56:26.6435020Z     >>>    sd,
2025-08-14T20:56:26.6435200Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-14T20:56:26.6435440Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-08-14T20:56:26.6435660Z     >>>    checkpoint_id="path_to_model.pt"
2025-08-14T20:56:26.6435830Z     >>> )
2025-08-14T20:56:26.6435940Z     
2025-08-14T20:56:26.6436150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6436410Z     
2025-08-14T20:56:26.6436510Z       warnings.warn(msg)
2025-08-14T20:56:26.6436650Z     
2025-08-14T20:56:26.6436810Z --- Parse Warning: 58 / 146 ---
2025-08-14T20:56:26.6437680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-08-14T20:56:26.6438620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6438950Z     
2025-08-14T20:56:26.6439250Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-08-14T20:56:26.6439730Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-08-14T20:56:26.6440050Z     metadata file, like Torch Save files.
2025-08-14T20:56:26.6440230Z     
2025-08-14T20:56:26.6440400Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-08-14T20:56:26.6440620Z     
2025-08-14T20:56:26.6440720Z     .. warning::
2025-08-14T20:56:26.6440910Z         Current implementation only supports loading Tensors.
2025-08-14T20:56:26.6441120Z     
2025-08-14T20:56:26.6441250Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6441440Z     >>> sd = {"mode": model}
2025-08-14T20:56:26.6441600Z     >>> dcp.load(
2025-08-14T20:56:26.6441730Z     >>>    sd,
2025-08-14T20:56:26.6441890Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-08-14T20:56:26.6442120Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-08-14T20:56:26.6442330Z     >>>    checkpoint_id="path_to_model.pt"
2025-08-14T20:56:26.6442580Z     >>> )
2025-08-14T20:56:26.6442690Z     
2025-08-14T20:56:26.6442900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6443150Z     
2025-08-14T20:56:26.6443260Z       warnings.warn(msg)
2025-08-14T20:56:26.6443400Z     
2025-08-14T20:56:26.6443560Z --- Parse Warning: 59 / 146 ---
2025-08-14T20:56:26.6444390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-08-14T20:56:26.6445280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6445560Z     
2025-08-14T20:56:26.6445800Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-08-14T20:56:26.6446120Z     
2025-08-14T20:56:26.6446360Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-08-14T20:56:26.6446640Z     
2025-08-14T20:56:26.6446860Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T20:56:26.6447150Z     will be visible to the whole process.
2025-08-14T20:56:26.6447330Z     
2025-08-14T20:56:26.6447550Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-08-14T20:56:26.6447830Z     
2025-08-14T20:56:26.6447950Z     1) set_up_planner - called on all ranks.
2025-08-14T20:56:26.6448170Z         Signals the start of a checkpoint save.
2025-08-14T20:56:26.6448350Z     
2025-08-14T20:56:26.6448480Z     2) create_local_plan - called on all ranks.
2025-08-14T20:56:26.6448800Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-08-14T20:56:26.6449070Z     
2025-08-14T20:56:26.6449250Z     3) create_global_plan - called on the coordinator rank only.
2025-08-14T20:56:26.6449560Z         Takes the SavePlan from all ranks and make any global decision.
2025-08-14T20:56:26.6449790Z     
2025-08-14T20:56:26.6449910Z     4) finish_plan - called on all ranks.
2025-08-14T20:56:26.6450180Z         This gives each rank a chance to adjust to global planning decisions.
2025-08-14T20:56:26.6450420Z     
2025-08-14T20:56:26.6450570Z     5) resolve_data - called multiple times on each rank
2025-08-14T20:56:26.6450860Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-08-14T20:56:26.6451080Z     
2025-08-14T20:56:26.6451320Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-08-14T20:56:26.6451680Z     most changes can be expressed by changes in a single method.
2025-08-14T20:56:26.6451900Z     
2025-08-14T20:56:26.6452090Z     There are 3 usual patterns of extension:
2025-08-14T20:56:26.6452280Z     
2025-08-14T20:56:26.6452500Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-08-14T20:56:26.6452850Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-08-14T20:56:26.6453100Z     
2025-08-14T20:56:26.6453220Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6453440Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-08-14T20:56:26.6453640Z     >>>     def set_up_planner(
2025-08-14T20:56:26.6453790Z     >>>         self,
2025-08-14T20:56:26.6453950Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T20:56:26.6454160Z     >>>         storage_meta: Optional[StorageMeta],
2025-08-14T20:56:26.6454360Z     >>>         is_coordinator: bool,
2025-08-14T20:56:26.6454530Z     >>>     ) -> None:
2025-08-14T20:56:26.6454680Z     >>> # prefix all keys with `foo_``
2025-08-14T20:56:26.6454990Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-08-14T20:56:26.6455270Z     
2025-08-14T20:56:26.6455530Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-08-14T20:56:26.6455900Z     
2025-08-14T20:56:26.6456020Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6456230Z     >>> class FP16Planner(DefaultSavePlanner):
2025-08-14T20:56:26.6456440Z     >>>     def create_local_plan(self):
2025-08-14T20:56:26.6456640Z     >>>         plan = super().create_local_plan()
2025-08-14T20:56:26.6456840Z     >>>         for p in plan:
2025-08-14T20:56:26.6457020Z     >>>             if p.tensor_data is not None:
2025-08-14T20:56:26.6457260Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-08-14T20:56:26.6457480Z     >>>         return plan
2025-08-14T20:56:26.6457620Z     >>>
2025-08-14T20:56:26.6457750Z     >>>     def resolve_data(self, write_item):
2025-08-14T20:56:26.6457970Z     >>>         item = super().resolve_data(write_item)
2025-08-14T20:56:26.6458310Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-08-14T20:56:26.6458580Z     
2025-08-14T20:56:26.6458850Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-08-14T20:56:26.6459150Z     
2025-08-14T20:56:26.6459270Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6459470Z     >>> from itertools import zip_longest
2025-08-14T20:56:26.6459670Z     >>> from dataclasses import replace
2025-08-14T20:56:26.6459900Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-08-14T20:56:26.6460230Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-08-14T20:56:26.6460540Z     >>> # This sample doesn't handle ShardedTensors
2025-08-14T20:56:26.6460760Z     >>>     def create_global_plan(self, all_plans):
2025-08-14T20:56:26.6461000Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-08-14T20:56:26.6461220Z     >>>         items_per_rank = [
2025-08-14T20:56:26.6461430Z     >>>             [item for item in items if item is not None]
2025-08-14T20:56:26.6461680Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-08-14T20:56:26.6461880Z     >>>         ]
2025-08-14T20:56:26.6462020Z     >>>         all_plans = [
2025-08-14T20:56:26.6462200Z     >>>             replace(plan, items=items)
2025-08-14T20:56:26.6462450Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-08-14T20:56:26.6462680Z     >>>         ]
2025-08-14T20:56:26.6462850Z     >>>         return super().create_global_plan(all_plans)
2025-08-14T20:56:26.6463040Z     
2025-08-14T20:56:26.6463260Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-08-14T20:56:26.6463640Z     accomplished by having each rank contribute their data items in the local plan and
2025-08-14T20:56:26.6463970Z     the global planner aggregate them:
2025-08-14T20:56:26.6464150Z     
2025-08-14T20:56:26.6464270Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6464510Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-08-14T20:56:26.6464740Z     >>>     def create_local_plan(self) -> SavePlan:
2025-08-14T20:56:26.6464960Z     >>>         plan = super().create_local_plan()
2025-08-14T20:56:26.6465210Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-08-14T20:56:26.6465410Z     >>>
2025-08-14T20:56:26.6465660Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-08-14T20:56:26.6466020Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-08-14T20:56:26.6466310Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-08-14T20:56:26.6466580Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-08-14T20:56:26.6466810Z     >>>         return global_plan, metadata
2025-08-14T20:56:26.6466990Z     
2025-08-14T20:56:26.6467210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6467520Z     
2025-08-14T20:56:26.6467630Z       warnings.warn(msg)
2025-08-14T20:56:26.6467770Z     
2025-08-14T20:56:26.6467930Z --- Parse Warning: 60 / 146 ---
2025-08-14T20:56:26.6468760Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-08-14T20:56:26.6469660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6469920Z     
2025-08-14T20:56:26.6470150Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-08-14T20:56:26.6470430Z     
2025-08-14T20:56:26.6470660Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-08-14T20:56:26.6470960Z     
2025-08-14T20:56:26.6471190Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-08-14T20:56:26.6471490Z     will be visible to the whole process.
2025-08-14T20:56:26.6471670Z     
2025-08-14T20:56:26.6471890Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-08-14T20:56:26.6472170Z     
2025-08-14T20:56:26.6472290Z     1) set_up_planner - called on all ranks.
2025-08-14T20:56:26.6472510Z         Signals the start of loading a checkpoint.
2025-08-14T20:56:26.6472700Z     
2025-08-14T20:56:26.6472840Z     2) create_local_plan - called on all ranks.
2025-08-14T20:56:26.6473150Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-08-14T20:56:26.6473420Z     
2025-08-14T20:56:26.6473590Z     3) create_global_plan - called on the coordinator rank only.
2025-08-14T20:56:26.6473890Z         Takes the LoadPlan from all ranks and make any global decision.
2025-08-14T20:56:26.6474130Z     
2025-08-14T20:56:26.6474270Z     4) load_bytes - called multiple times on each rank
2025-08-14T20:56:26.6474530Z         This is called once per non-tensor value in state_dict.
2025-08-14T20:56:26.6474740Z     
2025-08-14T20:56:26.6474940Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-08-14T20:56:26.6475250Z         They are called in pair for each Tensor value in state_dict.
2025-08-14T20:56:26.6479910Z     
2025-08-14T20:56:26.6480170Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-08-14T20:56:26.6480530Z     most changes can be expressed by changes in a single method.
2025-08-14T20:56:26.6480750Z     
2025-08-14T20:56:26.6480880Z     There are two usual patterns of extension:
2025-08-14T20:56:26.6481060Z     
2025-08-14T20:56:26.6481280Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-08-14T20:56:26.6481750Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-08-14T20:56:26.6482110Z     to keep a reference to the original state_dict as load happens in place so
2025-08-14T20:56:26.6482380Z     we need to be able to perform it in place
2025-08-14T20:56:26.6482570Z     
2025-08-14T20:56:26.6482700Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6482910Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-08-14T20:56:26.6483110Z     >>>     def set_up_planner(
2025-08-14T20:56:26.6483260Z     >>>         self,
2025-08-14T20:56:26.6483420Z     >>>         state_dict: STATE_DICT_TYPE,
2025-08-14T20:56:26.6483600Z     >>>         metadata: Metadata,
2025-08-14T20:56:26.6483780Z     >>>         is_coordinator: bool,
2025-08-14T20:56:26.6483950Z     >>>     ) -> None:
2025-08-14T20:56:26.6484120Z     >>>         self.original_state_dict = state_dict
2025-08-14T20:56:26.6484380Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-08-14T20:56:26.6484600Z     >>>
2025-08-14T20:56:26.6484730Z     >>>         if self.flatten_sharded_tensors:
2025-08-14T20:56:26.6485040Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-08-14T20:56:26.6485240Z     >>>
2025-08-14T20:56:26.6485360Z     >>>         if self.flatten_state_dict:
2025-08-14T20:56:26.6485610Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-08-14T20:56:26.6485830Z     >>>
2025-08-14T20:56:26.6485960Z     >>>         self.state_dict = state_dict
2025-08-14T20:56:26.6486150Z     >>>         self.metadata = metadata
2025-08-14T20:56:26.6486360Z     >>>         self.is_coordinator = is_coordinator
2025-08-14T20:56:26.6486540Z     >>>
2025-08-14T20:56:26.6486670Z     >>>     def load_bytes(self, read_item, value):
2025-08-14T20:56:26.6486870Z     >>> # Remove the "foo_" prefix
2025-08-14T20:56:26.6487190Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-08-14T20:56:26.6487490Z     
2025-08-14T20:56:26.6487630Z     
2025-08-14T20:56:26.6487840Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-08-14T20:56:26.6488110Z     
2025-08-14T20:56:26.6488240Z     >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6488470Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-08-14T20:56:26.6488710Z     >>>     def resolve_tensor(self, read_item):
2025-08-14T20:56:26.6488930Z     >>>         tensor = super().resolve_tensor(read_item)
2025-08-14T20:56:26.6489170Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-08-14T20:56:26.6489370Z     >>>
2025-08-14T20:56:26.6489510Z     >>>     def commit_tensor(self, read_item, tensor):
2025-08-14T20:56:26.6489760Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-08-14T20:56:26.6489960Z     
2025-08-14T20:56:26.6490170Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6490420Z     
2025-08-14T20:56:26.6490540Z       warnings.warn(msg)
2025-08-14T20:56:26.6490680Z     
2025-08-14T20:56:26.6490870Z --- Parse Warning: 61 / 146 ---
2025-08-14T20:56:26.6491710Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-08-14T20:56:26.6492620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6492880Z     
2025-08-14T20:56:26.6493040Z     Return the model state_dict and optimizers state_dict.
2025-08-14T20:56:26.6493240Z     
2025-08-14T20:56:26.6493440Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-08-14T20:56:26.6493800Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-08-14T20:56:26.6494200Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-08-14T20:56:26.6494550Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-08-14T20:56:26.6494880Z     with a different number of trainers and/or different parallelisms.
2025-08-14T20:56:26.6495220Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-08-14T20:56:26.6495490Z     these APIs.
2025-08-14T20:56:26.6495640Z     3.) sanity checking the result state_dict.
2025-08-14T20:56:26.6495830Z     
2025-08-14T20:56:26.6496010Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-08-14T20:56:26.6496350Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-08-14T20:56:26.6496700Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-08-14T20:56:26.6497030Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-08-14T20:56:26.6497350Z     ``module.named_buffers()`` when the module is not distributed by any
2025-08-14T20:56:26.6497700Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-08-14T20:56:26.6498110Z     a parameter, there will be a conversion from the parameter IDs to the
2025-08-14T20:56:26.6498370Z     canonical FQNs when calling this API.
2025-08-14T20:56:26.6498550Z     
2025-08-14T20:56:26.6498750Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-08-14T20:56:26.6499080Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-08-14T20:56:26.6499360Z     optimizer parameter IDs to the canonical FQNs.
2025-08-14T20:56:26.6499550Z     
2025-08-14T20:56:26.6499650Z     Example:
2025-08-14T20:56:26.6499780Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6499940Z         >>> import torch
2025-08-14T20:56:26.6500180Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:26.6500510Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-14T20:56:26.6500870Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-08-14T20:56:26.6501110Z     
2025-08-14T20:56:26.6501240Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-08-14T20:56:26.6501500Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-14T20:56:26.6501750Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-08-14T20:56:26.6502000Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-08-14T20:56:26.6502220Z     
2025-08-14T20:56:26.6502320Z     
2025-08-14T20:56:26.6502520Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-08-14T20:56:26.6502840Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-08-14T20:56:26.6503070Z         ...     fsdp_model, fsdp_optim
2025-08-14T20:56:26.6503250Z         ... )
2025-08-14T20:56:26.6503360Z     
2025-08-14T20:56:26.6503550Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-08-14T20:56:26.6503810Z         >>> # the asserts will fail.
2025-08-14T20:56:26.6504020Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-08-14T20:56:26.6504250Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-08-14T20:56:26.6504450Z     
2025-08-14T20:56:26.6504550Z     
2025-08-14T20:56:26.6504650Z     Args:
2025-08-14T20:56:26.6504800Z         model (nn.Module): the nn.Module to the model.
2025-08-14T20:56:26.6505060Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-08-14T20:56:26.6505340Z             The optimizers that are used to optimize ``model``.
2025-08-14T20:56:26.6505670Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-08-14T20:56:26.6505970Z             that belong to the submodules.
2025-08-14T20:56:26.6506210Z         options (StateDictOptions): the options to control how
2025-08-14T20:56:26.6506560Z             model state_dict and optimizer state_dict should be returned. See
2025-08-14T20:56:26.6506830Z             `StateDictOptions` for the details.
2025-08-14T20:56:26.6507020Z     
2025-08-14T20:56:26.6507120Z     Returns:
2025-08-14T20:56:26.6507310Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-08-14T20:56:26.6507540Z     
2025-08-14T20:56:26.6507730Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-08-14T20:56:26.6507970Z     
2025-08-14T20:56:26.6508180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6508440Z     
2025-08-14T20:56:26.6508550Z       warnings.warn(msg)
2025-08-14T20:56:26.6508690Z     
2025-08-14T20:56:26.6508850Z --- Parse Warning: 62 / 146 ---
2025-08-14T20:56:26.6509680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-08-14T20:56:26.6510660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6510920Z     
2025-08-14T20:56:26.6511050Z     Save a distributed model in SPMD style.
2025-08-14T20:56:26.6511230Z     
2025-08-14T20:56:26.6511400Z     This function is different from ``torch.save()`` as it handles
2025-08-14T20:56:26.6511740Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-08-14T20:56:26.6512000Z     
2025-08-14T20:56:26.6512220Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-14T20:56:26.6512530Z     save will call ``state_dict`` before serialization.
2025-08-14T20:56:26.6512730Z     
2025-08-14T20:56:26.6512840Z     .. warning::
2025-08-14T20:56:26.6513060Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-08-14T20:56:26.6513330Z         for saved state_dicts.
2025-08-14T20:56:26.6513510Z     
2025-08-14T20:56:26.6513610Z     .. warning::
2025-08-14T20:56:26.6513820Z         If using the `process_group` argument, make sure that only its ranks
2025-08-14T20:56:26.6514140Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-08-14T20:56:26.6514370Z     
2025-08-14T20:56:26.6514470Z     .. note::
2025-08-14T20:56:26.6514710Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-08-14T20:56:26.6515080Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-08-14T20:56:26.6515370Z         group needs to be passed in.
2025-08-14T20:56:26.6515530Z     
2025-08-14T20:56:26.6515630Z     .. note::
2025-08-14T20:56:26.6515870Z         If no process group is available, this function assumes the intention is to save the
2025-08-14T20:56:26.6516160Z          state_dict in the local process.
2025-08-14T20:56:26.6516340Z     
2025-08-14T20:56:26.6516440Z     .. note:
2025-08-14T20:56:26.6516600Z         Rank 0 is assumed to be the coordinator rank.
2025-08-14T20:56:26.6516800Z     
2025-08-14T20:56:26.6516890Z     
2025-08-14T20:56:26.6516990Z     Args:
2025-08-14T20:56:26.6517150Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-08-14T20:56:26.6517400Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:26.6517700Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:26.6518020Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:26.6518320Z             It can also be a key if the storage is a key-value store.
2025-08-14T20:56:26.6518550Z             (Default: ``None``)
2025-08-14T20:56:26.6518730Z         storage_writer (Optional[StorageWriter]):
2025-08-14T20:56:26.6519010Z             Instance of StorageWriter used to perform writes. If this is not
2025-08-14T20:56:26.6519370Z             specified, DCP will automatically infer the writer based on the
2025-08-14T20:56:26.6519690Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:26.6519940Z             be raised. (Default: ``None``)
2025-08-14T20:56:26.6520140Z         planner (Optional[SavePlanner]):
2025-08-14T20:56:26.6520390Z             Instance of SavePlanner. If this is not specified, the default
2025-08-14T20:56:26.6520650Z             planner will be used. (Default: ``None``)
2025-08-14T20:56:26.6520870Z         process_group (Optional[ProcessGroup]):
2025-08-14T20:56:26.6521130Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:26.6521360Z             (Default: ``None``)
2025-08-14T20:56:26.6521520Z         no_dist (bool):
2025-08-14T20:56:26.6521720Z             If ``True``, this function will assume the intent is to load
2025-08-14T20:56:26.6521960Z             a checkpoint on a single rank/process.
2025-08-14T20:56:26.6522160Z             (Default: ``False``)
2025-08-14T20:56:26.6522440Z         use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-08-14T20:56:26.6522830Z             a checkpoint without using cross-rank synchronization.
2025-08-14T20:56:26.6523050Z             (Default: ``True``)
2025-08-14T20:56:26.6523300Z             This configuration is experimental and should be used with caution.
2025-08-14T20:56:26.6523660Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-14T20:56:26.6523930Z     
2025-08-14T20:56:26.6524030Z     Returns:
2025-08-14T20:56:26.6524210Z         Metadata: Metadata object for the saved checkpoint.
2025-08-14T20:56:26.6524420Z     
2025-08-14T20:56:26.6524520Z     Example:
2025-08-14T20:56:26.6524650Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6524820Z         >>> my_model = MyModule()
2025-08-14T20:56:26.6524980Z     
2025-08-14T20:56:26.6525100Z         >>> state_dict = {"model": my_model}
2025-08-14T20:56:26.6525270Z     
2025-08-14T20:56:26.6525480Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-14T20:56:26.6525770Z         ...     "/checkpoint/1"
2025-08-14T20:56:26.6525920Z         ... )
2025-08-14T20:56:26.6526080Z         >>> torch.distributed.checkpoint.save(
2025-08-14T20:56:26.6526280Z         >>>     state_dict=state_dict,
2025-08-14T20:56:26.6526470Z         >>>     storage_writer=fs_storage_writer,
2025-08-14T20:56:26.6526650Z         >>> )
2025-08-14T20:56:26.6526760Z     
2025-08-14T20:56:26.6526860Z     .. note::
2025-08-14T20:56:26.6527060Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-08-14T20:56:26.6527390Z         For NCCL-based process groups, internal tensor representations of
2025-08-14T20:56:26.6527720Z         objects must be moved to the GPU device before communication takes place.
2025-08-14T20:56:26.6528060Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-14T20:56:26.6528380Z         and it is the user's responsibility to ensure that this is set so that
2025-08-14T20:56:26.6528690Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-14T20:56:26.6528920Z     
2025-08-14T20:56:26.6529130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6529380Z     
2025-08-14T20:56:26.6529490Z       warnings.warn(msg)
2025-08-14T20:56:26.6529630Z     
2025-08-14T20:56:26.6529800Z --- Parse Warning: 63 / 146 ---
2025-08-14T20:56:26.6530640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-08-14T20:56:26.6531560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6531980Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-08-14T20:56:26.6532390Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-08-14T20:56:26.6532670Z     
2025-08-14T20:56:26.6532770Z         .. warning::
2025-08-14T20:56:26.6532960Z             This feature is experimental and subject to change.
2025-08-14T20:56:26.6533220Z             MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-08-14T20:56:26.6533410Z     
2025-08-14T20:56:26.6533510Z         Args:
2025-08-14T20:56:26.6533610Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-08-14T20:56:26.6533700Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:26.6533830Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:26.6533950Z                 depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:26.6534050Z                 It can also be a key if the storage is a key-value store.
2025-08-14T20:56:26.6534110Z                 (Default: ``None``)
2025-08-14T20:56:26.6534200Z             storage_writer (Optional[StorageWriter]):
2025-08-14T20:56:26.6534370Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-08-14T20:56:26.6534520Z                 this is not specified, DCP will automatically infer the writer based on the
2025-08-14T20:56:26.6534640Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:26.6534710Z                 be raised. (Default: ``None``)
2025-08-14T20:56:26.6534780Z             planner (Optional[SavePlanner]):
2025-08-14T20:56:26.6534900Z                 Instance of SavePlanner. If this is not specified, the default
2025-08-14T20:56:26.6534980Z                 planner will be used. (Default: ``None``)
2025-08-14T20:56:26.6535050Z             process_group (Optional[ProcessGroup]):
2025-08-14T20:56:26.6535160Z                 ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:26.6535220Z                 (Default: ``None``)
2025-08-14T20:56:26.6535350Z             async_checkpointer_type (AsyncCheckpointerType):
2025-08-14T20:56:26.6535450Z                 whether to do checkpoint in separate thread or process
2025-08-14T20:56:26.6535540Z                 (Default: ``AsyncCheckpointerType.THREAD``)
2025-08-14T20:56:26.6535600Z             async_stager (AsyncStager):
2025-08-14T20:56:26.6535760Z                 provides staging implementation. If storage_writer implements AsyncStager
2025-08-14T20:56:26.6535890Z                 and async_stager is provided, async_stager will be used for staging
2025-08-14T20:56:26.6535940Z             no_dist (bool):
2025-08-14T20:56:26.6536050Z                 If ``True``, this function will assume the intent is to save
2025-08-14T20:56:26.6536120Z                 a checkpoint on a single rank/process.
2025-08-14T20:56:26.6536180Z                 (Default: ``False``)
2025-08-14T20:56:26.6536370Z             use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-08-14T20:56:26.6536500Z                 This configuration is experimental and should be used with caution.
2025-08-14T20:56:26.6536660Z                 It will change the format of the saved checkpoint and may not be backward compatible.
2025-08-14T20:56:26.6536710Z     
2025-08-14T20:56:26.6536750Z         Returns:
2025-08-14T20:56:26.6536880Z             Future: A future holding the resultant Metadata object from `save`.
2025-08-14T20:56:26.6536920Z     
2025-08-14T20:56:26.6536960Z         Example:
2025-08-14T20:56:26.6537020Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6537070Z             >>> my_model = MyModule()
2025-08-14T20:56:26.6537110Z     
2025-08-14T20:56:26.6537180Z             >>> state_dict = {"model": my_model}
2025-08-14T20:56:26.6537220Z     
2025-08-14T20:56:26.6537360Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-08-14T20:56:26.6537410Z             ...     "/checkpoint/1"
2025-08-14T20:56:26.6537490Z             ... )
2025-08-14T20:56:26.6537620Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-08-14T20:56:26.6537690Z             >>>     state_dict=state_dict,
2025-08-14T20:56:26.6537760Z             >>>     storage_writer=fs_storage_writer,
2025-08-14T20:56:26.6537800Z             >>> )
2025-08-14T20:56:26.6537840Z             >>>
2025-08-14T20:56:26.6537900Z             >>> # ... do some work ...
2025-08-14T20:56:26.6537940Z             >>>
2025-08-14T20:56:26.6538000Z             >>> checkpoint_future.result()
2025-08-14T20:56:26.6538040Z     
2025-08-14T20:56:26.6538080Z         
2025-08-14T20:56:26.6538230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6538270Z     
2025-08-14T20:56:26.6538320Z       warnings.warn(msg)
2025-08-14T20:56:26.6538360Z     
2025-08-14T20:56:26.6538460Z --- Parse Warning: 64 / 146 ---
2025-08-14T20:56:26.6539150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-08-14T20:56:26.6539370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6539410Z     
2025-08-14T20:56:26.6539520Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-08-14T20:56:26.6539560Z     
2025-08-14T20:56:26.6539690Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-08-14T20:56:26.6539830Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-08-14T20:56:26.6539960Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-08-14T20:56:26.6540000Z     costs).
2025-08-14T20:56:26.6540040Z     
2025-08-14T20:56:26.6540150Z     Each rank will try to read the least amount of data necessary
2025-08-14T20:56:26.6540320Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-08-14T20:56:26.6540460Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-08-14T20:56:26.6540500Z     
2025-08-14T20:56:26.6540660Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-08-14T20:56:26.6540810Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-08-14T20:56:26.6540910Z     ``load_state_dict`` once the deserialization is complete.
2025-08-14T20:56:26.6541060Z     For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-08-14T20:56:26.6541150Z     it in the ``state_dict`` with the deserialized object.
2025-08-14T20:56:26.6541200Z     
2025-08-14T20:56:26.6545080Z     .. warning::
2025-08-14T20:56:26.6545210Z         All tensors in ``state_dict`` must be allocated on their
2025-08-14T20:56:26.6545310Z         destination device *prior to* calling this function.
2025-08-14T20:56:26.6545360Z     
2025-08-14T20:56:26.6545490Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-08-14T20:56:26.6545540Z         on state_dict.
2025-08-14T20:56:26.6545580Z     
2025-08-14T20:56:26.6545620Z     .. warning::
2025-08-14T20:56:26.6545750Z         Users must call `load_state_dict` on the root module to ensure load
2025-08-14T20:56:26.6545850Z         pos-processing and non-tensor data properly propagates.
2025-08-14T20:56:26.6545900Z     
2025-08-14T20:56:26.6545940Z     .. note:
2025-08-14T20:56:26.6546070Z         If no process group is initialized, this function will assume the intent
2025-08-14T20:56:26.6546200Z         is to load a checkpoint into the local process. This can be useful in the
2025-08-14T20:56:26.6546350Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-08-14T20:56:26.6546400Z          or ShardedTensor)
2025-08-14T20:56:26.6546440Z     
2025-08-14T20:56:26.6546580Z     .. note:
2025-08-14T20:56:26.6546670Z         Rank 0 is assumed to be the coordinator rank.
2025-08-14T20:56:26.6546710Z     
2025-08-14T20:56:26.6546750Z     Args:
2025-08-14T20:56:26.6546880Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-08-14T20:56:26.6546960Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-08-14T20:56:26.6547090Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-08-14T20:56:26.6547210Z             depends on the storage. It can be a path to a folder or to a file.
2025-08-14T20:56:26.6547320Z             It can also be a key if the storage is a key-value store.
2025-08-14T20:56:26.6547370Z             (Default: ``None``)
2025-08-14T20:56:26.6547450Z         storage_reader (Optional[StorageReader]):
2025-08-14T20:56:26.6547570Z             Instance of StorageWriter used to perform reads. If this is not
2025-08-14T20:56:26.6547690Z             specified, DCP will automatically infer the reader based on the
2025-08-14T20:56:26.6547810Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-08-14T20:56:26.6547940Z             be raised. (Default: ``None``)
2025-08-14T20:56:26.6548000Z         planner (Optional[LoadPlanner]):
2025-08-14T20:56:26.6548120Z             Instance of LoadPlanner. If this is not specified, the default
2025-08-14T20:56:26.6548200Z             planner will be used. (Default: ``None``)
2025-08-14T20:56:26.6548270Z         process_group (Optional[ProcessGroup]):
2025-08-14T20:56:26.6548380Z             ProcessGroup to be used for cross-rank synchronization.
2025-08-14T20:56:26.6548430Z             (Default: ``None``)
2025-08-14T20:56:26.6548560Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-08-14T20:56:26.6548710Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-08-14T20:56:26.6548760Z     Returns:
2025-08-14T20:56:26.6548800Z         None.
2025-08-14T20:56:26.6548840Z     
2025-08-14T20:56:26.6548910Z     Examples
2025-08-14T20:56:26.6548960Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6549020Z         >>> my_model = MyModule()
2025-08-14T20:56:26.6549100Z         >>> optimizer = Adagrad(my_model.parameters())
2025-08-14T20:56:26.6549180Z         >>> model_state_dict = my_model.state_dict()
2025-08-14T20:56:26.6549320Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-08-14T20:56:26.6549370Z         ...     "/checkpoint/1"
2025-08-14T20:56:26.6549410Z         ... )
2025-08-14T20:56:26.6549450Z     
2025-08-14T20:56:26.6549540Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-08-14T20:56:26.6549610Z         >>>     state_dict=model_state_dict,
2025-08-14T20:56:26.6549680Z         >>>     storage_reader=fs_storage_reader,
2025-08-14T20:56:26.6549720Z         >>> )
2025-08-14T20:56:26.6549760Z     
2025-08-14T20:56:26.6549870Z         >>> # module.load_state_dict() function might have customized steps
2025-08-14T20:56:26.6549950Z         >>> # to flush the state_dict, must call it to
2025-08-14T20:56:26.6550020Z         >>> # ensure correct behavior.
2025-08-14T20:56:26.6550090Z         >>> my_model.load_state_dict(model_state_dict)
2025-08-14T20:56:26.6550130Z     
2025-08-14T20:56:26.6550170Z     .. note::
2025-08-14T20:56:26.6550300Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-08-14T20:56:26.6550430Z         For NCCL-based process groups, internal tensor representations of
2025-08-14T20:56:26.6550560Z         objects must be moved to the GPU device before communication takes place.
2025-08-14T20:56:26.6550690Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-08-14T20:56:26.6550830Z         and it is the user's responsibility to ensure that this is set so that each
2025-08-14T20:56:26.6550940Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-08-14T20:56:26.6550980Z     
2025-08-14T20:56:26.6551170Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6551210Z     
2025-08-14T20:56:26.6551270Z       warnings.warn(msg)
2025-08-14T20:56:26.6551310Z     
2025-08-14T20:56:26.6551430Z --- Parse Warning: 65 / 146 ---
2025-08-14T20:56:26.6552160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-08-14T20:56:26.6552320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6552360Z     
2025-08-14T20:56:26.6552490Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-08-14T20:56:26.6552530Z     
2025-08-14T20:56:26.6552630Z     This is the current recommended way to checkpoint FSDP.
2025-08-14T20:56:26.6552680Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6552770Z     >>> import torch.distributed.checkpoint as dist_cp
2025-08-14T20:56:26.6552870Z     >>> # Save
2025-08-14T20:56:26.6552920Z     >>> model: torch.nn.Model
2025-08-14T20:56:26.6552990Z     >>> optim_params = model.parameters()
2025-08-14T20:56:26.6553070Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-08-14T20:56:26.6553120Z     >>> # Save
2025-08-14T20:56:26.6553240Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-08-14T20:56:26.6553300Z     >>>     state_dict = {
2025-08-14T20:56:26.6553390Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-08-14T20:56:26.6553450Z     >>>         "model": model.state_dict()
2025-08-14T20:56:26.6553490Z     >>>     }
2025-08-14T20:56:26.6553550Z     >>>     dist_cp.save_state_dict(
2025-08-14T20:56:26.6553610Z     >>>         state_dict=optim_state,
2025-08-14T20:56:26.6553720Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-08-14T20:56:26.6553800Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-08-14T20:56:26.6553860Z     >>>     )
2025-08-14T20:56:26.6553900Z     >>>
2025-08-14T20:56:26.6553940Z     >>> # Load
2025-08-14T20:56:26.6554070Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-08-14T20:56:26.6554150Z     >>>     model_state_dict = model_tp.state_dict()
2025-08-14T20:56:26.6554210Z     >>>     checkpoint = {
2025-08-14T20:56:26.6554260Z     >>>         "model": model_state_dict
2025-08-14T20:56:26.6554300Z     >>>     }
2025-08-14T20:56:26.6554360Z     >>>     dist_cp.load_state_dict(
2025-08-14T20:56:26.6554420Z     >>>         state_dict=checkpoint,
2025-08-14T20:56:26.6554530Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-08-14T20:56:26.6554600Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-08-14T20:56:26.6554650Z     >>>     )
2025-08-14T20:56:26.6554730Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-08-14T20:56:26.6554780Z     >>>
2025-08-14T20:56:26.6554890Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-08-14T20:56:26.6554940Z     >>>         model_state_dict,
2025-08-14T20:56:26.6555000Z     >>>         optimizer_key="optimizer",
2025-08-14T20:56:26.6555110Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-08-14T20:56:26.6555150Z     >>>     )
2025-08-14T20:56:26.6555190Z     >>>
2025-08-14T20:56:26.6555280Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:26.6555350Z     >>>        model, optim, optim_state["optimizer"]
2025-08-14T20:56:26.6555390Z     >>>     )
2025-08-14T20:56:26.6555430Z     >>>
2025-08-14T20:56:26.6555500Z     >>>     optim.load_state_dict(flattened_osd)
2025-08-14T20:56:26.6555540Z     
2025-08-14T20:56:26.6555690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6555730Z     
2025-08-14T20:56:26.6555780Z       warnings.warn(msg)
2025-08-14T20:56:26.6555860Z     
2025-08-14T20:56:26.6555970Z --- Parse Warning: 66 / 146 ---
2025-08-14T20:56:26.6556670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-08-14T20:56:26.6556830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6556870Z     
2025-08-14T20:56:26.6557000Z     RemoteModule instance can only be created after RPC initialization.
2025-08-14T20:56:26.6557040Z     
2025-08-14T20:56:26.6557150Z     It creates a user-specified module on a specified remote node.
2025-08-14T20:56:26.6557290Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-14T20:56:26.6557350Z     executed on the remote node.
2025-08-14T20:56:26.6557490Z     It takes care of autograd recording to ensure the backward pass propagates
2025-08-14T20:56:26.6557580Z     gradients back to the corresponding remote module.
2025-08-14T20:56:26.6557840Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-08-14T20:56:26.6557960Z     without incurring any overheads of copying the actual module,
2025-08-14T20:56:26.6558080Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-08-14T20:56:26.6558140Z     pointing to the remote module.
2025-08-14T20:56:26.6558180Z     
2025-08-14T20:56:26.6558300Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-08-14T20:56:26.6558420Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-08-14T20:56:26.6558460Z     
2025-08-14T20:56:26.6558640Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-08-14T20:56:26.6558680Z     
2025-08-14T20:56:26.6558830Z     Particularly, to create a hybrid model, typically the local modules should be
2025-08-14T20:56:26.6559080Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-08-14T20:56:26.6559130Z     Hybrid Example:
2025-08-14T20:56:26.6559200Z             >>> class HybridModel(nn.Module):
2025-08-14T20:56:26.6559270Z             >>>     def __init__(self) -> None:
2025-08-14T20:56:26.6559330Z             >>>         nn.Module.__init__(self)
2025-08-14T20:56:26.6559420Z             >>>         self.remote_embedding = RemoteModule(...)
2025-08-14T20:56:26.6559500Z             >>>         self.local_linear = nn.Linear(...)
2025-08-14T20:56:26.6559540Z     
2025-08-14T20:56:26.6559660Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-14T20:56:26.6559810Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-08-14T20:56:26.6559930Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-08-14T20:56:26.6560010Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-08-14T20:56:26.6560110Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-08-14T20:56:26.6560150Z     
2025-08-14T20:56:26.6560190Z     .. note::
2025-08-14T20:56:26.6560280Z         If the remote module is placed on a cuda device,
2025-08-14T20:56:26.6560420Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-08-14T20:56:26.6560650Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-08-14T20:56:26.6560690Z     
2025-08-14T20:56:26.6560730Z     Args:
2025-08-14T20:56:26.6560910Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:26.6561080Z             The device can be a local device or a remote device specified by one of the following remote
2025-08-14T20:56:26.6561130Z             formats:
2025-08-14T20:56:26.6561160Z     
2025-08-14T20:56:26.6561280Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-14T20:56:26.6561380Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-14T20:56:26.6561420Z     
2025-08-14T20:56:26.6561570Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:26.6561640Z         module_cls (nn.Module): For example,
2025-08-14T20:56:26.6561700Z             >>> class MyModule(nn.Module):
2025-08-14T20:56:26.6561750Z             >>>     def forward(input):
2025-08-14T20:56:26.6561810Z             >>>         return input + 1
2025-08-14T20:56:26.6561850Z             >>>
2025-08-14T20:56:26.6561910Z             >>> module_cls = MyModule
2025-08-14T20:56:26.6562030Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-14T20:56:26.6562150Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-14T20:56:26.6562310Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-14T20:56:26.6562450Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-08-14T20:56:26.6562640Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-08-14T20:56:26.6562780Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-08-14T20:56:26.6562820Z     
2025-08-14T20:56:26.6562870Z     Returns:
2025-08-14T20:56:26.6563010Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:26.6563150Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-14T20:56:26.6563310Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:26.6563400Z         on the user-provided module on the remote side.
2025-08-14T20:56:26.6563440Z     
2025-08-14T20:56:26.6563480Z     Example::
2025-08-14T20:56:26.6563570Z         Run the following code in two different processes:
2025-08-14T20:56:26.6563640Z     
2025-08-14T20:56:26.6563710Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6563760Z         >>> # On worker 0:
2025-08-14T20:56:26.6563810Z         >>> import torch
2025-08-14T20:56:26.6563880Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6563940Z         >>> from torch import nn, Tensor
2025-08-14T20:56:26.6564070Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:26.6564110Z         >>>
2025-08-14T20:56:26.6564190Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:26.6564270Z         >>> remote_linear_module = RemoteModule(
2025-08-14T20:56:26.6564340Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:26.6564380Z         >>> )
2025-08-14T20:56:26.6564440Z         >>> input = torch.randn(128, 20)
2025-08-14T20:56:26.6564540Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-14T20:56:26.6564590Z         >>> ret = ret_fut.wait()
2025-08-14T20:56:26.6564640Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6564690Z     
2025-08-14T20:56:26.6564730Z         >>> # On worker 1:
2025-08-14T20:56:26.6564780Z         >>> import torch
2025-08-14T20:56:26.6564850Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6564890Z         >>>
2025-08-14T20:56:26.6564980Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:26.6565020Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6565060Z     
2025-08-14T20:56:26.6565210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6565250Z     
2025-08-14T20:56:26.6565300Z       warnings.warn(msg)
2025-08-14T20:56:26.6565340Z     
2025-08-14T20:56:26.6565440Z --- Parse Warning: 67 / 146 ---
2025-08-14T20:56:26.6566230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-08-14T20:56:26.6566400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6566440Z     
2025-08-14T20:56:26.6566620Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-08-14T20:56:26.6566660Z     
2025-08-14T20:56:26.6566850Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-08-14T20:56:26.6567030Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-08-14T20:56:26.6567070Z     
2025-08-14T20:56:26.6567240Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-08-14T20:56:26.6567350Z     which is not supported. The recommended way is as follows:
2025-08-14T20:56:26.6567380Z     
2025-08-14T20:56:26.6567450Z         1. the sender creates a RemoteModule;
2025-08-14T20:56:26.6567540Z         2. the sender sends its ``module_rref`` over RPC;
2025-08-14T20:56:26.6567800Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-08-14T20:56:26.6567840Z     
2025-08-14T20:56:26.6567880Z     Example::
2025-08-14T20:56:26.6567970Z         Run the following code in two different processes:
2025-08-14T20:56:26.6568010Z     
2025-08-14T20:56:26.6568070Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6568120Z         >>> # On worker 0:
2025-08-14T20:56:26.6568170Z         >>> import torch
2025-08-14T20:56:26.6568240Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6568300Z         >>> from torch import nn, Tensor
2025-08-14T20:56:26.6568430Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:26.6568470Z         >>>
2025-08-14T20:56:26.6568560Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:26.6568640Z         >>> remote_module = RemoteModule(
2025-08-14T20:56:26.6568720Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:26.6568760Z         >>> )
2025-08-14T20:56:26.6568800Z         >>>
2025-08-14T20:56:26.6568860Z         >>> remote_module1 = rpc.rpc_sync(
2025-08-14T20:56:26.6568920Z         >>>     "worker1/cpu",
2025-08-14T20:56:26.6568990Z         >>>     RemoteModule.init_from_module_rref,
2025-08-14T20:56:26.6569090Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-08-14T20:56:26.6569120Z         >>> )
2025-08-14T20:56:26.6569180Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6569210Z     
2025-08-14T20:56:26.6569260Z         >>> # On worker 1:
2025-08-14T20:56:26.6569310Z         >>> import torch
2025-08-14T20:56:26.6569380Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6569420Z         >>>
2025-08-14T20:56:26.6569500Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:26.6569550Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6569590Z     
2025-08-14T20:56:26.6569640Z     Args:
2025-08-14T20:56:26.6569810Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:26.6569980Z             The device can be a local device or a remote device specified by one of the following remote
2025-08-14T20:56:26.6570030Z             formats:
2025-08-14T20:56:26.6570070Z     
2025-08-14T20:56:26.6570150Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-08-14T20:56:26.6570250Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-08-14T20:56:26.6570290Z     
2025-08-14T20:56:26.6570430Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:26.6570580Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-08-14T20:56:26.6570640Z             the created remote module.
2025-08-14T20:56:26.6570850Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-08-14T20:56:26.6571000Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-08-14T20:56:26.6571120Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-08-14T20:56:26.6571270Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-08-14T20:56:26.6571300Z     
2025-08-14T20:56:26.6571350Z     Returns:
2025-08-14T20:56:26.6571490Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:26.6571630Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-08-14T20:56:26.6571790Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:26.6571880Z         on the user-provided module on the remote side.
2025-08-14T20:56:26.6571920Z     
2025-08-14T20:56:26.6572070Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6572110Z     
2025-08-14T20:56:26.6572210Z       warnings.warn(msg)
2025-08-14T20:56:26.6572250Z     
2025-08-14T20:56:26.6572350Z --- Parse Warning: 68 / 146 ---
2025-08-14T20:56:26.6573040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-08-14T20:56:26.6573190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6573230Z     
2025-08-14T20:56:26.6573360Z         A RemoteModule instance can only be created after RPC initialization.
2025-08-14T20:56:26.6573400Z     
2025-08-14T20:56:26.6573520Z         It creates a user-specified module on a specified remote node.
2025-08-14T20:56:26.6573670Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-08-14T20:56:26.6573740Z         executed on the remote node.
2025-08-14T20:56:26.6573880Z         It takes care of autograd recording to ensure the backward pass propagates
2025-08-14T20:56:26.6573980Z         gradients back to the corresponding remote module.
2025-08-14T20:56:26.6574010Z     
2025-08-14T20:56:26.6574150Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-08-14T20:56:26.6574270Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-08-14T20:56:26.6574420Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-08-14T20:56:26.6574540Z         and ``forward`` are the same as the ``forward`` method of the module
2025-08-14T20:56:26.6574600Z         returned by the ``module_cls``.
2025-08-14T20:56:26.6574640Z     
2025-08-14T20:56:26.6574760Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-08-14T20:56:26.6574910Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-08-14T20:56:26.6575040Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-08-14T20:56:26.6575080Z     
2025-08-14T20:56:26.6575160Z         | ``def forward(input: Tensor) -> Tensor:``
2025-08-14T20:56:26.6575260Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-08-14T20:56:26.6575300Z     
2025-08-14T20:56:26.6575340Z     Args:
2025-08-14T20:56:26.6575510Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-08-14T20:56:26.6575720Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-08-14T20:56:26.6575800Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-08-14T20:56:26.6575950Z             In addition, the device field can be optional and the default value is "cpu".
2025-08-14T20:56:26.6576130Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-08-14T20:56:26.6576170Z     
2025-08-14T20:56:26.6576240Z             >>> class MyModule(nn.Module):
2025-08-14T20:56:26.6576300Z             >>>     def forward(input):
2025-08-14T20:56:26.6576350Z             >>>         return input + 1
2025-08-14T20:56:26.6576400Z             >>>
2025-08-14T20:56:26.6576450Z             >>> module_cls = MyModule
2025-08-14T20:56:26.6576490Z     
2025-08-14T20:56:26.6576610Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-08-14T20:56:26.6576730Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-08-14T20:56:26.6576760Z     
2025-08-14T20:56:26.6576810Z     Returns:
2025-08-14T20:56:26.6576950Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-08-14T20:56:26.6577090Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-08-14T20:56:26.6577250Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-08-14T20:56:26.6577390Z         on the user-provided module on the remote side.
2025-08-14T20:56:26.6577430Z     
2025-08-14T20:56:26.6577470Z     Example::
2025-08-14T20:56:26.6577560Z         Run the following code in two different processes:
2025-08-14T20:56:26.6577600Z     
2025-08-14T20:56:26.6577670Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6577720Z         >>> # On worker 0:
2025-08-14T20:56:26.6577760Z         >>> import torch
2025-08-14T20:56:26.6577840Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6577900Z         >>> from torch import nn, Tensor
2025-08-14T20:56:26.6578030Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-08-14T20:56:26.6578070Z         >>>
2025-08-14T20:56:26.6578150Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:26.6578220Z         >>> remote_linear_module = RemoteModule(
2025-08-14T20:56:26.6578300Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-08-14T20:56:26.6578380Z         >>> )
2025-08-14T20:56:26.6578440Z         >>> input = torch.randn(128, 20)
2025-08-14T20:56:26.6578540Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-08-14T20:56:26.6578590Z         >>> ret = ret_fut.wait()
2025-08-14T20:56:26.6578640Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6578680Z     
2025-08-14T20:56:26.6578730Z         >>> # On worker 1:
2025-08-14T20:56:26.6578770Z         >>> import torch
2025-08-14T20:56:26.6578840Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6578880Z         >>>
2025-08-14T20:56:26.6578970Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:26.6579020Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6579060Z     
2025-08-14T20:56:26.6579170Z         Furthermore, a more practical example that is combined with
2025-08-14T20:56:26.6579450Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-08-14T20:56:26.6579640Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-08-14T20:56:26.6579680Z     
2025-08-14T20:56:26.6579830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6579870Z     
2025-08-14T20:56:26.6579920Z       warnings.warn(msg)
2025-08-14T20:56:26.6579960Z     
2025-08-14T20:56:26.6580060Z --- Parse Warning: 69 / 146 ---
2025-08-14T20:56:26.6580790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-08-14T20:56:26.6580950Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6581020Z     
2025-08-14T20:56:26.6581140Z     Initialize rendezvous event object and record its operations.
2025-08-14T20:56:26.6581180Z     
2025-08-14T20:56:26.6581220Z     Args:
2025-08-14T20:56:26.6581300Z         run_id (str): The run id of the rendezvous.
2025-08-14T20:56:26.6581380Z         message (str): The message describing the event.
2025-08-14T20:56:26.6581530Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-08-14T20:56:26.6581650Z         name (str): Event name. (E.g. Current action being performed).
2025-08-14T20:56:26.6581720Z         hostname (str): Hostname of the node.
2025-08-14T20:56:26.6581800Z         pid (Optional[int]): The process id of the node.
2025-08-14T20:56:26.6581950Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-08-14T20:56:26.6582110Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-08-14T20:56:26.6582210Z         rank (Optional[int]): The rank of the node, if known.
2025-08-14T20:56:26.6582250Z     Returns:
2025-08-14T20:56:26.6582350Z         None
2025-08-14T20:56:26.6582390Z     Example:
2025-08-14T20:56:26.6582470Z         >>> # See DynamicRendezvousHandler class
2025-08-14T20:56:26.6582520Z         >>> def _record(
2025-08-14T20:56:26.6582560Z         ...     self,
2025-08-14T20:56:26.6582610Z         ...     message: str,
2025-08-14T20:56:26.6582690Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-08-14T20:56:26.6582750Z         ...     rank: Optional[int] = None,
2025-08-14T20:56:26.6582800Z         ... ) -> None:
2025-08-14T20:56:26.6582870Z         ...     construct_and_record_rdzv_event(
2025-08-14T20:56:26.6582970Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-08-14T20:56:26.6583040Z         ...         run_id=self._settings.run_id,
2025-08-14T20:56:26.6583100Z         ...         message=message,
2025-08-14T20:56:26.6583160Z         ...         node_state=node_state,
2025-08-14T20:56:26.6583250Z         ...         hostname=self._this_node.addr,
2025-08-14T20:56:26.6583310Z         ...         pid=self._this_node.pid,
2025-08-14T20:56:26.6583390Z         ...         local_id=self._this_node.local_id,
2025-08-14T20:56:26.6583440Z         ...         rank=rank,
2025-08-14T20:56:26.6583480Z         ...     )
2025-08-14T20:56:26.6583510Z     
2025-08-14T20:56:26.6583660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6583700Z     
2025-08-14T20:56:26.6583750Z       warnings.warn(msg)
2025-08-14T20:56:26.6583790Z     
2025-08-14T20:56:26.6583890Z --- Parse Warning: 70 / 146 ---
2025-08-14T20:56:26.6584590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-08-14T20:56:26.6584740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6584780Z     
2025-08-14T20:56:26.6584920Z     Custom reducer class that can be used to specify a custom operation that
2025-08-14T20:56:26.6585020Z     reduces losses of multiple microbatches into one value.
2025-08-14T20:56:26.6585060Z     
2025-08-14T20:56:26.6585100Z     Example:
2025-08-14T20:56:26.6585150Z     >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6585210Z     >>> sum_reducer = _CustomReducer(
2025-08-14T20:56:26.6585260Z     >>>     torch.tensor(0.0),
2025-08-14T20:56:26.6585310Z     >>>     lambda a, b: a + b
2025-08-14T20:56:26.6585350Z     >>> )
2025-08-14T20:56:26.6585390Z     
2025-08-14T20:56:26.6585540Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6585580Z     
2025-08-14T20:56:26.6585630Z       warnings.warn(msg)
2025-08-14T20:56:26.6585670Z     
2025-08-14T20:56:26.6585840Z --- Parse Warning: 71 / 146 ---
2025-08-14T20:56:26.6586600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-08-14T20:56:26.6586750Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6586790Z     
2025-08-14T20:56:26.6586900Z     Averages parameters periodically after the warm-up stage.
2025-08-14T20:56:26.6586940Z     
2025-08-14T20:56:26.6587090Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-14T20:56:26.6587200Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-08-14T20:56:26.6587340Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-08-14T20:56:26.6587390Z     
2025-08-14T20:56:26.6587430Z     Args:
2025-08-14T20:56:26.6587530Z         period (int): The number of steps per model averaging.
2025-08-14T20:56:26.6587740Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-08-14T20:56:26.6587820Z                       Otherwise, only DDP needs to be used.
2025-08-14T20:56:26.6587950Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-08-14T20:56:26.6588020Z                             model averaging is skipped.
2025-08-14T20:56:26.6588130Z         process_group: The process group to be used for all-reduce.
2025-08-14T20:56:26.6588230Z                        If ``None``, the default process group, which
2025-08-14T20:56:26.6588340Z                        is created by :func:`torch.distributed.init_process_group`,
2025-08-14T20:56:26.6588420Z                        will be used. (default: ``None``)
2025-08-14T20:56:26.6588460Z     
2025-08-14T20:56:26.6588500Z     Example::
2025-08-14T20:56:26.6588540Z     
2025-08-14T20:56:26.6588640Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6588690Z         >>> import torch
2025-08-14T20:56:26.6588760Z         >>> import torch.distributed as dist
2025-08-14T20:56:26.6588950Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-08-14T20:56:26.6589100Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-14T20:56:26.6589160Z         >>> import torch.nn as nn
2025-08-14T20:56:26.6589200Z         >>>
2025-08-14T20:56:26.6589310Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-14T20:56:26.6589370Z         >>> torch.cuda.set_device(rank)
2025-08-14T20:56:26.6589450Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-08-14T20:56:26.6589540Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:26.6589620Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:26.6589660Z         >>> )
2025-08-14T20:56:26.6589750Z         >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:26.6589930Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-14T20:56:26.6590030Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:26.6590070Z         >>>
2025-08-14T20:56:26.6590220Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-14T20:56:26.6590320Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-08-14T20:56:26.6590510Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:26.6590660Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-14T20:56:26.6590720Z         >>> for step in range(0, 200):
2025-08-14T20:56:26.6590780Z         >>>    optimizer.zero_grad()
2025-08-14T20:56:26.6590880Z         >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:26.6590940Z         >>>    loss.backward()
2025-08-14T20:56:26.6590990Z         >>>    optimizer.step()
2025-08-14T20:56:26.6591110Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-08-14T20:56:26.6591230Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-08-14T20:56:26.6591310Z         >>>    # the initial ``warmup_steps`` period.
2025-08-14T20:56:26.6591400Z         >>>    averager.average_parameters(model.parameters())
2025-08-14T20:56:26.6591440Z     
2025-08-14T20:56:26.6591590Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6591630Z     
2025-08-14T20:56:26.6591680Z       warnings.warn(msg)
2025-08-14T20:56:26.6591720Z     
2025-08-14T20:56:26.6591820Z --- Parse Warning: 72 / 146 ---
2025-08-14T20:56:26.6592630Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-08-14T20:56:26.6592840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6592880Z     
2025-08-14T20:56:26.6593080Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-08-14T20:56:26.6593110Z     
2025-08-14T20:56:26.6593300Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-08-14T20:56:26.6593420Z     by using different periods concurrently after the warm-up stage.
2025-08-14T20:56:26.6593660Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-08-14T20:56:26.6593860Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-08-14T20:56:26.6594060Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-08-14T20:56:26.6594270Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-08-14T20:56:26.6594450Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-08-14T20:56:26.6594610Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-08-14T20:56:26.6594650Z     
2025-08-14T20:56:26.6594690Z     Args:
2025-08-14T20:56:26.6594840Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-08-14T20:56:26.6594960Z                                 process group size, used for initializing process groups of
2025-08-14T20:56:26.6595100Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-08-14T20:56:26.6595230Z                                 Particularly, at each iteration, there will be at most a single
2025-08-14T20:56:26.6595380Z                                 process group that runs averaging -- the period of such group should
2025-08-14T20:56:26.6595510Z                                 have the largest period which the current step can be divided by.
2025-08-14T20:56:26.6595620Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-08-14T20:56:26.6595750Z                                 then this means totally three process groups will be created to
2025-08-14T20:56:26.6595880Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-08-14T20:56:26.6599380Z                                 At the 4th iteration, only the second process group will run
2025-08-14T20:56:26.6599510Z                                 averaging, because the first process group should be a
2025-08-14T20:56:26.6599730Z                                 subset of the second process group, and no need to execute the first
2025-08-14T20:56:26.6599820Z                                 process group redundantly.
2025-08-14T20:56:26.6599940Z                                 On the other hand, the third process group can only be triggered
2025-08-14T20:56:26.6600080Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-08-14T20:56:26.6600260Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-08-14T20:56:26.6600510Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-08-14T20:56:26.6600630Z                                                 If ``None``, the default process group, which is created
2025-08-14T20:56:26.6600760Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-08-14T20:56:26.6600840Z                                                 (default: ``None``)
2025-08-14T20:56:26.6600880Z     
2025-08-14T20:56:26.6600930Z     Example::
2025-08-14T20:56:26.6601100Z         >>> # xdoctest: +SKIP('undefined rank')
2025-08-14T20:56:26.6601170Z         >>> from collections import OrderedDict
2025-08-14T20:56:26.6601210Z         >>> import torch
2025-08-14T20:56:26.6601280Z         >>> import torch.distributed as dist
2025-08-14T20:56:26.6601450Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-14T20:56:26.6601510Z         >>>     PostLocalSGDState,
2025-08-14T20:56:26.6601560Z         >>>     post_localSGD_hook,
2025-08-14T20:56:26.6601600Z         >>> )
2025-08-14T20:56:26.6601820Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-08-14T20:56:26.6601880Z         >>> import torch.nn as nn
2025-08-14T20:56:26.6601920Z         >>>
2025-08-14T20:56:26.6602020Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-08-14T20:56:26.6602090Z         >>> torch.cuda.set_device(rank)
2025-08-14T20:56:26.6602230Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-08-14T20:56:26.6602320Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:26.6602410Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:26.6602450Z         >>> )
2025-08-14T20:56:26.6602530Z         >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:26.6602700Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-08-14T20:56:26.6602760Z         >>> subgroup, _ = dist.new_subgroups()
2025-08-14T20:56:26.6602950Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-08-14T20:56:26.6603040Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:26.6603090Z         >>>
2025-08-14T20:56:26.6603260Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-08-14T20:56:26.6603330Z         >>> # the 16 processes every 16 iterations.
2025-08-14T20:56:26.6603450Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-08-14T20:56:26.6603590Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-08-14T20:56:26.6603780Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:26.6603940Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-08-14T20:56:26.6604040Z         >>> # After 100 steps, run model averaging at two levels.
2025-08-14T20:56:26.6604100Z         >>> for step in range(0, 200):
2025-08-14T20:56:26.6604150Z         >>>    optimizer.zero_grad()
2025-08-14T20:56:26.6604220Z         >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:26.6604270Z         >>>    loss.backward()
2025-08-14T20:56:26.6604320Z         >>>    optimizer.step()
2025-08-14T20:56:26.6604490Z         >>>    # Average parameters after ``optimizer.step()``.
2025-08-14T20:56:26.6604670Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-08-14T20:56:26.6604760Z         >>>    averager.average_parameters(model.parameters())
2025-08-14T20:56:26.6604800Z     
2025-08-14T20:56:26.6604850Z     .. warning ::
2025-08-14T20:56:26.6605000Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-08-14T20:56:26.6605140Z         which indicates model averaging at the highest level of the hierarchy.
2025-08-14T20:56:26.6605320Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-08-14T20:56:26.6605360Z     
2025-08-14T20:56:26.6605400Z     .. warning ::
2025-08-14T20:56:26.6605540Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-08-14T20:56:26.6605580Z     
2025-08-14T20:56:26.6605720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6605770Z     
2025-08-14T20:56:26.6605980Z       warnings.warn(msg)
2025-08-14T20:56:26.6606020Z     
2025-08-14T20:56:26.6606140Z --- Parse Warning: 73 / 146 ---
2025-08-14T20:56:26.6606900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-08-14T20:56:26.6607050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6607090Z     
2025-08-14T20:56:26.6607150Z     Run post-localSGD algorithm.
2025-08-14T20:56:26.6607190Z     
2025-08-14T20:56:26.6607330Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-08-14T20:56:26.6607430Z     by combining with a model averaging component (e.g.,
2025-08-14T20:56:26.6607690Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-08-14T20:56:26.6607760Z     that runs after the optimizer step.
2025-08-14T20:56:26.6607800Z     
2025-08-14T20:56:26.6607840Z     Args:
2025-08-14T20:56:26.6607980Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-08-14T20:56:26.6608150Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-08-14T20:56:26.6608400Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-14T20:56:26.6608550Z             Note that since DDP comm hook only supports single process single device mode,
2025-08-14T20:56:26.6608650Z             only exactly one tensor is stored in this bucket.
2025-08-14T20:56:26.6608690Z     
2025-08-14T20:56:26.6608730Z     Returns:
2025-08-14T20:56:26.6608870Z         Future handler of the communication, which updates the gradients in place.
2025-08-14T20:56:26.6608920Z     
2025-08-14T20:56:26.6608960Z     Example::
2025-08-14T20:56:26.6609010Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6609160Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-08-14T20:56:26.6609240Z                                   start_localSGD_iter=10)
2025-08-14T20:56:26.6609340Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:26.6609540Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-08-14T20:56:26.6609740Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-08-14T20:56:26.6609780Z     
2025-08-14T20:56:26.6609960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6610000Z     
2025-08-14T20:56:26.6610050Z       warnings.warn(msg)
2025-08-14T20:56:26.6610180Z     
2025-08-14T20:56:26.6610290Z --- Parse Warning: 74 / 146 ---
2025-08-14T20:56:26.6611030Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-08-14T20:56:26.6611180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6611220Z     
2025-08-14T20:56:26.6611280Z     Implement PowerSGD algorithm.
2025-08-14T20:56:26.6611320Z     
2025-08-14T20:56:26.6611460Z     This DDP communication hook implements PowerSGD gradient compression
2025-08-14T20:56:26.6611590Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-08-14T20:56:26.6611740Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-08-14T20:56:26.6611790Z     compression as follows:
2025-08-14T20:56:26.6611840Z     
2025-08-14T20:56:26.6612090Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-08-14T20:56:26.6612270Z     
2025-08-14T20:56:26.6612510Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-08-14T20:56:26.6612550Z     
2025-08-14T20:56:26.6612790Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-08-14T20:56:26.6612830Z     
2025-08-14T20:56:26.6612890Z     2. Handles uncompressed tensors:
2025-08-14T20:56:26.6612920Z     
2025-08-14T20:56:26.6613220Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-08-14T20:56:26.6613260Z     
2025-08-14T20:56:26.6613460Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-08-14T20:56:26.6613540Z     
2025-08-14T20:56:26.6613690Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-08-14T20:56:26.6613720Z     
2025-08-14T20:56:26.6613870Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-08-14T20:56:26.6614050Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-08-14T20:56:26.6614090Z     
2025-08-14T20:56:26.6614180Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-08-14T20:56:26.6614220Z     
2025-08-14T20:56:26.6614280Z         3.3. Allreduces Ps as a batch;
2025-08-14T20:56:26.6614320Z     
2025-08-14T20:56:26.6614380Z         3.4. Orthogonalizes each P in Ps;
2025-08-14T20:56:26.6614420Z     
2025-08-14T20:56:26.6614540Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-08-14T20:56:26.6614580Z     
2025-08-14T20:56:26.6614640Z         3.6. Allreduces Qs as a batch;
2025-08-14T20:56:26.6614680Z     
2025-08-14T20:56:26.6614860Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-08-14T20:56:26.6614890Z     
2025-08-14T20:56:26.6615130Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-08-14T20:56:26.6615300Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-08-14T20:56:26.6615550Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-08-14T20:56:26.6615590Z     
2025-08-14T20:56:26.6615630Z     Args:
2025-08-14T20:56:26.6615880Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-08-14T20:56:26.6616160Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-08-14T20:56:26.6616230Z             and ``min_compression_rate``.
2025-08-14T20:56:26.6616470Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-08-14T20:56:26.6616620Z             Note that since DDP comm hook only supports single process single device mode,
2025-08-14T20:56:26.6616710Z             only exactly one tensor is stored in this bucket.
2025-08-14T20:56:26.6616750Z     
2025-08-14T20:56:26.6616790Z     Returns:
2025-08-14T20:56:26.6616940Z         Future handler of the communication, which updates the gradients in place.
2025-08-14T20:56:26.6616980Z     
2025-08-14T20:56:26.6617020Z     Example::
2025-08-14T20:56:26.6617070Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6617240Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-08-14T20:56:26.6617340Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-08-14T20:56:26.6617440Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-08-14T20:56:26.6617560Z     
2025-08-14T20:56:26.6617710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6617750Z     
2025-08-14T20:56:26.6617800Z       warnings.warn(msg)
2025-08-14T20:56:26.6617840Z     
2025-08-14T20:56:26.6617940Z --- Parse Warning: 75 / 146 ---
2025-08-14T20:56:26.6618670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-08-14T20:56:26.6618830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6618870Z     
2025-08-14T20:56:26.6619100Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-08-14T20:56:26.6619230Z     This optimizer runs local optimizer at every step.
2025-08-14T20:56:26.6619430Z     After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-08-14T20:56:26.6619470Z     
2025-08-14T20:56:26.6619510Z     Args:
2025-08-14T20:56:26.6619570Z         optim: The local optimizer.
2025-08-14T20:56:26.6619700Z         averager: A model averager instance to run post-localSGD algorithm.
2025-08-14T20:56:26.6619740Z     
2025-08-14T20:56:26.6619780Z     Example::
2025-08-14T20:56:26.6619820Z     
2025-08-14T20:56:26.6619900Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6619940Z         >>> import torch
2025-08-14T20:56:26.6620010Z         >>> import torch.distributed as dist
2025-08-14T20:56:26.6620170Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-08-14T20:56:26.6620230Z         >>> import torch.nn as nn
2025-08-14T20:56:26.6620350Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-08-14T20:56:26.6620520Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-08-14T20:56:26.6620570Z         >>>   PostLocalSGDState,
2025-08-14T20:56:26.6620630Z         >>>   post_localSGD_hook,
2025-08-14T20:56:26.6620670Z         >>> )
2025-08-14T20:56:26.6620710Z         >>>
2025-08-14T20:56:26.6620800Z         >>> model = nn.parallel.DistributedDataParallel(
2025-08-14T20:56:26.6620890Z         >>>    module, device_ids=[rank], output_device=rank
2025-08-14T20:56:26.6620920Z         >>> )
2025-08-14T20:56:26.6620960Z         >>>
2025-08-14T20:56:26.6621050Z         >>> # Register a post-localSGD communication hook.
2025-08-14T20:56:26.6621230Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-08-14T20:56:26.6621320Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-08-14T20:56:26.6621400Z         >>>
2025-08-14T20:56:26.6621540Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-08-14T20:56:26.6621690Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-08-14T20:56:26.6621790Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-08-14T20:56:26.6621920Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-08-14T20:56:26.6621980Z         >>> opt = PostLocalSGDOptimizer(
2025-08-14T20:56:26.6622040Z         >>>     optim=local_optim,
2025-08-14T20:56:26.6622190Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-08-14T20:56:26.6622230Z         >>> )
2025-08-14T20:56:26.6622270Z         >>>
2025-08-14T20:56:26.6622400Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-08-14T20:56:26.6622580Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-08-14T20:56:26.6622800Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-08-14T20:56:26.6622920Z         >>> for step in range(0, 200):
2025-08-14T20:56:26.6622970Z         >>>    opt.zero_grad()
2025-08-14T20:56:26.6623040Z         >>>    loss = loss_fn(output, labels)
2025-08-14T20:56:26.6623090Z         >>>    loss.backward()
2025-08-14T20:56:26.6623140Z         >>>    opt.step()
2025-08-14T20:56:26.6623180Z     
2025-08-14T20:56:26.6623330Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6623370Z     
2025-08-14T20:56:26.6623420Z       warnings.warn(msg)
2025-08-14T20:56:26.6623460Z     
2025-08-14T20:56:26.6623550Z --- Parse Warning: 76 / 146 ---
2025-08-14T20:56:26.6624250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-08-14T20:56:26.6624450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6624490Z     
2025-08-14T20:56:26.6624630Z     DistributedOptimizer takes remote references to parameters scattered
2025-08-14T20:56:26.6624780Z     across workers and applies the given optimizer locally for each parameter.
2025-08-14T20:56:26.6624820Z     
2025-08-14T20:56:26.6624960Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-08-14T20:56:26.6625050Z     to retrieve the gradients for specific parameters.
2025-08-14T20:56:26.6625090Z     
2025-08-14T20:56:26.6625140Z     Concurrent calls to
2025-08-14T20:56:26.6625260Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-08-14T20:56:26.6625350Z     either from the same or different clients, will
2025-08-14T20:56:26.6625480Z     be serialized on each worker -- as each worker's optimizer can only work
2025-08-14T20:56:26.6625610Z     on one set of gradients at a time. However, there is no guarantee that
2025-08-14T20:56:26.6625760Z     the full forward-backward-optimizer sequence will execute for one client
2025-08-14T20:56:26.6625890Z     at a time. This means that the gradients being applied may not correspond
2025-08-14T20:56:26.6626020Z     to the latest forward pass executed on a given worker. Also, there is no
2025-08-14T20:56:26.6626080Z     guaranteed ordering across workers.
2025-08-14T20:56:26.6626120Z     
2025-08-14T20:56:26.6626280Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-08-14T20:56:26.6626410Z     by default, so that optimizer updates are not blocked by the Python Global
2025-08-14T20:56:26.6626560Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-08-14T20:56:26.6626700Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-08-14T20:56:26.6626890Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-08-14T20:56:26.6626960Z     for your own custom optimizers.
2025-08-14T20:56:26.6627000Z     
2025-08-14T20:56:26.6627040Z     Args:
2025-08-14T20:56:26.6627160Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-08-14T20:56:26.6627220Z             instantiate on each worker.
2025-08-14T20:56:26.6627350Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-08-14T20:56:26.6627400Z             to optimize.
2025-08-14T20:56:26.6627520Z         args: arguments to pass to the optimizer constructor on each worker.
2025-08-14T20:56:26.6627660Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-08-14T20:56:26.6627700Z     
2025-08-14T20:56:26.6627740Z     Example::
2025-08-14T20:56:26.6627800Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6627910Z         >>> import torch.distributed.autograd as dist_autograd
2025-08-14T20:56:26.6627980Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6628270Z         >>> from torch import optim
2025-08-14T20:56:26.6628380Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-08-14T20:56:26.6628420Z         >>>
2025-08-14T20:56:26.6628500Z         >>> with dist_autograd.context() as context_id:
2025-08-14T20:56:26.6628550Z         >>>   # Forward pass.
2025-08-14T20:56:26.6628680Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-08-14T20:56:26.6628790Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-08-14T20:56:26.6628870Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-08-14T20:56:26.6628910Z         >>>
2025-08-14T20:56:26.6628970Z         >>>   # Backward pass.
2025-08-14T20:56:26.6629060Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-08-14T20:56:26.6629100Z         >>>
2025-08-14T20:56:26.6629150Z         >>>   # Optimizer.
2025-08-14T20:56:26.6629260Z         >>>   dist_optim = DistributedOptimizer(
2025-08-14T20:56:26.6629310Z         >>>      optim.SGD,
2025-08-14T20:56:26.6629360Z         >>>      [rref1, rref2],
2025-08-14T20:56:26.6629410Z         >>>      lr=0.05,
2025-08-14T20:56:26.6629450Z         >>>   )
2025-08-14T20:56:26.6629510Z         >>>   dist_optim.step(context_id)
2025-08-14T20:56:26.6629550Z     
2025-08-14T20:56:26.6629640Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-08-14T20:56:26.6629680Z     
2025-08-14T20:56:26.6629830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6629870Z     
2025-08-14T20:56:26.6629920Z       warnings.warn(msg)
2025-08-14T20:56:26.6629960Z     
2025-08-14T20:56:26.6630060Z --- Parse Warning: 77 / 146 ---
2025-08-14T20:56:26.6630810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-08-14T20:56:26.6630970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6631010Z     
2025-08-14T20:56:26.6631250Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-08-14T20:56:26.6631290Z     
2025-08-14T20:56:26.6631430Z     The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-08-14T20:56:26.6631470Z     
2025-08-14T20:56:26.6631560Z     The local optimizer instance in each rank is only
2025-08-14T20:56:26.6631700Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-08-14T20:56:26.6631820Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-08-14T20:56:26.6632060Z     parameters are updated locally, each rank will broadcast its parameters to
2025-08-14T20:56:26.6632180Z     all other peers to keep all model replicas in the same state.
2025-08-14T20:56:26.6632300Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-08-14T20:56:26.6632450Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-08-14T20:56:26.6632510Z     memory consumption.
2025-08-14T20:56:26.6632540Z     
2025-08-14T20:56:26.6632690Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-08-14T20:56:26.6632830Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-08-14T20:56:26.6632980Z     not divided among ranks. The partition is arbitrary and might not match the
2025-08-14T20:56:26.6633050Z     the parameter registration or usage order.
2025-08-14T20:56:26.6633090Z     
2025-08-14T20:56:26.6633130Z     Arguments:
2025-08-14T20:56:26.6633250Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-08-14T20:56:26.6633370Z             or :class:`dict` s giving all parameters, which will be sharded
2025-08-14T20:56:26.6633420Z             across ranks.
2025-08-14T20:56:26.6634320Z     
2025-08-14T20:56:26.6634380Z     Keyword Args:
2025-08-14T20:56:26.6634530Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-08-14T20:56:26.6634580Z             optimizer.
2025-08-14T20:56:26.6634710Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-08-14T20:56:26.6634830Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-08-14T20:56:26.6634920Z             :meth:`torch.distributed.init_process_group`).
2025-08-14T20:56:26.6635070Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-08-14T20:56:26.6635200Z             packed into buckets to speed up communication, and ``param.data``
2025-08-14T20:56:26.6635320Z             fields point to bucket views at different offsets; if ``False``,
2025-08-14T20:56:26.6635450Z             each individual parameter is communicated separately, and each
2025-08-14T20:56:26.6635620Z             ``params.data`` stays intact (default: ``False``).
2025-08-14T20:56:26.6635750Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-08-14T20:56:26.6635870Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-08-14T20:56:26.6636000Z             synchronization; this requires (1) either a functional optimizer
2025-08-14T20:56:26.6636110Z             for the ``optimizer_class`` argument or one with a functional
2025-08-14T20:56:26.6636220Z             equivalent and (2) registering a DDP communication hook
2025-08-14T20:56:26.6636340Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-08-14T20:56:26.6636440Z             parameters are packed into buckets matching those in
2025-08-14T20:56:26.6636530Z             :class:`DistributedDataParallel`, meaning that the
2025-08-14T20:56:26.6636620Z             ``parameters_as_bucket_view`` argument is ignored.
2025-08-14T20:56:26.6636740Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-08-14T20:56:26.6636800Z             (per normal).
2025-08-14T20:56:26.6636860Z             (default: ``False``)
2025-08-14T20:56:26.6636980Z         **defaults: any trailing arguments, which are forwarded to the local
2025-08-14T20:56:26.6637030Z             optimizer.
2025-08-14T20:56:26.6637070Z     
2025-08-14T20:56:26.6637120Z     Example::
2025-08-14T20:56:26.6637160Z     
2025-08-14T20:56:26.6637210Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6637270Z         >>> import torch.nn as nn
2025-08-14T20:56:26.6637390Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-08-14T20:56:26.6637510Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-08-14T20:56:26.6637650Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-08-14T20:56:26.6637830Z         >>> ddp = DDP(model, device_ids=[rank])
2025-08-14T20:56:26.6637900Z         >>> opt = ZeroRedundancyOptimizer(
2025-08-14T20:56:26.6637960Z         >>>     ddp.parameters(),
2025-08-14T20:56:26.6638030Z         >>>     optimizer_class=torch.optim.Adam,
2025-08-14T20:56:26.6638080Z         >>>     lr=0.01
2025-08-14T20:56:26.6638120Z         >>> )
2025-08-14T20:56:26.6638180Z         >>> ddp(inputs).sum().backward()
2025-08-14T20:56:26.6638230Z         >>> opt.step()
2025-08-14T20:56:26.6638270Z     
2025-08-14T20:56:26.6638310Z     .. warning::
2025-08-14T20:56:26.6638440Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-08-14T20:56:26.6638530Z         passed-in parameters are the same dense type.
2025-08-14T20:56:26.6638570Z     
2025-08-14T20:56:26.6638610Z     .. warning::
2025-08-14T20:56:26.6638740Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-08-14T20:56:26.6638860Z         the way that overlapping :class:`DistributedDataParallel` with
2025-08-14T20:56:26.6639000Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-08-14T20:56:26.6639140Z         two or three training iterations do not perform parameter updates in
2025-08-14T20:56:26.6639340Z         the optimizer step, depending on if ``static_graph=False`` or
2025-08-14T20:56:26.6639460Z         ``static_graph=True``, respectively. This is because it needs
2025-08-14T20:56:26.6639570Z         information about the gradient bucketing strategy used by
2025-08-14T20:56:26.6639700Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-08-14T20:56:26.6639820Z         second forward pass if ``static_graph=False`` or until the third
2025-08-14T20:56:26.6639940Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-08-14T20:56:26.6640000Z         is to prepend dummy inputs.
2025-08-14T20:56:26.6640040Z     
2025-08-14T20:56:26.6640190Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-08-14T20:56:26.6640230Z     
2025-08-14T20:56:26.6640380Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6640470Z     
2025-08-14T20:56:26.6640520Z       warnings.warn(msg)
2025-08-14T20:56:26.6640560Z     
2025-08-14T20:56:26.6640720Z --- Parse Warning: 78 / 146 ---
2025-08-14T20:56:26.6641530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-08-14T20:56:26.6641690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6641840Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-14T20:56:26.6641880Z     
2025-08-14T20:56:26.6642040Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-08-14T20:56:26.6642170Z             The target module does not have to be a FSDP module. If the target
2025-08-14T20:56:26.6642300Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-08-14T20:56:26.6642340Z     
2025-08-14T20:56:26.6642460Z             .. note:: This API should be called for only the top-level (root)
2025-08-14T20:56:26.6642510Z                 module.
2025-08-14T20:56:26.6642540Z     
2025-08-14T20:56:26.6642670Z             .. note:: This API enables users to transparently use the conventional
2025-08-14T20:56:26.6642780Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-08-14T20:56:26.6642910Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-08-14T20:56:26.6643040Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-08-14T20:56:26.6643250Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-08-14T20:56:26.6643300Z                 for FSDP:
2025-08-14T20:56:26.6643340Z     
2025-08-14T20:56:26.6643390Z             Example::
2025-08-14T20:56:26.6643430Z     
2025-08-14T20:56:26.6643520Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6643580Z                 >>> model = DDP(FSDP(...))
2025-08-14T20:56:26.6643640Z                 >>> FSDP.set_state_dict_type(
2025-08-14T20:56:26.6643690Z                 >>>     model,
2025-08-14T20:56:26.6643770Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-14T20:56:26.6643900Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-08-14T20:56:26.6644050Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-08-14T20:56:26.6644090Z                 >>> )
2025-08-14T20:56:26.6644170Z                 >>> param_state_dict = model.state_dict()
2025-08-14T20:56:26.6644270Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-14T20:56:26.6644320Z     
2025-08-14T20:56:26.6644490Z             Args:
2025-08-14T20:56:26.6644570Z                 module (torch.nn.Module): Root module.
2025-08-14T20:56:26.6644710Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-14T20:56:26.6644850Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-08-14T20:56:26.6644920Z                     target ``state_dict_type``.
2025-08-14T20:56:26.6645070Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-08-14T20:56:26.6645140Z                     for the optimizer state dict.
2025-08-14T20:56:26.6645180Z     
2025-08-14T20:56:26.6645220Z             Returns:
2025-08-14T20:56:26.6645350Z                 A StateDictSettings that include the previous state_dict type and
2025-08-14T20:56:26.6645420Z                 configuration for the module.
2025-08-14T20:56:26.6645460Z             
2025-08-14T20:56:26.6645670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6645710Z     
2025-08-14T20:56:26.6645770Z       warnings.warn(msg)
2025-08-14T20:56:26.6645800Z     
2025-08-14T20:56:26.6645910Z --- Parse Warning: 79 / 146 ---
2025-08-14T20:56:26.6646700Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-08-14T20:56:26.6646860Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6647000Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-08-14T20:56:26.6647040Z     
2025-08-14T20:56:26.6647240Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-08-14T20:56:26.6647320Z             :meth:`set_state_dict_type` for the detail.
2025-08-14T20:56:26.6647360Z     
2025-08-14T20:56:26.6647400Z             Example::
2025-08-14T20:56:26.6647450Z     
2025-08-14T20:56:26.6647530Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6647590Z                 >>> model = DDP(FSDP(...))
2025-08-14T20:56:26.6647650Z                 >>> with FSDP.state_dict_type(
2025-08-14T20:56:26.6647700Z                 >>>     model,
2025-08-14T20:56:26.6647780Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-08-14T20:56:26.6647820Z                 >>> ):
2025-08-14T20:56:26.6647900Z                 >>>     checkpoint = model.state_dict()
2025-08-14T20:56:26.6647930Z     
2025-08-14T20:56:26.6647980Z             Args:
2025-08-14T20:56:26.6648050Z                 module (torch.nn.Module): Root module.
2025-08-14T20:56:26.6648260Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-08-14T20:56:26.6648400Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-08-14T20:56:26.6648500Z                     configuration for the target ``state_dict_type``.
2025-08-14T20:56:26.6648640Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-08-14T20:56:26.6648760Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-08-14T20:56:26.6648800Z             
2025-08-14T20:56:26.6648950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6648990Z     
2025-08-14T20:56:26.6649050Z       warnings.warn(msg)
2025-08-14T20:56:26.6649080Z     
2025-08-14T20:56:26.6649190Z --- Parse Warning: 80 / 146 ---
2025-08-14T20:56:26.6649980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-08-14T20:56:26.6650260Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6650300Z     
2025-08-14T20:56:26.6650450Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-08-14T20:56:26.6650490Z     
2025-08-14T20:56:26.6650600Z     The given state-dict can be transformed to one of three types:
2025-08-14T20:56:26.6650780Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-08-14T20:56:26.6650830Z     
2025-08-14T20:56:26.6650970Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-08-14T20:56:26.6651090Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-08-14T20:56:26.6651140Z     avoid OOM.
2025-08-14T20:56:26.6651180Z     
2025-08-14T20:56:26.6651370Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-08-14T20:56:26.6651500Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-08-14T20:56:26.6651540Z     memory.
2025-08-14T20:56:26.6651580Z     
2025-08-14T20:56:26.6651710Z     For local state_dict, no transformation will be performed. But a state
2025-08-14T20:56:26.6651850Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-08-14T20:56:26.6651910Z     nature (this is not supported yet).
2025-08-14T20:56:26.6651950Z     
2025-08-14T20:56:26.6651990Z     Example::
2025-08-14T20:56:26.6652030Z     
2025-08-14T20:56:26.6652110Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6652260Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:26.6652350Z         >>> from torch.distributed.fsdp import StateDictType
2025-08-14T20:56:26.6652460Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-14T20:56:26.6652590Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-14T20:56:26.6652650Z         >>> # Save a checkpoint
2025-08-14T20:56:26.6652700Z         >>> model, optim = ...
2025-08-14T20:56:26.6652760Z         >>> FSDP.set_state_dict_type(
2025-08-14T20:56:26.6652800Z         >>>     model,
2025-08-14T20:56:26.6652870Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:26.6652950Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6653040Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6653080Z         >>> )
2025-08-14T20:56:26.6653140Z         >>> state_dict = model.state_dict()
2025-08-14T20:56:26.6653250Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-08-14T20:56:26.6653330Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-14T20:56:26.6653390Z         >>> # Load a checkpoint
2025-08-14T20:56:26.6653520Z         >>> model, optim = ...
2025-08-14T20:56:26.6653620Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-14T20:56:26.6653680Z         >>> FSDP.set_state_dict_type(
2025-08-14T20:56:26.6653730Z         >>>     model,
2025-08-14T20:56:26.6653800Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:26.6653870Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6653960Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6654000Z         >>> )
2025-08-14T20:56:26.6654070Z         >>> model.load_state_dict(state_dict)
2025-08-14T20:56:26.6654160Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:26.6654220Z         >>>     model, optim, optim_state_dict
2025-08-14T20:56:26.6654260Z         >>> )
2025-08-14T20:56:26.6654340Z         >>> optim.load_state_dict(optim_state_dict)
2025-08-14T20:56:26.6654370Z     
2025-08-14T20:56:26.6654420Z     Args:
2025-08-14T20:56:26.6654540Z         model (torch.nn.Module): Root module (which may or may not be a
2025-08-14T20:56:26.6654660Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-14T20:56:26.6654840Z             were passed into the optimizer ``optim``.
2025-08-14T20:56:26.6654950Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-14T20:56:26.6655000Z             parameters.
2025-08-14T20:56:26.6655130Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-08-14T20:56:26.6655260Z             transform. If the value is None, optim.state_dict() will be used. (
2025-08-14T20:56:26.6655310Z             Default: ``None``)
2025-08-14T20:56:26.6655460Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-08-14T20:56:26.6655570Z             are sharded or ``None`` if using the default process group. (
2025-08-14T20:56:26.6655620Z             Default: ``None``)
2025-08-14T20:56:26.6655660Z     
2025-08-14T20:56:26.6655700Z     Returns:
2025-08-14T20:56:26.6655860Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-08-14T20:56:26.6661970Z         ``model``. The sharding of the optimizer state is based on
2025-08-14T20:56:26.6662030Z         ``state_dict_type``.
2025-08-14T20:56:26.6662080Z     
2025-08-14T20:56:26.6662240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6662290Z     
2025-08-14T20:56:26.6662340Z       warnings.warn(msg)
2025-08-14T20:56:26.6662390Z     
2025-08-14T20:56:26.6662520Z --- Parse Warning: 81 / 146 ---
2025-08-14T20:56:26.6663380Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-08-14T20:56:26.6663550Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6663600Z     
2025-08-14T20:56:26.6663820Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-08-14T20:56:26.6663860Z     
2025-08-14T20:56:26.6663970Z     Given a ``optim_state_dict`` that is transformed through
2025-08-14T20:56:26.6664110Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-08-14T20:56:26.6664240Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-08-14T20:56:26.6664360Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-08-14T20:56:26.6664400Z     
2025-08-14T20:56:26.6664480Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6664640Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:26.6664740Z         >>> from torch.distributed.fsdp import StateDictType
2025-08-14T20:56:26.6664990Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-08-14T20:56:26.6665130Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-08-14T20:56:26.6665190Z         >>> # Save a checkpoint
2025-08-14T20:56:26.6665250Z         >>> model, optim = ...
2025-08-14T20:56:26.6665310Z         >>> FSDP.set_state_dict_type(
2025-08-14T20:56:26.6665360Z         >>>     model,
2025-08-14T20:56:26.6665430Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:26.6665520Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6665610Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6665650Z         >>> )
2025-08-14T20:56:26.6665720Z         >>> state_dict = model.state_dict()
2025-08-14T20:56:26.6665790Z         >>> original_osd = optim.state_dict()
2025-08-14T20:56:26.6665870Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-08-14T20:56:26.6665920Z         >>>     model,
2025-08-14T20:56:26.6665970Z         >>>     optim,
2025-08-14T20:56:26.6666040Z         >>>     optim_state_dict=original_osd
2025-08-14T20:56:26.6666170Z         >>> )
2025-08-14T20:56:26.6666260Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-08-14T20:56:26.6666320Z         >>> # Load a checkpoint
2025-08-14T20:56:26.6666380Z         >>> model, optim = ...
2025-08-14T20:56:26.6666480Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-08-14T20:56:26.6666540Z         >>> FSDP.set_state_dict_type(
2025-08-14T20:56:26.6666580Z         >>>     model,
2025-08-14T20:56:26.6666660Z         >>>     StateDictType.FULL_STATE_DICT,
2025-08-14T20:56:26.6666750Z         >>>     FullStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6666830Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-08-14T20:56:26.6666880Z         >>> )
2025-08-14T20:56:26.6666950Z         >>> model.load_state_dict(state_dict)
2025-08-14T20:56:26.6667050Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-08-14T20:56:26.6667120Z         >>>     model, optim, optim_state_dict
2025-08-14T20:56:26.6667200Z         >>> )
2025-08-14T20:56:26.6667280Z         >>> optim.load_state_dict(optim_state_dict)
2025-08-14T20:56:26.6667320Z     
2025-08-14T20:56:26.6667360Z     Args:
2025-08-14T20:56:26.6667490Z         model (torch.nn.Module): Root module (which may or may not be a
2025-08-14T20:56:26.6667620Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-08-14T20:56:26.6667700Z             were passed into the optimizer ``optim``.
2025-08-14T20:56:26.6667820Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-08-14T20:56:26.6667870Z             parameters.
2025-08-14T20:56:26.6668010Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-08-14T20:56:26.6668130Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-08-14T20:56:26.6668260Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-08-14T20:56:26.6668370Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-08-14T20:56:26.6668500Z         load_directly (bool): If this is set to True, this API will also
2025-08-14T20:56:26.6668620Z             call optim.load_state_dict(result) before returning the result.
2025-08-14T20:56:26.6668770Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-08-14T20:56:26.6668830Z             (Default: ``False``)
2025-08-14T20:56:26.6668980Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-08-14T20:56:26.6669100Z             are sharded or ``None`` if using the default process group. (
2025-08-14T20:56:26.6669160Z             Default: ``None``)
2025-08-14T20:56:26.6669200Z     
2025-08-14T20:56:26.6669350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6669390Z     
2025-08-14T20:56:26.6669450Z       warnings.warn(msg)
2025-08-14T20:56:26.6669490Z     
2025-08-14T20:56:26.6669650Z --- Parse Warning: 82 / 146 ---
2025-08-14T20:56:26.6670350Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-08-14T20:56:26.6670510Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6670570Z     
2025-08-14T20:56:26.6670680Z     This configures FSDP-native mixed precision training.
2025-08-14T20:56:26.6670720Z     
2025-08-14T20:56:26.6670760Z     Attributes:
2025-08-14T20:56:26.6670910Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-08-14T20:56:26.6671040Z             parameters during forward and backward and thus the dtype for
2025-08-14T20:56:26.6671180Z             forward and backward computation. Outside forward and backward, the
2025-08-14T20:56:26.6671300Z             *sharded* parameters are kept in full precision (e.g. for the
2025-08-14T20:56:26.6672470Z             optimizer step), and for model checkpointing, the parameters are
2025-08-14T20:56:26.6672590Z             always saved in full precision. (Default: ``None``)
2025-08-14T20:56:26.6673180Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-14T20:56:26.6674280Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-08-14T20:56:26.6674880Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-08-14T20:56:26.6675480Z             the ``param_dtype`` value, still running gradient reduction in low
2025-08-14T20:56:26.6679790Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-08-14T20:56:26.6705090Z             to force gradient reduction to run in full precision. (Default:
2025-08-14T20:56:26.6705180Z             ``None``)
2025-08-14T20:56:26.6705340Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-08-14T20:56:26.6705650Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-08-14T20:56:26.6705770Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-08-14T20:56:26.6705900Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-08-14T20:56:26.6706010Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-08-14T20:56:26.6706060Z             ``None``)
2025-08-14T20:56:26.6706180Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-08-14T20:56:26.6706310Z             gradients to full precision after the backward pass in preparation
2025-08-14T20:56:26.6706440Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-08-14T20:56:26.6706560Z             in the dtype used for gradient reduction, which can save memory if
2025-08-14T20:56:26.6706690Z             using a custom optimizer that supports running in low precision.
2025-08-14T20:56:26.6706740Z             (Default: ``False``)
2025-08-14T20:56:26.6706870Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-08-14T20:56:26.6706990Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-08-14T20:56:26.6707130Z             that parameter and input dtypes match for forward computation, as
2025-08-14T20:56:26.6707250Z             required by many ops. This may need to be set to ``True`` when only
2025-08-14T20:56:26.6707390Z             applying mixed precision to some but not all FSDP modules, in which
2025-08-14T20:56:26.6707510Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-08-14T20:56:26.6707570Z             (Default: ``False``)
2025-08-14T20:56:26.6707700Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-08-14T20:56:26.6707830Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-08-14T20:56:26.6708010Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-08-14T20:56:26.6708100Z             this does not do anything. (Default: ``True``)
2025-08-14T20:56:26.6708230Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-08-14T20:56:26.6708340Z             module classes to ignore for mixed precision when using an
2025-08-14T20:56:26.6708450Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-08-14T20:56:26.6708580Z             applied to them separately with mixed precision disabled (meaning
2025-08-14T20:56:26.6708700Z             that the final FSDP construction would deviate from the specified
2025-08-14T20:56:26.6708820Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-08-14T20:56:26.6708940Z             not do anything. This API is experimental and subject to change.
2025-08-14T20:56:26.6709000Z             (Default: ``(_BatchNorm,)``)
2025-08-14T20:56:26.6709040Z     
2025-08-14T20:56:26.6709160Z     .. note:: This API is experimental and subject to change.
2025-08-14T20:56:26.6709360Z     
2025-08-14T20:56:26.6709490Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-08-14T20:56:26.6709530Z     
2025-08-14T20:56:26.6709640Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-08-14T20:56:26.6709700Z         precision, but buffers are not.
2025-08-14T20:56:26.6709740Z     
2025-08-14T20:56:26.6709870Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-08-14T20:56:26.6709990Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-08-14T20:56:26.6710130Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-08-14T20:56:26.6710260Z         the affine parameters are kept in ``float32``. However, this incurs
2025-08-14T20:56:26.6710390Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-08-14T20:56:26.6710530Z         may be inefficient, so if the workload permits, the user should prefer
2025-08-14T20:56:26.6710640Z         to still apply mixed precision to those modules.
2025-08-14T20:56:26.6710680Z     
2025-08-14T20:56:26.6710810Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-08-14T20:56:26.6710930Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-08-14T20:56:26.6711060Z         modules will have FSDP applied to them separately with mixed precision
2025-08-14T20:56:26.6711170Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-08-14T20:56:26.6711210Z     
2025-08-14T20:56:26.6711340Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-08-14T20:56:26.6711460Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-08-14T20:56:26.6711570Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-08-14T20:56:26.6711680Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-08-14T20:56:26.6711810Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-08-14T20:56:26.6711940Z         sufficient for the typical case where each FSDP instance has the same
2025-08-14T20:56:26.6712080Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-08-14T20:56:26.6712190Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-08-14T20:56:26.6712230Z     
2025-08-14T20:56:26.6712350Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-08-14T20:56:26.6712490Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-08-14T20:56:26.6712620Z         values to configure casting inputs or not before each instance's
2025-08-14T20:56:26.6712740Z         forward. In such a case, since the casts happen before each FSDP
2025-08-14T20:56:26.6712870Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-08-14T20:56:26.6713070Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-08-14T20:56:26.6713200Z         being changed due to a different ``MixedPrecision`` configuration.
2025-08-14T20:56:26.6713240Z     
2025-08-14T20:56:26.6713280Z         Example::
2025-08-14T20:56:26.6713320Z     
2025-08-14T20:56:26.6713410Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6713510Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-08-14T20:56:26.6713570Z             >>> model[1] = FSDP(
2025-08-14T20:56:26.6713620Z             >>>     model[1],
2025-08-14T20:56:26.6713800Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-08-14T20:56:26.6713840Z             >>> )
2025-08-14T20:56:26.6713890Z             >>> model = FSDP(
2025-08-14T20:56:26.6713940Z             >>>     model,
2025-08-14T20:56:26.6714120Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-08-14T20:56:26.6714160Z             >>> )
2025-08-14T20:56:26.6714260Z     
2025-08-14T20:56:26.6714400Z         The above shows a working example. On the other hand, if ``model[1]``
2025-08-14T20:56:26.6714520Z         were replaced with ``model[0]``, meaning that the submodule using
2025-08-14T20:56:26.6714650Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-08-14T20:56:26.6714780Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-08-14T20:56:26.6714820Z         ones.
2025-08-14T20:56:26.6714860Z     
2025-08-14T20:56:26.6714900Z     
2025-08-14T20:56:26.6715040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6715090Z     
2025-08-14T20:56:26.6715140Z       warnings.warn(msg)
2025-08-14T20:56:26.6715180Z     
2025-08-14T20:56:26.6715370Z --- Parse Warning: 83 / 146 ---
2025-08-14T20:56:26.6716060Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-08-14T20:56:26.6716250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6716290Z     
2025-08-14T20:56:26.6716410Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-08-14T20:56:26.6716530Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-08-14T20:56:26.6716650Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-08-14T20:56:26.6716790Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-08-14T20:56:26.6716910Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-08-14T20:56:26.6716960Z     follows:
2025-08-14T20:56:26.6717000Z     
2025-08-14T20:56:26.6717080Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6717220Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-08-14T20:56:26.6717310Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-08-14T20:56:26.6717420Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-08-14T20:56:26.6717560Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-08-14T20:56:26.6717620Z         >>>     state = fsdp.state_dict()
2025-08-14T20:56:26.6717750Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-08-14T20:56:26.6717890Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-08-14T20:56:26.6718030Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-08-14T20:56:26.6718090Z         >>> if dist.get_rank() == 0:
2025-08-14T20:56:26.6718240Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-08-14T20:56:26.6718340Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-08-14T20:56:26.6718410Z         >>>     model.load_state_dict(state_dict)
2025-08-14T20:56:26.6718550Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-08-14T20:56:26.6718690Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-08-14T20:56:26.6718750Z         >>> fsdp = FSDP(
2025-08-14T20:56:26.6718790Z         ...     model,
2025-08-14T20:56:26.6718870Z         ...     device_id=torch.cuda.current_device(),
2025-08-14T20:56:26.6718930Z         ...     auto_wrap_policy=...,
2025-08-14T20:56:26.6718990Z         ...     sync_module_states=True,
2025-08-14T20:56:26.6719030Z         ... )
2025-08-14T20:56:26.6719160Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-08-14T20:56:26.6719200Z     
2025-08-14T20:56:26.6719240Z     Attributes:
2025-08-14T20:56:26.6719370Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-08-14T20:56:26.6719490Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-08-14T20:56:26.6719650Z             ranks save the full state dict. (Default: ``False``)
2025-08-14T20:56:26.6719690Z     
2025-08-14T20:56:26.6719840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6719880Z     
2025-08-14T20:56:26.6719930Z       warnings.warn(msg)
2025-08-14T20:56:26.6719970Z     
2025-08-14T20:56:26.6720080Z --- Parse Warning: 84 / 146 ---
2025-08-14T20:56:26.6720810Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-08-14T20:56:26.6720970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6721030Z     
2025-08-14T20:56:26.6721170Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-08-14T20:56:26.6721260Z     Needs to be called on all ranks in an SPMD fashion.
2025-08-14T20:56:26.6721300Z     
2025-08-14T20:56:26.6721340Z     Args:
2025-08-14T20:56:26.6721510Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-08-14T20:56:26.6721610Z             of shards that represent the local shards on this rank.
2025-08-14T20:56:26.6721750Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-08-14T20:56:26.6721830Z             shape of the overall sharded tensor.
2025-08-14T20:56:26.6721870Z     
2025-08-14T20:56:26.6721910Z     Keyword args:
2025-08-14T20:56:26.6722070Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-08-14T20:56:26.6722140Z             the default process group will be used.
2025-08-14T20:56:26.6722250Z         init_rrefs (bool, optional): Whether or not to initialize
2025-08-14T20:56:26.6722390Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-14T20:56:26.6722500Z             Need to initialize the RPC Framework if specified as ``True``.
2025-08-14T20:56:26.6722560Z             Default: ``False``.
2025-08-14T20:56:26.6722600Z     
2025-08-14T20:56:26.6722640Z     Returns:
2025-08-14T20:56:26.6722730Z         A :class:`ShardedTensor` object handle on this rank
2025-08-14T20:56:26.6722770Z     
2025-08-14T20:56:26.6722810Z     
2025-08-14T20:56:26.6722850Z     Examples:
2025-08-14T20:56:26.6723000Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-08-14T20:56:26.6723120Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-08-14T20:56:26.6723160Z     
2025-08-14T20:56:26.6723200Z         on rank 0:
2025-08-14T20:56:26.6723310Z         >>> # xdoctest: +SKIP("not distributed")
2025-08-14T20:56:26.6723390Z         >>> local_shard_metadata = ShardMetadata(
2025-08-14T20:56:26.6723450Z         >>>     shard_offsets=[0, 0],
2025-08-14T20:56:26.6723510Z         >>>     shard_lengths=[5, 5],
2025-08-14T20:56:26.6723570Z         >>>     placement="rank:0/cuda:0"
2025-08-14T20:56:26.6723610Z         >>> )
2025-08-14T20:56:26.6723730Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-14T20:56:26.6723850Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-14T20:56:26.6723890Z     
2025-08-14T20:56:26.6723940Z         on rank 1:
2025-08-14T20:56:26.6724010Z         >>> # xdoctest: +SKIP("not distributed")
2025-08-14T20:56:26.6724080Z         >>> local_shard_metadata = ShardMetadata(
2025-08-14T20:56:26.6724130Z         >>>     shard_offsets=[5, 0],
2025-08-14T20:56:26.6724190Z         >>>     shard_lengths=[5, 5],
2025-08-14T20:56:26.6724250Z         >>>     placement="rank:1/cuda:1"
2025-08-14T20:56:26.6724290Z         >>> )
2025-08-14T20:56:26.6724410Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-08-14T20:56:26.6724580Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-08-14T20:56:26.6724620Z     
2025-08-14T20:56:26.6724770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6724810Z     
2025-08-14T20:56:26.6724860Z       warnings.warn(msg)
2025-08-14T20:56:26.6724900Z     
2025-08-14T20:56:26.6725000Z --- Parse Warning: 85 / 146 ---
2025-08-14T20:56:26.6725750Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-08-14T20:56:26.6725910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6725990Z     
2025-08-14T20:56:26.6726140Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-08-14T20:56:26.6726210Z     size and sharding spec on each rank.
2025-08-14T20:56:26.6726250Z     
2025-08-14T20:56:26.6726290Z     Args:
2025-08-14T20:56:26.6726420Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-08-14T20:56:26.6726580Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-08-14T20:56:26.6726680Z             The specification describing how to shard the Tensor.
2025-08-14T20:56:26.6726780Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-08-14T20:56:26.6726930Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-08-14T20:56:26.6726990Z             Default: None
2025-08-14T20:56:26.6727090Z         init_rrefs (bool, optional): Whether or not to initialize
2025-08-14T20:56:26.6727220Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-08-14T20:56:26.6727330Z             Need to initialize the RPC Framework if specified as ``True``.
2025-08-14T20:56:26.6727390Z             Default: ``False``.
2025-08-14T20:56:26.6727430Z     
2025-08-14T20:56:26.6727470Z     Returns:
2025-08-14T20:56:26.6727620Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-08-14T20:56:26.6727680Z             tensor stored in the current rank.
2025-08-14T20:56:26.6727720Z     
2025-08-14T20:56:26.6727770Z     Examples:
2025-08-14T20:56:26.6727820Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6727910Z         >>> # All tensors below are of torch.int64 type.
2025-08-14T20:56:26.6727980Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6728080Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-08-14T20:56:26.6728200Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-08-14T20:56:26.6728280Z         >>> local_tensor
2025-08-14T20:56:26.6728340Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-08-14T20:56:26.6728400Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-08-14T20:56:26.6728450Z         >>> sharding_dim = 0
2025-08-14T20:56:26.6728520Z         >>> sharding_spec = ChunkShardingSpec(
2025-08-14T20:56:26.6728570Z                 dim=sharding_dim,
2025-08-14T20:56:26.6728630Z                 placements=[
2025-08-14T20:56:26.6728680Z                     "rank:0/cuda:0",
2025-08-14T20:56:26.6728740Z                     "rank:1/cuda:1",
2025-08-14T20:56:26.6728780Z                 ],
2025-08-14T20:56:26.6728820Z             )
2025-08-14T20:56:26.6728900Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-08-14T20:56:26.6728970Z         ...     local_tensor, sharding_spec, [2, 4]
2025-08-14T20:56:26.6729010Z         ... )
2025-08-14T20:56:26.6729050Z         >>> st
2025-08-14T20:56:26.6729100Z         ShardedTensor(
2025-08-14T20:56:26.6729160Z             ShardedTensorMetadata(
2025-08-14T20:56:26.6729220Z                 shards_metadata=[
2025-08-14T20:56:26.6729390Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-08-14T20:56:26.6729610Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-08-14T20:56:26.6729650Z                 ],
2025-08-14T20:56:26.6729720Z                 size=torch.Size([2, 4])
2025-08-14T20:56:26.6729760Z         )
2025-08-14T20:56:26.6729810Z         >>> st.local_tensor()
2025-08-14T20:56:26.6729860Z         tensor([1, 2, 3, 4]) # Rank 0
2025-08-14T20:56:26.6729920Z         tensor([3, 4, 5, 6]) # Rank 1
2025-08-14T20:56:26.6729950Z     
2025-08-14T20:56:26.6730110Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-08-14T20:56:26.6730260Z              rank validations, and we only validate the local shard on the current rank.
2025-08-14T20:56:26.6730390Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-08-14T20:56:26.6730470Z              sharding spec.
2025-08-14T20:56:26.6730510Z     
2025-08-14T20:56:26.6730660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6730700Z     
2025-08-14T20:56:26.6730750Z       warnings.warn(msg)
2025-08-14T20:56:26.6730790Z     
2025-08-14T20:56:26.6730900Z --- Parse Warning: 86 / 146 ---
2025-08-14T20:56:26.6731620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-08-14T20:56:26.6731770Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6731810Z     
2025-08-14T20:56:26.6731960Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-08-14T20:56:26.6732010Z     single local shard.
2025-08-14T20:56:26.6732060Z     
2025-08-14T20:56:26.6732190Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-08-14T20:56:26.6732340Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-08-14T20:56:26.6732400Z     we swap local shards directly.
2025-08-14T20:56:26.6732550Z     For more generic cases, we merge different shards across different ranks and split
2025-08-14T20:56:26.6732700Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-08-14T20:56:26.6732740Z     
2025-08-14T20:56:26.6732780Z     Args:
2025-08-14T20:56:26.6732950Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-08-14T20:56:26.6733060Z             specification describing how the tensor is sharded.
2025-08-14T20:56:26.6733100Z     
2025-08-14T20:56:26.6733140Z     Returns:
2025-08-14T20:56:26.6733320Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-08-14T20:56:26.6733360Z     
2025-08-14T20:56:26.6733410Z     Examples:
2025-08-14T20:56:26.6733460Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6733530Z         >>> # We have 2 process groups, 2 ranks.
2025-08-14T20:56:26.6733640Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-08-14T20:56:26.6733710Z         >>> tensor = torch.stack([tensor, tensor])
2025-08-14T20:56:26.6733760Z         >>> tensor
2025-08-14T20:56:26.6733830Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-08-14T20:56:26.6733900Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-08-14T20:56:26.6733970Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-08-14T20:56:26.6734050Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-08-14T20:56:26.6734100Z         >>> sharding_dim = 0
2025-08-14T20:56:26.6734160Z         >>> spec = ChunkShardingSpec(
2025-08-14T20:56:26.6734220Z                 dim=sharding_dim,
2025-08-14T20:56:26.6734270Z                 placements=[
2025-08-14T20:56:26.6734320Z                     "rank:0/cuda:0",
2025-08-14T20:56:26.6734430Z                     "rank:1/cuda:1",
2025-08-14T20:56:26.6734480Z                     "rank:2/cuda:2",
2025-08-14T20:56:26.6734530Z                     "rank:3/cuda:3",
2025-08-14T20:56:26.6734570Z                 ],
2025-08-14T20:56:26.6734620Z             )
2025-08-14T20:56:26.6734670Z         >>> current_offsets = [0] * 2
2025-08-14T20:56:26.6734730Z         >>> current_offsets[0] = rank * 2
2025-08-14T20:56:26.6734790Z         >>> shard_metadata = ShardMetadata(
2025-08-14T20:56:26.6734890Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-08-14T20:56:26.6734950Z                 shard_sizes=tensor.size(),
2025-08-14T20:56:26.6735030Z                 placement=spec.placements[rank],
2025-08-14T20:56:26.6735070Z             )
2025-08-14T20:56:26.6735120Z         >>> local_shards = [
2025-08-14T20:56:26.6735170Z                 Shard(
2025-08-14T20:56:26.6735220Z                     tensor=tensor,
2025-08-14T20:56:26.6735310Z                     metadata=shard_metadata,
2025-08-14T20:56:26.6735350Z                 )
2025-08-14T20:56:26.6735390Z             ]
2025-08-14T20:56:26.6735530Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-08-14T20:56:26.6735580Z         >>> sharding_dim = 1
2025-08-14T20:56:26.6735660Z         >>> resharding_spec = ChunkShardingSpec(
2025-08-14T20:56:26.6735710Z                 dim=sharding_dim,
2025-08-14T20:56:26.6735760Z                 placements=[
2025-08-14T20:56:26.6735810Z                     "rank:0/cuda:0",
2025-08-14T20:56:26.6735860Z                     "rank:1/cuda:1",
2025-08-14T20:56:26.6735910Z                     "rank:2/cuda:2",
2025-08-14T20:56:26.6735960Z                     "rank:3/cuda:3",
2025-08-14T20:56:26.6736000Z                 ],
2025-08-14T20:56:26.6736040Z             )
2025-08-14T20:56:26.6736100Z         >>> st.reshard(resharding_spec)
2025-08-14T20:56:26.6736170Z         >>> tensor = st.local_shards()[0].tensor
2025-08-14T20:56:26.6736210Z         >>> tensor
2025-08-14T20:56:26.6736310Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-08-14T20:56:26.6736390Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-08-14T20:56:26.6736470Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-08-14T20:56:26.6736560Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-08-14T20:56:26.6736600Z     
2025-08-14T20:56:26.6736750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6736790Z     
2025-08-14T20:56:26.6736840Z       warnings.warn(msg)
2025-08-14T20:56:26.6736880Z     
2025-08-14T20:56:26.6736980Z --- Parse Warning: 87 / 146 ---
2025-08-14T20:56:26.6737720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-08-14T20:56:26.6737880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6737920Z     
2025-08-14T20:56:26.6738050Z     Representation of a sharding plan, describes how to shard a module
2025-08-14T20:56:26.6738210Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-08-14T20:56:26.6738380Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-08-14T20:56:26.6738530Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-08-14T20:56:26.6738570Z     
2025-08-14T20:56:26.6738610Z     Args:
2025-08-14T20:56:26.6738770Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-08-14T20:56:26.6738880Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-08-14T20:56:26.6739050Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-08-14T20:56:26.6739250Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-08-14T20:56:26.6739330Z                    a parameter to a `ShardingSpec`.
2025-08-14T20:56:26.6739480Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-08-14T20:56:26.6739540Z                    to a `Sharder` object.
2025-08-14T20:56:26.6739730Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-08-14T20:56:26.6739890Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-08-14T20:56:26.6740030Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-08-14T20:56:26.6740080Z             Default: `None`
2025-08-14T20:56:26.6740230Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-08-14T20:56:26.6740400Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-08-14T20:56:26.6740550Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-08-14T20:56:26.6740600Z             root module).
2025-08-14T20:56:26.6740640Z             Default: None
2025-08-14T20:56:26.6740680Z     Example:
2025-08-14T20:56:26.6740850Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-08-14T20:56:26.6741020Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-08-14T20:56:26.6741060Z     
2025-08-14T20:56:26.6741160Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-08-14T20:56:26.6741220Z         >>> class MyModule(nn.Module):
2025-08-14T20:56:26.6741280Z         >>>     def __init__(self) -> None:
2025-08-14T20:56:26.6741340Z         >>>        super().__init__()
2025-08-14T20:56:26.6741400Z         >>>        self.fc1 = nn.Linear()
2025-08-14T20:56:26.6741460Z         >>>        self.gelu = nn.GELU()
2025-08-14T20:56:26.6741520Z         >>>        self.fc2 = nn.Linear()
2025-08-14T20:56:26.6741580Z         >>>        self.relu = nn.Linear()
2025-08-14T20:56:26.6741620Z         >>>
2025-08-14T20:56:26.6741670Z         >>>     def forward(self, input):
2025-08-14T20:56:26.6741780Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-08-14T20:56:26.6741820Z     
2025-08-14T20:56:26.6741860Z     
2025-08-14T20:56:26.6741930Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-08-14T20:56:26.6742000Z         >>> sharding_plan = ShardingPlan(
2025-08-14T20:56:26.6742040Z         >>>    plan={
2025-08-14T20:56:26.6742090Z         >>>        "fc1.weight": spec1,
2025-08-14T20:56:26.6742150Z         >>>        "fc2.weight": spec2
2025-08-14T20:56:26.6742190Z         >>>    },
2025-08-14T20:56:26.6742280Z         >>>    output_plan={
2025-08-14T20:56:26.6742340Z         >>>        "fc2": output_spec
2025-08-14T20:56:26.6742390Z         >>>    },
2025-08-14T20:56:26.6742440Z         >>>    return_local_tensor=["fc2"]
2025-08-14T20:56:26.6742490Z         >>> )
2025-08-14T20:56:26.6742520Z     
2025-08-14T20:56:26.6742670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6742720Z     
2025-08-14T20:56:26.6742770Z       warnings.warn(msg)
2025-08-14T20:56:26.6742810Z     
2025-08-14T20:56:26.6742910Z --- Parse Warning: 88 / 146 ---
2025-08-14T20:56:26.6743650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-08-14T20:56:26.6743810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6743850Z     
2025-08-14T20:56:26.6744080Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-08-14T20:56:26.6744220Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-08-14T20:56:26.6744380Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-08-14T20:56:26.6744530Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-08-14T20:56:26.6744690Z     when users would like to overwrite default sharding strategies of existing operators.
2025-08-14T20:56:26.6744730Z     
2025-08-14T20:56:26.6744770Z     Args:
2025-08-14T20:56:26.6744850Z         op (Union[OpOverload, List[OpOverload]]):
2025-08-14T20:56:26.6744960Z             An op or a list of ops to register the customized sharding function.
2025-08-14T20:56:26.6745000Z     
2025-08-14T20:56:26.6745040Z     Returns:
2025-08-14T20:56:26.6745200Z         A function decorator which can be used to wrap a function that defines the sharding
2025-08-14T20:56:26.6745410Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-08-14T20:56:26.6745570Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-08-14T20:56:26.6745750Z         already implemented the operator. The customized sharding function takes the same inputs
2025-08-14T20:56:26.6745900Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-08-14T20:56:26.6746060Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-08-14T20:56:26.6746220Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-08-14T20:56:26.6746290Z         corresponding input placements.
2025-08-14T20:56:26.6746330Z     
2025-08-14T20:56:26.6746370Z     Example:
2025-08-14T20:56:26.6746440Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6746520Z         >>> @register_sharding(aten._softmax.default)
2025-08-14T20:56:26.6746620Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-08-14T20:56:26.6746710Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-08-14T20:56:26.6746770Z         >>>     acceptable_shardings = []
2025-08-14T20:56:26.6746820Z         >>>
2025-08-14T20:56:26.6746930Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-08-14T20:56:26.6747010Z         >>>     acceptable_shardings.append(all_replicate)
2025-08-14T20:56:26.6747050Z         >>>
2025-08-14T20:56:26.6747130Z         >>>     for sharding_dim in range(x.ndim):
2025-08-14T20:56:26.6752100Z         >>>         if sharding_dim != softmax_dim:
2025-08-14T20:56:26.6752160Z         >>>             all_sharded = (
2025-08-14T20:56:26.6752230Z         >>>                 [Shard(sharding_dim)],
2025-08-14T20:56:26.6752410Z         >>>                 [Shard(sharding_dim), None, None],
2025-08-14T20:56:26.6752460Z         >>>             )
2025-08-14T20:56:26.6752560Z         >>>             acceptable_shardings.append(all_sharded)
2025-08-14T20:56:26.6752610Z         >>>
2025-08-14T20:56:26.6752670Z         >>>     return acceptable_shardings
2025-08-14T20:56:26.6752720Z     
2025-08-14T20:56:26.6752840Z     .. note:: This API is currently experimental and subject to change
2025-08-14T20:56:26.6752880Z     
2025-08-14T20:56:26.6753030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6753070Z     
2025-08-14T20:56:26.6753130Z       warnings.warn(msg)
2025-08-14T20:56:26.6753160Z     
2025-08-14T20:56:26.6753280Z --- Parse Warning: 89 / 146 ---
2025-08-14T20:56:26.6753990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-08-14T20:56:26.6754230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6754270Z     
2025-08-14T20:56:26.6754430Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-08-14T20:56:26.6754600Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-08-14T20:56:26.6754760Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-08-14T20:56:26.6754850Z     :class:`DTensor` according to the ``out_placements``.
2025-08-14T20:56:26.6754890Z     
2025-08-14T20:56:26.6754930Z     Args:
2025-08-14T20:56:26.6755060Z         func (Callable): the function to be applied on each local shard of
2025-08-14T20:56:26.6755110Z             :class:`DTensor` s.
2025-08-14T20:56:26.6755250Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-08-14T20:56:26.6755420Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-08-14T20:56:26.6755570Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-08-14T20:56:26.6755720Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-08-14T20:56:26.6755870Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-08-14T20:56:26.6755940Z             mapping to the flattened ``output``.
2025-08-14T20:56:26.6756060Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-08-14T20:56:26.6756230Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-08-14T20:56:26.6756280Z             should be `None`.
2025-08-14T20:56:26.6756420Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-08-14T20:56:26.6756560Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-08-14T20:56:26.6756710Z             should ignore the desired placements because the function is not running with
2025-08-14T20:56:26.6756770Z             :class:`DTensor` s.
2025-08-14T20:56:26.6756870Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-08-14T20:56:26.6757030Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-08-14T20:56:26.6757170Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-08-14T20:56:26.6757310Z             placements of each :class:`DTensor` argument is the same as the required
2025-08-14T20:56:26.6757420Z             placements or not. If the placements are not the same and
2025-08-14T20:56:26.6757570Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-08-14T20:56:26.6757770Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-08-14T20:56:26.6757930Z             the required sharding placements before passing its local tensor to ``func``.
2025-08-14T20:56:26.6758070Z             The only exception is when required placements are not ``None`` and the
2025-08-14T20:56:26.6758210Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-08-14T20:56:26.6758340Z             will be skipped and the argument will be directly passed to ``func``.
2025-08-14T20:56:26.6758480Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-08-14T20:56:26.6758530Z             Default: None
2025-08-14T20:56:26.6758640Z         in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-08-14T20:56:26.6758770Z             the placements hint of the :class:`DTensor` s gradient corresponds
2025-08-14T20:56:26.6758890Z             to the flattened input DTensor. This argument is the hint that user
2025-08-14T20:56:26.6759000Z             can give to :meth:`to_local` in case the gradient layout of the
2025-08-14T20:56:26.6759130Z             local tensor input does not match its :class:`DTensor` input layout.
2025-08-14T20:56:26.6759310Z             If not specified, we will assume the gradient layout of the local
2025-08-14T20:56:26.6759440Z             tensor input remains the same as the original :class:`DTensor` input
2025-08-14T20:56:26.6759530Z             and use that for gradient computation. Default: None.
2025-08-14T20:56:26.6759620Z         device_mesh (:class:`DeviceMesh`, optional):
2025-08-14T20:56:26.6759750Z             the device mesh that the output :class:`DTensor` s are placed on. If not
2025-08-14T20:56:26.6759900Z             specified, this will be inferred from the first input :class:`DTensor`'s device
2025-08-14T20:56:26.6759960Z             mesh. Default: None.
2025-08-14T20:56:26.6760000Z     
2025-08-14T20:56:26.6760040Z     Keyword Args:
2025-08-14T20:56:26.6760110Z         redistribute_inputs (bool, optional):
2025-08-14T20:56:26.6760260Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-08-14T20:56:26.6760440Z             their placements are different from the required input placements. If this
2025-08-14T20:56:26.6760570Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-08-14T20:56:26.6760660Z             an exception will be raised. Default: False.
2025-08-14T20:56:26.6760700Z     
2025-08-14T20:56:26.6760740Z     Returns:
2025-08-14T20:56:26.6760900Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-08-14T20:56:26.6761040Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-08-14T20:56:26.6761090Z     
2025-08-14T20:56:26.6761130Z     Raises:
2025-08-14T20:56:26.6761270Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-08-14T20:56:26.6761440Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-08-14T20:56:26.6761500Z             if this is not the case.
2025-08-14T20:56:26.6761540Z     
2025-08-14T20:56:26.6761700Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-08-14T20:56:26.6761790Z             a redistribution according to ``in_placements``.
2025-08-14T20:56:26.6761830Z     
2025-08-14T20:56:26.6761870Z     Example:
2025-08-14T20:56:26.6761940Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6762020Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-08-14T20:56:26.6762090Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-08-14T20:56:26.6762230Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-08-14T20:56:26.6762290Z         >>>     return reduced_tensor
2025-08-14T20:56:26.6762330Z         >>>
2025-08-14T20:56:26.6762410Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-08-14T20:56:26.6762520Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-08-14T20:56:26.6762580Z         >>> Y = torch.mm(W, X)
2025-08-14T20:56:26.6762700Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-08-14T20:56:26.6762810Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-08-14T20:56:26.6762850Z         >>>
2025-08-14T20:56:26.6763010Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-08-14T20:56:26.6763090Z         >>> local_mm_allreduce_forward = local_map(
2025-08-14T20:56:26.6763140Z         >>>     mm_allreduce_forward,
2025-08-14T20:56:26.6763210Z         >>>     out_placements=[Replicate()],
2025-08-14T20:56:26.6763280Z         >>>     in_placements=[col_wise, row_wise],
2025-08-14T20:56:26.6763340Z         >>>     device_mesh=device_mesh,
2025-08-14T20:56:26.6763380Z         >>> )
2025-08-14T20:56:26.6763420Z         >>>
2025-08-14T20:56:26.6763480Z         >>> W_dt = distribute_tensor(
2025-08-14T20:56:26.6763540Z         ...     W, device_mesh, (col_wise)
2025-08-14T20:56:26.6763600Z         ... )  # col-wisely sharded W tensor
2025-08-14T20:56:26.6763710Z         >>> X_dt = distribute_tensor(
2025-08-14T20:56:26.6763770Z         ...     X, device_mesh, (row_wise)
2025-08-14T20:56:26.6763830Z         ... )  # row-wisely sharded X tensor
2025-08-14T20:56:26.6763900Z         >>> Y_dt = local_mm_allreduce_forward(
2025-08-14T20:56:26.6763950Z         ...     device_mesh, W_dt, X_dt
2025-08-14T20:56:26.6764040Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-08-14T20:56:26.6764080Z     
2025-08-14T20:56:26.6764200Z     .. note:: This API is currently experimental and subject to change
2025-08-14T20:56:26.6764240Z     
2025-08-14T20:56:26.6764390Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6764430Z     
2025-08-14T20:56:26.6764480Z       warnings.warn(msg)
2025-08-14T20:56:26.6764520Z     
2025-08-14T20:56:26.6764620Z --- Parse Warning: 90 / 146 ---
2025-08-14T20:56:26.6765360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-08-14T20:56:26.6765510Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6765560Z     
2025-08-14T20:56:26.6765780Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-08-14T20:56:26.6765970Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-08-14T20:56:26.6766010Z     
2025-08-14T20:56:26.6766080Z     Keyword Args:
2025-08-14T20:56:26.6766200Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:26.6766390Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-14T20:56:26.6766610Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-14T20:56:26.6766680Z             as a placeholder. default: None.
2025-08-14T20:56:26.6766820Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:26.6767040Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:26.6767270Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-14T20:56:26.6767350Z         input_kwarg_layouts (Dict[str, Placement]):
2025-08-14T20:56:26.6767560Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-14T20:56:26.6767610Z             default: None
2025-08-14T20:56:26.6767750Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-14T20:56:26.6767980Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:26.6768060Z             have the desired DTensor layouts. default: None.
2025-08-14T20:56:26.6768130Z         use_local_output (bool, optional):
2025-08-14T20:56:26.6768340Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-14T20:56:26.6768380Z     Returns:
2025-08-14T20:56:26.6768570Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-08-14T20:56:26.6768610Z     
2025-08-14T20:56:26.6768660Z     Example::
2025-08-14T20:56:26.6768710Z         >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:26.6768900Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-08-14T20:56:26.6769020Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:26.6769070Z         >>> ...
2025-08-14T20:56:26.6769300Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:26.6769380Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:26.6769420Z         >>>
2025-08-14T20:56:26.6769620Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-08-14T20:56:26.6769700Z         >>> # and then redistributed to Replicated DTensor.
2025-08-14T20:56:26.6769760Z         >>> parallelize_module(
2025-08-14T20:56:26.6769840Z         >>>     block, # this can be a submodule or module
2025-08-14T20:56:26.6769890Z         >>>     tp_mesh,
2025-08-14T20:56:26.6769940Z         >>>     parallelize_plan={
2025-08-14T20:56:26.6770010Z         >>>         "attn": PrepareModuleInput(
2025-08-14T20:56:26.6770100Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-14T20:56:26.6770250Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-08-14T20:56:26.6770290Z         >>>         ),
2025-08-14T20:56:26.6770330Z         >>>     }
2025-08-14T20:56:26.6770370Z         >>> )
2025-08-14T20:56:26.6770410Z     
2025-08-14T20:56:26.6770560Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6770600Z     
2025-08-14T20:56:26.6770650Z       warnings.warn(msg)
2025-08-14T20:56:26.6770690Z     
2025-08-14T20:56:26.6770790Z --- Parse Warning: 91 / 146 ---
2025-08-14T20:56:26.6771500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-08-14T20:56:26.6771660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6771700Z     
2025-08-14T20:56:26.6771930Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-08-14T20:56:26.6772130Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-08-14T20:56:26.6772170Z     
2025-08-14T20:56:26.6772210Z     Keyword Args:
2025-08-14T20:56:26.6772310Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:26.6772510Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-14T20:56:26.6772730Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-14T20:56:26.6772820Z             ``None`` need to be specified as a placeholder.
2025-08-14T20:56:26.6772980Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:26.6773210Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-14T20:56:26.6773280Z             have the desired DTensor layouts.
2025-08-14T20:56:26.6773350Z         use_local_output (bool, optional):
2025-08-14T20:56:26.6773560Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-14T20:56:26.6773600Z     Returns:
2025-08-14T20:56:26.6773780Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-08-14T20:56:26.6773820Z     
2025-08-14T20:56:26.6773860Z     Example::
2025-08-14T20:56:26.6773920Z         >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:26.6774110Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-08-14T20:56:26.6774220Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:26.6774270Z         >>> ...
2025-08-14T20:56:26.6774450Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:26.6774590Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:26.6774630Z         >>>
2025-08-14T20:56:26.6774890Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-08-14T20:56:26.6774980Z         >>> # and then redistributed to Sharded DTensor.
2025-08-14T20:56:26.6775030Z         >>> parallelize_module(
2025-08-14T20:56:26.6775110Z         >>>     block, # this can be a submodule or module
2025-08-14T20:56:26.6775160Z         >>>     tp_mesh,
2025-08-14T20:56:26.6775240Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-08-14T20:56:26.6775310Z         >>>         output_layouts=Replicate(),
2025-08-14T20:56:26.6775380Z         >>>         desired_output_layouts=Shard(0)
2025-08-14T20:56:26.6775420Z         >>>     )
2025-08-14T20:56:26.6775460Z         >>> )
2025-08-14T20:56:26.6775530Z     
2025-08-14T20:56:26.6775680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6775720Z     
2025-08-14T20:56:26.6775770Z       warnings.warn(msg)
2025-08-14T20:56:26.6775810Z     
2025-08-14T20:56:26.6775910Z --- Parse Warning: 92 / 146 ---
2025-08-14T20:56:26.6776640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-08-14T20:56:26.6776790Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6776830Z     
2025-08-14T20:56:26.6777090Z     Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-08-14T20:56:26.6777340Z     to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-08-14T20:56:26.6777570Z     according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-08-14T20:56:26.6777690Z     :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-08-14T20:56:26.6777730Z     
2025-08-14T20:56:26.6777780Z     Keyword Args:
2025-08-14T20:56:26.6777900Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:26.6778090Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-08-14T20:56:26.6778300Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-08-14T20:56:26.6778370Z             as a placeholder. default: None.
2025-08-14T20:56:26.6778570Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-08-14T20:56:26.6778790Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:26.6779030Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-08-14T20:56:26.6779110Z         input_kwarg_layouts (Dict[str, Placement]):
2025-08-14T20:56:26.6779320Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-08-14T20:56:26.6779370Z             default: None
2025-08-14T20:56:26.6779470Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-08-14T20:56:26.6779680Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-08-14T20:56:26.6779770Z             have the desired DTensor layouts. default: None.
2025-08-14T20:56:26.6779830Z         use_local_input (bool, optional):
2025-08-14T20:56:26.6780050Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-08-14T20:56:26.6780200Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:26.6780400Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-08-14T20:56:26.6780620Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-08-14T20:56:26.6780710Z             ``None`` need to be specified as a placeholder.
2025-08-14T20:56:26.6780830Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-08-14T20:56:26.6781050Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-08-14T20:56:26.6781120Z             have the desired DTensor layouts.
2025-08-14T20:56:26.6781180Z         use_local_output (bool, optional):
2025-08-14T20:56:26.6781420Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-08-14T20:56:26.6781460Z     Returns:
2025-08-14T20:56:26.6781670Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-08-14T20:56:26.6781710Z     
2025-08-14T20:56:26.6781760Z     Example::
2025-08-14T20:56:26.6781810Z         >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:26.6782020Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-08-14T20:56:26.6782140Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-08-14T20:56:26.6782180Z         >>> ...
2025-08-14T20:56:26.6782360Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-08-14T20:56:26.6782440Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-08-14T20:56:26.6782480Z         >>>
2025-08-14T20:56:26.6782680Z         >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-08-14T20:56:26.6782890Z         >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-08-14T20:56:26.6783020Z         >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-08-14T20:56:26.6783070Z         >>> parallelize_module(
2025-08-14T20:56:26.6783150Z         >>>     block, # this can be a submodule or module
2025-08-14T20:56:26.6783200Z         >>>     tp_mesh,
2025-08-14T20:56:26.6783260Z         >>>     parallelize_plan={
2025-08-14T20:56:26.6783340Z         >>>         "attn": PrepareModuleInputOutput(
2025-08-14T20:56:26.6783430Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-08-14T20:56:26.6783540Z         >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-08-14T20:56:26.6783640Z         >>>             output_layouts=Replicate(),
2025-08-14T20:56:26.6783730Z         >>>             desired_output_layouts=Shard(0),
2025-08-14T20:56:26.6783770Z         >>>         ),
2025-08-14T20:56:26.6783820Z         >>>     }
2025-08-14T20:56:26.6783860Z         >>> )
2025-08-14T20:56:26.6783900Z     
2025-08-14T20:56:26.6784050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6784090Z     
2025-08-14T20:56:26.6784140Z       warnings.warn(msg)
2025-08-14T20:56:26.6784180Z     
2025-08-14T20:56:26.6784280Z --- Parse Warning: 93 / 146 ---
2025-08-14T20:56:26.6784940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-08-14T20:56:26.6785100Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6785150Z     
2025-08-14T20:56:26.6785290Z     A decorator for a function indicating that the return value of the function
2025-08-14T20:56:26.6785470Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-08-14T20:56:26.6785620Z     function can run asynchronously on the RPC callee. More specifically, the
2025-08-14T20:56:26.6785760Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-08-14T20:56:26.6785900Z     function and installs subsequent processing steps as a callback to that
2025-08-14T20:56:26.6786040Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-08-14T20:56:26.6786160Z     from the :class:`~torch.futures.Future` when completed and send the
2025-08-14T20:56:26.6786270Z     value back as the RPC response. That also means the returned
2025-08-14T20:56:26.6786410Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-08-14T20:56:26.6786540Z     sent through RPC. This decorator is useful when the wrapped function's
2025-08-14T20:56:26.6786680Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-08-14T20:56:26.6786820Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-08-14T20:56:26.6786860Z     
2025-08-14T20:56:26.6786980Z     .. note:: To enable asynchronous execution, applications must pass the
2025-08-14T20:56:26.6787130Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-08-14T20:56:26.6787260Z         attributes installed by this decorator, it knows that this function
2025-08-14T20:56:26.6787370Z         returns a ``Future`` object and will handle that accordingly.
2025-08-14T20:56:26.6787500Z         However, this does not mean this decorator has to be outmost one when
2025-08-14T20:56:26.6787630Z         defining a function. For example, when combined with ``@staticmethod``
2025-08-14T20:56:26.6787760Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-08-14T20:56:26.6787900Z         inner decorator to allow the target function be recognized as a static
2025-08-14T20:56:26.6788040Z         or class function. This target function can still execute asynchronously
2025-08-14T20:56:26.6788170Z         because, when accessed, the static or class method preserves attributes
2025-08-14T20:56:26.6788260Z         installed by ``@rpc.functions.async_execution``.
2025-08-14T20:56:26.6788300Z     
2025-08-14T20:56:26.6788340Z     
2025-08-14T20:56:26.6788380Z     Example::
2025-08-14T20:56:26.6788510Z         The returned :class:`~torch.futures.Future` object can come from
2025-08-14T20:56:26.6788580Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-08-14T20:56:26.6788720Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-08-14T20:56:26.6788820Z         constructor. The example below shows directly using the
2025-08-14T20:56:26.6788940Z         :class:`~torch.futures.Future` returned by
2025-08-14T20:56:26.6789020Z         :meth:`~torch.futures.Future.then`.
2025-08-14T20:56:26.6789060Z     
2025-08-14T20:56:26.6789130Z         >>> from torch.distributed import rpc
2025-08-14T20:56:26.6789170Z         >>>
2025-08-14T20:56:26.6789230Z         >>> # omitting setup and shutdown RPC
2025-08-14T20:56:26.6789270Z         >>>
2025-08-14T20:56:26.6789320Z         >>> # On all workers
2025-08-14T20:56:26.6789390Z         >>> @rpc.functions.async_execution
2025-08-14T20:56:26.6789460Z         >>> def async_add_chained(to, x, y, z):
2025-08-14T20:56:26.6789570Z         >>>     # This function runs on "worker1" and returns immediately when
2025-08-14T20:56:26.6789690Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-08-14T20:56:26.6789800Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-08-14T20:56:26.6789900Z         >>>     # When the return value of that `rpc_async` arrives at
2025-08-14T20:56:26.6790010Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-08-14T20:56:26.6790130Z         >>>     # and set the value for the previously returned `Future`, which
2025-08-14T20:56:26.6790290Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-08-14T20:56:26.6790390Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:26.6790460Z         >>>         lambda fut: fut.wait() + z
2025-08-14T20:56:26.6790500Z         >>>     )
2025-08-14T20:56:26.6790540Z         >>>
2025-08-14T20:56:26.6790580Z         >>> # On worker0
2025-08-14T20:56:26.6790640Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6790690Z         >>> ret = rpc.rpc_sync(
2025-08-14T20:56:26.6790740Z         >>>     "worker1",
2025-08-14T20:56:26.6790790Z         >>>     async_add_chained,
2025-08-14T20:56:26.6790860Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-08-14T20:56:26.6790900Z         >>> )
2025-08-14T20:56:26.6790970Z         >>> print(ret)  # prints tensor([3., 3.])
2025-08-14T20:56:26.6791040Z     
2025-08-14T20:56:26.6791180Z         When combined with TorchScript decorators, this decorator must be the
2025-08-14T20:56:26.6791230Z         outmost one.
2025-08-14T20:56:26.6791270Z     
2025-08-14T20:56:26.6791320Z         >>> from torch import Tensor
2025-08-14T20:56:26.6791390Z         >>> from torch.futures import Future
2025-08-14T20:56:26.6791460Z         >>> from torch.distributed import rpc
2025-08-14T20:56:26.6791500Z         >>>
2025-08-14T20:56:26.6791570Z         >>> # omitting setup and shutdown RPC
2025-08-14T20:56:26.6791610Z         >>>
2025-08-14T20:56:26.6791660Z         >>> # On all workers
2025-08-14T20:56:26.6791710Z         >>> @torch.jit.script
2025-08-14T20:56:26.6791800Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T20:56:26.6791850Z         >>>     return x + y
2025-08-14T20:56:26.6791880Z         >>>
2025-08-14T20:56:26.6791950Z         >>> @rpc.functions.async_execution
2025-08-14T20:56:26.6792000Z         >>> @torch.jit.script
2025-08-14T20:56:26.6792130Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-08-14T20:56:26.6792210Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-08-14T20:56:26.6792250Z         >>>
2025-08-14T20:56:26.6792300Z         >>> # On worker0
2025-08-14T20:56:26.6792350Z         >>> ret = rpc.rpc_sync(
2025-08-14T20:56:26.6792400Z         >>>     "worker1",
2025-08-14T20:56:26.6792450Z         >>>     async_add,
2025-08-14T20:56:26.6792520Z         >>>     args=("worker2", torch.ones(2), 1)
2025-08-14T20:56:26.6792560Z         >>> )
2025-08-14T20:56:26.6792630Z         >>> print(ret)  # prints tensor([2., 2.])
2025-08-14T20:56:26.6792660Z     
2025-08-14T20:56:26.6792790Z         When combined with static or class method, this decorator must be the
2025-08-14T20:56:26.6792840Z         inner one.
2025-08-14T20:56:26.6792870Z     
2025-08-14T20:56:26.6792940Z         >>> from torch.distributed import rpc
2025-08-14T20:56:26.6793020Z         >>>
2025-08-14T20:56:26.6793090Z         >>> # omitting setup and shutdown RPC
2025-08-14T20:56:26.6793130Z         >>>
2025-08-14T20:56:26.6793180Z         >>> # On all workers
2025-08-14T20:56:26.6793240Z         >>> class AsyncExecutionClass:
2025-08-14T20:56:26.6793280Z         >>>
2025-08-14T20:56:26.6793330Z         >>>     @staticmethod
2025-08-14T20:56:26.6793400Z         >>>     @rpc.functions.async_execution
2025-08-14T20:56:26.6793470Z         >>>     def static_async_add(to, x, y, z):
2025-08-14T20:56:26.6793570Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:26.6793630Z         >>>             lambda fut: fut.wait() + z
2025-08-14T20:56:26.6793680Z         >>>         )
2025-08-14T20:56:26.6793720Z         >>>
2025-08-14T20:56:26.6793770Z         >>>     @classmethod
2025-08-14T20:56:26.6793830Z         >>>     @rpc.functions.async_execution
2025-08-14T20:56:26.6793910Z         >>>     def class_async_add(cls, to, x, y, z):
2025-08-14T20:56:26.6793990Z         >>>         ret_fut = torch.futures.Future()
2025-08-14T20:56:26.6794080Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:26.6794230Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-08-14T20:56:26.6794280Z         >>>         )
2025-08-14T20:56:26.6794330Z         >>>         return ret_fut
2025-08-14T20:56:26.6794370Z         >>>
2025-08-14T20:56:26.6794440Z         >>>     @rpc.functions.async_execution
2025-08-14T20:56:26.6794510Z         >>>     def bound_async_add(self, to, x, y, z):
2025-08-14T20:56:26.6794610Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-08-14T20:56:26.6794680Z         >>>             lambda fut: fut.wait() + z
2025-08-14T20:56:26.6794730Z         >>>         )
2025-08-14T20:56:26.6794760Z         >>>
2025-08-14T20:56:26.6794810Z         >>> # On worker0
2025-08-14T20:56:26.6794860Z         >>> ret = rpc.rpc_sync(
2025-08-14T20:56:26.6794910Z         >>>     "worker1",
2025-08-14T20:56:26.6794990Z         >>>     AsyncExecutionClass.static_async_add,
2025-08-14T20:56:26.6795090Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:26.6795130Z         >>> )
2025-08-14T20:56:26.6795200Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:26.6795240Z         >>>
2025-08-14T20:56:26.6795300Z         >>> ret = rpc.rpc_sync(
2025-08-14T20:56:26.6795340Z         >>>     "worker1",
2025-08-14T20:56:26.6795420Z         >>>     AsyncExecutionClass.class_async_add,
2025-08-14T20:56:26.6795490Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:26.6795530Z         >>> )
2025-08-14T20:56:26.6795600Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:26.6795640Z     
2025-08-14T20:56:26.6795730Z         This decorator also works with RRef helpers, i.e., .
2025-08-14T20:56:26.6795820Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-08-14T20:56:26.6795910Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-08-14T20:56:26.6795990Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-08-14T20:56:26.6796030Z     
2025-08-14T20:56:26.6796100Z         >>> from torch.distributed import rpc
2025-08-14T20:56:26.6796140Z         >>>
2025-08-14T20:56:26.6796220Z         >>> # reuse the AsyncExecutionClass class above
2025-08-14T20:56:26.6796310Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:26.6796440Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-08-14T20:56:26.6796510Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:26.6796550Z         >>>
2025-08-14T20:56:26.6796640Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:26.6796780Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-08-14T20:56:26.6796850Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:26.6796890Z         >>>
2025-08-14T20:56:26.6797040Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-08-14T20:56:26.6797190Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-08-14T20:56:26.6797260Z         >>> print(ret)  # prints tensor([4., 4.])
2025-08-14T20:56:26.6797300Z     
2025-08-14T20:56:26.6797450Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6797490Z     
2025-08-14T20:56:26.6797540Z       warnings.warn(msg)
2025-08-14T20:56:26.6797580Z     
2025-08-14T20:56:26.6797680Z --- Parse Warning: 94 / 146 ---
2025-08-14T20:56:26.6798430Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-08-14T20:56:26.6798590Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6798630Z     
2025-08-14T20:56:26.6798750Z     Set device mapping between each RPC caller and callee pair. This
2025-08-14T20:56:26.6798920Z     function can be called multiple times to incrementally add
2025-08-14T20:56:26.6798980Z     device placement configurations.
2025-08-14T20:56:26.6799030Z     
2025-08-14T20:56:26.6799070Z     Args:
2025-08-14T20:56:26.6799120Z         to (str): Callee name.
2025-08-14T20:56:26.6799240Z         device_map (Dict of int, str, or torch.device): Device placement
2025-08-14T20:56:26.6799350Z             mappings from this worker to the callee. This map must be
2025-08-14T20:56:26.6799390Z             invertible.
2025-08-14T20:56:26.6799430Z     
2025-08-14T20:56:26.6799470Z     Example:
2025-08-14T20:56:26.6799540Z         >>> # xdoctest: +SKIP("distributed")
2025-08-14T20:56:26.6799590Z         >>> # both workers
2025-08-14T20:56:26.6799630Z         >>> def add(x, y):
2025-08-14T20:56:26.6799720Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-08-14T20:56:26.6799800Z         >>>     return x + y, (x + y).to(2)
2025-08-14T20:56:26.6799850Z         >>>
2025-08-14T20:56:26.6799900Z         >>> # on worker 0
2025-08-14T20:56:26.6799980Z         >>> options = TensorPipeRpcBackendOptions(
2025-08-14T20:56:26.6800040Z         >>>     num_worker_threads=8,
2025-08-14T20:56:26.6800100Z         >>>     device_maps={"worker1": {0: 1}}
2025-08-14T20:56:26.6800180Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-08-14T20:56:26.6800220Z         >>> )
2025-08-14T20:56:26.6800300Z         >>> options.set_device_map("worker1", {1: 2})
2025-08-14T20:56:26.6800380Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-08-14T20:56:26.6800420Z         >>>
2025-08-14T20:56:26.6800470Z         >>> rpc.init_rpc(
2025-08-14T20:56:26.6800510Z         >>>     "worker0",
2025-08-14T20:56:26.6800560Z         >>>     rank=0,
2025-08-14T20:56:26.6800610Z         >>>     world_size=2,
2025-08-14T20:56:26.6800680Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-08-14T20:56:26.6800750Z         >>>     rpc_backend_options=options
2025-08-14T20:56:26.6800790Z         >>> )
2025-08-14T20:56:26.6800830Z         >>>
2025-08-14T20:56:26.6800880Z         >>> x = torch.ones(2)
2025-08-14T20:56:26.6800980Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-08-14T20:56:26.6801090Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-08-14T20:56:26.6801210Z         >>> # sending the return value back, it will follow the invert of
2025-08-14T20:56:26.6801310Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-08-14T20:56:26.6801370Z         >>> # cuda:1 on worker0
2025-08-14T20:56:26.6801460Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-08-14T20:56:26.6801550Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-08-14T20:56:26.6801590Z     
2025-08-14T20:56:26.6801770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6801820Z     
2025-08-14T20:56:26.6801870Z       warnings.warn(msg)
2025-08-14T20:56:26.6801910Z     
2025-08-14T20:56:26.6802010Z --- Parse Warning: 95 / 146 ---
2025-08-14T20:56:26.6802770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-08-14T20:56:26.6802920Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6802960Z     
2025-08-14T20:56:26.6803080Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-08-14T20:56:26.6803250Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-08-14T20:56:26.6803280Z     
2025-08-14T20:56:26.6803450Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-08-14T20:56:26.6803600Z     Under the hood it just records events of functions being executed in C++ and
2025-08-14T20:56:26.6803790Z     exposes those events to Python. You can wrap any code into it and it will
2025-08-14T20:56:26.6803870Z     only report runtime of PyTorch functions.
2025-08-14T20:56:26.6804030Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-08-14T20:56:26.6804070Z     
2025-08-14T20:56:26.6804110Z     Args:
2025-08-14T20:56:26.6804270Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-08-14T20:56:26.6804320Z             Default: ``True``.
2025-08-14T20:56:26.6804360Z     
2025-08-14T20:56:26.6804530Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-08-14T20:56:26.6804650Z             Adds approximately 4us of overhead to each tensor operation.
2025-08-14T20:56:26.6804700Z             Default: ``False``
2025-08-14T20:56:26.6804770Z     
2025-08-14T20:56:26.6804900Z         record_shapes (bool, optional): If shapes recording is set, information
2025-08-14T20:56:26.6805080Z             about input dimensions will be collected. This allows one to see which
2025-08-14T20:56:26.6805210Z             dimensions have been used under the hood and further group by them
2025-08-14T20:56:26.6805340Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-08-14T20:56:26.6809140Z             shape recording might skew your profiling data. It is recommended to
2025-08-14T20:56:26.6809310Z             use separate runs with and without shape recording to validate the timing.
2025-08-14T20:56:26.6809450Z             Most likely the skew will be negligible for bottom most events (in a case
2025-08-14T20:56:26.6809580Z             of nested function calls). But for higher level functions the total
2025-08-14T20:56:26.6809710Z             self cpu time might be artificially increased because of the shape
2025-08-14T20:56:26.6809760Z             collection.
2025-08-14T20:56:26.6809800Z     
2025-08-14T20:56:26.6809970Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-08-14T20:56:26.6810000Z     
2025-08-14T20:56:26.6810050Z     .. warning::
2025-08-14T20:56:26.6810180Z         Enabling memory profiling incurs additional profiler overhead
2025-08-14T20:56:26.6810220Z     
2025-08-14T20:56:26.6810260Z     .. warning::
2025-08-14T20:56:26.6810430Z         Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-08-14T20:56:26.6810550Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-08-14T20:56:26.6810700Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-08-14T20:56:26.6810800Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-08-14T20:56:26.6810830Z     
2025-08-14T20:56:26.6810980Z     Example:
2025-08-14T20:56:26.6811030Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6811080Z         >>> # On worker 0:
2025-08-14T20:56:26.6811130Z         >>> import torch
2025-08-14T20:56:26.6811210Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6811290Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-08-14T20:56:26.6811370Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-08-14T20:56:26.6811430Z         >>> outer_profile_rref = rpc.remote(
2025-08-14T20:56:26.6811530Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-08-14T20:56:26.6811570Z         ... )
2025-08-14T20:56:26.6811650Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-08-14T20:56:26.6811740Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-08-14T20:56:26.6811810Z         >>> inner_profile_rref = rpc.remote(
2025-08-14T20:56:26.6811910Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-08-14T20:56:26.6811950Z         ... )
2025-08-14T20:56:26.6812030Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-08-14T20:56:26.6812120Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-08-14T20:56:26.6812300Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-14T20:56:26.6812400Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-08-14T20:56:26.6812500Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-08-14T20:56:26.6812650Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6812840Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-14T20:56:26.6812980Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6813100Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-08-14T20:56:26.6813260Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-08-14T20:56:26.6813400Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6813460Z         Self CPU time total: 89.667us
2025-08-14T20:56:26.6813560Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-08-14T20:56:26.6813700Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6813880Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-08-14T20:56:26.6814020Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6814140Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-08-14T20:56:26.6814260Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-08-14T20:56:26.6814370Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-08-14T20:56:26.6814520Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6814580Z         Self CPU time total: 213.926us
2025-08-14T20:56:26.6814630Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6814670Z     
2025-08-14T20:56:26.6814720Z         >>> # On worker 1:
2025-08-14T20:56:26.6814790Z         >>> import torch.distributed.rpc as rpc
2025-08-14T20:56:26.6814870Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-08-14T20:56:26.6814970Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-08-14T20:56:26.6815020Z         >>> rpc.shutdown()
2025-08-14T20:56:26.6815060Z     
2025-08-14T20:56:26.6815240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6815290Z     
2025-08-14T20:56:26.6815340Z       warnings.warn(msg)
2025-08-14T20:56:26.6815380Z     
2025-08-14T20:56:26.6815500Z --- Parse Warning: 96 / 146 ---
2025-08-14T20:56:26.6816160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-08-14T20:56:26.6816310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6816530Z     Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-08-14T20:56:26.6816640Z         Label will only appear if CPU activity tracing is enabled.
2025-08-14T20:56:26.6816680Z     
2025-08-14T20:56:26.6816760Z         It is useful when tracing the code profile.
2025-08-14T20:56:26.6816800Z     
2025-08-14T20:56:26.6816900Z         Args:
2025-08-14T20:56:26.6816990Z             name (str): Label assigned to the block of code.
2025-08-14T20:56:26.6817110Z             node_id (int): ID of node, for distributed profiling. Unset in
2025-08-14T20:56:26.6817170Z             non-distributed cases.
2025-08-14T20:56:26.6817210Z     
2025-08-14T20:56:26.6817250Z         Example:
2025-08-14T20:56:26.6817360Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-08-14T20:56:26.6817440Z             >>> x = torch.randn((1, 1), requires_grad=True)
2025-08-14T20:56:26.6817540Z             >>> with torch.autograd.profiler.profile() as prof:
2025-08-14T20:56:26.6817590Z             ...     y = x**2
2025-08-14T20:56:26.6817690Z             ...     with torch.autograd.profiler.record_function(
2025-08-14T20:56:26.6817740Z             ...         "label-z"
2025-08-14T20:56:26.6817800Z             ...     ):  # label the block
2025-08-14T20:56:26.6817870Z             ...         z = y**3
2025-08-14T20:56:26.6817920Z             ...     y.backward()
2025-08-14T20:56:26.6817980Z             >>> # xdoctest: +IGNORE_WANT
2025-08-14T20:56:26.6818070Z             >>> # NOTE: some columns were removed for brevity
2025-08-14T20:56:26.6818190Z             >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-08-14T20:56:26.6818320Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6818430Z             Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-08-14T20:56:26.6818550Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6818640Z             pow                                  60.77%           47.470us         3
2025-08-14T20:56:26.6818730Z             mul                                  21.73%           25.465us         2
2025-08-14T20:56:26.6818830Z             PowBackward0                         12.03%           121.891us        1
2025-08-14T20:56:26.6818970Z             torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-08-14T20:56:26.6819060Z             label-z                              2.13%            12.421us         1
2025-08-14T20:56:26.6819190Z             torch::autograd::GraphRoot           0.64%            1.503us          1
2025-08-14T20:56:26.6819310Z             -----------------------------------  ---------------  ---------------  ---------------
2025-08-14T20:56:26.6819370Z             Self CPU time total: 234.344us
2025-08-14T20:56:26.6819430Z             CUDA time total: 0.000us
2025-08-14T20:56:26.6819470Z     
2025-08-14T20:56:26.6819510Z         
2025-08-14T20:56:26.6819660Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6819700Z     
2025-08-14T20:56:26.6819750Z       warnings.warn(msg)
2025-08-14T20:56:26.6819850Z     
2025-08-14T20:56:26.6819950Z --- Parse Warning: 97 / 146 ---
2025-08-14T20:56:26.6820670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-08-14T20:56:26.6820820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6820940Z     Return a new dict with new, potentially nested, key value pair
2025-08-14T20:56:26.6820980Z     
2025-08-14T20:56:26.6821030Z         >>> purchase = {
2025-08-14T20:56:26.6821080Z         ...     "name": "Alice",
2025-08-14T20:56:26.6821190Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:26.6821260Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:26.6821310Z         ... }
2025-08-14T20:56:26.6821430Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-08-14T20:56:26.6821550Z         {'credit card': '5555-1234-1234-1234',
2025-08-14T20:56:26.6821600Z          'name': 'Alice',
2025-08-14T20:56:26.6821700Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-08-14T20:56:26.6821740Z         
2025-08-14T20:56:26.6821890Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6821930Z     
2025-08-14T20:56:26.6821980Z       warnings.warn(msg)
2025-08-14T20:56:26.6822020Z     
2025-08-14T20:56:26.6822120Z --- Parse Warning: 98 / 146 ---
2025-08-14T20:56:26.6822840Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-08-14T20:56:26.6823020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6823110Z     Update value in a (potentially) nested dictionary
2025-08-14T20:56:26.6823150Z     
2025-08-14T20:56:26.6823190Z         inputs:
2025-08-14T20:56:26.6823250Z         d - dictionary on which to operate
2025-08-14T20:56:26.6823390Z         keys - list or tuple giving the location of the value to be changed in d
2025-08-14T20:56:26.6823460Z         func - function to operate on that value
2025-08-14T20:56:26.6823500Z     
2025-08-14T20:56:26.6823620Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-08-14T20:56:26.6823760Z         original dictionary with v replaced by func(v), but does not mutate the
2025-08-14T20:56:26.6823810Z         original dictionary.
2025-08-14T20:56:26.6823850Z     
2025-08-14T20:56:26.6823980Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-08-14T20:56:26.6824110Z         specified by the keys, with the innermost value set to func(default).
2025-08-14T20:56:26.6824150Z     
2025-08-14T20:56:26.6824210Z         >>> inc = lambda x: x + 1
2025-08-14T20:56:26.6824270Z         >>> update_in({"a": 0}, ["a"], inc)
2025-08-14T20:56:26.6824310Z         {'a': 1}
2025-08-14T20:56:26.6824350Z     
2025-08-14T20:56:26.6824400Z         >>> transaction = {
2025-08-14T20:56:26.6824450Z         ...     "name": "Alice",
2025-08-14T20:56:26.6824570Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:26.6824640Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:26.6824680Z         ... }
2025-08-14T20:56:26.6824810Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-08-14T20:56:26.6824870Z         {'credit card': '5555-1234-1234-1234',
2025-08-14T20:56:26.6824920Z          'name': 'Alice',
2025-08-14T20:56:26.6825060Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-08-14T20:56:26.6825100Z     
2025-08-14T20:56:26.6825170Z         >>> # updating a value when k0 is not in d
2025-08-14T20:56:26.6825250Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-08-14T20:56:26.6825300Z         {1: {2: {3: 'bar'}}}
2025-08-14T20:56:26.6825370Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-08-14T20:56:26.6825430Z         {1: 'foo', 2: {3: {4: 1}}}
2025-08-14T20:56:26.6825460Z         
2025-08-14T20:56:26.6825610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6825650Z     
2025-08-14T20:56:26.6825710Z       warnings.warn(msg)
2025-08-14T20:56:26.6825750Z     
2025-08-14T20:56:26.6825840Z --- Parse Warning: 99 / 146 ---
2025-08-14T20:56:26.6826550Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-08-14T20:56:26.6826700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6826860Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-08-14T20:56:26.6826890Z     
2025-08-14T20:56:26.6827010Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-08-14T20:56:26.6827130Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-08-14T20:56:26.6827170Z     
2025-08-14T20:56:26.6827290Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-08-14T20:56:26.6827370Z         structures such as dictionaries and lists.
2025-08-14T20:56:26.6827410Z     
2025-08-14T20:56:26.6827460Z         >>> transaction = {
2025-08-14T20:56:26.6827510Z         ...     "name": "Alice",
2025-08-14T20:56:26.6827630Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-08-14T20:56:26.6827700Z         ...     "credit card": "5555-1234-1234-1234",
2025-08-14T20:56:26.6827760Z         ... }
2025-08-14T20:56:26.6827850Z         >>> get_in(["purchase", "items", 0], transaction)
2025-08-14T20:56:26.6827890Z         'Apple'
2025-08-14T20:56:26.6827950Z         >>> get_in(["name"], transaction)
2025-08-14T20:56:26.6827990Z         'Alice'
2025-08-14T20:56:26.6828070Z         >>> get_in(["purchase", "total"], transaction)
2025-08-14T20:56:26.6828160Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-08-14T20:56:26.6828240Z         >>> get_in(["purchase", "items", 10], transaction)
2025-08-14T20:56:26.6828320Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-08-14T20:56:26.6828370Z         0
2025-08-14T20:56:26.6828430Z         >>> get_in(["y"], {}, no_default=True)
2025-08-14T20:56:26.6828490Z         Traceback (most recent call last):
2025-08-14T20:56:26.6828540Z             ...
2025-08-14T20:56:26.6828580Z         KeyError: 'y'
2025-08-14T20:56:26.6828620Z     
2025-08-14T20:56:26.6828670Z         See Also:
2025-08-14T20:56:26.6828720Z             itertoolz.get
2025-08-14T20:56:26.6828770Z             operator.getitem
2025-08-14T20:56:26.6828810Z         
2025-08-14T20:56:26.6828960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6829000Z     
2025-08-14T20:56:26.6829050Z       warnings.warn(msg)
2025-08-14T20:56:26.6829090Z     
2025-08-14T20:56:26.6829190Z --- Parse Warning: 100 / 146 ---
2025-08-14T20:56:26.6829900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-08-14T20:56:26.6830050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6830170Z     Group a collection by a key function
2025-08-14T20:56:26.6830210Z     
2025-08-14T20:56:26.6830320Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-08-14T20:56:26.6830390Z         >>> groupby(len, names)  # doctest: +SKIP
2025-08-14T20:56:26.6830490Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-08-14T20:56:26.6830530Z     
2025-08-14T20:56:26.6830590Z         >>> iseven = lambda x: x % 2 == 0
2025-08-14T20:56:26.6830690Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-08-14T20:56:26.6830760Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-08-14T20:56:26.6830800Z     
2025-08-14T20:56:26.6830880Z         Non-callable keys imply grouping on a member.
2025-08-14T20:56:26.6830920Z     
2025-08-14T20:56:26.6830960Z         >>> groupby(
2025-08-14T20:56:26.6831010Z         ...     "gender",
2025-08-14T20:56:26.6831050Z         ...     [
2025-08-14T20:56:26.6831130Z         ...         {"name": "Alice", "gender": "F"},
2025-08-14T20:56:26.6831200Z         ...         {"name": "Bob", "gender": "M"},
2025-08-14T20:56:26.6831270Z         ...         {"name": "Charlie", "gender": "M"},
2025-08-14T20:56:26.6831380Z         ...     ],
2025-08-14T20:56:26.6831430Z         ... )  # doctest:+SKIP
2025-08-14T20:56:26.6831500Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-08-14T20:56:26.6831560Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-08-14T20:56:26.6831630Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-08-14T20:56:26.6831660Z     
2025-08-14T20:56:26.6831750Z         Not to be confused with ``itertools.groupby``
2025-08-14T20:56:26.6831790Z     
2025-08-14T20:56:26.6831830Z         See Also:
2025-08-14T20:56:26.6831870Z             countby
2025-08-14T20:56:26.6831910Z         
2025-08-14T20:56:26.6832060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6832100Z     
2025-08-14T20:56:26.6832150Z       warnings.warn(msg)
2025-08-14T20:56:26.6832190Z     
2025-08-14T20:56:26.6832290Z --- Parse Warning: 101 / 146 ---
2025-08-14T20:56:26.6832970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=808.
2025-08-14T20:56:26.6833130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6833320Z     Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-08-14T20:56:26.6833360Z     
2025-08-14T20:56:26.6833580Z         Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-08-14T20:56:26.6833710Z         intervals by which each scheduler should be called at a given epoch.
2025-08-14T20:56:26.6833750Z     
2025-08-14T20:56:26.6833790Z         Args:
2025-08-14T20:56:26.6833870Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:26.6833960Z             schedulers (list): List of chained schedulers.
2025-08-14T20:56:26.6834090Z             milestones (list): List of integers that reflects milestone points.
2025-08-14T20:56:26.6834190Z             last_epoch (int): The index of last epoch. Default: -1.
2025-08-14T20:56:26.6834230Z     
2025-08-14T20:56:26.6834270Z         Example:
2025-08-14T20:56:26.6834330Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6834420Z             >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-08-14T20:56:26.6834490Z             >>> # lr = 0.005     if epoch == 0
2025-08-14T20:56:26.6834550Z             >>> # lr = 0.005     if epoch == 1
2025-08-14T20:56:26.6834610Z             >>> # lr = 0.005     if epoch == 2
2025-08-14T20:56:26.6834650Z             >>> # ...
2025-08-14T20:56:26.6834710Z             >>> # lr = 0.05      if epoch == 20
2025-08-14T20:56:26.6834770Z             >>> # lr = 0.045     if epoch == 21
2025-08-14T20:56:26.6834860Z             >>> # lr = 0.0405    if epoch == 22
2025-08-14T20:56:26.6834990Z             >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-08-14T20:56:26.6835090Z             >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-08-14T20:56:26.6835150Z             >>> scheduler = SequentialLR(
2025-08-14T20:56:26.6835200Z             ...     optimizer,
2025-08-14T20:56:26.6835280Z             ...     schedulers=[scheduler1, scheduler2],
2025-08-14T20:56:26.6835330Z             ...     milestones=[20],
2025-08-14T20:56:26.6835370Z             ... )
2025-08-14T20:56:26.6835430Z             >>> for epoch in range(100):
2025-08-14T20:56:26.6835480Z             >>>     train(...)
2025-08-14T20:56:26.6835530Z             >>>     validate(...)
2025-08-14T20:56:26.6835580Z             >>>     scheduler.step()
2025-08-14T20:56:26.6835620Z     
2025-08-14T20:56:26.6835730Z         .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-08-14T20:56:26.6835770Z         
2025-08-14T20:56:26.6835920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6836030Z     
2025-08-14T20:56:26.6836080Z       warnings.warn(msg)
2025-08-14T20:56:26.6836120Z     
2025-08-14T20:56:26.6836220Z --- Parse Warning: 102 / 146 ---
2025-08-14T20:56:26.6836890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1233.
2025-08-14T20:56:26.6837040Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.6837150Z     Reduce learning rate when a metric has stopped improving.
2025-08-14T20:56:26.6837190Z     
2025-08-14T20:56:26.6837310Z         Models often benefit from reducing the learning rate by a factor
2025-08-14T20:56:26.6837430Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-08-14T20:56:26.6837590Z         quantity and if no improvement is seen for a 'patience' number
2025-08-14T20:56:26.6837660Z         of epochs, the learning rate is reduced.
2025-08-14T20:56:26.6837700Z     
2025-08-14T20:56:26.6837740Z         Args:
2025-08-14T20:56:26.6837830Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:26.6837920Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-08-14T20:56:26.6838020Z                 be reduced when the quantity monitored has stopped
2025-08-14T20:56:26.6838120Z                 decreasing; in `max` mode it will be reduced when the
2025-08-14T20:56:26.6838240Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-08-14T20:56:26.6838340Z             factor (float): Factor by which the learning rate will be
2025-08-14T20:56:26.6838430Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-08-14T20:56:26.6838560Z             patience (int): The number of allowed epochs with no improvement after
2025-08-14T20:56:26.6838640Z                 which the learning rate will be reduced.
2025-08-14T20:56:26.6838780Z                 For example, consider the case of having no patience (`patience = 0`).
2025-08-14T20:56:26.6838990Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-08-14T20:56:26.6839120Z                 In the second epoch, if the performance is worse than the baseline,
2025-08-14T20:56:26.6839210Z                 we have what is considered an intolerable epoch.
2025-08-14T20:56:26.6839370Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-08-14T20:56:26.6839470Z                 the learning rate is reduced at the end of this epoch.
2025-08-14T20:56:26.6839670Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-08-14T20:56:26.6839910Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-08-14T20:56:26.6839990Z                 the learning rate is not adjusted.
2025-08-14T20:56:26.6840040Z                 Default: 10.
2025-08-14T20:56:26.6840160Z             threshold (float): Threshold for measuring the new optimum,
2025-08-14T20:56:26.6840260Z                 to only focus on significant changes. Default: 1e-4.
2025-08-14T20:56:26.6840370Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-08-14T20:56:26.6840460Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-08-14T20:56:26.6840550Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-08-14T20:56:26.6840640Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-08-14T20:56:26.6840750Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-08-14T20:56:26.6840860Z             cooldown (int): Number of epochs to wait before resuming
2025-08-14T20:56:26.6840970Z                 normal operation after lr has been reduced. Default: 0.
2025-08-14T20:56:26.6841120Z             min_lr (float or list): A scalar or a list of scalars. A
2025-08-14T20:56:26.6841220Z                 lower bound on the learning rate of all param groups
2025-08-14T20:56:26.6841300Z                 or each group respectively. Default: 0.
2025-08-14T20:56:26.6841410Z             eps (float): Minimal decay applied to lr. If the difference
2025-08-14T20:56:26.6841520Z                 between new and old lr is smaller than eps, the update is
2025-08-14T20:56:26.6841570Z                 ignored. Default: 1e-8.
2025-08-14T20:56:26.6841620Z     
2025-08-14T20:56:26.6841660Z         Example:
2025-08-14T20:56:26.6841710Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6841850Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T20:56:26.6841950Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-08-14T20:56:26.6842030Z             >>> for epoch in range(10):
2025-08-14T20:56:26.6842080Z             >>>     train(...)
2025-08-14T20:56:26.6842150Z             >>>     val_loss = validate(...)
2025-08-14T20:56:26.6842240Z             >>> # Note that step should be called after validate()
2025-08-14T20:56:26.6842310Z             >>>     scheduler.step(val_loss)
2025-08-14T20:56:26.6842350Z     
2025-08-14T20:56:26.6842470Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-08-14T20:56:26.6842510Z         
2025-08-14T20:56:26.6842750Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-08-14T20:56:26.6842780Z     
2025-08-14T20:56:26.6842840Z         scheduler.step(val_loss)
2025-08-14T20:56:26.6842880Z        ^
2025-08-14T20:56:26.6842940Z       warnings.warn(msg)
2025-08-14T20:56:26.6842970Z     
2025-08-14T20:56:26.6843080Z --- Parse Warning: 103 / 146 ---
2025-08-14T20:56:26.6843720Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1430.
2025-08-14T20:56:26.6843880Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6844080Z     Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-08-14T20:56:26.6844120Z     
2025-08-14T20:56:26.6844300Z         The policy cycles the learning rate between two boundaries with a constant frequency,
2025-08-14T20:56:26.6844460Z         as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-08-14T20:56:26.6844600Z         The distance between the two boundaries can be scaled on a per-iteration
2025-08-14T20:56:26.6844660Z         or per-cycle basis.
2025-08-14T20:56:26.6844690Z     
2025-08-14T20:56:26.6844890Z         Cyclical learning rate policy changes the learning rate after every batch.
2025-08-14T20:56:26.6845020Z         `step` should be called after a batch has been used for training.
2025-08-14T20:56:26.6845060Z     
2025-08-14T20:56:26.6845180Z         This class has three built-in policies, as put forth in the paper:
2025-08-14T20:56:26.6845220Z     
2025-08-14T20:56:26.6845340Z         * "triangular": A basic triangular cycle without amplitude scaling.
2025-08-14T20:56:26.6845520Z         * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-08-14T20:56:26.6845710Z         * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-08-14T20:56:26.6845760Z           at each cycle iteration.
2025-08-14T20:56:26.6845810Z     
2025-08-14T20:56:26.6845950Z         This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-08-14T20:56:26.6845990Z     
2025-08-14T20:56:26.6846030Z         Args:
2025-08-14T20:56:26.6846120Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:26.6846290Z             base_lr (float or list): Initial learning rate which is the
2025-08-14T20:56:26.6846390Z                 lower boundary in the cycle for each parameter group.
2025-08-14T20:56:26.6846510Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-14T20:56:26.6846590Z                 for each parameter group. Functionally,
2025-08-14T20:56:26.6846680Z                 it defines the cycle amplitude (max_lr - base_lr).
2025-08-14T20:56:26.6846760Z                 The lr at any cycle is the sum of base_lr
2025-08-14T20:56:26.6846850Z                 and some scaling of the amplitude; therefore
2025-08-14T20:56:26.6846940Z                 max_lr may not actually be reached depending on
2025-08-14T20:56:26.6847000Z                 scaling function.
2025-08-14T20:56:26.6847100Z             step_size_up (int): Number of training iterations in the
2025-08-14T20:56:26.6847180Z                 increasing half of a cycle. Default: 2000
2025-08-14T20:56:26.6847310Z             step_size_down (int): Number of training iterations in the
2025-08-14T20:56:26.6847410Z                 decreasing half of a cycle. If step_size_down is None,
2025-08-14T20:56:26.6847490Z                 it is set to step_size_up. Default: None
2025-08-14T20:56:26.6847590Z             mode (str): One of {triangular, triangular2, exp_range}.
2025-08-14T20:56:26.6847680Z                 Values correspond to policies detailed above.
2025-08-14T20:56:26.6847770Z                 If scale_fn is not None, this argument is ignored.
2025-08-14T20:56:26.6847830Z                 Default: 'triangular'
2025-08-14T20:56:26.6847930Z             gamma (float): Constant in 'exp_range' scaling function:
2025-08-14T20:56:26.6847990Z                 gamma**(cycle iterations)
2025-08-14T20:56:26.6848050Z                 Default: 1.0
2025-08-14T20:56:26.6848160Z             scale_fn (function): Custom scaling policy defined by a single
2025-08-14T20:56:26.6848240Z                 argument lambda function, where
2025-08-14T20:56:26.6848310Z                 0 <= scale_fn(x) <= 1 for all x >= 0.
2025-08-14T20:56:26.6848380Z                 If specified, then 'mode' is ignored.
2025-08-14T20:56:26.6848440Z                 Default: None
2025-08-14T20:56:26.6848520Z             scale_mode (str): {'cycle', 'iterations'}.
2025-08-14T20:56:26.6848600Z                 Defines whether scale_fn is evaluated on
2025-08-14T20:56:26.6848680Z                 cycle number or cycle iterations (training
2025-08-14T20:56:26.6848750Z                 iterations since start of cycle).
2025-08-14T20:56:26.6848800Z                 Default: 'cycle'
2025-08-14T20:56:26.6848920Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-14T20:56:26.6849030Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-14T20:56:26.6849090Z                 Default: True
2025-08-14T20:56:26.6849250Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-14T20:56:26.6849380Z                 for each parameter group. Note that momentum is cycled inversely
2025-08-14T20:56:26.6849480Z                 to learning rate; at the peak of a cycle, momentum is
2025-08-14T20:56:26.6849570Z                 'base_momentum' and learning rate is 'max_lr'.
2025-08-14T20:56:26.6849620Z                 Default: 0.8
2025-08-14T20:56:26.6849750Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-14T20:56:26.6849830Z                 for each parameter group. Functionally,
2025-08-14T20:56:26.6849940Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-14T20:56:26.6850050Z                 The momentum at any cycle is the difference of max_momentum
2025-08-14T20:56:26.6850140Z                 and some scaling of the amplitude; therefore
2025-08-14T20:56:26.6850250Z                 base_momentum may not actually be reached depending on
2025-08-14T20:56:26.6850350Z                 scaling function. Note that momentum is cycled inversely
2025-08-14T20:56:26.6850540Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-14T20:56:26.6850600Z                 and learning rate is 'base_lr'
2025-08-14T20:56:26.6850660Z                 Default: 0.9
2025-08-14T20:56:26.6850800Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-08-14T20:56:26.6850930Z                 resuming a training job. Since `step()` should be invoked after each
2025-08-14T20:56:26.6851070Z                 batch instead of after each epoch, this number represents the total
2025-08-14T20:56:26.6851200Z                 number of *batches* computed, not the total number of epochs computed.
2025-08-14T20:56:26.6851320Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-08-14T20:56:26.6851370Z                 Default: -1
2025-08-14T20:56:26.6851410Z     
2025-08-14T20:56:26.6851500Z         Example:
2025-08-14T20:56:26.6851560Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6851700Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-08-14T20:56:26.6851790Z             >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-08-14T20:56:26.6851850Z             ...     optimizer,
2025-08-14T20:56:26.6851900Z             ...     base_lr=0.01,
2025-08-14T20:56:26.6851950Z             ...     max_lr=0.1,
2025-08-14T20:56:26.6852000Z             ...     step_size_up=10,
2025-08-14T20:56:26.6852040Z             ... )
2025-08-14T20:56:26.6852140Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-14T20:56:26.6852190Z             >>> for epoch in range(10):
2025-08-14T20:56:26.6852260Z             >>>     for batch in data_loader:
2025-08-14T20:56:26.6852310Z             >>>         train_batch(...)
2025-08-14T20:56:26.6852370Z             >>>         scheduler.step()
2025-08-14T20:56:26.6852410Z     
2025-08-14T20:56:26.6852510Z         .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-08-14T20:56:26.6852550Z     
2025-08-14T20:56:26.6852740Z         .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-08-14T20:56:26.6852840Z         .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-08-14T20:56:26.6852880Z         
2025-08-14T20:56:26.6853030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6853060Z     
2025-08-14T20:56:26.6853120Z       warnings.warn(msg)
2025-08-14T20:56:26.6853150Z     
2025-08-14T20:56:26.6853260Z --- Parse Warning: 104 / 146 ---
2025-08-14T20:56:26.6853980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1722.
2025-08-14T20:56:26.6854150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6854290Z     Set the learning rate of each parameter group using a cosine annealing schedule.
2025-08-14T20:56:26.6854340Z     
2025-08-14T20:56:26.6854450Z         The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-08-14T20:56:26.6854590Z         is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-08-14T20:56:26.6854670Z         of epochs between two warm restarts in SGDR:
2025-08-14T20:56:26.6854710Z     
2025-08-14T20:56:26.6854750Z         .. math::
2025-08-14T20:56:26.6854860Z             \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-08-14T20:56:26.6854950Z             \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-08-14T20:56:26.6854980Z     
2025-08-14T20:56:26.6855090Z         When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-08-14T20:56:26.6855200Z         When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-08-14T20:56:26.6855250Z     
2025-08-14T20:56:26.6855360Z         It has been proposed in
2025-08-14T20:56:26.6855470Z         `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-08-14T20:56:26.6855510Z     
2025-08-14T20:56:26.6855550Z         Args:
2025-08-14T20:56:26.6855630Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:26.6855730Z             T_0 (int): Number of iterations until the first restart.
2025-08-14T20:56:26.6855900Z             T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-08-14T20:56:26.6856010Z             eta_min (float, optional): Minimum learning rate. Default: 0.
2025-08-14T20:56:26.6856140Z             last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-08-14T20:56:26.6856180Z     
2025-08-14T20:56:26.6856280Z         .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-08-14T20:56:26.6856350Z             https://arxiv.org/abs/1608.03983
2025-08-14T20:56:26.6856410Z     
2025-08-14T20:56:26.6856460Z         Example:
2025-08-14T20:56:26.6856510Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6856620Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-08-14T20:56:26.6856770Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-08-14T20:56:26.6856820Z             ...     optimizer, T_0=20
2025-08-14T20:56:26.6856860Z             ... )
2025-08-14T20:56:26.6856920Z             >>> for epoch in range(100):
2025-08-14T20:56:26.6856970Z             >>>     train(...)
2025-08-14T20:56:26.6857020Z             >>>     validate(...)
2025-08-14T20:56:26.6857080Z             >>>     scheduler.step()
2025-08-14T20:56:26.6857120Z     
2025-08-14T20:56:26.6857260Z         .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-08-14T20:56:26.6857310Z         
2025-08-14T20:56:26.6857460Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6857500Z     
2025-08-14T20:56:26.6857560Z       warnings.warn(msg)
2025-08-14T20:56:26.6857600Z     
2025-08-14T20:56:26.6857700Z --- Parse Warning: 105 / 146 ---
2025-08-14T20:56:26.6858380Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1872.
2025-08-14T20:56:26.6858530Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6858710Z     Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-08-14T20:56:26.6858750Z     
2025-08-14T20:56:26.6858930Z         The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-08-14T20:56:26.6859170Z         learning rate and then from that maximum learning rate to some minimum learning rate much
2025-08-14T20:56:26.6859240Z         lower than the initial learning rate.
2025-08-14T20:56:26.6859380Z         This policy was initially described in the paper `Super-Convergence:
2025-08-14T20:56:26.6859510Z         Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-08-14T20:56:26.6859540Z     
2025-08-14T20:56:26.6859690Z         The 1cycle learning rate policy changes the learning rate after every batch.
2025-08-14T20:56:26.6859810Z         `step` should be called after a batch has been used for training.
2025-08-14T20:56:26.6859850Z     
2025-08-14T20:56:26.6859910Z         This scheduler is not chainable.
2025-08-14T20:56:26.6859950Z     
2025-08-14T20:56:26.6860090Z         Note also that the total number of steps in the cycle can be determined in one
2025-08-14T20:56:26.6860170Z         of two ways (listed in order of precedence):
2025-08-14T20:56:26.6860210Z     
2025-08-14T20:56:26.6860300Z         #. A value for total_steps is explicitly provided.
2025-08-14T20:56:26.6863740Z         #. A number of epochs (epochs) and a number of steps per epoch
2025-08-14T20:56:26.6863930Z            (steps_per_epoch) are provided.
2025-08-14T20:56:26.6864030Z            In this case, the number of total steps is inferred by
2025-08-14T20:56:26.6864100Z            total_steps = epochs * steps_per_epoch
2025-08-14T20:56:26.6864140Z     
2025-08-14T20:56:26.6864280Z         You must either provide a value for total_steps or provide a value for both
2025-08-14T20:56:26.6864340Z         epochs and steps_per_epoch.
2025-08-14T20:56:26.6864380Z     
2025-08-14T20:56:26.6864560Z         The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-08-14T20:56:26.6864740Z         claims that "unpublished work has shown even better results by using only two phases". To
2025-08-14T20:56:26.6864890Z         mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-08-14T20:56:26.6864940Z     
2025-08-14T20:56:26.6865010Z         Args:
2025-08-14T20:56:26.6865090Z             optimizer (Optimizer): Wrapped optimizer.
2025-08-14T20:56:26.6865220Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-08-14T20:56:26.6865280Z                 for each parameter group.
2025-08-14T20:56:26.6865400Z             total_steps (int): The total number of steps in the cycle. Note that
2025-08-14T20:56:26.6865530Z                 if a value is not provided here, then it must be inferred by providing
2025-08-14T20:56:26.6865610Z                 a value for epochs and steps_per_epoch.
2025-08-14T20:56:26.6865660Z                 Default: None
2025-08-14T20:56:26.6865790Z             epochs (int): The number of epochs to train for. This is used along
2025-08-14T20:56:26.6865940Z                 with steps_per_epoch in order to infer the total number of steps in the cycle
2025-08-14T20:56:26.6866020Z                 if a value for total_steps is not provided.
2025-08-14T20:56:26.6866080Z                 Default: None
2025-08-14T20:56:26.6866210Z             steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-08-14T20:56:26.6866360Z                 used along with epochs in order to infer the total number of steps in the
2025-08-14T20:56:26.6866450Z                 cycle if a value for total_steps is not provided.
2025-08-14T20:56:26.6866500Z                 Default: None
2025-08-14T20:56:26.6866640Z             pct_start (float): The percentage of the cycle (in number of steps) spent
2025-08-14T20:56:26.6866700Z                 increasing the learning rate.
2025-08-14T20:56:26.6866750Z                 Default: 0.3
2025-08-14T20:56:26.6866830Z             anneal_strategy (str): {'cos', 'linear'}
2025-08-14T20:56:26.6866970Z                 Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-08-14T20:56:26.6867030Z                 linear annealing.
2025-08-14T20:56:26.6867080Z                 Default: 'cos'
2025-08-14T20:56:26.6867240Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-08-14T20:56:26.6867370Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-08-14T20:56:26.6867420Z                 Default: True
2025-08-14T20:56:26.6867550Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-08-14T20:56:26.6867670Z                 for each parameter group. Note that momentum is cycled inversely
2025-08-14T20:56:26.6867770Z                 to learning rate; at the peak of a cycle, momentum is
2025-08-14T20:56:26.6867860Z                 'base_momentum' and learning rate is 'max_lr'.
2025-08-14T20:56:26.6867910Z                 Default: 0.85
2025-08-14T20:56:26.6868030Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-08-14T20:56:26.6868110Z                 for each parameter group. Functionally,
2025-08-14T20:56:26.6868230Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-08-14T20:56:26.6868310Z                 Note that momentum is cycled inversely
2025-08-14T20:56:26.6868500Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-08-14T20:56:26.6868570Z                 and learning rate is 'base_lr'
2025-08-14T20:56:26.6868620Z                 Default: 0.95
2025-08-14T20:56:26.6868730Z             div_factor (float): Determines the initial learning rate via
2025-08-14T20:56:26.6868800Z                 initial_lr = max_lr/div_factor
2025-08-14T20:56:26.6868850Z                 Default: 25
2025-08-14T20:56:26.6868970Z             final_div_factor (float): Determines the minimum learning rate via
2025-08-14T20:56:26.6869050Z                 min_lr = initial_lr/final_div_factor
2025-08-14T20:56:26.6869100Z                 Default: 1e4
2025-08-14T20:56:26.6869250Z             three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-08-14T20:56:26.6869400Z                 learning rate according to 'final_div_factor' instead of modifying the second
2025-08-14T20:56:26.6869570Z                 phase (the first two phases will be symmetrical about the step indicated by
2025-08-14T20:56:26.6869620Z                 'pct_start').
2025-08-14T20:56:26.6869750Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-08-14T20:56:26.6869890Z                 resuming a training job. Since `step()` should be invoked after each
2025-08-14T20:56:26.6870020Z                 batch instead of after each epoch, this number represents the total
2025-08-14T20:56:26.6870150Z                 number of *batches* computed, not the total number of epochs computed.
2025-08-14T20:56:26.6870270Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-08-14T20:56:26.6870320Z                 Default: -1
2025-08-14T20:56:26.6870360Z     
2025-08-14T20:56:26.6870400Z         Example:
2025-08-14T20:56:26.6870450Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6870550Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-08-14T20:56:26.6870690Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-08-14T20:56:26.6870790Z             >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-08-14T20:56:26.6870920Z             ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-08-14T20:56:26.6870960Z             ... )
2025-08-14T20:56:26.6871020Z             >>> for epoch in range(10):
2025-08-14T20:56:26.6871090Z             >>>     for batch in data_loader:
2025-08-14T20:56:26.6871150Z             >>>         train_batch(...)
2025-08-14T20:56:26.6871200Z             >>>         optimizer.step()
2025-08-14T20:56:26.6871260Z             >>>         scheduler.step()
2025-08-14T20:56:26.6871300Z     
2025-08-14T20:56:26.6871410Z         .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-08-14T20:56:26.6871450Z     
2025-08-14T20:56:26.6871680Z         .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-08-14T20:56:26.6871750Z             https://arxiv.org/abs/1708.07120
2025-08-14T20:56:26.6871790Z         
2025-08-14T20:56:26.6871950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6871980Z     
2025-08-14T20:56:26.6872040Z       warnings.warn(msg)
2025-08-14T20:56:26.6872080Z     
2025-08-14T20:56:26.6872200Z --- Parse Warning: 106 / 146 ---
2025-08-14T20:56:26.6872840Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-08-14T20:56:26.6872990Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6873210Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-08-14T20:56:26.6873250Z     
2025-08-14T20:56:26.6873390Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-08-14T20:56:26.6873590Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-08-14T20:56:26.6873720Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-08-14T20:56:26.6873760Z         (UAI 2018).
2025-08-14T20:56:26.6873800Z     
2025-08-14T20:56:26.6873930Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-08-14T20:56:26.6874080Z         but using exponential weights instead of equal weights across iterations.
2025-08-14T20:56:26.6874120Z     
2025-08-14T20:56:26.6874260Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-08-14T20:56:26.6874390Z         on the device :attr:`device` and allows to compute running averages of the
2025-08-14T20:56:26.6874450Z         parameters of the :attr:`model`.
2025-08-14T20:56:26.6874490Z     
2025-08-14T20:56:26.6874570Z         Args:
2025-08-14T20:56:26.6874660Z             model (torch.nn.Module): model to use with SWA/EMA
2025-08-14T20:56:26.6874810Z             device (torch.device, optional): if provided, the averaged model will be
2025-08-14T20:56:26.6874870Z                 stored on the :attr:`device`
2025-08-14T20:56:26.6875000Z             avg_fn (function, optional): the averaging function used to update
2025-08-14T20:56:26.6875110Z                 parameters; the function must take in the current value of the
2025-08-14T20:56:26.6875250Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-08-14T20:56:26.6875360Z                 parameter, and the number of models already averaged; if None,
2025-08-14T20:56:26.6875460Z                 an equally weighted average is used (default: None)
2025-08-14T20:56:26.6875600Z             multi_avg_fn (function, optional): the averaging function used to update
2025-08-14T20:56:26.6875740Z                 parameters inplace; the function must take in the current values of the
2025-08-14T20:56:26.6875910Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-08-14T20:56:26.6876040Z                 parameters as a list, and the number of models already averaged; if None,
2025-08-14T20:56:26.6876140Z                 an equally weighted average is used (default: None)
2025-08-14T20:56:26.6876270Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-08-14T20:56:26.6876400Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-08-14T20:56:26.6876440Z     
2025-08-14T20:56:26.6876480Z         Example:
2025-08-14T20:56:26.6876560Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6876640Z             >>> loader, optimizer, model, loss_fn = ...
2025-08-14T20:56:26.6876740Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-08-14T20:56:26.6876920Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-08-14T20:56:26.6876990Z             >>>                                     T_max=300)
2025-08-14T20:56:26.6877050Z             >>> swa_start = 160
2025-08-14T20:56:26.6877130Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-08-14T20:56:26.6877190Z             >>> for i in range(300):
2025-08-14T20:56:26.6877260Z             >>>      for input, target in loader:
2025-08-14T20:56:26.6877320Z             >>>          optimizer.zero_grad()
2025-08-14T20:56:26.6877410Z             >>>          loss_fn(model(input), target).backward()
2025-08-14T20:56:26.6877470Z             >>>          optimizer.step()
2025-08-14T20:56:26.6877520Z             >>>      if i > swa_start:
2025-08-14T20:56:26.6877600Z             >>>          swa_model.update_parameters(model)
2025-08-14T20:56:26.6877670Z             >>>          swa_scheduler.step()
2025-08-14T20:56:26.6877710Z             >>>      else:
2025-08-14T20:56:26.6877780Z             >>>          scheduler.step()
2025-08-14T20:56:26.6877820Z             >>>
2025-08-14T20:56:26.6877980Z             >>> # Update bn statistics for the swa_model at the end
2025-08-14T20:56:26.6878080Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-08-14T20:56:26.6878120Z     
2025-08-14T20:56:26.6878300Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-08-14T20:56:26.6878420Z         If no averaging function is provided, the default is to compute
2025-08-14T20:56:26.6878510Z         equally-weighted average of the weights (SWA).
2025-08-14T20:56:26.6878550Z     
2025-08-14T20:56:26.6878590Z         Example:
2025-08-14T20:56:26.6878670Z             >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.6878800Z             >>> # Compute exponential moving averages of the weights and buffers
2025-08-14T20:56:26.6878900Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-08-14T20:56:26.6879040Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-08-14T20:56:26.6879100Z     
2025-08-14T20:56:26.6879150Z         .. note::
2025-08-14T20:56:26.6879280Z             When using SWA/EMA with models containing Batch Normalization you may
2025-08-14T20:56:26.6879410Z             need to update the activation statistics for Batch Normalization.
2025-08-14T20:56:26.6879550Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-08-14T20:56:26.6879690Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-08-14T20:56:26.6879840Z             statistics in a post-training step by passing data through the model. The
2025-08-14T20:56:26.6879990Z             second does it during the parameter update phase by averaging all buffers.
2025-08-14T20:56:26.6880130Z             Empirical evidence has shown that updating the statistics in normalization
2025-08-14T20:56:26.6880270Z             layers increases accuracy, but you may wish to empirically test which
2025-08-14T20:56:26.6880360Z             approach yields the best results in your problem.
2025-08-14T20:56:26.6880400Z     
2025-08-14T20:56:26.6880450Z         .. note::
2025-08-14T20:56:26.6880600Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-08-14T20:56:26.6880640Z     
2025-08-14T20:56:26.6880680Z         .. note::
2025-08-14T20:56:26.6880800Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-08-14T20:56:26.6880920Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-08-14T20:56:26.6881040Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-08-14T20:56:26.6881150Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-08-14T20:56:26.6881210Z             to update the parameters.
2025-08-14T20:56:26.6881250Z     
2025-08-14T20:56:26.6881460Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-14T20:56:26.6881530Z             https://arxiv.org/abs/1803.05407
2025-08-14T20:56:26.6881670Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-08-14T20:56:26.6881720Z             Average:
2025-08-14T20:56:26.6881790Z             https://arxiv.org/abs/1806.05594
2025-08-14T20:56:26.6881900Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-08-14T20:56:26.6881970Z             https://arxiv.org/abs/1904.11943
2025-08-14T20:56:26.6882100Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-08-14T20:56:26.6882150Z             Generalizes Well:
2025-08-14T20:56:26.6882220Z             https://arxiv.org/abs/2001.02312
2025-08-14T20:56:26.6882270Z         .. _Polyak averaging:
2025-08-14T20:56:26.6882370Z             https://paperswithcode.com/method/polyak-averaging
2025-08-14T20:56:26.6882410Z         
2025-08-14T20:56:26.6882570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6882610Z     
2025-08-14T20:56:26.6882710Z       warnings.warn(msg)
2025-08-14T20:56:26.6882750Z     
2025-08-14T20:56:26.6882860Z --- Parse Warning: 107 / 146 ---
2025-08-14T20:56:26.6883470Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-08-14T20:56:26.6883630Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6883760Z     Anneals the learning rate in each parameter group to a fixed value.
2025-08-14T20:56:26.6883800Z     
2025-08-14T20:56:26.6883930Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-08-14T20:56:26.6884060Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-08-14T20:56:26.6884120Z     
2025-08-14T20:56:26.6884170Z         Args:
2025-08-14T20:56:26.6884270Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-08-14T20:56:26.6884400Z             swa_lrs (float or list): the learning rate value for all param groups
2025-08-14T20:56:26.6884480Z                 together or separately for each group.
2025-08-14T20:56:26.6884600Z             annealing_epochs (int): number of epochs in the annealing phase
2025-08-14T20:56:26.6884650Z                 (default: 10)
2025-08-14T20:56:26.6884780Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-08-14T20:56:26.6884910Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-08-14T20:56:26.6884960Z                 (default: "cos")
2025-08-14T20:56:26.6885070Z             last_epoch (int): the index of the last epoch (default: -1)
2025-08-14T20:56:26.6885110Z     
2025-08-14T20:56:26.6885220Z         The :class:`SWALR` scheduler can be used together with other
2025-08-14T20:56:26.6885350Z         schedulers to switch to a constant learning rate late in the training
2025-08-14T20:56:26.6885410Z         as in the example below.
2025-08-14T20:56:26.6885450Z     
2025-08-14T20:56:26.6885490Z         Example:
2025-08-14T20:56:26.6885570Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-08-14T20:56:26.6885640Z             >>> loader, optimizer, model = ...
2025-08-14T20:56:26.6885700Z             >>> lr_lambda = lambda epoch: 0.9
2025-08-14T20:56:26.6885840Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-08-14T20:56:26.6885900Z             >>>        lr_lambda=lr_lambda)
2025-08-14T20:56:26.6886000Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-08-14T20:56:26.6886110Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-08-14T20:56:26.6886160Z             >>> swa_start = 160
2025-08-14T20:56:26.6886250Z             >>> for i in range(300):
2025-08-14T20:56:26.6886330Z             >>>      for input, target in loader:
2025-08-14T20:56:26.6886400Z             >>>          optimizer.zero_grad()
2025-08-14T20:56:26.6886480Z             >>>          loss_fn(model(input), target).backward()
2025-08-14T20:56:26.6886540Z             >>>          optimizer.step()
2025-08-14T20:56:26.6886590Z             >>>      if i > swa_start:
2025-08-14T20:56:26.6886660Z             >>>          swa_scheduler.step()
2025-08-14T20:56:26.6886700Z             >>>      else:
2025-08-14T20:56:26.6886760Z             >>>          scheduler.step()
2025-08-14T20:56:26.6886800Z     
2025-08-14T20:56:26.6886930Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-08-14T20:56:26.6887000Z             https://arxiv.org/abs/1803.05407
2025-08-14T20:56:26.6887040Z         
2025-08-14T20:56:26.6887190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6887230Z     
2025-08-14T20:56:26.6887280Z       warnings.warn(msg)
2025-08-14T20:56:26.6887320Z     
2025-08-14T20:56:26.6887420Z --- Parse Warning: 108 / 146 ---
2025-08-14T20:56:26.6888150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/optim/optimizer.py line=867.
2025-08-14T20:56:26.6888300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6888360Z     Load the optimizer state.
2025-08-14T20:56:26.6888400Z     
2025-08-14T20:56:26.6888440Z             Args:
2025-08-14T20:56:26.6888560Z                 state_dict (dict): optimizer state. Should be an object returned
2025-08-14T20:56:26.6888640Z                     from a call to :meth:`state_dict`.
2025-08-14T20:56:26.6888670Z     
2025-08-14T20:56:26.6888720Z             .. warning::
2025-08-14T20:56:26.6888920Z                 Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-08-14T20:56:26.6889090Z                 as calling it beforehand will overwrite the loaded learning rates.
2025-08-14T20:56:26.6889130Z     
2025-08-14T20:56:26.6889180Z             .. note::
2025-08-14T20:56:26.6889350Z                 The names of the parameters (if they exist under the "param_names" key of each param group
2025-08-14T20:56:26.6889460Z                 in :meth:`state_dict`) will not affect the loading process.
2025-08-14T20:56:26.6889650Z                 To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-08-14T20:56:26.6889750Z                 differ from those initialized in the optimizer),
2025-08-14T20:56:26.6889930Z                 a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-08-14T20:56:26.6889980Z                 accordingly.
2025-08-14T20:56:26.6890160Z                 If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-08-14T20:56:26.6890350Z                 the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-08-14T20:56:26.6890450Z                 the optimizer ``param_names`` will remain unchanged.
2025-08-14T20:56:26.6890490Z     
2025-08-14T20:56:26.6890530Z             Example:
2025-08-14T20:56:26.6890590Z                 >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6890660Z                 >>> model = torch.nn.Linear(10, 10)
2025-08-14T20:56:26.6890770Z                 >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-08-14T20:56:26.6890870Z                 >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-08-14T20:56:26.6890910Z                 ...     optim,
2025-08-14T20:56:26.6890970Z                 ...     start_factor=0.1,
2025-08-14T20:56:26.6891020Z                 ...     end_factor=1,
2025-08-14T20:56:26.6891120Z                 ...     total_iters=20,
2025-08-14T20:56:26.6891160Z                 ... )
2025-08-14T20:56:26.6891280Z                 >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-08-14T20:56:26.6891330Z                 ...     optim,
2025-08-14T20:56:26.6891380Z                 ...     T_max=80,
2025-08-14T20:56:26.6891430Z                 ...     eta_min=3e-5,
2025-08-14T20:56:26.6891480Z                 ... )
2025-08-14T20:56:26.6891570Z                 >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-08-14T20:56:26.6891610Z                 ...     optim,
2025-08-14T20:56:26.6891700Z                 ...     schedulers=[scheduler1, scheduler2],
2025-08-14T20:56:26.6891750Z                 ...     milestones=[20],
2025-08-14T20:56:26.6891790Z                 ... )
2025-08-14T20:56:26.6891880Z                 >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-08-14T20:56:26.6892010Z                 >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-08-14T20:56:26.6892110Z                 >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-08-14T20:56:26.6892200Z     
2025-08-14T20:56:26.6892240Z             
2025-08-14T20:56:26.6892390Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6892430Z     
2025-08-14T20:56:26.6892480Z       warnings.warn(msg)
2025-08-14T20:56:26.6892520Z     
2025-08-14T20:56:26.6892620Z --- Parse Warning: 109 / 146 ---
2025-08-14T20:56:26.6893360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1218.
2025-08-14T20:56:26.6893520Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6893560Z     
2025-08-14T20:56:26.6893690Z     Context passed to policy function during selective checkpointing.
2025-08-14T20:56:26.6893770Z     
2025-08-14T20:56:26.6893910Z     This class is used to pass relevant metadata to the policy function during
2025-08-14T20:56:26.6894070Z     selective checkpointing. The metadata includes whether the current invocation
2025-08-14T20:56:26.6894170Z     of the policy function is during recomputation or not.
2025-08-14T20:56:26.6894220Z     
2025-08-14T20:56:26.6894260Z     Example:
2025-08-14T20:56:26.6894320Z         >>> # xdoctest: +SKIP(stub)
2025-08-14T20:56:26.6894360Z         >>>
2025-08-14T20:56:26.6894440Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-14T20:56:26.6894500Z         >>>    print(ctx.is_recompute)
2025-08-14T20:56:26.6894540Z         >>>
2025-08-14T20:56:26.6894710Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-14T20:56:26.6894750Z         >>>
2025-08-14T20:56:26.6894840Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-08-14T20:56:26.6894890Z         >>>     fn, x, y,
2025-08-14T20:56:26.6894960Z         >>>     use_reentrant=False,
2025-08-14T20:56:26.6895010Z         >>>     context_fn=context_fn,
2025-08-14T20:56:26.6895050Z         >>> )
2025-08-14T20:56:26.6895090Z     
2025-08-14T20:56:26.6895240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6895280Z     
2025-08-14T20:56:26.6895330Z       warnings.warn(msg)
2025-08-14T20:56:26.6895370Z     
2025-08-14T20:56:26.6895470Z --- Parse Warning: 110 / 146 ---
2025-08-14T20:56:26.6896170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1358.
2025-08-14T20:56:26.6896320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6896400Z     
2025-08-14T20:56:26.6896540Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-08-14T20:56:26.6896580Z     
2025-08-14T20:56:26.6896710Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-08-14T20:56:26.6896810Z     operations are recomputed during the backward pass.
2025-08-14T20:56:26.6896850Z     
2025-08-14T20:56:26.6896890Z     Args:
2025-08-14T20:56:26.6896960Z         policy_fn_or_list (Callable or List):
2025-08-14T20:56:26.6897060Z           - If a policy function is provided, it should accept a
2025-08-14T20:56:26.6897200Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-08-14T20:56:26.6897330Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-08-14T20:56:26.6897470Z             indicating whether the execution of the op should be recomputed or not.
2025-08-14T20:56:26.6897600Z           - If a list of operations is provided, it is equivalent to a policy
2025-08-14T20:56:26.6897710Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-08-14T20:56:26.6897910Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-08-14T20:56:26.6897960Z             operations.
2025-08-14T20:56:26.6898090Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-08-14T20:56:26.6898220Z             raised if any tensors cached by selective activation checkpoint are
2025-08-14T20:56:26.6898340Z             mutated in order to ensure correctness. If set to `True`, this check
2025-08-14T20:56:26.6898390Z             is disabled.
2025-08-14T20:56:26.6898430Z     Returns:
2025-08-14T20:56:26.6898490Z         A tuple of two context managers.
2025-08-14T20:56:26.6898530Z     
2025-08-14T20:56:26.6898570Z     Example:
2025-08-14T20:56:26.6898630Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-08-14T20:56:26.6898680Z         >>> import functools
2025-08-14T20:56:26.6898720Z         >>>
2025-08-14T20:56:26.6898800Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-08-14T20:56:26.6898900Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-08-14T20:56:26.6898940Z         >>>
2025-08-14T20:56:26.6898990Z         >>> ops_to_save = [
2025-08-14T20:56:26.6899050Z         >>>    torch.ops.aten.mm.default,
2025-08-14T20:56:26.6899090Z         >>> ]
2025-08-14T20:56:26.6899130Z         >>>
2025-08-14T20:56:26.6899200Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-08-14T20:56:26.6899260Z         >>>    if op in ops_to_save:
2025-08-14T20:56:26.6899340Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-08-14T20:56:26.6899380Z         >>>    else:
2025-08-14T20:56:26.6899470Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-08-14T20:56:26.6899510Z         >>>
2025-08-14T20:56:26.6899670Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-08-14T20:56:26.6899710Z         >>>
2025-08-14T20:56:26.6899760Z         >>> # or equivalently
2025-08-14T20:56:26.6899930Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-08-14T20:56:26.6899970Z         >>>
2025-08-14T20:56:26.6900020Z         >>> def fn(x, y):
2025-08-14T20:56:26.6900140Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-08-14T20:56:26.6900180Z         >>>
2025-08-14T20:56:26.6900260Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-08-14T20:56:26.6900310Z         >>>     fn, x, y,
2025-08-14T20:56:26.6900360Z         >>>     use_reentrant=False,
2025-08-14T20:56:26.6900420Z         >>>     context_fn=context_fn,
2025-08-14T20:56:26.6900460Z         >>> )
2025-08-14T20:56:26.6900500Z     
2025-08-14T20:56:26.6900650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6900690Z     
2025-08-14T20:56:26.6900740Z       warnings.warn(msg)
2025-08-14T20:56:26.6900770Z     
2025-08-14T20:56:26.6900880Z --- Parse Warning: 111 / 146 ---
2025-08-14T20:56:26.6901640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-08-14T20:56:26.6901800Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6901840Z     
2025-08-14T20:56:26.6902010Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-08-14T20:56:26.6902050Z     
2025-08-14T20:56:26.6902220Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-08-14T20:56:26.6902370Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-08-14T20:56:26.6902510Z     server like load. It can emulate multiple calling threads to a single module
2025-08-14T20:56:26.6902650Z     provided. In the future we plan to enhance this component to support inter and
2025-08-14T20:56:26.6902790Z     intra-op parallelism as well as multiple models running in a single process.
2025-08-14T20:56:26.6902890Z     
2025-08-14T20:56:26.6903040Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-08-14T20:56:26.6903170Z     from the need to hold GIL every time we execute Python code or pass around
2025-08-14T20:56:26.6903320Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-08-14T20:56:26.6903460Z     model for inference deployment it is better to switch to using it in this
2025-08-14T20:56:26.6903500Z     benchmark.
2025-08-14T20:56:26.6903540Z     
2025-08-14T20:56:26.6903580Z     Example::
2025-08-14T20:56:26.6903620Z     
2025-08-14T20:56:26.6903690Z         >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.6903780Z         >>> from torch.utils import ThroughputBenchmark
2025-08-14T20:56:26.6903850Z         >>> bench = ThroughputBenchmark(my_module)
2025-08-14T20:56:26.6903980Z         >>> # Pre-populate benchmark's data set with the inputs
2025-08-14T20:56:26.6904030Z         >>> for input in inputs:
2025-08-14T20:56:26.6904170Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-08-14T20:56:26.6904240Z         ...     bench.add_input(input[0], x2=input[1])
2025-08-14T20:56:26.6904360Z         >>> # Inputs supplied above are randomly used during the execution
2025-08-14T20:56:26.6904420Z         >>> stats = bench.benchmark(
2025-08-14T20:56:26.6904470Z         ...     num_calling_threads=4,
2025-08-14T20:56:26.6904530Z         ...     num_warmup_iters = 100,
2025-08-14T20:56:26.6904580Z         ...     num_iters = 1000,
2025-08-14T20:56:26.6904620Z         ... )
2025-08-14T20:56:26.6904730Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-08-14T20:56:26.6904840Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-08-14T20:56:26.6904880Z     
2025-08-14T20:56:26.6905040Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6905080Z     
2025-08-14T20:56:26.6905130Z       warnings.warn(msg)
2025-08-14T20:56:26.6905170Z     
2025-08-14T20:56:26.6905270Z --- Parse Warning: 112 / 146 ---
2025-08-14T20:56:26.6905940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-08-14T20:56:26.6906090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6906170Z     Register a container-like type as pytree node.
2025-08-14T20:56:26.6906210Z     
2025-08-14T20:56:26.6906250Z         Args:
2025-08-14T20:56:26.6906360Z             cls (type): A Python type to treat as an internal pytree node.
2025-08-14T20:56:26.6906570Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-08-14T20:56:26.6906730Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-08-14T20:56:26.6906900Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-08-14T20:56:26.6906970Z                 passed to the ``unflatten_fn``.
2025-08-14T20:56:26.6907140Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-08-14T20:56:26.6907290Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-08-14T20:56:26.6907390Z                 The function should return an instance of ``cls``.
2025-08-14T20:56:26.6907550Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-08-14T20:56:26.6907650Z                 qualified name used when serializing the tree spec.
2025-08-14T20:56:26.6907840Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-08-14T20:56:26.6908060Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-08-14T20:56:26.6908220Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-08-14T20:56:26.6908390Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-08-14T20:56:26.6908810Z Running inductor/test_max_autotune 1/1 ... [2025-08-14 20:56:26.589935]
2025-08-14T20:56:26.6908870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:26.6909450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:26.590200]
2025-08-14T20:56:26.6909640Z                 how to convert the custom json dumpable representation of the context back to the
2025-08-14T20:56:26.6909800Z                 original context. This is used for json deserialization, which is being used in
2025-08-14T20:56:26.6909870Z                 :mod:`torch.export` right now.
2025-08-14T20:56:26.6909910Z     
2025-08-14T20:56:26.6909950Z         Example::
2025-08-14T20:56:26.6909990Z     
2025-08-14T20:56:26.6910050Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6910130Z             >>> # Registry a Python type with lambda functions
2025-08-14T20:56:26.6910190Z             >>> register_pytree_node(
2025-08-14T20:56:26.6910240Z             ...     set,
2025-08-14T20:56:26.6910310Z             ...     lambda s: (sorted(s), None, None),
2025-08-14T20:56:26.6910390Z             ...     lambda children, _: set(children),
2025-08-14T20:56:26.6910430Z             ... )
2025-08-14T20:56:26.6910470Z         
2025-08-14T20:56:26.6910620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6910660Z     
2025-08-14T20:56:26.6910710Z       warnings.warn(msg)
2025-08-14T20:56:26.6910750Z     
2025-08-14T20:56:26.6910850Z --- Parse Warning: 113 / 146 ---
2025-08-14T20:56:26.6911500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1147.
2025-08-14T20:56:26.6911650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6911690Z     
2025-08-14T20:56:26.6911780Z     Create a :class:`setuptools.Extension` for C++.
2025-08-14T20:56:26.6911820Z     
2025-08-14T20:56:26.6911960Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:26.6912140Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-08-14T20:56:26.6912180Z     
2025-08-14T20:56:26.6912310Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:26.6912390Z     constructor. Full list arguments can be found at
2025-08-14T20:56:26.6912590Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-14T20:56:26.6912630Z     
2025-08-14T20:56:26.6912670Z     .. warning::
2025-08-14T20:56:26.6912810Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:26.6912940Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:26.6913060Z         the user's responsibility in their library to not use APIs from
2025-08-14T20:56:26.6913190Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:26.6913320Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:26.6913460Z         example, to give access to custom ops from python, the library should
2025-08-14T20:56:26.6913580Z         register the ops through the dispatcher.
2025-08-14T20:56:26.6913620Z     
2025-08-14T20:56:26.6913750Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:26.6913880Z         as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:26.6914000Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:26.6914130Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:26.6914260Z         safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:26.6914380Z         different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:26.6914440Z         CPython version of choice.
2025-08-14T20:56:26.6914480Z     
2025-08-14T20:56:26.6914520Z     Example:
2025-08-14T20:56:26.6914580Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6914710Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:26.6914770Z         >>> from setuptools import setup
2025-08-14T20:56:26.6914900Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-08-14T20:56:26.6914940Z         >>> setup(
2025-08-14T20:56:26.6915000Z         ...     name='extension',
2025-08-14T20:56:26.6915050Z         ...     ext_modules=[
2025-08-14T20:56:26.6915100Z         ...         CppExtension(
2025-08-14T20:56:26.6915160Z         ...             name='extension',
2025-08-14T20:56:26.6915230Z         ...             sources=['extension.cpp'],
2025-08-14T20:56:26.6915300Z         ...             extra_compile_args=['-g'],
2025-08-14T20:56:26.6915390Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-08-14T20:56:26.6915430Z         ...     ],
2025-08-14T20:56:26.6915480Z         ...     cmdclass={
2025-08-14T20:56:26.6915550Z         ...         'build_ext': BuildExtension
2025-08-14T20:56:26.6915590Z         ...     })
2025-08-14T20:56:26.6915630Z     
2025-08-14T20:56:26.6915780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6915820Z     
2025-08-14T20:56:26.6919220Z       warnings.warn(msg)
2025-08-14T20:56:26.6919260Z     
2025-08-14T20:56:26.6919380Z --- Parse Warning: 114 / 146 ---
2025-08-14T20:56:26.6920040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1217.
2025-08-14T20:56:26.6920200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6920240Z     
2025-08-14T20:56:26.6920330Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-08-14T20:56:26.6920370Z     
2025-08-14T20:56:26.6920590Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:26.6920710Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-08-14T20:56:26.6920850Z     extension. This includes the CUDA include path, library path and runtime
2025-08-14T20:56:26.6920890Z     library.
2025-08-14T20:56:26.6920930Z     
2025-08-14T20:56:26.6921050Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:26.6921140Z     constructor. Full list arguments can be found at
2025-08-14T20:56:26.6921330Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-08-14T20:56:26.6921370Z     
2025-08-14T20:56:26.6921410Z     .. warning::
2025-08-14T20:56:26.6921550Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:26.6921680Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:26.6921800Z         the user's responsibility in their library to not use APIs from
2025-08-14T20:56:26.6921940Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:26.6922140Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:26.6922270Z         example, to give access to custom ops from python, the library should
2025-08-14T20:56:26.6922350Z         register the ops through the dispatcher.
2025-08-14T20:56:26.6922390Z     
2025-08-14T20:56:26.6922520Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:26.6922640Z         as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:26.6922770Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:26.6922890Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:26.6923020Z         safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:26.6923150Z         different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:26.6923240Z         CPython version of choice.
2025-08-14T20:56:26.6923280Z     
2025-08-14T20:56:26.6923330Z     Example:
2025-08-14T20:56:26.6923380Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6923470Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:26.6923530Z         >>> from setuptools import setup
2025-08-14T20:56:26.6923670Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-08-14T20:56:26.6923710Z         >>> setup(
2025-08-14T20:56:26.6923770Z         ...     name='cuda_extension',
2025-08-14T20:56:26.6923820Z         ...     ext_modules=[
2025-08-14T20:56:26.6923880Z         ...         CUDAExtension(
2025-08-14T20:56:26.6923940Z         ...                 name='cuda_extension',
2025-08-14T20:56:26.6924050Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:26.6924130Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-08-14T20:56:26.6924210Z         ...                                     'nvcc': ['-O2']},
2025-08-14T20:56:26.6924300Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-08-14T20:56:26.6924350Z         ...     ],
2025-08-14T20:56:26.6924390Z         ...     cmdclass={
2025-08-14T20:56:26.6924460Z         ...         'build_ext': BuildExtension
2025-08-14T20:56:26.6924500Z         ...     })
2025-08-14T20:56:26.6924540Z     
2025-08-14T20:56:26.6924590Z     Compute capabilities:
2025-08-14T20:56:26.6924630Z     
2025-08-14T20:56:26.6924810Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-14T20:56:26.6924990Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-08-14T20:56:26.6925170Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-08-14T20:56:26.6925400Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-08-14T20:56:26.6925570Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-08-14T20:56:26.6925640Z     support (see below for details on PTX).
2025-08-14T20:56:26.6925680Z     
2025-08-14T20:56:26.6925860Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-08-14T20:56:26.6925930Z     CCs you want the extension to support:
2025-08-14T20:56:26.6925970Z     
2025-08-14T20:56:26.6926080Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-08-14T20:56:26.6926230Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-08-14T20:56:26.6926270Z     
2025-08-14T20:56:26.6926460Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-08-14T20:56:26.6926640Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-08-14T20:56:26.6926820Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-08-14T20:56:26.6927050Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-08-14T20:56:26.6927250Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-08-14T20:56:26.6927410Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-08-14T20:56:26.6927600Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-08-14T20:56:26.6927780Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-08-14T20:56:26.6927840Z     "8.0 8.6" would be better.
2025-08-14T20:56:26.6927880Z     
2025-08-14T20:56:26.6928050Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-08-14T20:56:26.6928230Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-14T20:56:26.6928290Z     
2025-08-14T20:56:26.6928490Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-08-14T20:56:26.6928620Z     To workaround the issue, move python binding logic to pure C++ file.
2025-08-14T20:56:26.6928660Z     
2025-08-14T20:56:26.6928700Z     Example use:
2025-08-14T20:56:26.6928750Z         #include <ATen/ATen.h>
2025-08-14T20:56:26.6928840Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-08-14T20:56:26.6928890Z     
2025-08-14T20:56:26.6928930Z     Instead of:
2025-08-14T20:56:26.6928990Z         #include <torch/extension.h>
2025-08-14T20:56:26.6929080Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-08-14T20:56:26.6929120Z     
2025-08-14T20:56:26.6929280Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-08-14T20:56:26.6929580Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-08-14T20:56:26.6929620Z     
2025-08-14T20:56:26.6929690Z     Relocatable device code linking:
2025-08-14T20:56:26.6929720Z     
2025-08-14T20:56:26.6929890Z     If you want to reference device symbols across compilation units (across object files),
2025-08-14T20:56:26.6930040Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-08-14T20:56:26.6930250Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-08-14T20:56:26.6930450Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-08-14T20:56:26.6930640Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-08-14T20:56:26.6930750Z     helps reduce the protentional perf degradation of `-rdc`.
2025-08-14T20:56:26.6930900Z     Note that it needs to be used at both steps to be useful.
2025-08-14T20:56:26.6930940Z     
2025-08-14T20:56:26.6931160Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-08-14T20:56:26.6931270Z     There is also a case where `-dlink` is used without `-rdc`:
2025-08-14T20:56:26.6931420Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-08-14T20:56:26.6931550Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-08-14T20:56:26.6931590Z     
2025-08-14T20:56:26.6931720Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-08-14T20:56:26.6931750Z     
2025-08-14T20:56:26.6931800Z     Example:
2025-08-14T20:56:26.6931850Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6931940Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:26.6931990Z         >>> CUDAExtension(
2025-08-14T20:56:26.6932050Z         ...        name='cuda_extension',
2025-08-14T20:56:26.6932150Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:26.6932260Z         ...        dlink=True,
2025-08-14T20:56:26.6932330Z         ...        dlink_libraries=["dlink_lib"],
2025-08-14T20:56:26.6932410Z         ...        extra_compile_args={'cxx': ['-g'],
2025-08-14T20:56:26.6932490Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-08-14T20:56:26.6932530Z     
2025-08-14T20:56:26.6932680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6932720Z     
2025-08-14T20:56:26.6932780Z       warnings.warn(msg)
2025-08-14T20:56:26.6932810Z     
2025-08-14T20:56:26.6932920Z --- Parse Warning: 115 / 146 ---
2025-08-14T20:56:26.6933580Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1408.
2025-08-14T20:56:26.6933760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6933800Z     
2025-08-14T20:56:26.6933900Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-08-14T20:56:26.6933930Z     
2025-08-14T20:56:26.6934080Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-08-14T20:56:26.6934200Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-08-14T20:56:26.6934240Z     extension.
2025-08-14T20:56:26.6934280Z     
2025-08-14T20:56:26.6934410Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-08-14T20:56:26.6934450Z     constructor.
2025-08-14T20:56:26.6934490Z     
2025-08-14T20:56:26.6934530Z     .. warning::
2025-08-14T20:56:26.6934670Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-08-14T20:56:26.6934800Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-08-14T20:56:26.6934920Z         the user's responsibility in their library to not use APIs from
2025-08-14T20:56:26.6935060Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-08-14T20:56:26.6935190Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-08-14T20:56:26.6935320Z         example, to give access to custom ops from python, the library should
2025-08-14T20:56:26.6935400Z         register the ops through the dispatcher.
2025-08-14T20:56:26.6935430Z     
2025-08-14T20:56:26.6935570Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-08-14T20:56:26.6935690Z         as a compile flag when py_limited_api is specified as an option for
2025-08-14T20:56:26.6935820Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-08-14T20:56:26.6935950Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-08-14T20:56:26.6936150Z         safety, and sanity in order to encourage best practices. To target a
2025-08-14T20:56:26.6936300Z         different version, set min_supported_cpython to the hexcode of the
2025-08-14T20:56:26.6936370Z         CPython version of choice.
2025-08-14T20:56:26.6936410Z     
2025-08-14T20:56:26.6936450Z     Example:
2025-08-14T20:56:26.6936500Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6936600Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:26.6936730Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-08-14T20:56:26.6936770Z         >>> setup(
2025-08-14T20:56:26.6936830Z         ...     name='xpu_extension',
2025-08-14T20:56:26.6936880Z         ...     ext_modules=[
2025-08-14T20:56:26.6936930Z         ...     SyclExtension(
2025-08-14T20:56:26.6937000Z         ...                 name='xpu_extension',
2025-08-14T20:56:26.6937110Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-08-14T20:56:26.6937220Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-08-14T20:56:26.6937340Z         ...     ],
2025-08-14T20:56:26.6937390Z         ...     cmdclass={
2025-08-14T20:56:26.6937460Z         ...         'build_ext': BuildExtension
2025-08-14T20:56:26.6937500Z         ...     })
2025-08-14T20:56:26.6937540Z     
2025-08-14T20:56:26.6937720Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-08-14T20:56:26.6937870Z     building process of the extension. If down the road a new card is installed the
2025-08-14T20:56:26.6938020Z     extension may need to be recompiled. You can override the default behavior using
2025-08-14T20:56:26.6938200Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-08-14T20:56:26.6938240Z     to support:
2025-08-14T20:56:26.6938280Z     
2025-08-14T20:56:26.6938400Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-08-14T20:56:26.6938450Z     
2025-08-14T20:56:26.6938660Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-08-14T20:56:26.6938840Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-08-14T20:56:26.6938880Z     
2025-08-14T20:56:26.6938960Z     Note: Ninja is required to build SyclExtension.
2025-08-14T20:56:26.6939000Z     
2025-08-14T20:56:26.6939140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6939190Z     
2025-08-14T20:56:26.6939230Z       warnings.warn(msg)
2025-08-14T20:56:26.6939270Z     
2025-08-14T20:56:26.6939370Z --- Parse Warning: 116 / 146 ---
2025-08-14T20:56:26.6940010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1585.
2025-08-14T20:56:26.6940160Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6940210Z     
2025-08-14T20:56:26.6940290Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-08-14T20:56:26.6940330Z     
2025-08-14T20:56:26.6940450Z     To load an extension, a Ninja build file is emitted, which is used to
2025-08-14T20:56:26.6940580Z     compile the given sources into a dynamic library. This library is
2025-08-14T20:56:26.6940710Z     subsequently loaded into the current Python process as a module and
2025-08-14T20:56:26.6940780Z     returned from this function, ready for use.
2025-08-14T20:56:26.6940830Z     
2025-08-14T20:56:26.6940950Z     By default, the directory to which the build file is emitted and the
2025-08-14T20:56:26.6941090Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-08-14T20:56:26.6941210Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-08-14T20:56:26.6941390Z     the name of the extension. This location can be overridden in two ways.
2025-08-14T20:56:26.6941520Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-08-14T20:56:26.6941650Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-08-14T20:56:26.6941780Z     into subfolders of this directory. Second, if the ``build_directory``
2025-08-14T20:56:26.6941920Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-08-14T20:56:26.6942010Z     the library will be compiled into that folder directly.
2025-08-14T20:56:26.6942060Z     
2025-08-14T20:56:26.6942180Z     To compile the sources, the default system compiler (``c++``) is used,
2025-08-14T20:56:26.6942320Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-08-14T20:56:26.6942450Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-08-14T20:56:26.6942590Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-08-14T20:56:26.6942720Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-08-14T20:56:26.6942870Z     ``extra_cflags`` to pass further include directories.
2025-08-14T20:56:26.6942910Z     
2025-08-14T20:56:26.6943050Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-08-14T20:56:26.6943160Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-08-14T20:56:26.6943300Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-08-14T20:56:26.6943430Z     passing the CUDA lib64 directory as a library directory, and linking
2025-08-14T20:56:26.6943520Z     ``cudart``. You can pass additional flags to nvcc via
2025-08-14T20:56:26.6943640Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-08-14T20:56:26.6943780Z     heuristics for finding the CUDA install directory are used, which usually
2025-08-14T20:56:26.6943910Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-08-14T20:56:26.6943990Z     safest option.
2025-08-14T20:56:26.6944030Z     
2025-08-14T20:56:26.6944170Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-08-14T20:56:26.6944290Z     files (``.sycl``) along with other sources. Such files will be detected
2025-08-14T20:56:26.6944420Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-08-14T20:56:26.6944540Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-08-14T20:56:26.6944660Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-08-14T20:56:26.6944780Z     SYCL compiler is expected to be found via system PATH environment
2025-08-14T20:56:26.6944830Z     variable.
2025-08-14T20:56:26.6944860Z     
2025-08-14T20:56:26.6944910Z     Args:
2025-08-14T20:56:26.6945030Z         name: The name of the extension to build. This MUST be the same as the
2025-08-14T20:56:26.6945100Z             name of the pybind11 module!
2025-08-14T20:56:26.6945220Z         sources: A list of relative or absolute paths to C++ source files.
2025-08-14T20:56:26.6945360Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-08-14T20:56:26.6945480Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-08-14T20:56:26.6945540Z             when building CUDA sources.
2025-08-14T20:56:26.6945670Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-08-14T20:56:26.6945740Z             compiler when building SYCL sources.
2025-08-14T20:56:26.6945870Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-08-14T20:56:26.6946000Z         extra_include_paths: optional list of include directories to forward
2025-08-14T20:56:26.6946050Z             to the build.
2025-08-14T20:56:26.6946160Z         build_directory: optional path to use as build workspace.
2025-08-14T20:56:26.6946350Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-08-14T20:56:26.6946480Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-14T20:56:26.6946580Z             the build. If set to ``None`` (default), this value is
2025-08-14T20:56:26.6946700Z             automatically determined based on the existence of ``.cu`` or
2025-08-14T20:56:26.6946810Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-08-14T20:56:26.6946870Z             and libraries to be included.
2025-08-14T20:56:26.6947000Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-14T20:56:26.6947090Z             the build. If set to ``None`` (default), this value is
2025-08-14T20:56:26.6947220Z             automatically determined based on the existence of ``.sycl`` in
2025-08-14T20:56:26.6947320Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-08-14T20:56:26.6947380Z             libraries to be included.
2025-08-14T20:56:26.6947500Z         is_python_module: If ``True`` (default), imports the produced shared
2025-08-14T20:56:26.6947620Z             library as a Python module. If ``False``, behavior depends on
2025-08-14T20:56:26.6947740Z             ``is_standalone``.
2025-08-14T20:56:26.6947860Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-08-14T20:56:26.6947980Z             into the process as a plain dynamic library. If ``True``, build a
2025-08-14T20:56:26.6948040Z             standalone executable.
2025-08-14T20:56:26.6948080Z     
2025-08-14T20:56:26.6948120Z     Returns:
2025-08-14T20:56:26.6948180Z         If ``is_python_module`` is ``True``:
2025-08-14T20:56:26.6948290Z             Returns the loaded PyTorch extension as a Python module.
2025-08-14T20:56:26.6948330Z     
2025-08-14T20:56:26.6948450Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-08-14T20:56:26.6948570Z             Returns nothing. (The shared library is loaded into the process as
2025-08-14T20:56:26.6948630Z             a side effect.)
2025-08-14T20:56:26.6948690Z     
2025-08-14T20:56:26.6948750Z         If ``is_standalone`` is ``True``.
2025-08-14T20:56:26.6948870Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-08-14T20:56:26.6948980Z             added to the PATH environment variable as a side effect.)
2025-08-14T20:56:26.6949020Z     
2025-08-14T20:56:26.6949060Z     Example:
2025-08-14T20:56:26.6949110Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6949190Z         >>> from torch.utils.cpp_extension import load
2025-08-14T20:56:26.6949240Z         >>> module = load(
2025-08-14T20:56:26.6949290Z         ...     name='extension',
2025-08-14T20:56:26.6949390Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-08-14T20:56:26.6949450Z         ...     extra_cflags=['-O2'],
2025-08-14T20:56:26.6949500Z         ...     verbose=True)
2025-08-14T20:56:26.6949540Z     
2025-08-14T20:56:26.6949690Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6949730Z     
2025-08-14T20:56:26.6949780Z       warnings.warn(msg)
2025-08-14T20:56:26.6949820Z     
2025-08-14T20:56:26.6949920Z --- Parse Warning: 117 / 146 ---
2025-08-14T20:56:26.6950570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1890.
2025-08-14T20:56:26.6950720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6950760Z     
2025-08-14T20:56:26.6950890Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-08-14T20:56:26.6950930Z     
2025-08-14T20:56:26.6951060Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-08-14T20:56:26.6951230Z     strings rather than filenames. These strings are stored to files in the
2025-08-14T20:56:26.6951370Z     build directory, after which the behavior of :func:`load_inline` is
2025-08-14T20:56:26.6951420Z     identical to :func:`load`.
2025-08-14T20:56:26.6951460Z     
2025-08-14T20:56:26.6951500Z     See `the
2025-08-14T20:56:26.6951690Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-08-14T20:56:26.6951760Z     for good examples of using this function.
2025-08-14T20:56:26.6951800Z     
2025-08-14T20:56:26.6951940Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-08-14T20:56:26.6952080Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-08-14T20:56:26.6952230Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-08-14T20:56:26.6952340Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-08-14T20:56:26.6952390Z     <torch/extension.h>``
2025-08-14T20:56:26.6952430Z     
2025-08-14T20:56:26.6952570Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-08-14T20:56:26.6952760Z     automatically generated for each function specified. ``functions`` can
2025-08-14T20:56:26.6952890Z     either be a list of function names, or a dictionary mapping from function
2025-08-14T20:56:26.6953020Z     names to docstrings. If a list is given, the name of each function is used
2025-08-14T20:56:26.6953070Z     as its docstring.
2025-08-14T20:56:26.6953110Z     
2025-08-14T20:56:26.6953230Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-08-14T20:56:26.6953340Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-08-14T20:56:26.6953470Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-08-14T20:56:26.6953600Z     separately, but ultimately linked into a single library. Note that no
2025-08-14T20:56:26.6953730Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-08-14T20:56:26.6953860Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-08-14T20:56:26.6954010Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-08-14T20:56:26.6954070Z     include its name in ``functions``).
2025-08-14T20:56:26.6954120Z     
2025-08-14T20:56:26.6954240Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-08-14T20:56:26.6954370Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-08-14T20:56:26.6954490Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-08-14T20:56:26.6954620Z     linked into a single library. Note that no bindings are generated for
2025-08-14T20:56:26.6954740Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-08-14T20:56:26.6954870Z     create a C++ function that calls it, and either declare or define this
2025-08-14T20:56:26.6954980Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-08-14T20:56:26.6955030Z     in ``functions``).
2025-08-14T20:56:26.6955070Z     
2025-08-14T20:56:26.6955110Z     
2025-08-14T20:56:26.6955150Z     
2025-08-14T20:56:26.6955260Z     See :func:`load` for a description of arguments omitted below.
2025-08-14T20:56:26.6955300Z     
2025-08-14T20:56:26.6955340Z     Args:
2025-08-14T20:56:26.6955470Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-08-14T20:56:26.6955600Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-08-14T20:56:26.6955730Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-08-14T20:56:26.6955850Z         functions: A list of function names for which to generate function
2025-08-14T20:56:26.6955980Z             bindings. If a dictionary is given, it should map function names to
2025-08-14T20:56:26.6956090Z             docstrings (which are otherwise just the function names).
2025-08-14T20:56:26.6956260Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-08-14T20:56:26.6956360Z             the build. If set to ``None`` (default), this value is
2025-08-14T20:56:26.6956480Z             automatically determined based on whether ``cuda_sources`` is
2025-08-14T20:56:26.6956570Z             provided. Set it to ``True`` to force CUDA headers
2025-08-14T20:56:26.6956630Z             and libraries to be included.
2025-08-14T20:56:26.6956760Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-08-14T20:56:26.6956860Z             the build. If set to ``None`` (default), this value is
2025-08-14T20:56:26.6956980Z             automatically determined based on whether ``sycl_sources`` is
2025-08-14T20:56:26.6957070Z             provided. Set it to ``True`` to force SYCL headers
2025-08-14T20:56:26.6957130Z             and libraries to be included.
2025-08-14T20:56:26.6957250Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-08-14T20:56:26.6957370Z             warning macros are handled by pytorch instead of pybind. To do
2025-08-14T20:56:26.6957500Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-08-14T20:56:26.6957670Z             function. This redirection might cause issues in obscure cases
2025-08-14T20:56:26.6957780Z             of cpp. This flag should be set to ``False`` when this redirect
2025-08-14T20:56:26.6957830Z             causes issues.
2025-08-14T20:56:26.6957980Z         no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-08-14T20:56:26.6958120Z             ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-08-14T20:56:26.6958220Z             Use this option to improve cold start times when you
2025-08-14T20:56:26.6958370Z             already include the necessary headers in your source code. Default: ``False``.
2025-08-14T20:56:26.6958410Z     
2025-08-14T20:56:26.6958450Z     Example:
2025-08-14T20:56:26.6958540Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-08-14T20:56:26.6958670Z         >>> from torch.utils.cpp_extension import load_inline
2025-08-14T20:56:26.6958720Z         >>> source = """
2025-08-14T20:56:26.6958800Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-08-14T20:56:26.6958860Z           return x.sin() + y.sin();
2025-08-14T20:56:26.6958900Z         }
2025-08-14T20:56:26.6958940Z         """
2025-08-14T20:56:26.6959030Z         >>> module = load_inline(name='inline_extension',
2025-08-14T20:56:26.6959100Z         ...                      cpp_sources=[source],
2025-08-14T20:56:26.6959170Z         ...                      functions=['sin_add'])
2025-08-14T20:56:26.6959210Z     
2025-08-14T20:56:26.6959250Z     .. note::
2025-08-14T20:56:26.6959390Z         Since load_inline will just-in-time compile the source code, please ensure
2025-08-14T20:56:26.6959530Z         that you have the right toolchains installed in the runtime. For example,
2025-08-14T20:56:26.6959660Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-08-14T20:56:26.6959810Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-08-14T20:56:26.6959960Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-08-14T20:56:26.6960100Z         are not included when you install torch and must be additionally installed.
2025-08-14T20:56:26.6960140Z     
2025-08-14T20:56:26.6960290Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-08-14T20:56:26.6960420Z         the extension. This may use up too many resources on some systems. One
2025-08-14T20:56:26.6960550Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-08-14T20:56:26.6960620Z         variable to a non-negative number.
2025-08-14T20:56:26.6960660Z     
2025-08-14T20:56:26.6960810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6960890Z     
2025-08-14T20:56:26.6960940Z       warnings.warn(msg)
2025-08-14T20:56:26.6960980Z     
2025-08-14T20:56:26.6961080Z --- Parse Warning: 118 / 146 ---
2025-08-14T20:56:26.6961770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-08-14T20:56:26.6961920Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6962040Z     Sampler that restricts data loading to a subset of the dataset.
2025-08-14T20:56:26.6962080Z     
2025-08-14T20:56:26.6962160Z         It is especially useful in conjunction with
2025-08-14T20:56:26.6962310Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-08-14T20:56:26.6962460Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-08-14T20:56:26.6962600Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-08-14T20:56:26.6962740Z         original dataset that is exclusive to it.
2025-08-14T20:56:26.6962790Z     
2025-08-14T20:56:26.6962830Z         .. note::
2025-08-14T20:56:26.6962970Z             Dataset is assumed to be of constant size and that any instance of it always
2025-08-14T20:56:26.6963050Z             returns the same elements in the same order.
2025-08-14T20:56:26.6963090Z     
2025-08-14T20:56:26.6963130Z         Args:
2025-08-14T20:56:26.6963200Z             dataset: Dataset used for sampling.
2025-08-14T20:56:26.6963330Z             num_replicas (int, optional): Number of processes participating in
2025-08-14T20:56:26.6963480Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-08-14T20:56:26.6963540Z                 current distributed group.
2025-08-14T20:56:26.6963690Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-08-14T20:56:26.6963830Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-08-14T20:56:26.6963880Z                 group.
2025-08-14T20:56:26.6964010Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-08-14T20:56:26.6964060Z                 indices.
2025-08-14T20:56:26.6964170Z             seed (int, optional): random seed used to shuffle the sampler if
2025-08-14T20:56:26.6964290Z                 :attr:`shuffle=True`. This number should be identical across all
2025-08-14T20:56:26.6964390Z                 processes in the distributed group. Default: ``0``.
2025-08-14T20:56:26.6964520Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-08-14T20:56:26.6964640Z                 tail of the data to make it evenly divisible across the number of
2025-08-14T20:56:26.6964760Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-08-14T20:56:26.6964890Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-08-14T20:56:26.6964930Z     
2025-08-14T20:56:26.6964970Z         .. warning::
2025-08-14T20:56:26.6965090Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-08-14T20:56:26.6965240Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-08-14T20:56:26.6965390Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-08-14T20:56:26.6965460Z             the same ordering will be always used.
2025-08-14T20:56:26.6965500Z     
2025-08-14T20:56:26.6965550Z         Example::
2025-08-14T20:56:26.6965580Z     
2025-08-14T20:56:26.6965640Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6965770Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-08-14T20:56:26.6965880Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-08-14T20:56:26.6966020Z             ...                     sampler=sampler)
2025-08-14T20:56:26.6966110Z             >>> for epoch in range(start_epoch, n_epochs):
2025-08-14T20:56:26.6966170Z             ...     if is_distributed:
2025-08-14T20:56:26.6966230Z             ...         sampler.set_epoch(epoch)
2025-08-14T20:56:26.6966290Z             ...     train(loader)
2025-08-14T20:56:26.6966330Z         
2025-08-14T20:56:26.6966480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6966520Z     
2025-08-14T20:56:26.6966570Z       warnings.warn(msg)
2025-08-14T20:56:26.6966610Z     
2025-08-14T20:56:26.6966710Z --- Parse Warning: 119 / 146 ---
2025-08-14T20:56:26.6967390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-08-14T20:56:26.6967540Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6967760Z     Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-08-14T20:56:26.6967800Z     
2025-08-14T20:56:26.6967840Z         Args:
2025-08-14T20:56:26.6967990Z             weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-08-14T20:56:26.6968070Z             num_samples (int): number of samples to draw
2025-08-14T20:56:26.6968200Z             replacement (bool): if ``True``, samples are drawn with replacement.
2025-08-14T20:56:26.6968320Z                 If not, they are drawn without replacement, which means that when a
2025-08-14T20:56:26.6968450Z                 sample index is drawn for a row, it cannot be drawn again for that row.
2025-08-14T20:56:26.6968550Z             generator (Generator): Generator used in sampling.
2025-08-14T20:56:26.6968590Z     
2025-08-14T20:56:26.6968640Z         Example:
2025-08-14T20:56:26.6968750Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.6968800Z             >>> list(
2025-08-14T20:56:26.6968860Z             ...     WeightedRandomSampler(
2025-08-14T20:56:26.6968950Z             ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-08-14T20:56:26.6968990Z             ...     )
2025-08-14T20:56:26.6969040Z             ... )
2025-08-14T20:56:26.6969080Z             [4, 4, 1, 4, 5]
2025-08-14T20:56:26.6969120Z             >>> list(
2025-08-14T20:56:26.6969190Z             ...     WeightedRandomSampler(
2025-08-14T20:56:26.6969280Z             ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-08-14T20:56:26.6969320Z             ...     )
2025-08-14T20:56:26.6969360Z             ... )
2025-08-14T20:56:26.6969410Z             [0, 1, 4, 3, 2]
2025-08-14T20:56:26.6969450Z         
2025-08-14T20:56:26.6969600Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6969640Z     
2025-08-14T20:56:26.6969690Z       warnings.warn(msg)
2025-08-14T20:56:26.6969730Z     
2025-08-14T20:56:26.6969830Z --- Parse Warning: 120 / 146 ---
2025-08-14T20:56:26.6970480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-08-14T20:56:26.6970630Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6970730Z     Wraps another sampler to yield a mini-batch of indices.
2025-08-14T20:56:26.6970770Z     
2025-08-14T20:56:26.6970810Z         Args:
2025-08-14T20:56:26.6970950Z             sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-08-14T20:56:26.6971020Z             batch_size (int): Size of mini-batch.
2025-08-14T20:56:26.6971180Z             drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-08-14T20:56:26.6971260Z                 its size would be less than ``batch_size``
2025-08-14T20:56:26.6971300Z     
2025-08-14T20:56:26.6971350Z         Example:
2025-08-14T20:56:26.6971390Z             >>> list(
2025-08-14T20:56:26.6971440Z             ...     BatchSampler(
2025-08-14T20:56:26.6971570Z             ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-08-14T20:56:26.6971610Z             ...     )
2025-08-14T20:56:26.6971650Z             ... )
2025-08-14T20:56:26.6971710Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-08-14T20:56:26.6971750Z             >>> list(
2025-08-14T20:56:26.6971910Z             ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-08-14T20:56:26.6971950Z             ... )
2025-08-14T20:56:26.6972010Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-08-14T20:56:26.6972050Z         
2025-08-14T20:56:26.6972200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6972290Z     
2025-08-14T20:56:26.6972340Z       warnings.warn(msg)
2025-08-14T20:56:26.6972380Z     
2025-08-14T20:56:26.6972480Z --- Parse Warning: 121 / 146 ---
2025-08-14T20:56:26.6973150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-08-14T20:56:26.6973300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6973350Z     
2025-08-14T20:56:26.6973400Z     Iterable-style DataPipe.
2025-08-14T20:56:26.6973440Z     
2025-08-14T20:56:26.6973590Z     All DataPipes that represent an iterable of data samples should subclass this.
2025-08-14T20:56:26.6973740Z     This style of DataPipes is particularly useful when data come from a stream, or
2025-08-14T20:56:26.6973980Z     when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-08-14T20:56:26.6977790Z     elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-08-14T20:56:26.6977850Z     
2025-08-14T20:56:26.6977990Z     All subclasses should overwrite :meth:`__iter__`, which would return an
2025-08-14T20:56:26.6978200Z     iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-08-14T20:56:26.6978420Z     method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-08-14T20:56:26.6978590Z     override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-08-14T20:56:26.6978710Z     and various state variables within the custom ``IterDataPipe``.
2025-08-14T20:56:26.6978750Z     
2025-08-14T20:56:26.6978800Z     Note:
2025-08-14T20:56:26.6978930Z         Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-08-14T20:56:26.6979130Z         and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-08-14T20:56:26.6979350Z         some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-08-14T20:56:26.6979510Z         The code example below presents details on how this constraint looks in practice.
2025-08-14T20:56:26.6979720Z         If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-08-14T20:56:26.6979760Z     
2025-08-14T20:56:26.6979930Z     These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-08-14T20:56:26.6980140Z     functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-08-14T20:56:26.6980430Z     You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-08-14T20:56:26.6980490Z     operations in succession.
2025-08-14T20:56:26.6980530Z     
2025-08-14T20:56:26.6980610Z     .. _GitHub IterDataPipe Single Iterator Issue:
2025-08-14T20:56:26.6980690Z         https://github.com/pytorch/data/issues/45
2025-08-14T20:56:26.6980730Z     
2025-08-14T20:56:26.6980770Z     Note:
2025-08-14T20:56:26.6980910Z         When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-08-14T20:56:26.6981070Z         item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-08-14T20:56:26.6981200Z         iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-08-14T20:56:26.6981340Z         different copy of the DataPipe object, so it is often desired to configure
2025-08-14T20:56:26.6981480Z         each copy independently to avoid having duplicate data returned from the
2025-08-14T20:56:26.6981630Z         workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-08-14T20:56:26.6981780Z         process, returns information about the worker. It can be used in either the
2025-08-14T20:56:26.6981990Z         dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-08-14T20:56:26.6982110Z         :attr:`worker_init_fn` option to modify each copy's behavior.
2025-08-14T20:56:26.6982140Z     
2025-08-14T20:56:26.6982190Z     Examples:
2025-08-14T20:56:26.6982240Z         General Usage:
2025-08-14T20:56:26.6982290Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6982420Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-14T20:56:26.6982490Z             >>> dp = IterableWrapper(range(10))
2025-08-14T20:56:26.6982600Z             >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-08-14T20:56:26.6982650Z             >>> map_dp_2 = dp.map(
2025-08-14T20:56:26.6982710Z             ...     lambda x: x + 1
2025-08-14T20:56:26.6982790Z             ... )  # Using functional form (recommended)
2025-08-14T20:56:26.6982880Z             >>> list(map_dp_1)
2025-08-14T20:56:26.6982940Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-14T20:56:26.6983000Z             >>> list(map_dp_2)
2025-08-14T20:56:26.6983050Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-08-14T20:56:26.6983140Z             >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-08-14T20:56:26.6983190Z             >>> list(filter_dp)
2025-08-14T20:56:26.6983250Z             [2, 4, 6, 8, 10]
2025-08-14T20:56:26.6983310Z         Single Iterator Constraint Example:
2025-08-14T20:56:26.6983430Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-08-14T20:56:26.6983510Z             >>> source_dp = IterableWrapper(range(10))
2025-08-14T20:56:26.6983570Z             >>> it1 = iter(source_dp)
2025-08-14T20:56:26.6983620Z             >>> list(it1)
2025-08-14T20:56:26.6983670Z             [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-08-14T20:56:26.6983730Z             >>> it1 = iter(source_dp)
2025-08-14T20:56:26.6983780Z             >>> it2 = iter(
2025-08-14T20:56:26.6983830Z             ...     source_dp
2025-08-14T20:56:26.6983920Z             ... )  # The creation of a new iterator invalidates `it1`
2025-08-14T20:56:26.6983970Z             >>> next(it2)
2025-08-14T20:56:26.6984010Z             0
2025-08-14T20:56:26.6984130Z             >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-08-14T20:56:26.6984170Z     
2025-08-14T20:56:26.6984320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6984360Z     
2025-08-14T20:56:26.6984410Z       warnings.warn(msg)
2025-08-14T20:56:26.6984450Z     
2025-08-14T20:56:26.6984580Z --- Parse Warning: 122 / 146 ---
2025-08-14T20:56:26.6985350Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-08-14T20:56:26.6985510Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6985550Z     
2025-08-14T20:56:26.6985770Z     Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-08-14T20:56:26.6985810Z     
2025-08-14T20:56:26.6985850Z     Args:
2025-08-14T20:56:26.6985940Z         datapipe: Iterable datapipe that provides pathnames
2025-08-14T20:56:26.6986050Z         mode: An optional string that specifies the mode in which
2025-08-14T20:56:26.6986180Z             the file is opened by ``open()``. It defaults to ``r``, other options are
2025-08-14T20:56:26.6986280Z             ``b`` for reading in binary mode and ``t`` for text mode.
2025-08-14T20:56:26.6986400Z         encoding: An optional string that specifies the encoding of the
2025-08-14T20:56:26.6986560Z             underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-08-14T20:56:26.6986700Z         length: Nominal length of the datapipe
2025-08-14T20:56:26.6986740Z     
2025-08-14T20:56:26.6986780Z     Note:
2025-08-14T20:56:26.6986940Z         The opened file handles will be closed by Python's GC periodically. Users can choose
2025-08-14T20:56:26.6987000Z         to close them explicitly.
2025-08-14T20:56:26.6987040Z     
2025-08-14T20:56:26.6987080Z     Example:
2025-08-14T20:56:26.6987140Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6987210Z         >>> from torchdata.datapipes.iter import (
2025-08-14T20:56:26.6987260Z         ...     FileLister,
2025-08-14T20:56:26.6987310Z         ...     FileOpener,
2025-08-14T20:56:26.6987360Z         ...     StreamReader,
2025-08-14T20:56:26.6987400Z         ... )
2025-08-14T20:56:26.6987530Z         >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-08-14T20:56:26.6987590Z         >>> dp = FileOpener(dp)
2025-08-14T20:56:26.6987670Z         >>> dp = StreamReader(dp)
2025-08-14T20:56:26.6987710Z         >>> list(dp)
2025-08-14T20:56:26.6987770Z         [('./abc.txt', 'abc')]
2025-08-14T20:56:26.6987810Z     
2025-08-14T20:56:26.6987950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6988000Z     
2025-08-14T20:56:26.6988050Z       warnings.warn(msg)
2025-08-14T20:56:26.6988090Z     
2025-08-14T20:56:26.6988190Z --- Parse Warning: 123 / 146 ---
2025-08-14T20:56:26.6988900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-08-14T20:56:26.6989060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6989100Z     
2025-08-14T20:56:26.6989340Z     Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-08-14T20:56:26.6989390Z     
2025-08-14T20:56:26.6989450Z     (functional name: ``groupby``).
2025-08-14T20:56:26.6989490Z     
2025-08-14T20:56:26.6989710Z     The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-08-14T20:56:26.6989890Z     will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-08-14T20:56:26.6990070Z     the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-08-14T20:56:26.6990260Z     than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-08-14T20:56:26.6990300Z     
2025-08-14T20:56:26.6990520Z     After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-08-14T20:56:26.6990780Z     will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-08-14T20:56:26.6990820Z     
2025-08-14T20:56:26.6990870Z     Args:
2025-08-14T20:56:26.6990950Z         datapipe: Iterable datapipe to be grouped
2025-08-14T20:56:26.6991110Z         group_key_fn: Function used to generate group key from the data of the source datapipe
2025-08-14T20:56:26.6991250Z         keep_key: Option to yield the matching key along with the items in a tuple,
2025-08-14T20:56:26.6991370Z             resulting in `(key, [items])` otherwise returning [items]
2025-08-14T20:56:26.6991460Z         buffer_size: The size of buffer for ungrouped data
2025-08-14T20:56:26.6991630Z         group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-08-14T20:56:26.6991820Z         guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-08-14T20:56:26.6992040Z         drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-08-14T20:56:26.6992090Z             when the buffer is full
2025-08-14T20:56:26.6992190Z     
2025-08-14T20:56:26.6992230Z     Example:
2025-08-14T20:56:26.6992280Z         >>> import os
2025-08-14T20:56:26.6992330Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.6992440Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:26.6992490Z         >>> def group_fn(file):
2025-08-14T20:56:26.6992580Z         ...     return os.path.basename(file).split(".")[0]
2025-08-14T20:56:26.6992650Z         >>> source_dp = IterableWrapper(
2025-08-14T20:56:26.6992750Z         ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-08-14T20:56:26.6992790Z         ... )
2025-08-14T20:56:26.6992880Z         >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-08-14T20:56:26.6992930Z         >>> list(dp0)
2025-08-14T20:56:26.6993030Z         [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-08-14T20:56:26.6993170Z         >>> # A group is yielded as soon as its size equals to `group_size`
2025-08-14T20:56:26.6993280Z         >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-08-14T20:56:26.6993330Z         >>> list(dp1)
2025-08-14T20:56:26.6993430Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-14T20:56:26.6993640Z         >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-08-14T20:56:26.6993690Z         >>> dp2 = source_dp.groupby(
2025-08-14T20:56:26.6993760Z         ...     group_key_fn=group_fn,
2025-08-14T20:56:26.6993810Z         ...     buffer_size=3,
2025-08-14T20:56:26.6993860Z         ...     group_size=3,
2025-08-14T20:56:26.6993920Z         ...     guaranteed_group_size=2,
2025-08-14T20:56:26.6993950Z         ... )
2025-08-14T20:56:26.6994000Z         >>> list(dp2)
2025-08-14T20:56:26.6994100Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-08-14T20:56:26.6994140Z     
2025-08-14T20:56:26.6994290Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6994340Z     
2025-08-14T20:56:26.6994390Z       warnings.warn(msg)
2025-08-14T20:56:26.6994430Z     
2025-08-14T20:56:26.6994530Z --- Parse Warning: 124 / 146 ---
2025-08-14T20:56:26.6995260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-08-14T20:56:26.6995420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6995460Z     
2025-08-14T20:56:26.6995720Z     Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-08-14T20:56:26.6995800Z     
2025-08-14T20:56:26.6995920Z     A list of the child DataPipes is returned from this operation.
2025-08-14T20:56:26.6995960Z     
2025-08-14T20:56:26.6996010Z     Args:
2025-08-14T20:56:26.6996080Z         datapipe: Iterable DataPipe being filtered
2025-08-14T20:56:26.6996210Z         num_instances: number of instances of the DataPipe to create
2025-08-14T20:56:26.6996420Z         classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-08-14T20:56:26.6996620Z         drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-08-14T20:56:26.6996800Z         buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-08-14T20:56:26.6996920Z             DataPipes while waiting for their values to be yielded.
2025-08-14T20:56:26.6997020Z             Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-08-14T20:56:26.6997060Z     
2025-08-14T20:56:26.6997100Z     Examples:
2025-08-14T20:56:26.6997190Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:26.6997350Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:26.6997400Z         >>> def odd_or_even(n):
2025-08-14T20:56:26.6997450Z         ...     return n % 2
2025-08-14T20:56:26.6997520Z         >>> source_dp = IterableWrapper(range(5))
2025-08-14T20:56:26.6997650Z         >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-08-14T20:56:26.6997700Z         >>> list(dp1)
2025-08-14T20:56:26.6997740Z         [0, 2, 4]
2025-08-14T20:56:26.6997790Z         >>> list(dp2)
2025-08-14T20:56:26.6997830Z         [1, 3]
2025-08-14T20:56:26.6997970Z         >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-08-14T20:56:26.6998030Z         >>> def odd_or_even_no_zero(n):
2025-08-14T20:56:26.6998100Z         ...     return n % 2 if n != 0 else None
2025-08-14T20:56:26.6998160Z         >>> dp1, dp2 = source_dp.demux(
2025-08-14T20:56:26.6998310Z         ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-08-14T20:56:26.6998360Z         ... )
2025-08-14T20:56:26.6998400Z         >>> list(dp1)
2025-08-14T20:56:26.6998440Z         [2, 4]
2025-08-14T20:56:26.6998480Z         >>> list(dp2)
2025-08-14T20:56:26.6998520Z         [1, 3]
2025-08-14T20:56:26.6998560Z     
2025-08-14T20:56:26.6998710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.6998760Z     
2025-08-14T20:56:26.6998800Z       warnings.warn(msg)
2025-08-14T20:56:26.6998840Z     
2025-08-14T20:56:26.6998940Z --- Parse Warning: 125 / 146 ---
2025-08-14T20:56:26.6999680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-08-14T20:56:26.6999830Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.6999870Z     
2025-08-14T20:56:26.7000060Z     Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-08-14T20:56:26.7000100Z     
2025-08-14T20:56:26.7000300Z     As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-08-14T20:56:26.7000420Z     and so on. It ends when the shortest input DataPipe is exhausted.
2025-08-14T20:56:26.7000460Z     
2025-08-14T20:56:26.7000500Z     Args:
2025-08-14T20:56:26.7000730Z         datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-08-14T20:56:26.7000770Z     
2025-08-14T20:56:26.7000820Z     Example:
2025-08-14T20:56:26.7000890Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:26.7001050Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:26.7001110Z         >>> dp1, dp2, dp3 = (
2025-08-14T20:56:26.7001180Z         ...     IterableWrapper(range(3)),
2025-08-14T20:56:26.7001250Z         ...     IterableWrapper(range(10, 15)),
2025-08-14T20:56:26.7001310Z         ...     IterableWrapper(range(20, 25)),
2025-08-14T20:56:26.7001360Z         ... )
2025-08-14T20:56:26.7001420Z         >>> list(dp1.mux(dp2, dp3))
2025-08-14T20:56:26.7001470Z         [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-08-14T20:56:26.7001510Z     
2025-08-14T20:56:26.7001650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7001690Z     
2025-08-14T20:56:26.7001750Z       warnings.warn(msg)
2025-08-14T20:56:26.7001780Z     
2025-08-14T20:56:26.7001890Z --- Parse Warning: 126 / 146 ---
2025-08-14T20:56:26.7002600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-08-14T20:56:26.7002820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7002860Z     
2025-08-14T20:56:26.7003040Z     Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-08-14T20:56:26.7003080Z     
2025-08-14T20:56:26.7003220Z     The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-08-14T20:56:26.7003260Z     
2025-08-14T20:56:26.7003300Z     Args:
2025-08-14T20:56:26.7003390Z         *datapipes: Iterable DataPipes being aggregated
2025-08-14T20:56:26.7003430Z     
2025-08-14T20:56:26.7003470Z     Example:
2025-08-14T20:56:26.7003550Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-08-14T20:56:26.7003660Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-08-14T20:56:26.7003710Z         >>> dp1, dp2, dp3 = (
2025-08-14T20:56:26.7003820Z         ...     IterableWrapper(range(5)),
2025-08-14T20:56:26.7003890Z         ...     IterableWrapper(range(10, 15)),
2025-08-14T20:56:26.7003960Z         ...     IterableWrapper(range(20, 25)),
2025-08-14T20:56:26.7003990Z         ... )
2025-08-14T20:56:26.7004050Z         >>> list(dp1.zip(dp2, dp3))
2025-08-14T20:56:26.7004140Z         [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-08-14T20:56:26.7004180Z     
2025-08-14T20:56:26.7004330Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7004370Z     
2025-08-14T20:56:26.7004420Z       warnings.warn(msg)
2025-08-14T20:56:26.7004450Z     
2025-08-14T20:56:26.7004550Z --- Parse Warning: 127 / 146 ---
2025-08-14T20:56:26.7005250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-08-14T20:56:26.7005420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7005500Z     Asserts that ``actual`` and ``expected`` are close.
2025-08-14T20:56:26.7005550Z     
2025-08-14T20:56:26.7005760Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-08-14T20:56:26.7005800Z     
2025-08-14T20:56:26.7005850Z         .. math::
2025-08-14T20:56:26.7005890Z     
2025-08-14T20:56:26.7006110Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-08-14T20:56:26.7006150Z     
2025-08-14T20:56:26.7006350Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-08-14T20:56:26.7006530Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-08-14T20:56:26.7006570Z     
2025-08-14T20:56:26.7006710Z         In addition, they are only considered close if they have the same
2025-08-14T20:56:26.7006740Z     
2025-08-14T20:56:26.7006860Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-08-14T20:56:26.7006940Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-08-14T20:56:26.7007030Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-08-14T20:56:26.7007100Z         - stride (if ``check_stride`` is ``True``).
2025-08-14T20:56:26.7007150Z     
2025-08-14T20:56:26.7007330Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-08-14T20:56:26.7007360Z     
2025-08-14T20:56:26.7007580Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-08-14T20:56:26.7007800Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-08-14T20:56:26.7007940Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-08-14T20:56:26.7008240Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-08-14T20:56:26.7008280Z     
2025-08-14T20:56:26.7008450Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-08-14T20:56:26.7008660Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-08-14T20:56:26.7008710Z         definition above.
2025-08-14T20:56:26.7008750Z     
2025-08-14T20:56:26.7008930Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-08-14T20:56:26.7009160Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-08-14T20:56:26.7009380Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-08-14T20:56:26.7009630Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-08-14T20:56:26.7009760Z         their elements are considered close according to the above definition.
2025-08-14T20:56:26.7009800Z     
2025-08-14T20:56:26.7009850Z         .. note::
2025-08-14T20:56:26.7009890Z     
2025-08-14T20:56:26.7010080Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-08-14T20:56:26.7010280Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-08-14T20:56:26.7010440Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-08-14T20:56:26.7010480Z     
2025-08-14T20:56:26.7010520Z         Args:
2025-08-14T20:56:26.7010590Z             actual (Any): Actual input.
2025-08-14T20:56:26.7010660Z             expected (Any): Expected input.
2025-08-14T20:56:26.7010870Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-08-14T20:56:26.7010970Z                 are allowed. Otherwise type equality is required.
2025-08-14T20:56:26.7011180Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-08-14T20:56:26.7011350Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-14T20:56:26.7011560Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-08-14T20:56:26.7011720Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-08-14T20:56:26.7011940Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-08-14T20:56:26.7012120Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-08-14T20:56:26.7012280Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-08-14T20:56:26.7012420Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-08-14T20:56:26.7012620Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-08-14T20:56:26.7012830Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-08-14T20:56:26.7012930Z                 :func:`torch.promote_types`) before being compared.
2025-08-14T20:56:26.7013140Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-08-14T20:56:26.7013330Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-08-14T20:56:26.7013520Z                 compared.
2025-08-14T20:56:26.7013740Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-08-14T20:56:26.7013940Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-08-14T20:56:26.7014150Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-08-14T20:56:26.7014220Z                 should return the new message.
2025-08-14T20:56:26.7014260Z     
2025-08-14T20:56:26.7014300Z         Raises:
2025-08-14T20:56:26.7014440Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-08-14T20:56:26.7014540Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-08-14T20:56:26.7014730Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-08-14T20:56:26.7014970Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-08-14T20:56:26.7015030Z                 different types.
2025-08-14T20:56:26.7015240Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-08-14T20:56:26.7015450Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-08-14T20:56:26.7015640Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-08-14T20:56:26.7015820Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-08-14T20:56:26.7015890Z                 :attr:`~torch.Tensor.layout`.
2025-08-14T20:56:26.7016020Z             AssertionError: If only one of corresponding tensors is quantized.
2025-08-14T20:56:26.7016250Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-08-14T20:56:26.7016430Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-08-14T20:56:26.7016490Z                 :attr:`~torch.Tensor.device`.
2025-08-14T20:56:26.7016690Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-08-14T20:56:26.7016890Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-08-14T20:56:26.7017110Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-08-14T20:56:26.7017150Z     
2025-08-14T20:56:26.7017360Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-08-14T20:56:26.7017490Z         ``dtype``'s, the maximum of both tolerances is used.
2025-08-14T20:56:26.7017540Z     
2025-08-14T20:56:26.7017630Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7017710Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-08-14T20:56:26.7017770Z         +===========================+============+==========+
2025-08-14T20:56:26.7017870Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-08-14T20:56:26.7017940Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018030Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-08-14T20:56:26.7018110Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018190Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7018270Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018350Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-08-14T20:56:26.7018430Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018510Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-08-14T20:56:26.7018650Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018730Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7018810Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7018890Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-08-14T20:56:26.7018970Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019050Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7019130Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019210Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7019290Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019370Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7019470Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019550Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7019630Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019710Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-08-14T20:56:26.7019790Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019860Z         | other                     | ``0.0``    | ``0.0``  |
2025-08-14T20:56:26.7019930Z         +---------------------------+------------+----------+
2025-08-14T20:56:26.7019970Z     
2025-08-14T20:56:26.7020020Z         .. note::
2025-08-14T20:56:26.7020060Z     
2025-08-14T20:56:26.7020280Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-08-14T20:56:26.7020490Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-08-14T20:56:26.7020650Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-08-14T20:56:26.7020700Z     
2025-08-14T20:56:26.7020750Z             >>> import functools
2025-08-14T20:56:26.7020910Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-08-14T20:56:26.7020970Z             >>> assert_equal(1e-9, 1e-10)
2025-08-14T20:56:26.7021040Z             Traceback (most recent call last):
2025-08-14T20:56:26.7021080Z             ...
2025-08-14T20:56:26.7021160Z             AssertionError: Scalars are not equal!
2025-08-14T20:56:26.7021200Z             <BLANKLINE>
2025-08-14T20:56:26.7021270Z             Expected 1e-10 but got 1e-09.
2025-08-14T20:56:26.7021340Z             Absolute difference: 9.000000000000001e-10
2025-08-14T20:56:26.7021400Z             Relative difference: 9.0
2025-08-14T20:56:26.7021440Z     
2025-08-14T20:56:26.7021540Z         Examples:
2025-08-14T20:56:26.7021610Z             >>> # tensor to tensor comparison
2025-08-14T20:56:26.7021700Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-08-14T20:56:26.7021780Z             >>> actual = torch.acos(torch.cos(expected))
2025-08-14T20:56:26.7021870Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7021910Z     
2025-08-14T20:56:26.7021970Z             >>> # scalar to scalar comparison
2025-08-14T20:56:26.7022020Z             >>> import math
2025-08-14T20:56:26.7022080Z             >>> expected = math.sqrt(2.0)
2025-08-14T20:56:26.7022140Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-08-14T20:56:26.7022230Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7022270Z     
2025-08-14T20:56:26.7022340Z             >>> # numpy array to numpy array comparison
2025-08-14T20:56:26.7022400Z             >>> import numpy as np
2025-08-14T20:56:26.7022470Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-08-14T20:56:26.7022550Z             >>> actual = np.arccos(np.cos(expected))
2025-08-14T20:56:26.7022690Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7022730Z     
2025-08-14T20:56:26.7022810Z             >>> # sequence to sequence comparison
2025-08-14T20:56:26.7022860Z             >>> import numpy as np
2025-08-14T20:56:26.7023010Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-08-14T20:56:26.7023090Z             >>> # length and their elements have to match.
2025-08-14T20:56:26.7023190Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-08-14T20:56:26.7023250Z             >>> actual = tuple(expected)
2025-08-14T20:56:26.7023330Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7023370Z     
2025-08-14T20:56:26.7023440Z             >>> # mapping to mapping comparison
2025-08-14T20:56:26.7023520Z             >>> from collections import OrderedDict
2025-08-14T20:56:26.7023610Z             >>> import numpy as np
2025-08-14T20:56:26.7023670Z             >>> foo = torch.tensor(1.0)
2025-08-14T20:56:26.7023720Z             >>> bar = 2.0
2025-08-14T20:56:26.7023780Z             >>> baz = np.array(3.0)
2025-08-14T20:56:26.7023930Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-08-14T20:56:26.7024060Z             >>> # have to have the same set of keys and their elements have to match.
2025-08-14T20:56:26.7024180Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-08-14T20:56:26.7024270Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-08-14T20:56:26.7024360Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7024400Z     
2025-08-14T20:56:26.7024470Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-14T20:56:26.7024540Z             >>> actual = expected.clone()
2025-08-14T20:56:26.7024670Z             >>> # By default, directly related instances can be compared
2025-08-14T20:56:26.7024800Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-08-14T20:56:26.7024930Z             >>> # This check can be made more strict with allow_subclasses=False
2025-08-14T20:56:26.7024990Z             >>> torch.testing.assert_close(
2025-08-14T20:56:26.7025110Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-08-14T20:56:26.7025150Z             ... )
2025-08-14T20:56:26.7025220Z             Traceback (most recent call last):
2025-08-14T20:56:26.7025260Z             ...
2025-08-14T20:56:26.7025390Z             TypeError: No comparison pair was able to handle inputs of type
2025-08-14T20:56:26.7025520Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-08-14T20:56:26.7025660Z             >>> # If the inputs are not directly related, they are never considered close
2025-08-14T20:56:26.7025810Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-08-14T20:56:26.7025890Z             Traceback (most recent call last):
2025-08-14T20:56:26.7025930Z             ...
2025-08-14T20:56:26.7026100Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-08-14T20:56:26.7026160Z             and <class 'torch.Tensor'>.
2025-08-14T20:56:26.7026320Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-08-14T20:56:26.7026400Z             >>> # their type if check_dtype=False.
2025-08-14T20:56:26.7026500Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-08-14T20:56:26.7026540Z     
2025-08-14T20:56:26.7026600Z             >>> # NaN != NaN by default.
2025-08-14T20:56:26.7026670Z             >>> expected = torch.tensor(float("Nan"))
2025-08-14T20:56:26.7026730Z             >>> actual = expected.clone()
2025-08-14T20:56:26.7026820Z             >>> torch.testing.assert_close(actual, expected)
2025-08-14T20:56:26.7026890Z             Traceback (most recent call last):
2025-08-14T20:56:26.7026930Z             ...
2025-08-14T20:56:26.7027080Z             AssertionError: Scalars are not close!
2025-08-14T20:56:26.7027120Z             <BLANKLINE>
2025-08-14T20:56:26.7027180Z             Expected nan but got nan.
2025-08-14T20:56:26.7027270Z             Absolute difference: nan (up to 1e-05 allowed)
2025-08-14T20:56:26.7027360Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-08-14T20:56:26.7027480Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-08-14T20:56:26.7027520Z     
2025-08-14T20:56:26.7027590Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-08-14T20:56:26.7027670Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-08-14T20:56:26.7027750Z             >>> # The default error message can be overwritten.
2025-08-14T20:56:26.7027820Z             >>> torch.testing.assert_close(
2025-08-14T20:56:26.7027930Z             ...     actual, expected, msg="Argh, the tensors are not close!"
2025-08-14T20:56:26.7028020Z             ... )
2025-08-14T20:56:26.7028090Z             Traceback (most recent call last):
2025-08-14T20:56:26.7028130Z             ...
2025-08-14T20:56:26.7028220Z             AssertionError: Argh, the tensors are not close!
2025-08-14T20:56:26.7028360Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-08-14T20:56:26.7028410Z             >>> # extra information
2025-08-14T20:56:26.7028480Z             >>> torch.testing.assert_close(
2025-08-14T20:56:26.7028600Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-08-14T20:56:26.7028640Z             ... )
2025-08-14T20:56:26.7028710Z             Traceback (most recent call last):
2025-08-14T20:56:26.7028750Z             ...
2025-08-14T20:56:26.7028810Z             AssertionError: Header
2025-08-14T20:56:26.7028860Z             <BLANKLINE>
2025-08-14T20:56:26.7028920Z             Tensor-likes are not close!
2025-08-14T20:56:26.7028970Z             <BLANKLINE>
2025-08-14T20:56:26.7029030Z             Mismatched elements: 2 / 3 (66.7%)
2025-08-14T20:56:26.7029170Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-08-14T20:56:26.7029310Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-08-14T20:56:26.7029350Z             <BLANKLINE>
2025-08-14T20:56:26.7029400Z             Footer
2025-08-14T20:56:26.7029440Z         
2025-08-14T20:56:26.7029590Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7029630Z     
2025-08-14T20:56:26.7029680Z       warnings.warn(msg)
2025-08-14T20:56:26.7029720Z     
2025-08-14T20:56:26.7029830Z --- Parse Warning: 128 / 146 ---
2025-08-14T20:56:26.7030540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-08-14T20:56:26.7030700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7030850Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-08-14T20:56:26.7030890Z     
2025-08-14T20:56:26.7031020Z         This is a more structured way of using triton kernels with PyTorch.
2025-08-14T20:56:26.7031170Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-08-14T20:56:26.7031320Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-08-14T20:56:26.7031370Z         that is simpler;
2025-08-14T20:56:26.7031530Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-08-14T20:56:26.7031660Z         want to create an operator that behaves like PyTorch built-in operators.
2025-08-14T20:56:26.7031800Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-08-14T20:56:26.7031920Z         behavior of the triton kernel when passed a tensor subclass or under
2025-08-14T20:56:26.7032040Z         a TorchDispatchMode.
2025-08-14T20:56:26.7032080Z     
2025-08-14T20:56:26.7032230Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-08-14T20:56:26.7032280Z         when the implementation
2025-08-14T20:56:26.7032420Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-08-14T20:56:26.7032520Z         custom operators as opaque (:func:`torch.compile` and
2025-08-14T20:56:26.7032660Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-08-14T20:56:26.7032790Z         makes the implementation visible to these subsystems, allowing them
2025-08-14T20:56:26.7032860Z         to optimize the triton kernel(s).
2025-08-14T20:56:26.7032900Z     
2025-08-14T20:56:26.7036890Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-08-14T20:56:26.7037130Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-08-14T20:56:26.7037250Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-08-14T20:56:26.7037290Z     
2025-08-14T20:56:26.7037330Z         Args:
2025-08-14T20:56:26.7037470Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-08-14T20:56:26.7037600Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-08-14T20:56:26.7037710Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-08-14T20:56:26.7037850Z                 To avoid name collisions, please use your project name as the namespace;
2025-08-14T20:56:26.7037980Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-08-14T20:56:26.7038140Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-08-14T20:56:26.7038290Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-08-14T20:56:26.7038450Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-08-14T20:56:26.7038560Z             schema (None | str): A schema string for the operator. If None
2025-08-14T20:56:26.7038690Z                 (recommended) we'll infer a schema for the operator from its type
2025-08-14T20:56:26.7038810Z                 annotations. We recommend letting us infer a schema unless you
2025-08-14T20:56:26.7038880Z                 have a specific reason not to.
2025-08-14T20:56:26.7038980Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-08-14T20:56:26.7039020Z     
2025-08-14T20:56:26.7039060Z         Example::
2025-08-14T20:56:26.7039100Z     
2025-08-14T20:56:26.7039190Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-08-14T20:56:26.7039240Z             >>> import torch
2025-08-14T20:56:26.7039390Z             >>> from torch.library import triton_op, wrap_triton
2025-08-14T20:56:26.7039430Z             >>>
2025-08-14T20:56:26.7039490Z             >>> import triton
2025-08-14T20:56:26.7039560Z             >>> from triton import language as tl
2025-08-14T20:56:26.7039600Z             >>>
2025-08-14T20:56:26.7039650Z             >>> @triton.jit
2025-08-14T20:56:26.7039700Z             >>> def add_kernel(
2025-08-14T20:56:26.7039750Z             >>>     in_ptr0,
2025-08-14T20:56:26.7039790Z             >>>     in_ptr1,
2025-08-14T20:56:26.7039840Z             >>>     out_ptr,
2025-08-14T20:56:26.7039890Z             >>>     n_elements,
2025-08-14T20:56:26.7039950Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-14T20:56:26.7040000Z             >>> ):
2025-08-14T20:56:26.7040060Z             >>>     pid = tl.program_id(axis=0)
2025-08-14T20:56:26.7040130Z             >>>     block_start = pid * BLOCK_SIZE
2025-08-14T20:56:26.7040220Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-14T20:56:26.7040290Z             >>>     mask = offsets < n_elements
2025-08-14T20:56:26.7040370Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-14T20:56:26.7040510Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-14T20:56:26.7040570Z             >>>     output = x + y
2025-08-14T20:56:26.7040660Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-14T20:56:26.7040700Z             >>>
2025-08-14T20:56:26.7040780Z             >>> @triton_op("mylib::add", mutates_args={})
2025-08-14T20:56:26.7040890Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-08-14T20:56:26.7040960Z             >>>     output = torch.empty_like(x)
2025-08-14T20:56:26.7041030Z             >>>     n_elements = output.numel()
2025-08-14T20:56:26.7041070Z             >>>
2025-08-14T20:56:26.7041130Z             >>>     def grid(meta):
2025-08-14T20:56:26.7041240Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-14T20:56:26.7041300Z             >>>
2025-08-14T20:56:26.7041420Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-08-14T20:56:26.7041540Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-08-14T20:56:26.7041590Z             >>>     return output
2025-08-14T20:56:26.7041630Z             >>>
2025-08-14T20:56:26.7041680Z             >>> @torch.compile
2025-08-14T20:56:26.7041740Z             >>> def f(x, y):
2025-08-14T20:56:26.7041790Z             >>>     return add(x, y)
2025-08-14T20:56:26.7041830Z             >>>
2025-08-14T20:56:26.7041900Z             >>> x = torch.randn(3, device="cuda")
2025-08-14T20:56:26.7041970Z             >>> y = torch.randn(3, device="cuda")
2025-08-14T20:56:26.7042010Z             >>>
2025-08-14T20:56:26.7042050Z             >>> z = f(x, y)
2025-08-14T20:56:26.7042120Z             >>> assert torch.allclose(z, x + y)
2025-08-14T20:56:26.7042160Z     
2025-08-14T20:56:26.7042200Z         
2025-08-14T20:56:26.7042350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7042400Z     
2025-08-14T20:56:26.7042450Z       warnings.warn(msg)
2025-08-14T20:56:26.7042480Z     
2025-08-14T20:56:26.7042620Z --- Parse Warning: 129 / 146 ---
2025-08-14T20:56:26.7043250Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-08-14T20:56:26.7043410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7043520Z     Allows capture of a triton kernel into a graph via make_fx or
2025-08-14T20:56:26.7043580Z         non-strict ``torch.export``.
2025-08-14T20:56:26.7043620Z     
2025-08-14T20:56:26.7043730Z         These technologies perform Dispatcher-based tracing (via
2025-08-14T20:56:26.7043910Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-08-14T20:56:26.7044050Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-08-14T20:56:26.7044110Z         can actually be traced into a graph.
2025-08-14T20:56:26.7044150Z     
2025-08-14T20:56:26.7044280Z         Please use this API together with :func:`torch.library.triton_op`.
2025-08-14T20:56:26.7044320Z     
2025-08-14T20:56:26.7044360Z         Examples:
2025-08-14T20:56:26.7044400Z     
2025-08-14T20:56:26.7044450Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7044500Z             >>> import torch
2025-08-14T20:56:26.7044550Z             >>> import triton
2025-08-14T20:56:26.7044620Z             >>> from triton import language as tl
2025-08-14T20:56:26.7044740Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-08-14T20:56:26.7044810Z             >>> from torch.library import wrap_triton
2025-08-14T20:56:26.7044860Z             >>>
2025-08-14T20:56:26.7044910Z             >>> @triton.jit
2025-08-14T20:56:26.7044960Z             >>> def add_kernel(
2025-08-14T20:56:26.7045070Z             >>>     in_ptr0,
2025-08-14T20:56:26.7045120Z             >>>     in_ptr1,
2025-08-14T20:56:26.7045160Z             >>>     out_ptr,
2025-08-14T20:56:26.7045210Z             >>>     n_elements,
2025-08-14T20:56:26.7045280Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-08-14T20:56:26.7045320Z             >>> ):
2025-08-14T20:56:26.7045390Z             >>>     pid = tl.program_id(axis=0)
2025-08-14T20:56:26.7045450Z             >>>     block_start = pid * BLOCK_SIZE
2025-08-14T20:56:26.7045540Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-08-14T20:56:26.7045600Z             >>>     mask = offsets < n_elements
2025-08-14T20:56:26.7045690Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-08-14T20:56:26.7045760Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-08-14T20:56:26.7045820Z             >>>     output = x + y
2025-08-14T20:56:26.7045940Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-08-14T20:56:26.7045990Z             >>>
2025-08-14T20:56:26.7046040Z             >>> def add(x, y):
2025-08-14T20:56:26.7046110Z             >>>     output = torch.empty_like(x)
2025-08-14T20:56:26.7046170Z             >>>     n_elements = output.numel()
2025-08-14T20:56:26.7046210Z             >>>
2025-08-14T20:56:26.7046270Z             >>>     def grid_fn(meta):
2025-08-14T20:56:26.7046370Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-08-14T20:56:26.7046420Z             >>>
2025-08-14T20:56:26.7046530Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-08-14T20:56:26.7046590Z             >>>     return output
2025-08-14T20:56:26.7046630Z             >>>
2025-08-14T20:56:26.7046700Z             >>> x = torch.randn(3, device="cuda")
2025-08-14T20:56:26.7046770Z             >>> y = torch.randn(3, device="cuda")
2025-08-14T20:56:26.7046830Z             >>> gm = make_fx(add)(x, y)
2025-08-14T20:56:26.7046880Z             >>> print(gm.code)
2025-08-14T20:56:26.7046940Z             >>> # def forward(self, x_1, y_1):
2025-08-14T20:56:26.7047090Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-08-14T20:56:26.7047240Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-08-14T20:56:26.7047320Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-08-14T20:56:26.7047390Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-08-14T20:56:26.7047480Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-08-14T20:56:26.7047560Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-08-14T20:56:26.7047610Z             >>> #         })
2025-08-14T20:56:26.7047670Z             >>> #     return empty_like
2025-08-14T20:56:26.7047710Z     
2025-08-14T20:56:26.7047780Z         
2025-08-14T20:56:26.7047930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7047980Z     
2025-08-14T20:56:26.7048030Z       warnings.warn(msg)
2025-08-14T20:56:26.7048070Z     
2025-08-14T20:56:26.7048170Z --- Parse Warning: 130 / 146 ---
2025-08-14T20:56:26.7048860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-08-14T20:56:26.7049010Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7049050Z     
2025-08-14T20:56:26.7049190Z     Registers a fake kernel based on the given operator profiles. This fake
2025-08-14T20:56:26.7049330Z     kernel registration will override any existing fake kernel registrations.
2025-08-14T20:56:26.7049380Z     
2025-08-14T20:56:26.7049500Z     The input is a dictionary mapping operator names to a set of operator
2025-08-14T20:56:26.7049700Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-08-14T20:56:26.7049830Z     are a record of the input and output tensor metadata. Based on this
2025-08-14T20:56:26.7049970Z     information we will match a given input to the recorded profile, and return
2025-08-14T20:56:26.7050110Z     an output with the same metadata as in the recorded profile. If a profile
2025-08-14T20:56:26.7050190Z     doesn't exist then an exception will be thrown.
2025-08-14T20:56:26.7050230Z     
2025-08-14T20:56:26.7050360Z     The fake kernel generation is considered unsafe because it relies on the
2025-08-14T20:56:26.7050500Z     rigid, pre-defined operator profiles that do not account for potential
2025-08-14T20:56:26.7050640Z     variations in output behavior. Specifically, the generated kernels assume a
2025-08-14T20:56:26.7050800Z     fixed relationship between input and output ranks. However, in reality, it's
2025-08-14T20:56:26.7050980Z     possible that data-dependent operations may produce outputs of different
2025-08-14T20:56:26.7051110Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-08-14T20:56:26.7051240Z     are inflexible and unable to accommodate these nuances, making them
2025-08-14T20:56:26.7051290Z     potentially unsafe.
2025-08-14T20:56:26.7051330Z     
2025-08-14T20:56:26.7051370Z     Args:
2025-08-14T20:56:26.7051500Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-08-14T20:56:26.7051620Z             name to a set of operator profiles from which we will generate fake
2025-08-14T20:56:26.7051660Z             kernels.
2025-08-14T20:56:26.7051700Z     
2025-08-14T20:56:26.7051750Z     Examples:
2025-08-14T20:56:26.7051780Z     
2025-08-14T20:56:26.7051890Z         >>> # Example: Registering an op-profile from draft-export
2025-08-14T20:56:26.7051940Z         >>> import torch
2025-08-14T20:56:26.7052040Z         >>> from torch.export._draft_export import draft_export
2025-08-14T20:56:26.7052080Z         >>>
2025-08-14T20:56:26.7052200Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-08-14T20:56:26.7052270Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-08-14T20:56:26.7052320Z         >>>     return x + y
2025-08-14T20:56:26.7052360Z         >>>
2025-08-14T20:56:26.7052420Z         >>> class M(torch.nn.Module):
2025-08-14T20:56:26.7052480Z         >>>     def forward(self, a, b):
2025-08-14T20:56:26.7052570Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-08-14T20:56:26.7052620Z         >>>         return res
2025-08-14T20:56:26.7052660Z         >>>
2025-08-14T20:56:26.7052770Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-08-14T20:56:26.7052810Z         >>>
2025-08-14T20:56:26.7053050Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-08-14T20:56:26.7053130Z         >>>     decomp = ep.run_decompositions()
2025-08-14T20:56:26.7053170Z     
2025-08-14T20:56:26.7053210Z     
2025-08-14T20:56:26.7053360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7053400Z     
2025-08-14T20:56:26.7053440Z       warnings.warn(msg)
2025-08-14T20:56:26.7053480Z     
2025-08-14T20:56:26.7053580Z --- Parse Warning: 131 / 146 ---
2025-08-14T20:56:26.7054270Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-08-14T20:56:26.7054410Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-08-14T20:56:26.7054520Z     Register a FakeTensor implementation for this custom op.
2025-08-14T20:56:26.7054560Z     
2025-08-14T20:56:26.7054710Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-08-14T20:56:26.7054800Z     
2025-08-14T20:56:26.7054940Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-08-14T20:56:26.7055070Z             specifies the behavior of this operator on Tensors that carry no data.
2025-08-14T20:56:26.7055170Z             Given some input Tensors with certain properties
2025-08-14T20:56:26.7055320Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-08-14T20:56:26.7055380Z             the output Tensors are.
2025-08-14T20:56:26.7055420Z     
2025-08-14T20:56:26.7055540Z             Please see :func:`torch.library.register_fake` for more details.
2025-08-14T20:56:26.7055580Z     
2025-08-14T20:56:26.7055620Z             Args:
2025-08-14T20:56:26.7055730Z                 fn (Callable): The function to register as the FakeTensor
2025-08-14T20:56:26.7055780Z                     implementation.
2025-08-14T20:56:26.7055850Z     
2025-08-14T20:56:26.7055900Z             Examples:
2025-08-14T20:56:26.7055960Z                 >>> import torch
2025-08-14T20:56:26.7056010Z                 >>> import numpy as np
2025-08-14T20:56:26.7056080Z                 >>> from torch import Tensor
2025-08-14T20:56:26.7056120Z                 >>>
2025-08-14T20:56:26.7056240Z                 >>> # Example 1: an operator without data-dependent output shape
2025-08-14T20:56:26.7056350Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-08-14T20:56:26.7056470Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-08-14T20:56:26.7056540Z                 >>>     return (x @ weight.t()) + bias
2025-08-14T20:56:26.7056580Z                 >>>
2025-08-14T20:56:26.7056640Z                 >>> @linear.register_fake
2025-08-14T20:56:26.7056710Z                 >>> def _(x, weight, bias):
2025-08-14T20:56:26.7056770Z                 >>>     assert x.dim() == 2
2025-08-14T20:56:26.7056830Z                 >>>     assert weight.dim() == 2
2025-08-14T20:56:26.7056900Z                 >>>     assert bias.dim() == 1
2025-08-14T20:56:26.7056970Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-08-14T20:56:26.7057070Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-08-14T20:56:26.7057140Z                 >>>     assert x.device == weight.device
2025-08-14T20:56:26.7057230Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-08-14T20:56:26.7057270Z                 >>>
2025-08-14T20:56:26.7057340Z                 >>> x = torch.randn(2, 2)
2025-08-14T20:56:26.7057400Z                 >>> weight = torch.randn(2, 2)
2025-08-14T20:56:26.7057460Z                 >>> bias = torch.randn(2)
2025-08-14T20:56:26.7057540Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:26.7057660Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-08-14T20:56:26.7057780Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:26.7057930Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-08-14T20:56:26.7057980Z                 >>>
2025-08-14T20:56:26.7058090Z                 >>> # Example 2: an operator with data-dependent output shape
2025-08-14T20:56:26.7058200Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-08-14T20:56:26.7058270Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-08-14T20:56:26.7058340Z                 >>>     x_np = x.cpu().numpy()
2025-08-14T20:56:26.7058420Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-08-14T20:56:26.7058510Z                 >>>     return torch.tensor(res, device=x.device)
2025-08-14T20:56:26.7058550Z                 >>>
2025-08-14T20:56:26.7058610Z                 >>> @nonzero.register_fake
2025-08-14T20:56:26.7058660Z                 >>> def _(x):
2025-08-14T20:56:26.7058750Z                 >>> # Number of nonzero-elements is data-dependent.
2025-08-14T20:56:26.7058850Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-08-14T20:56:26.7059010Z                 >>> # we use the ctx object to construct a new symint that
2025-08-14T20:56:26.7059090Z                 >>> # represents the data-dependent size.
2025-08-14T20:56:26.7059160Z                 >>>     ctx = torch.library.get_ctx()
2025-08-14T20:56:26.7059230Z                 >>>     nnz = ctx.new_dynamic_size()
2025-08-14T20:56:26.7059290Z                 >>>     shape = [nnz, x.dim()]
2025-08-14T20:56:26.7059390Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-08-14T20:56:26.7059440Z                 >>>     return result
2025-08-14T20:56:26.7059480Z                 >>>
2025-08-14T20:56:26.7059550Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-08-14T20:56:26.7059640Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:26.7059730Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-08-14T20:56:26.7059840Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-08-14T20:56:26.7059920Z                 >>> assert torch.allclose(out, x.nonzero())
2025-08-14T20:56:26.7059960Z     
2025-08-14T20:56:26.7060000Z             
2025-08-14T20:56:26.7060310Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-08-14T20:56:26.7060350Z     
2025-08-14T20:56:26.7060390Z     _._ = None
2025-08-14T20:56:26.7060430Z     ^
2025-08-14T20:56:26.7060480Z       warnings.warn(msg)
2025-08-14T20:56:26.7060520Z     
2025-08-14T20:56:26.7060620Z --- Parse Warning: 132 / 146 ---
2025-08-14T20:56:26.7061280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-08-14T20:56:26.7061440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7061570Z     Applies a 1D convolution over a quantized input signal composed of
2025-08-14T20:56:26.7061630Z         several quantized input planes.
2025-08-14T20:56:26.7061670Z     
2025-08-14T20:56:26.7061790Z         For details on input arguments, parameters, and implementation see
2025-08-14T20:56:26.7061850Z         :class:`~torch.nn.Conv1d`.
2025-08-14T20:56:26.7061890Z     
2025-08-14T20:56:26.7061930Z         .. note::
2025-08-14T20:56:26.7062050Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-08-14T20:56:26.7062090Z     
2025-08-14T20:56:26.7062130Z         .. note::
2025-08-14T20:56:26.7062240Z             Only `torch.quint8` is supported for the input data type.
2025-08-14T20:56:26.7062280Z     
2025-08-14T20:56:26.7062370Z     
2025-08-14T20:56:26.7062410Z         Attributes:
2025-08-14T20:56:26.7062540Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-08-14T20:56:26.7062600Z                                  parameter.
2025-08-14T20:56:26.7062690Z             scale (Tensor):      scalar for the output scale
2025-08-14T20:56:26.7062790Z             zero_point (Tensor): scalar for the output zero point
2025-08-14T20:56:26.7062830Z     
2025-08-14T20:56:26.7062930Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-08-14T20:56:26.7062970Z     
2025-08-14T20:56:26.7063010Z         Examples::
2025-08-14T20:56:26.7063050Z     
2025-08-14T20:56:26.7063140Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-08-14T20:56:26.7063220Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-08-14T20:56:26.7063290Z             >>> input = torch.randn(20, 16, 100)
2025-08-14T20:56:26.7063350Z             >>> # quantize input to quint8
2025-08-14T20:56:26.7063410Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7063540Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-08-14T20:56:26.7063670Z             ...                                     dtype=torch.quint8)
2025-08-14T20:56:26.7063730Z             >>> output = m(q_input)
2025-08-14T20:56:26.7063760Z     
2025-08-14T20:56:26.7063810Z         
2025-08-14T20:56:26.7063960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7064000Z     
2025-08-14T20:56:26.7064050Z       warnings.warn(msg)
2025-08-14T20:56:26.7064090Z     
2025-08-14T20:56:26.7064190Z --- Parse Warning: 133 / 146 ---
2025-08-14T20:56:26.7064830Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-08-14T20:56:26.7064990Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7065100Z     A quantized long short-term memory (LSTM).
2025-08-14T20:56:26.7065140Z     
2025-08-14T20:56:26.7065310Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-08-14T20:56:26.7065350Z     
2025-08-14T20:56:26.7065390Z         Attributes:
2025-08-14T20:56:26.7065460Z             layers : instances of the `_LSTMLayer`
2025-08-14T20:56:26.7065500Z     
2025-08-14T20:56:26.7065550Z         .. note::
2025-08-14T20:56:26.7065670Z             To access the weights and biases, you need to access them per layer.
2025-08-14T20:56:26.7065780Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-08-14T20:56:26.7065820Z     
2025-08-14T20:56:26.7065870Z         Examples::
2025-08-14T20:56:26.7065920Z             >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7065980Z             >>> custom_module_config = {
2025-08-14T20:56:26.7066060Z             ...     'float_to_observed_custom_module_class': {
2025-08-14T20:56:26.7066140Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-08-14T20:56:26.7066190Z             ...     },
2025-08-14T20:56:26.7066280Z             ...     'observed_to_quantized_custom_module_class': {
2025-08-14T20:56:26.7066370Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-08-14T20:56:26.7066410Z             ...     }
2025-08-14T20:56:26.7066450Z             ... }
2025-08-14T20:56:26.7066580Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-08-14T20:56:26.7066710Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-08-14T20:56:26.7066750Z         
2025-08-14T20:56:26.7066900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7066940Z     
2025-08-14T20:56:26.7066990Z       warnings.warn(msg)
2025-08-14T20:56:26.7067030Z     
2025-08-14T20:56:26.7067160Z --- Parse Warning: 134 / 146 ---
2025-08-14T20:56:26.7067880Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-08-14T20:56:26.7068040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7068080Z     
2025-08-14T20:56:26.7068230Z     Config object that specifies the supported data types passed as arguments to
2025-08-14T20:56:26.7068360Z     quantize ops in the reference model spec, for input and output activations,
2025-08-14T20:56:26.7068420Z     weights, and biases.
2025-08-14T20:56:26.7068450Z     
2025-08-14T20:56:26.7068550Z     For example, consider the following reference model:
2025-08-14T20:56:26.7068590Z     
2025-08-14T20:56:26.7068680Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-08-14T20:56:26.7068730Z     
2025-08-14T20:56:26.7068850Z     The pattern in the square brackets refers to the reference pattern of
2025-08-14T20:56:26.7069050Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-08-14T20:56:26.7069180Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-08-14T20:56:26.7069320Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-08-14T20:56:26.7069450Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-08-14T20:56:26.7069510Z     the second quantize op (quant2).
2025-08-14T20:56:26.7069550Z     
2025-08-14T20:56:26.7069670Z     Note that the dtype here does not refer to the interface dtypes of the
2025-08-14T20:56:26.7069800Z     op. For example, the "input dtype" here is not the dtype of the input
2025-08-14T20:56:26.7069920Z     tensor passed to the quantized linear op. Though it can still be the
2025-08-14T20:56:26.7070040Z     same as the interface dtype, this is not always the case, e.g. the
2025-08-14T20:56:26.7070200Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-08-14T20:56:26.7070320Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-08-14T20:56:26.7070450Z     dtypes here are the same as the semantics of the dtypes specified in
2025-08-14T20:56:26.7070490Z     the observers.
2025-08-14T20:56:26.7070530Z     
2025-08-14T20:56:26.7070650Z     These dtypes are matched against the ones specified in the user's
2025-08-14T20:56:26.7070780Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-08-14T20:56:26.7070910Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-08-14T20:56:26.7071040Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-08-14T20:56:26.7071100Z     the pattern will not be quantized.
2025-08-14T20:56:26.7071140Z     
2025-08-14T20:56:26.7071190Z     Example usage::
2025-08-14T20:56:26.7071230Z     
2025-08-14T20:56:26.7071290Z         >>> # xdoctest: +SKIP(failing)
2025-08-14T20:56:26.7071350Z         >>> dtype_config1 = DTypeConfig(
2025-08-14T20:56:26.7071410Z         ...     input_dtype=torch.quint8,
2025-08-14T20:56:26.7071470Z         ...     output_dtype=torch.quint8,
2025-08-14T20:56:26.7071530Z         ...     weight_dtype=torch.qint8,
2025-08-14T20:56:26.7071590Z         ...     bias_dtype=torch.float)
2025-08-14T20:56:26.7071630Z     
2025-08-14T20:56:26.7071690Z         >>> dtype_config2 = DTypeConfig(
2025-08-14T20:56:26.7071760Z         ...     input_dtype=DTypeWithConstraints(
2025-08-14T20:56:26.7071820Z         ...         dtype=torch.quint8,
2025-08-14T20:56:26.7071880Z         ...         quant_min_lower_bound=0,
2025-08-14T20:56:26.7071950Z         ...         quant_max_upper_bound=255,
2025-08-14T20:56:26.7071990Z         ...     ),
2025-08-14T20:56:26.7072060Z         ...     output_dtype=DTypeWithConstraints(
2025-08-14T20:56:26.7072170Z         ...         dtype=torch.quint8,
2025-08-14T20:56:26.7072240Z         ...         quant_min_lower_bound=0,
2025-08-14T20:56:26.7072300Z         ...         quant_max_upper_bound=255,
2025-08-14T20:56:26.7072340Z         ...     ),
2025-08-14T20:56:26.7072420Z         ...     weight_dtype=DTypeWithConstraints(
2025-08-14T20:56:26.7072480Z         ...         dtype=torch.qint8,
2025-08-14T20:56:26.7072540Z         ...         quant_min_lower_bound=-128,
2025-08-14T20:56:26.7072610Z         ...         quant_max_upper_bound=127,
2025-08-14T20:56:26.7072650Z         ...     ),
2025-08-14T20:56:26.7072700Z         ...     bias_dtype=torch.float)
2025-08-14T20:56:26.7072740Z     
2025-08-14T20:56:26.7072800Z         >>> dtype_config1.input_dtype
2025-08-14T20:56:26.7072850Z         torch.quint8
2025-08-14T20:56:26.7072890Z     
2025-08-14T20:56:26.7072950Z         >>> dtype_config2.input_dtype
2025-08-14T20:56:26.7072990Z         torch.quint8
2025-08-14T20:56:26.7073030Z     
2025-08-14T20:56:26.7073110Z         >>> dtype_config2.input_dtype_with_constraints
2025-08-14T20:56:26.7073430Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-08-14T20:56:26.7073520Z     
2025-08-14T20:56:26.7073670Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7073710Z     
2025-08-14T20:56:26.7073760Z       warnings.warn(msg)
2025-08-14T20:56:26.7073800Z     
2025-08-14T20:56:26.7073900Z --- Parse Warning: 135 / 146 ---
2025-08-14T20:56:26.7074740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-08-14T20:56:26.7074890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7074960Z     
2025-08-14T20:56:26.7075120Z     Takes in optional filter values and generates two tables with desired information.
2025-08-14T20:56:26.7075160Z     
2025-08-14T20:56:26.7075280Z     The generated tables are presented in both a list-of-lists format
2025-08-14T20:56:26.7075320Z     
2025-08-14T20:56:26.7075450Z     The reason for the two tables are that they handle different things:
2025-08-14T20:56:26.7075540Z     1.) the first table handles all tensor level information
2025-08-14T20:56:26.7075670Z     2.) the second table handles and displays all channel based information
2025-08-14T20:56:26.7075710Z     
2025-08-14T20:56:26.7075900Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-14T20:56:26.7076090Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-14T20:56:26.7076300Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-14T20:56:26.7076340Z     
2025-08-14T20:56:26.7076400Z     Tensor table columns:
2025-08-14T20:56:26.7076510Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:26.7076610Z         ----  ---------  ---------   ---------   ---------        ---------
2025-08-14T20:56:26.7076650Z     
2025-08-14T20:56:26.7076710Z     Per-Channel table columns:
2025-08-14T20:56:26.7076840Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:26.7076950Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-14T20:56:26.7076990Z     
2025-08-14T20:56:26.7077030Z     Args:
2025-08-14T20:56:26.7077180Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:26.7077240Z             contain this filter substring
2025-08-14T20:56:26.7077380Z             Default = "", results in all the features being printed
2025-08-14T20:56:26.7077540Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:26.7077700Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:26.7077740Z     
2025-08-14T20:56:26.7077800Z     Returns a dictionary with two keys:
2025-08-14T20:56:26.7077900Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-08-14T20:56:26.7077980Z         "tensor_level_info", "channel_level_info"
2025-08-14T20:56:26.7078040Z             Each key maps to a tuple with:
2025-08-14T20:56:26.7078110Z                 A list of the headers of each table
2025-08-14T20:56:26.7078220Z                 A list of lists containing the table information row by row
2025-08-14T20:56:26.7078330Z                 The 0th index row will contain the headers of the columns
2025-08-14T20:56:26.7078400Z                 The rest of the rows will contain data
2025-08-14T20:56:26.7078440Z     
2025-08-14T20:56:26.7078490Z     Example Use:
2025-08-14T20:56:26.7078560Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.7078710Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-08-14T20:56:26.7078830Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:26.7078990Z         ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-08-14T20:56:26.7079030Z     
2025-08-14T20:56:26.7079180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7079220Z     
2025-08-14T20:56:26.7079270Z       warnings.warn(msg)
2025-08-14T20:56:26.7079310Z     
2025-08-14T20:56:26.7079410Z --- Parse Warning: 136 / 146 ---
2025-08-14T20:56:26.7080260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-08-14T20:56:26.7080450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7080490Z     
2025-08-14T20:56:26.7080650Z     Takes in optional filter values and prints out formatted tables of the information.
2025-08-14T20:56:26.7080690Z     
2025-08-14T20:56:26.7080890Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-08-14T20:56:26.7080990Z     1.) the first table handles all tensor level information
2025-08-14T20:56:26.7081120Z     2.) the second table handles and displays all channel based information
2025-08-14T20:56:26.7081160Z     
2025-08-14T20:56:26.7081340Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-08-14T20:56:26.7081540Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-08-14T20:56:26.7081750Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-08-14T20:56:26.7081790Z     
2025-08-14T20:56:26.7081840Z     Tensor table columns:
2025-08-14T20:56:26.7081960Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:26.7082050Z     ----  ---------  ---------   ---------   ---------        ---------
2025-08-14T20:56:26.7082090Z     
2025-08-14T20:56:26.7082150Z     Per-Channel table columns:
2025-08-14T20:56:26.7082190Z     
2025-08-14T20:56:26.7082320Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-08-14T20:56:26.7082440Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-08-14T20:56:26.7082470Z     
2025-08-14T20:56:26.7082520Z     Args:
2025-08-14T20:56:26.7082710Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:26.7082780Z             contain this filter substring
2025-08-14T20:56:26.7082890Z             Default = "", results in all the features being printed
2025-08-14T20:56:26.7083040Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:26.7083190Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:26.7083230Z     
2025-08-14T20:56:26.7083280Z     Example Use:
2025-08-14T20:56:26.7083360Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.7083460Z         >>> mod_report_visualizer.generate_table_visualization(
2025-08-14T20:56:26.7083580Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:26.7083620Z         ... )
2025-08-14T20:56:26.7083730Z         >>> # prints out neatly formatted table with per_channel_min info
2025-08-14T20:56:26.7083810Z         >>> # for all modules in block 1 of the model
2025-08-14T20:56:26.7083850Z     
2025-08-14T20:56:26.7084000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7084090Z     
2025-08-14T20:56:26.7084140Z       warnings.warn(msg)
2025-08-14T20:56:26.7084180Z     
2025-08-14T20:56:26.7084280Z --- Parse Warning: 137 / 146 ---
2025-08-14T20:56:26.7085130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-08-14T20:56:26.7085280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7085330Z     
2025-08-14T20:56:26.7085470Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-08-14T20:56:26.7085550Z     
2025-08-14T20:56:26.7085710Z     For per channel features, it averages the value across the channels and plots a point
2025-08-14T20:56:26.7085870Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-08-14T20:56:26.7086030Z     be hard to differentiate one channel line from another, and so the point of generating
2025-08-14T20:56:26.7086190Z     a single average point per module is to give a sense of general trends that encourage
2025-08-14T20:56:26.7086240Z     further deep dives.
2025-08-14T20:56:26.7086280Z     
2025-08-14T20:56:26.7090150Z     Note:
2025-08-14T20:56:26.7090340Z         Only features in the report that have tensor value data are plottable by this class
2025-08-14T20:56:26.7090440Z         When the tensor information is plotted, it will plot:
2025-08-14T20:56:26.7090530Z             idx as the x val, feature value as the y_val
2025-08-14T20:56:26.7090630Z         When the channel information is plotted, it will plot:
2025-08-14T20:56:26.7090800Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-08-14T20:56:26.7090940Z             The reason for this is that we want to be able to compare values across the
2025-08-14T20:56:26.7091080Z             channels for same layer, and it will be hard if values are staggered by idx
2025-08-14T20:56:26.7091180Z             This means each module is represented by only 1 x value
2025-08-14T20:56:26.7091220Z     Args:
2025-08-14T20:56:26.7091360Z         feature_filter (str): Filters the features presented to only those that
2025-08-14T20:56:26.7091420Z             contain this filter substring
2025-08-14T20:56:26.7091580Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:26.7091720Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:26.7091770Z     
2025-08-14T20:56:26.7091810Z     Example Use:
2025-08-14T20:56:26.7091980Z         >>> # xdoctest: +SKIP("undefined variables")
2025-08-14T20:56:26.7092090Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-08-14T20:56:26.7092210Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:26.7092250Z         ... )
2025-08-14T20:56:26.7092360Z         >>> # outputs line plot of per_channel_min information for all
2025-08-14T20:56:26.7092470Z         >>> # modules in block1 of model each channel gets it's own line,
2025-08-14T20:56:26.7092580Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-08-14T20:56:26.7092620Z     
2025-08-14T20:56:26.7092770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7092810Z     
2025-08-14T20:56:26.7092860Z       warnings.warn(msg)
2025-08-14T20:56:26.7092900Z     
2025-08-14T20:56:26.7093020Z --- Parse Warning: 138 / 146 ---
2025-08-14T20:56:26.7093890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-08-14T20:56:26.7094130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7094170Z     
2025-08-14T20:56:26.7094330Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-08-14T20:56:26.7094370Z     
2025-08-14T20:56:26.7094410Z     Note:
2025-08-14T20:56:26.7094570Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-08-14T20:56:26.7094730Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-08-14T20:56:26.7094880Z             a specific model, make sure to specify both the model and the feature properly
2025-08-14T20:56:26.7095050Z             in the filters and you should be able to see a distribution of the channel data
2025-08-14T20:56:26.7095090Z     
2025-08-14T20:56:26.7095130Z     Args:
2025-08-14T20:56:26.7095290Z         feature_filter (str, optional): Filters the features presented to only those that
2025-08-14T20:56:26.7095350Z             contain this filter substring
2025-08-14T20:56:26.7095460Z             Default = "", results in all the features being printed
2025-08-14T20:56:26.7095610Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-08-14T20:56:26.7095760Z             Default = "", results in all the modules in the reports to be visible in the table
2025-08-14T20:56:26.7095890Z         num_bins (int, optional): The number of bins to create the histogram with
2025-08-14T20:56:26.7096000Z             Default = 10, the values will be split into 10 equal sized bins
2025-08-14T20:56:26.7096040Z     
2025-08-14T20:56:26.7096090Z     Example Use:
2025-08-14T20:56:26.7096150Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7096330Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-08-14T20:56:26.7096450Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-08-14T20:56:26.7096490Z         ... )
2025-08-14T20:56:26.7096650Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-08-14T20:56:26.7096800Z             information is gathered across all channels for all modules in block 1 for the
2025-08-14T20:56:26.7096940Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-08-14T20:56:26.7096980Z     
2025-08-14T20:56:26.7097120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7097160Z     
2025-08-14T20:56:26.7097210Z       warnings.warn(msg)
2025-08-14T20:56:26.7097250Z     
2025-08-14T20:56:26.7097410Z --- Parse Warning: 139 / 146 ---
2025-08-14T20:56:26.7098170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-08-14T20:56:26.7098330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7098370Z     
2025-08-14T20:56:26.7098550Z     The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-08-14T20:56:26.7098730Z     with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-08-14T20:56:26.7098910Z     though the requirements on the type of model more-so depends on the specific report the user
2025-08-14T20:56:26.7099080Z     is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-08-14T20:56:26.7099240Z     a set of Detector classes, each of which generate reports on quantization configuration
2025-08-14T20:56:26.7099380Z     issues a use might have.
2025-08-14T20:56:26.7099420Z     
2025-08-14T20:56:26.7099500Z     Currently supports generating reports on:
2025-08-14T20:56:26.7099630Z     - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-08-14T20:56:26.7099790Z     - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-08-14T20:56:26.7099960Z     - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-08-14T20:56:26.7100090Z     - Suggestions for outlier detection for all layers (Graph Modules)
2025-08-14T20:56:26.7100130Z     
2025-08-14T20:56:26.7100370Z     The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-08-14T20:56:26.7100580Z     where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-08-14T20:56:26.7100850Z     class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-08-14T20:56:26.7100980Z     has the capability to remove all the observers it inserted as well.
2025-08-14T20:56:26.7101030Z     
2025-08-14T20:56:26.7101200Z     * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-08-14T20:56:26.7101240Z     
2025-08-14T20:56:26.7101450Z     * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-08-14T20:56:26.7101640Z         Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-08-14T20:56:26.7101680Z     
2025-08-14T20:56:26.7101850Z     * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-08-14T20:56:26.7101990Z         This set is generated by calling the get_detector_name() of each detector
2025-08-14T20:56:26.7102030Z     
2025-08-14T20:56:26.7102230Z     * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-08-14T20:56:26.7102420Z         The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-08-14T20:56:26.7102490Z         can be removed at the end if desired
2025-08-14T20:56:26.7102530Z     
2025-08-14T20:56:26.7102710Z     * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-08-14T20:56:26.7102850Z         This is to ensure we only insert observers once with the ModelReport instance
2025-08-14T20:56:26.7102890Z     
2025-08-14T20:56:26.7103040Z     * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-08-14T20:56:26.7103210Z         The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-08-14T20:56:26.7103460Z         instance. This also allows the functionality where we can generate the report multiple times
2025-08-14T20:56:26.7103550Z         as long as we haven't removed the observers yet.
2025-08-14T20:56:26.7103590Z     
2025-08-14T20:56:26.7103640Z     Note:
2025-08-14T20:56:26.7103810Z         This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-08-14T20:56:26.7103990Z         full functionality is available as long as there is a traceable GraphModule that is being used.
2025-08-14T20:56:26.7104160Z         One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-08-14T20:56:26.7104230Z         the QuantizationTracer class.
2025-08-14T20:56:26.7104270Z     
2025-08-14T20:56:26.7104320Z     General Flow for Fx workflow:
2025-08-14T20:56:26.7104550Z     1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-08-14T20:56:26.7104620Z     2.) Prepare your model with prepare_fx
2025-08-14T20:56:26.7104770Z     3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-08-14T20:56:26.7104830Z     4.) Calibrate your model with data
2025-08-14T20:56:26.7105160Z     5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-08-14T20:56:26.7105200Z     Optional
2025-08-14T20:56:26.7105360Z         6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-08-14T20:56:26.7105510Z         7.) To help in parsing report information and debugging, view report info as a:
2025-08-14T20:56:26.7105560Z             - Table
2025-08-14T20:56:26.7105600Z             - Histogram
2025-08-14T20:56:26.7105650Z             - Line plot
2025-08-14T20:56:26.7105840Z     8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-08-14T20:56:26.7105880Z     
2025-08-14T20:56:26.7105940Z     Example (with QuantizationTracer):
2025-08-14T20:56:26.7106000Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7106060Z         >>> # get the necessary qconfig
2025-08-14T20:56:26.7106170Z         >>> config = PrepareCustomConfig()
2025-08-14T20:56:26.7106260Z         >>> skipped_module_names, skipped_module_classes = (
2025-08-14T20:56:26.7106360Z         ...     get_skipped_module_name_and_classes(config, False)
2025-08-14T20:56:26.7106410Z         ... )
2025-08-14T20:56:26.7106440Z     
2025-08-14T20:56:26.7106520Z         >>> # initialize our model and get GraphModule
2025-08-14T20:56:26.7106570Z         >>> model = SomeModel()
2025-08-14T20:56:26.7106720Z         >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-08-14T20:56:26.7106830Z         >>> graph_module = GraphModule(model, tracer.trace(model))
2025-08-14T20:56:26.7106870Z     
2025-08-14T20:56:26.7106960Z         >>> # get our set of detectors and ModelReport instance
2025-08-14T20:56:26.7107020Z         >>> detector_set = set(
2025-08-14T20:56:26.7107060Z         ...     [
2025-08-14T20:56:26.7107140Z         ...         DynamicStaticDetector(tolerance=0.5),
2025-08-14T20:56:26.7107260Z         ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-08-14T20:56:26.7107310Z         ...     ]
2025-08-14T20:56:26.7107350Z         ... )
2025-08-14T20:56:26.7107470Z         >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-08-14T20:56:26.7107520Z     
2025-08-14T20:56:26.7107610Z         >>> # now we insert the observers and calibrate the model
2025-08-14T20:56:26.7107770Z         >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-08-14T20:56:26.7107840Z         >>> for i in range(num_callibration_batches):
2025-08-14T20:56:26.7107920Z         >>>     example_input = get_callibration_input()
2025-08-14T20:56:26.7108020Z         >>>     tracer_model_with_observers(example_input)
2025-08-14T20:56:26.7108070Z     
2025-08-14T20:56:26.7108220Z         >>> # finally we generate the reports and optionally remove the observers we inserted
2025-08-14T20:56:26.7108400Z         >>> reports = tracer_reporter.generate_model_report(
2025-08-14T20:56:26.7108470Z         ...     remove_inserted_observers=True
2025-08-14T20:56:26.7108520Z         ... )
2025-08-14T20:56:26.7108560Z     
2025-08-14T20:56:26.7108690Z         >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-08-14T20:56:26.7108790Z         >>> qconfigs = model_report.generate_qconfig_mapping()
2025-08-14T20:56:26.7108830Z     
2025-08-14T20:56:26.7108970Z         >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-08-14T20:56:26.7109080Z         >>> qconfigs = model_report.generate_equalization_mapping()
2025-08-14T20:56:26.7109120Z     
2025-08-14T20:56:26.7109290Z         >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-08-14T20:56:26.7109410Z         >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-08-14T20:56:26.7109450Z     
2025-08-14T20:56:26.7109500Z     
2025-08-14T20:56:26.7109650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7109800Z     
2025-08-14T20:56:26.7109850Z       warnings.warn(msg)
2025-08-14T20:56:26.7109890Z     
2025-08-14T20:56:26.7110000Z --- Parse Warning: 140 / 146 ---
2025-08-14T20:56:26.7110740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-08-14T20:56:26.7110900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7111000Z     Squashes the sparse masks into the appropriate tensors.
2025-08-14T20:56:26.7111040Z     
2025-08-14T20:56:26.7111170Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-08-14T20:56:26.7111290Z             the module will have a `sparse_params` dict attached to it.
2025-08-14T20:56:26.7111390Z     
2025-08-14T20:56:26.7111430Z             Args:
2025-08-14T20:56:26.7111550Z                 params_to_keep: List of keys to save in the module or a dict
2025-08-14T20:56:26.7111650Z                                 representing the modules and keys that will have
2025-08-14T20:56:26.7111720Z                                 sparsity parameters saved
2025-08-14T20:56:26.7111860Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-08-14T20:56:26.7111950Z                                 saved for specific layers. The keys in the dict
2025-08-14T20:56:26.7112050Z                                 should be the module fqn, while the values should
2025-08-14T20:56:26.7112150Z                                 be a list of strings with the names of the variables
2025-08-14T20:56:26.7112230Z                                 to save in the `sparse_params`
2025-08-14T20:56:26.7112270Z     
2025-08-14T20:56:26.7112310Z             Examples:
2025-08-14T20:56:26.7112400Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-08-14T20:56:26.7112470Z                 >>> # Don't save any sparse params
2025-08-14T20:56:26.7112530Z                 >>> sparsifier.squash_mask()
2025-08-14T20:56:26.7112620Z                 >>> hasattr(model.submodule1, "sparse_params")
2025-08-14T20:56:26.7112660Z                 False
2025-08-14T20:56:26.7112700Z     
2025-08-14T20:56:26.7112770Z                 >>> # Keep sparse params per layer
2025-08-14T20:56:26.7112830Z                 >>> sparsifier.squash_mask(
2025-08-14T20:56:26.7112900Z                 ...     params_to_keep_per_layer={
2025-08-14T20:56:26.7112980Z                 ...         "submodule1.linear1": ("foo", "bar"),
2025-08-14T20:56:26.7113070Z                 ...         "submodule2.linear42": ("baz",),
2025-08-14T20:56:26.7113110Z                 ...     }
2025-08-14T20:56:26.7113150Z                 ... )
2025-08-14T20:56:26.7113340Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:26.7113400Z                 {'foo': 42, 'bar': 24}
2025-08-14T20:56:26.7113500Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:26.7113550Z                 {'baz': 0.1}
2025-08-14T20:56:26.7113590Z     
2025-08-14T20:56:26.7113660Z                 >>> # Keep sparse params for all layers
2025-08-14T20:56:26.7113780Z                 >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-08-14T20:56:26.7113870Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:26.7113930Z                 {'foo': 42, 'bar': 24}
2025-08-14T20:56:26.7114020Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:26.7114080Z                 {'foo': 42, 'bar': 24}
2025-08-14T20:56:26.7114120Z     
2025-08-14T20:56:26.7114240Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-08-14T20:56:26.7114290Z                 >>> # some other layers
2025-08-14T20:56:26.7114360Z                 >>> sparsifier.squash_mask(
2025-08-14T20:56:26.7114520Z                 ...     params_to_keep=("foo", "bar"),
2025-08-14T20:56:26.7114640Z                 ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-08-14T20:56:26.7114690Z                 ... )
2025-08-14T20:56:26.7114780Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-08-14T20:56:26.7114840Z                 {'foo': 42, 'bar': 24}
2025-08-14T20:56:26.7114930Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-08-14T20:56:26.7115000Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-08-14T20:56:26.7115040Z             
2025-08-14T20:56:26.7115190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7115230Z     
2025-08-14T20:56:26.7115280Z       warnings.warn(msg)
2025-08-14T20:56:26.7115320Z     
2025-08-14T20:56:26.7115430Z --- Parse Warning: 141 / 146 ---
2025-08-14T20:56:26.7116280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-08-14T20:56:26.7116440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7116490Z     
2025-08-14T20:56:26.7116640Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-08-14T20:56:26.7116770Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-08-14T20:56:26.7116920Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-08-14T20:56:26.7116970Z     input by the user.
2025-08-14T20:56:26.7117100Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-08-14T20:56:26.7117200Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-08-14T20:56:26.7117240Z     
2025-08-14T20:56:26.7117290Z     Note::
2025-08-14T20:56:26.7117480Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-08-14T20:56:26.7117530Z     
2025-08-14T20:56:26.7117570Z     Args:
2025-08-14T20:56:26.7117630Z         model (nn.Module):
2025-08-14T20:56:26.7117760Z             The model whose layers will be sparsified. The layers that needs to be
2025-08-14T20:56:26.7117910Z             sparsified should be added separately using the register_layer() function
2025-08-14T20:56:26.7117970Z         aggregate_fn (Optional, Callable):
2025-08-14T20:56:26.7118130Z             default aggregate_fn that is used if not specified while registering the layer.
2025-08-14T20:56:26.7118230Z             specifies how inputs should be aggregated over time.
2025-08-14T20:56:26.7118480Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-08-14T20:56:26.7118530Z             Example
2025-08-14T20:56:26.7118640Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-08-14T20:56:26.7118710Z                 reduce_fn (Optional, Callable):
2025-08-14T20:56:26.7118860Z                     default reduce_fn that is used if not specified while registering the layer.
2025-08-14T20:56:26.7119010Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-08-14T20:56:26.7119070Z                     calling agg_fn() on all inputs.
2025-08-14T20:56:26.7119130Z                     Example
2025-08-14T20:56:26.7119240Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-08-14T20:56:26.7119310Z                 mask_fn (Optional, Callable):
2025-08-14T20:56:26.7119490Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-08-14T20:56:26.7119650Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-08-14T20:56:26.7119860Z                     register_layer().
2025-08-14T20:56:26.7120060Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-08-14T20:56:26.7120110Z                     arguments.
2025-08-14T20:56:26.7120180Z                 features (Optional, list):
2025-08-14T20:56:26.7120260Z                     default selected features to sparsify.
2025-08-14T20:56:26.7120420Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-08-14T20:56:26.7120470Z                     For example,
2025-08-14T20:56:26.7120630Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-08-14T20:56:26.7120690Z                 feature_dim (Optional, int):
2025-08-14T20:56:26.7120860Z                     default dimension of input features. Again, features along this dim will be chosen
2025-08-14T20:56:26.7120960Z                     for sparsification.
2025-08-14T20:56:26.7121020Z                 sparse_config (Dict):
2025-08-14T20:56:26.7121150Z                     Default configuration for the mask_fn. This config will be passed
2025-08-14T20:56:26.7121210Z                     with the mask_fn()
2025-08-14T20:56:26.7121250Z     
2025-08-14T20:56:26.7121290Z     Example:
2025-08-14T20:56:26.7121350Z         >>> # xdoctest: +SKIP
2025-08-14T20:56:26.7121400Z         >>> model = SomeModel()
2025-08-14T20:56:26.7121540Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-08-14T20:56:26.7121600Z         >>> # Initialize aggregate_fn
2025-08-14T20:56:26.7121650Z         >>> def agg_fn(x, y):
2025-08-14T20:56:26.7121710Z         >>>     return x + y
2025-08-14T20:56:26.7121750Z         >>>
2025-08-14T20:56:26.7121800Z         >>> # Initialize reduce_fn
2025-08-14T20:56:26.7121860Z         >>> def reduce_fn(x):
2025-08-14T20:56:26.7121920Z         >>>     return torch.mean(x, dim=0)
2025-08-14T20:56:26.7121970Z         >>>
2025-08-14T20:56:26.7122020Z         >>> # Initialize mask_fn
2025-08-14T20:56:26.7122070Z         >>> def mask_fn(data):
2025-08-14T20:56:26.7122160Z         >>>     return torch.eye(data.shape).to(data.device)
2025-08-14T20:56:26.7122200Z         >>>
2025-08-14T20:56:26.7122240Z         >>>
2025-08-14T20:56:26.7122310Z         >>> act_sparsifier.register_layer(
2025-08-14T20:56:26.7122360Z         ...     model.some_layer,
2025-08-14T20:56:26.7122410Z         ...     aggregate_fn=agg_fn,
2025-08-14T20:56:26.7122470Z         ...     reduce_fn=reduce_fn,
2025-08-14T20:56:26.7122520Z         ...     mask_fn=mask_fn,
2025-08-14T20:56:26.7122560Z         ... )
2025-08-14T20:56:26.7122600Z         >>>
2025-08-14T20:56:26.7122650Z         >>> # start training process
2025-08-14T20:56:26.7122700Z         >>> for _ in [...]:
2025-08-14T20:56:26.7122750Z         >>> # epoch starts
2025-08-14T20:56:26.7122910Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-08-14T20:56:26.7122970Z         >>> # epoch ends
2025-08-14T20:56:26.7123030Z         >>>     act_sparsifier.step()
2025-08-14T20:56:26.7123090Z         >>> # end training process
2025-08-14T20:56:26.7123150Z         >>> sparsifier.squash_mask()
2025-08-14T20:56:26.7123190Z     
2025-08-14T20:56:26.7123340Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7123380Z     
2025-08-14T20:56:26.7123430Z       warnings.warn(msg)
2025-08-14T20:56:26.7123470Z     
2025-08-14T20:56:26.7123570Z --- Parse Warning: 142 / 146 ---
2025-08-14T20:56:26.7124390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-08-14T20:56:26.7124550Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7125320Z     
2025-08-14T20:56:26.7125450Z     Abstract method that needs to be implemented by the child class.
2025-08-14T20:56:26.7125610Z     The expected return type should is a dictionary of name to schedule_param value
2025-08-14T20:56:26.7125770Z     The returned values will be updated in sparsifier when the scheduler step() function
2025-08-14T20:56:26.7125820Z     is called.
2025-08-14T20:56:26.7125850Z     
2025-08-14T20:56:26.7125900Z     Example:
2025-08-14T20:56:26.7125960Z         >>> def get_schedule_param(self):
2025-08-14T20:56:26.7126010Z         ...     new_param = {}
2025-08-14T20:56:26.7126110Z         ...     for name in self.sparsifier.data_groups.keys():
2025-08-14T20:56:26.7126160Z         ...         new_param[name] = (
2025-08-14T20:56:26.7126300Z         ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-08-14T20:56:26.7126420Z         ...         )
2025-08-14T20:56:26.7126480Z         ...     return new_param
2025-08-14T20:56:26.7126520Z     
2025-08-14T20:56:26.7126720Z     When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-08-14T20:56:26.7126770Z     would be halved
2025-08-14T20:56:26.7126810Z     
2025-08-14T20:56:26.7126960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7127000Z     
2025-08-14T20:56:26.7127050Z       warnings.warn(msg)
2025-08-14T20:56:26.7127090Z     
2025-08-14T20:56:26.7127230Z --- Parse Warning: 143 / 146 ---
2025-08-14T20:56:26.7127940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-08-14T20:56:26.7128090Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7128130Z     
2025-08-14T20:56:26.7128240Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-08-14T20:56:26.7128360Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-08-14T20:56:26.7128490Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-08-14T20:56:26.7128600Z     so the values are in (0, 1), and has reparametrizable samples.
2025-08-14T20:56:26.7128640Z     
2025-08-14T20:56:26.7128690Z     Example::
2025-08-14T20:56:26.7128730Z     
2025-08-14T20:56:26.7128820Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.7128900Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-08-14T20:56:26.7128990Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-08-14T20:56:26.7129030Z         >>> m.sample()
2025-08-14T20:56:26.7129210Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-08-14T20:56:26.7129250Z     
2025-08-14T20:56:26.7129290Z     Args:
2025-08-14T20:56:26.7129380Z         temperature (Tensor): relaxation temperature
2025-08-14T20:56:26.7129480Z         probs (Number, Tensor): the probability of sampling `1`
2025-08-14T20:56:26.7129580Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-08-14T20:56:26.7129620Z     
2025-08-14T20:56:26.7129770Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7129810Z     
2025-08-14T20:56:26.7129860Z       warnings.warn(msg)
2025-08-14T20:56:26.7129900Z     
2025-08-14T20:56:26.7130000Z --- Parse Warning: 144 / 146 ---
2025-08-14T20:56:26.7130730Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-08-14T20:56:26.7130890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7131100Z     
2025-08-14T20:56:26.7131240Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-08-14T20:56:26.7131350Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-08-14T20:56:26.7131500Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-08-14T20:56:26.7131600Z     its samples are on simplex, and are reparametrizable.
2025-08-14T20:56:26.7131640Z     
2025-08-14T20:56:26.7131680Z     Example::
2025-08-14T20:56:26.7131720Z     
2025-08-14T20:56:26.7131800Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.7131900Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-08-14T20:56:26.7131980Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-08-14T20:56:26.7132030Z         >>> m.sample()
2025-08-14T20:56:26.7132170Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-08-14T20:56:26.7132210Z     
2025-08-14T20:56:26.7132250Z     Args:
2025-08-14T20:56:26.7132330Z         temperature (Tensor): relaxation temperature
2025-08-14T20:56:26.7132400Z         probs (Tensor): event probabilities
2025-08-14T20:56:26.7132520Z         logits (Tensor): unnormalized log probability for each event
2025-08-14T20:56:26.7132550Z     
2025-08-14T20:56:26.7132710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7132740Z     
2025-08-14T20:56:26.7132790Z       warnings.warn(msg)
2025-08-14T20:56:26.7132830Z     
2025-08-14T20:56:26.7132930Z --- Parse Warning: 145 / 146 ---
2025-08-14T20:56:26.7133690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-08-14T20:56:26.7133840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7133890Z     
2025-08-14T20:56:26.7134070Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-08-14T20:56:26.7134180Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-08-14T20:56:26.7134220Z     
2025-08-14T20:56:26.7134330Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-08-14T20:56:26.7134370Z     
2025-08-14T20:56:26.7134410Z     Example:
2025-08-14T20:56:26.7134490Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-08-14T20:56:26.7134580Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-08-14T20:56:26.7134650Z         >>> m = LowRankMultivariateNormal(
2025-08-14T20:56:26.7134770Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-08-14T20:56:26.7134860Z         ... )
2025-08-14T20:56:26.7135040Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-08-14T20:56:26.7135100Z         tensor([-0.2102, -0.5429])
2025-08-14T20:56:26.7135140Z     
2025-08-14T20:56:26.7135180Z     Args:
2025-08-14T20:56:26.7135320Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-08-14T20:56:26.7135480Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-08-14T20:56:26.7135550Z             `batch_shape + event_shape + (rank,)`
2025-08-14T20:56:26.7135700Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-08-14T20:56:26.7135760Z             `batch_shape + event_shape`
2025-08-14T20:56:26.7135800Z     
2025-08-14T20:56:26.7135840Z     Note:
2025-08-14T20:56:26.7136000Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-08-14T20:56:26.7136140Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-08-14T20:56:26.7136390Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-08-14T20:56:26.7136570Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-08-14T20:56:26.7136720Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-08-14T20:56:26.7136790Z         the small size "capacitance" matrix::
2025-08-14T20:56:26.7136830Z     
2025-08-14T20:56:26.7136950Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-08-14T20:56:26.7136990Z     
2025-08-14T20:56:26.7137140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7137180Z     
2025-08-14T20:56:26.7137230Z       warnings.warn(msg)
2025-08-14T20:56:26.7137270Z     
2025-08-14T20:56:26.7137380Z --- Parse Warning: 146 / 146 ---
2025-08-14T20:56:26.7138080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-08-14T20:56:26.7138300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-08-14T20:56:26.7138340Z     
2025-08-14T20:56:26.7138470Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-08-14T20:56:26.7138620Z     distribution where all component are from different parameterizations of
2025-08-14T20:56:26.7138750Z     the same distribution type. It is parameterized by a `Categorical`
2025-08-14T20:56:26.7138860Z     "selecting distribution" (over `k` component) and a component
2025-08-14T20:56:26.7138990Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-08-14T20:56:26.7139090Z     (equal to `[k]`) which indexes each (batch of) component.
2025-08-14T20:56:26.7139130Z     
2025-08-14T20:56:26.7139180Z     Examples::
2025-08-14T20:56:26.7139220Z     
2025-08-14T20:56:26.7139290Z         >>> # xdoctest: +SKIP("undefined vars")
2025-08-14T20:56:26.7139410Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-08-14T20:56:26.7139480Z         >>> # weighted normal distributions
2025-08-14T20:56:26.7139550Z         >>> mix = D.Categorical(torch.ones(5,))
2025-08-14T20:56:26.7139640Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-08-14T20:56:26.7139710Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:26.7139750Z     
2025-08-14T20:56:26.7139860Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-08-14T20:56:26.7139950Z         >>> # weighted bivariate normal distributions
2025-08-14T20:56:26.7140010Z         >>> mix = D.Categorical(torch.ones(5,))
2025-08-14T20:56:26.7140080Z         >>> comp = D.Independent(D.Normal(
2025-08-14T20:56:26.7140250Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-08-14T20:56:26.7140330Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:26.7140370Z     
2025-08-14T20:56:26.7140480Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-08-14T20:56:26.7140610Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-08-14T20:56:26.7140680Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-08-14T20:56:26.7140740Z         >>> comp = D.Independent(D.Normal(
2025-08-14T20:56:26.7140820Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-08-14T20:56:26.7140900Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-08-14T20:56:26.7140930Z     
2025-08-14T20:56:26.7140980Z     Args:
2025-08-14T20:56:26.7141100Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-08-14T20:56:26.7141220Z             instance. Manages the probability of selecting component.
2025-08-14T20:56:26.7141320Z             The number of categories must match the rightmost batch
2025-08-14T20:56:26.7141440Z             dimension of the `component_distribution`. Must have either
2025-08-14T20:56:26.7141620Z             scalar `batch_shape` or `batch_shape` matching
2025-08-14T20:56:26.7141700Z             `component_distribution.batch_shape[:-1]`
2025-08-14T20:56:26.7141840Z         component_distribution: `torch.distributions.Distribution`-like
2025-08-14T20:56:26.7141950Z             instance. Right-most batch dimension indexes component.
2025-08-14T20:56:26.7141980Z     
2025-08-14T20:56:26.7142130Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-08-14T20:56:26.7142180Z     
2025-08-14T20:56:26.7142230Z       warnings.warn(msg)
2025-08-14T20:56:26.7142270Z     
2025-08-14T20:56:26.7142320Z 
2025-08-14T20:56:26.7142420Z === Found 8 run-time warnings ===
2025-08-14T20:56:26.7142510Z --- Runtime Warning: 1 / 8 ---
2025-08-14T20:56:26.7142700Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 247) at 0x1393effb0>
2025-08-14T20:56:26.7143180Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-08-14T20:56:26.7143370Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-08-14T20:56:26.7143490Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-08-14T20:56:26.7143710Z         registered at /Users/ec2-user/runner/_work/pytorch/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6
2025-08-14T20:56:26.7143760Z       dispatch key: CPU
2025-08-14T20:56:26.7144050Z       previous kernel: registered at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-08-14T20:56:26.7144410Z            new kernel: registered at /dev/null:811 (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.)
2025-08-14T20:56:26.7144510Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-08-14T20:56:26.7144550Z     
2025-08-14T20:56:26.7144650Z --- Runtime Warning: 2 / 8 ---
2025-08-14T20:56:26.7144790Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x1394ee030>
2025-08-14T20:56:26.7145650Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/c10/core/TensorImpl.h:1978.)
2025-08-14T20:56:26.7145720Z       return super().refine_names(names)
2025-08-14T20:56:26.7145760Z     
2025-08-14T20:56:26.7145850Z --- Runtime Warning: 3 / 8 ---
2025-08-14T20:56:26.7146060Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x13cd10c20>
2025-08-14T20:56:26.7147190Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-08-14T20:56:26.7147350Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-08-14T20:56:26.7147390Z     
2025-08-14T20:56:26.7147490Z --- Runtime Warning: 4 / 8 ---
2025-08-14T20:56:26.7147660Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x13cd12de0>
2025-08-14T20:56:26.7148560Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:271: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-08-14T20:56:26.7148820Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-08-14T20:56:26.7148860Z     
2025-08-14T20:56:26.7148950Z --- Runtime Warning: 5 / 8 ---
2025-08-14T20:56:26.7149120Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x13cd1e600>
2025-08-14T20:56:26.7149640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-08-14T20:56:26.7149720Z       WeightNorm.apply(module, name, dim)
2025-08-14T20:56:26.7149760Z     
2025-08-14T20:56:26.7149900Z --- Runtime Warning: 6 / 8 ---
2025-08-14T20:56:26.7150070Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x13cd1e870>
2025-08-14T20:56:26.7150590Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-08-14T20:56:26.7150660Z       WeightNorm.apply(module, name, dim)
2025-08-14T20:56:26.7150700Z     
2025-08-14T20:56:26.7150800Z --- Runtime Warning: 7 / 8 ---
2025-08-14T20:56:26.7150960Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x13b7d3cb0>
2025-08-14T20:56:26.7151640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-08-14T20:56:26.7155960Z       warnings.warn(
2025-08-14T20:56:26.7156010Z     
2025-08-14T20:56:26.7156120Z --- Runtime Warning: 8 / 8 ---
2025-08-14T20:56:26.7156320Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x13b7d3c20>
2025-08-14T20:56:26.7156990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-08-14T20:56:26.7157030Z       warnings.warn(
2025-08-14T20:56:26.7157070Z     
2025-08-14T20:56:26.7157240Z === 338 passed, 394 skipped, 154 warnings in 9.78 seconds ===
2025-08-14T20:56:29.0645280Z 
2025-08-14T20:56:29.0646030Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_415f59dc1a632664_.log
2025-08-14T20:56:29.0646590Z 
2025-08-14T20:56:29.0650720Z Running inductor/test_flex_attention 1/1 ... [2025-08-14 20:56:29.064995]
2025-08-14T20:56:29.0651020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:29.0653680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:29.065261]
2025-08-14T20:56:31.7017120Z 
2025-08-14T20:56:31.7017830Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_3df777439e8e0e99_.log
2025-08-14T20:56:31.7194260Z Running 498 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_local_window_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_multiplicative_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_default_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_mode_max-autotune-no-cudagraphs_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_weird_bias_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu
2025-08-14T20:56:31.7340420Z 
2025-08-14T20:56:31.7340580Z Running inductor/test_benchmark_fusion 1/1 ... [2025-08-14 20:56:31.703407]
2025-08-14T20:56:31.7340870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:31.7341590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:31.703729]
2025-08-14T20:56:34.2041050Z 
2025-08-14T20:56:34.2041700Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_7a05552c9869e990_.log
2025-08-14T20:56:34.2042250Z Running 0 items in this shard:
2025-08-14T20:56:34.2042380Z 
2025-08-14T20:56:34.2045270Z Running inductor/test_cutlass_backend 1/1 ... [2025-08-14 20:56:34.204430]
2025-08-14T20:56:34.2045570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:34.2047850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:34.204701]
2025-08-14T20:56:36.5184330Z 
2025-08-14T20:56:36.5184950Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_549b04d8dd9d7e07_.log
2025-08-14T20:56:36.5185430Z 
2025-08-14T20:56:36.5188180Z Running dynamo/test_fake_distributed 1/1 ... [2025-08-14 20:56:36.518744]
2025-08-14T20:56:36.5188490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:36.5191100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:36.518998]
2025-08-14T20:56:38.3999630Z 
2025-08-14T20:56:38.4000230Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_43a87e72359f58d5_.log
2025-08-14T20:56:38.4000990Z Running 1 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd
2025-08-14T20:56:38.4001320Z 
2025-08-14T20:56:38.4003570Z Running inductor/test_distributed_patterns 1/1 ... [2025-08-14 20:56:38.400295]
2025-08-14T20:56:38.4003880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:38.4006580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:38.400563]
2025-08-14T20:56:40.6978280Z 
2025-08-14T20:56:40.6978890Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_d11d7dd9f1f8b76e_.log
2025-08-14T20:56:40.6979400Z 
2025-08-14T20:56:40.6982080Z Running test_cpp_api_parity 1/1 ... [2025-08-14 20:56:40.698140]
2025-08-14T20:56:40.6982360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:40.6985070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:40.698401]
2025-08-14T20:56:59.3152740Z 
2025-08-14T20:56:59.3153370Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_52172f1a7507403a_.log
2025-08-14T20:56:59.3285620Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_circular_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_groups_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad1size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad2size1_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_same_dilated_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_pad_valid_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_reflect_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_replicate_stride2_pad2_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_stride_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_Conv1d_zero_batch, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_1d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_2d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_nearest_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_3d_zero_dim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_scale_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_interpolate_trilinear_tuple_3d_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_log_softmax_spatial_special_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_has_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_sample_functional_no_parity_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim0_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-08-14T20:56:59.3394220Z 
2025-08-14T20:56:59.3394390Z Running test_transformers_privateuse1 1/1 ... [2025-08-14 20:56:59.316880]
2025-08-14T20:56:59.3394720Z Running test_extension_utils 1/1 ... [2025-08-14 20:56:59.317105]
2025-08-14T20:56:59.3394970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:56:59.3395810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:56:59.317394]
2025-08-14T20:57:01.2157000Z 
2025-08-14T20:57:01.2157590Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_fdc3931316bd7144_.log
2025-08-14T20:57:01.2158530Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-08-14T20:57:01.2159080Z 
2025-08-14T20:57:01.2160790Z Running test_fx 1/1 ... [2025-08-14 20:57:01.216019]
2025-08-14T20:57:01.2161060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:01.2163660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:01.216277]
2025-08-14T20:57:22.8538580Z 
2025-08-14T20:57:22.8539100Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_e10f9b87e2163ffc_.log
2025-08-14T20:57:22.8794480Z Running 1153 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32
2025-08-14T20:57:22.9030990Z 
2025-08-14T20:57:22.9031120Z Running test_fake_tensor 1/1 ... [2025-08-14 20:57:22.856063]
2025-08-14T20:57:22.9031370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:22.9032060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:22.856393]
2025-08-14T20:57:27.7738850Z 
2025-08-14T20:57:27.7739560Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_af3e6d65c59e053f_.log
2025-08-14T20:57:27.7818210Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_key_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_dead_weak_ref_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_from_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_memoized_conversion_to_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_multiple_modes_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_active_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_no_ref_cycle_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_non_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConverterTest::test_separate_tensor_storages_view_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_conv_c1_backward, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_cross_entropy_loss, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_embedding_bag_private, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_fake_gpu_no_init, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_flash_attention, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_like_ops, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_module_to, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_no_dispatch_with_like_function, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_non_kwarg_only_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only
2025-08-14T20:57:27.7886190Z 
2025-08-14T20:57:27.7886310Z Running test_openreg 1/1 ... [2025-08-14 20:57:27.774595]
2025-08-14T20:57:27.7886600Z Running test_show_pickle 1/1 ... [2025-08-14 20:57:27.774821]
2025-08-14T20:57:27.7886840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:27.7887560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:27.775132]
2025-08-14T20:57:29.7304080Z 
2025-08-14T20:57:29.7304640Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_8267cb655ca92bc9_.log
2025-08-14T20:57:29.7305350Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-08-14T20:57:29.7305650Z 
2025-08-14T20:57:29.7308240Z Running test_tensorexpr 1/1 ... [2025-08-14 20:57:29.730773]
2025-08-14T20:57:29.7308560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:29.7311650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:29.731061]
2025-08-14T20:57:42.6897590Z 
2025-08-14T20:57:42.6898100Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_809ae349afe73b68_.log
2025-08-14T20:57:42.6910960Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where
2025-08-14T20:57:42.6923240Z 
2025-08-14T20:57:42.6923440Z Running test_torch 1/1 ... [2025-08-14 20:57:42.690143]
2025-08-14T20:57:42.6923700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:42.6924460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:42.690423]
2025-08-14T20:57:50.3436180Z 
2025-08-14T20:57:50.3436800Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_833f9b86858b136e_.log
2025-08-14T20:57:50.3661010Z Running 1045 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, test/test_torch.py::TestTorch::test_tensor_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_tensor_item_no_warning, test/test_torch.py::TestTorch::test_tensor_ressurecting_clear, test/test_torch.py::TestTorch::test_tensor_resurrected_weak_ref, test/test_torch.py::TestTorch::test_tensor_set, test/test_torch.py::TestTorch::test_tensor_set_errors, test/test_torch.py::TestTorch::test_tensor_slot_dealloc, test/test_torch.py::TestTorch::test_tensor_weakref_dealloc, test/test_torch.py::TestTorch::test_tensor_where_scalar, test/test_torch.py::TestTorch::test_tensor_with_grad_to_scalar_warning, test/test_torch.py::TestTorch::test_tensoriterator_output_setup, test/test_torch.py::TestTorch::test_terminate_handler_on_crash, test/test_torch.py::TestTorch::test_to, test/test_torch.py::TestTorch::test_to_with_tensor, test/test_torch.py::TestTorch::test_topk_neg_dim, test/test_torch.py::TestTorch::test_torch_from_file, test/test_torch.py::TestTorch::test_transpose_neg_dim, test/test_torch.py::TestTorch::test_type, test/test_torch.py::TestTorch::test_type_alias, test/test_torch.py::TestTorch::test_type_conversion_via_dtype_name, test/test_torch.py::TestTorch::test_typed_storage_deprecation_warning, test/test_torch.py::TestTorch::test_typed_storage_internal_no_warning, test/test_torch.py::TestTorch::test_unbind_neg_dim, test/test_torch.py::TestTorch::test_unflatten, test/test_torch.py::TestTorch::test_unfold_neg_dim, test/test_torch.py::TestTorch::test_unsqueeze_neg_dim, test/test_torch.py::TestTorch::test_upsample_nearest1d_meta, test/test_torch.py::TestTorch::test_upsample_nearest2d_meta, test/test_torch.py::TestTorch::test_var_neg_dim, test/test_torch.py::TestTorch::test_warn_types, test/test_torch.py::TestTorch::test_wildcard_import, test/test_torch.py::TestVitalSignsCudaCPU::test_cuda_vitals_gpu_only_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test__local_scalar_dense_with_empty_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcdiv_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_cuda_errors_with_cpu_scalars_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_False_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_addcmul_use_cpu_scalar_True_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_assertRaisesRegex_ignore_msg_non_native_device_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_edge_cases_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_p_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bernoulli_self_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bfloat16_neg_abs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bool_tensor_value_change_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_add_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcdiv_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_addcmul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_atan2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_div_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_eq_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_fmod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ge_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_gt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_le_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lerp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_lt_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map2_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_map_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_fill_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_scatter_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_masked_select_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_min_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_mul_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_ne_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_pow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_remainder_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_broadcast_fn_sub_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_bytes_to_scalar_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_norm_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_same_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_all_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_check_tensor_internal_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_not_memory_dense_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_clone_zero_stride_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_complex_half_experimental_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_constants_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_backward_agnostic_to_memory_format_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_conv_transposed_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummin_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumprod_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_64bit_indexing_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deepcopy_scalar_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_empty_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_replication_pad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_deterministic_resize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_device_guard_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_diff_noncontig_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_dim_function_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_discontiguous_out_cumsum_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dist_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_dtypetensor_warnings_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_errors_index_copy_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_expected_failure_xla_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scale_will_not_overflow_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_deprecated_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaler_pass_itself_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_accumulation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach0_fused0_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_setitem_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_storage_use_count_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_strides_propagation_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_sync_warning_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_take_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_from_storage_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_set_errors_multigpu_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_shape_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_storage_type_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_tensor_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_ternary_op_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_typed_storage_meta_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_uniform_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_untyped_storage_meta_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_warn_always_caught_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_where_scalar_handcrafted_values_cpu
2025-08-14T20:57:50.3838430Z 
2025-08-14T20:57:50.3838560Z Running test_utils 1/1 ... [2025-08-14 20:57:50.344840]
2025-08-14T20:57:50.3838790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:57:50.3839560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:57:50.345161]
2025-08-14T20:59:46.7049200Z 
2025-08-14T20:59:46.7049790Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_0cf593aa60123c55_.log
2025-08-14T20:59:46.8258220Z Running 6045 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestONNXUtils::test_check_onnx_broadcast, test/test_utils.py::TestONNXUtils::test_prepare_onnx_paddings, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bfloat16_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bincount_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isneginf_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_list_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated
2025-08-14T20:59:46.9775510Z 
2025-08-14T20:59:46.9775870Z Running test_python_dispatch 1/1 ... [2025-08-14 20:59:46.711148]
2025-08-14T20:59:46.9776600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:59:46.9778520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:59:46.711529]
2025-08-14T20:59:52.7759960Z 
2025-08-14T20:59:52.7760570Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_8b7f15c7fe1d9b09_.log
2025-08-14T20:59:52.7789100Z Running 118 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32
2025-08-14T20:59:52.7816490Z 
2025-08-14T20:59:52.7816610Z Running test_dispatch 1/1 ... [2025-08-14 20:59:52.776492]
2025-08-14T20:59:52.7816850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T20:59:52.7817570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 20:59:52.776806]
2025-08-14T21:00:13.3039650Z 
2025-08-14T21:00:13.3040260Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_8485c8c4f8013664_.log
2025-08-14T21:00:13.3048450Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented
2025-08-14T21:00:13.3056100Z 
2025-08-14T21:00:13.3056300Z Running test_namedtuple_return_api 1/1 ... [2025-08-14 21:00:13.304431]
2025-08-14T21:00:13.3056670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:00:13.3057680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:00:13.304766]
2025-08-14T21:00:15.8654630Z 
2025-08-14T21:00:15.8655270Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_497a08deed58e43c_.log
2025-08-14T21:00:15.8656550Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml
2025-08-14T21:00:15.8657580Z 
2025-08-14T21:00:15.8658950Z Running test_multiprocessing 1/1 ... [2025-08-14 21:00:15.865831]
2025-08-14T21:00:15.8659270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:00:15.8662290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:00:15.866124]
2025-08-14T21:03:22.8083240Z 
2025-08-14T21:03:22.8083800Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_1595900a98502cf7_.log
2025-08-14T21:03:22.8092760Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork
2025-08-14T21:03:22.8100810Z 
2025-08-14T21:03:22.8100940Z Running test_autograd_fallback 1/1 ... [2025-08-14 21:03:22.808739]
2025-08-14T21:03:22.8101210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:22.8101950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:22.809015]
2025-08-14T21:03:24.7571810Z 
2025-08-14T21:03:24.7572570Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_eea150ca126a5b8f_.log
2025-08-14T21:03:24.7580980Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn
2025-08-14T21:03:24.7588950Z 
2025-08-14T21:03:24.7589140Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-08-14 21:03:24.757542]
2025-08-14T21:03:24.7589470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:24.7590380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:24.757863]
2025-08-14T21:03:26.5397600Z 
2025-08-14T21:03:26.5398220Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_2f37479d884d70dd_.log
2025-08-14T21:03:26.5401710Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-08-14T21:03:26.5403190Z 
2025-08-14T21:03:26.5403350Z Running test_jit_disabled 1/1 ... [2025-08-14 21:03:26.540156]
2025-08-14T21:03:26.5403640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:26.5405320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:26.540446]
2025-08-14T21:03:28.5553040Z 
2025-08-14T21:03:28.5553610Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_d3e9e7d98f51397d_.log
2025-08-14T21:03:28.5554630Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction
2025-08-14T21:03:28.5555280Z 
2025-08-14T21:03:28.5557200Z Running test_tensor_creation_ops 1/1 ... [2025-08-14 21:03:28.555658]
2025-08-14T21:03:28.5557720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:28.5560250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:28.555932]
2025-08-14T21:03:38.3563000Z 
2025-08-14T21:03:38.3563570Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_fd6158834ddda3f8_.log
2025-08-14T21:03:38.3698050Z Running 641 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32
2025-08-14T21:03:38.3826250Z 
2025-08-14T21:03:38.3826480Z Running test_autocast 1/1 ... [2025-08-14 21:03:38.357797]
2025-08-14T21:03:38.3826740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:38.3827540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:38.358075]
2025-08-14T21:03:40.8591030Z 
2025-08-14T21:03:40.8591540Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_cbf8de07507ec1e6_.log
2025-08-14T21:03:40.8595840Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-08-14T21:03:40.8600040Z 
2025-08-14T21:03:40.8600230Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-08-14 21:03:40.859496]
2025-08-14T21:03:40.8600580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:40.8601470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:40.859815]
2025-08-14T21:03:42.6282040Z 
2025-08-14T21:03:42.6282810Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_1ad3df3cdabe2bda_.log
2025-08-14T21:03:42.6283800Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-08-14T21:03:42.6284230Z 
2025-08-14T21:03:42.6287350Z Running test_cuda_trace 1/1 ... [2025-08-14 21:03:42.628636]
2025-08-14T21:03:42.6287740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:42.6290710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:42.628949]
2025-08-14T21:03:44.4266960Z 
2025-08-14T21:03:44.4267510Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_1d349c8c814f79ca_.log
2025-08-14T21:03:44.4267960Z Running 0 items in this shard:
2025-08-14T21:03:44.4268090Z 
2025-08-14T21:03:44.4271380Z Running test_reductions 1/1 ... [2025-08-14 21:03:44.427055]
2025-08-14T21:03:44.4271660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:03:44.4274580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:03:44.427329]
2025-08-14T21:05:08.1377050Z 
2025-08-14T21:05:08.1377540Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_2560d2920e464466_.log
2025-08-14T21:05:08.2341100Z Running 4673 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_all_any_with_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_all_issue117215_cpu, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amax_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_amin_amax_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_amin_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_aminmax_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_axis_with_dim_one_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_large_axis_cpu, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_argminmax_multiple_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_bincount_cpu, test/test_reductions.py::TestReductionsCPU::test_bucketization_cpu, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_count_nonzero_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_cumprod_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_cumsum_integer_upcast_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_dim_arg_reduction_scalar_cpu_uint8, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim__refs_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_any_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_count_nonzero_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_hash_tensor_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_keepdim_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_linalg_vector_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_amin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmax_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_argmin_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_logsumexp_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_norm_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_masked_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nanmean_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_nansum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_prod_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_std_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_sum_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_default_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_all_cpu, test/test_reductions.py::TestReductionsCPU::test_dim_empty__refs_amax_cpu, 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test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64
2025-08-14T21:05:08.3286930Z 
2025-08-14T21:05:08.3287060Z Running test_native_mha 1/1 ... [2025-08-14 21:05:08.141682]
2025-08-14T21:05:08.3287310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:05:08.3288030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:05:08.141977]
2025-08-14T21:05:10.1390110Z 
2025-08-14T21:05:10.1390610Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_3a2137ca534588b3_.log
2025-08-14T21:05:10.1403020Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32
2025-08-14T21:05:10.1418040Z 
2025-08-14T21:05:10.1418170Z Running test_sort_and_select 1/1 ... [2025-08-14 21:05:10.139404]
2025-08-14T21:05:10.1418430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:05:10.1419150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:05:10.139666]
2025-08-14T21:05:13.0938810Z 
2025-08-14T21:05:13.0939350Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_66568384705f79a4_.log
2025-08-14T21:05:13.0963840Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_1d_parallel_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_discontiguous_slow_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_expanded_tensor_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_large_slice_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_overflow_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_restride_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_sort_stable_none_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_against_numpy_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_stable_sort_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_1d_output_discontiguous_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_4d_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu
2025-08-14T21:05:13.0986240Z 
2025-08-14T21:05:13.0986430Z Running test_cuda_nvml_based_avail 1/1 ... [2025-08-14 21:05:13.094319]
2025-08-14T21:05:13.0986710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:05:13.0987480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:05:13.094590]
2025-08-14T21:05:14.8279140Z 
2025-08-14T21:05:14.8279710Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_def5f39ddf2d0459_.log
2025-08-14T21:05:14.8280220Z Running 0 items in this shard:
2025-08-14T21:05:14.8280350Z 
2025-08-14T21:05:14.8283540Z Running test_nn 1/1 ... [2025-08-14 21:05:14.828284]
2025-08-14T21:05:14.8283780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:05:14.8286730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:05:14.828558]
2025-08-14T21:07:18.7953140Z 
2025-08-14T21:07:18.7953690Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_f73a9dc29d22531f_.log
2025-08-14T21:07:18.9130660Z Running 3434 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_BatchNorm_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_Bilinear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_empty_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GRU_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_memory_format_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_raises_error_if_one_value_per_group_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm1d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm2d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm3d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LocalResponseNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_warnings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_deterministic_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_fails_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad1d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Transformer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Unfold_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_adaptiveavg_pool1d_shmem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate45_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate90_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_3d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_update_stats_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_channel_shuffle_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_error_if_nonfinite_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_errors_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_weight_ignore_indices_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_with_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_index_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_one_hot_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_all_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cpu_length_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_device_mask_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_with_neg_alpha_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_fold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_glu_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_bfloat16_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_gumbel_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardsigmoid_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_for_single_spatial_element_during_training_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_less_than_one_value_per_channel_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_invalid_reduction_strings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_weight_bias_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_neg_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_zero_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_linear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_big_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_logsigmoid_out_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_lstmcell_backward_only_one_output_grad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_TxT_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_devices_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_forward_with_nans_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mask_types_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_transformer_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_non_recursive_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mse_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_all_ignored_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_byte_target_matches_long_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_target_dim_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_mismatched_batch_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_out_of_bounds_ignore_index_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_total_weight_is_zero_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nonlinearity_propagate_nan_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_one_hot_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_overwrite_module_params_on_conversion_cpu_device_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_prelu_backward_32bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_replicatepad_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_save_lstm_compatibility_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_silu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_skip_init_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_vs_huber_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smoothl1loss_backward_zero_beta_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_smem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_grad_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_without_fully_vectorized_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_double_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_forward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_results_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_low_threshold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_negative_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_threshold_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_fast_path_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_gelu_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_default_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_correctness_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_fail_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_rocm_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_rescale_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingnearest2d_backward_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_variable_sequence_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float32
2025-08-14T21:07:19.0279370Z 
2025-08-14T21:07:19.0279540Z Running test_cpp_extensions_jit 1/1 ... [2025-08-14 21:07:18.799754]
2025-08-14T21:07:19.0279820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:07:19.0280700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:07:18.800160]
2025-08-14T21:09:09.0009390Z 
2025-08-14T21:09:09.0009960Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_31dedf67ddad4354_.log
2025-08-14T21:09:09.0019260Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning
2025-08-14T21:09:09.0028120Z 
2025-08-14T21:09:09.0028260Z Running test_overrides 1/1 ... [2025-08-14 21:09:09.001445]
2025-08-14T21:09:09.0028570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:09:09.0029600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:09.001736]
2025-08-14T21:09:12.6049270Z 
2025-08-14T21:09:12.6054880Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_11a534db4e517372_.log
2025-08-14T21:09:12.6318330Z Running 1470 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_dtype___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_imag___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_cuda___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_ipu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_leaf___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_maia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_meta___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mkldnn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mps___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_mtia___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_nested___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_quantized___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_sparse_csr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_vulkan___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xla___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_is_xpu___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_itemsize___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_layout___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mH___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_mT___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_name___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_names___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_nbytes___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_ndim___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_output_nr___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_real___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_requires_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_retains_grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_shape___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_volatile___get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___add__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___and__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___array_wrap__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___bool__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___complex__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___contains__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___cuda_array_interface_____get__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___deepcopy__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___div__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___dlpack_device__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___eq__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___float__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___floordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___format__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ge__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___getitem__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___gt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iadd__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___iand__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___idiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ifloordiv__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ilshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imod__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___imul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___index__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___int__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___invert__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ior__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___irshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___isub__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___ixor__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___le__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___len__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___long__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lshift__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___lt__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___matmul__, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor___mod__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_view_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_where, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xlogy_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_xpu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_zero_, test/test_overrides.py::TestTorchFunctionOverride::test_base, test/test_overrides.py::TestTorchFunctionOverride::test_dtype_override, test/test_overrides.py::TestTorchFunctionOverride::test_grad, test/test_overrides.py::TestTorchFunctionOverride::test_has_torch_function_non_sequence, test/test_overrides.py::TestTorchFunctionOverride::test_mean_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ihfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_irfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_rfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cholesky_ex, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cond, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eig, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvals, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_eigvalsh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_householder_product, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_matrix_rank, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_multi_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_pinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__linalg_linalg_solve_ex, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch__sym_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch__values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_linear_prepack, test/test_overrides.py::TestTorchFunctionOverride::test_torch__wrapped_quantized_linear_prepacked, test/test_overrides.py::TestTorchFunctionOverride::test_torch_abs, test/test_overrides.py::TestTorchFunctionOverride::test_torch_absolute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_acosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_grid_sample, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gumbel_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hardtanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_huber_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_interpolate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_l1_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_kaiming_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_init_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_torch_norm_except_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nuclear_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_numel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ones_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_outer, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_smm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_split_with_sizes_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_square, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_squeeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std, test/test_overrides.py::TestTorchFunctionOverride::test_torch_std_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_svd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_float, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_int, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_ite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sym_sum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t, test/test_overrides.py::TestTorchFunctionOverride::test_torch_t_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take, test/test_overrides.py::TestTorchFunctionOverride::test_torch_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unflatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unfold_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unsqueeze_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_values_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var, test/test_overrides.py::TestTorchFunctionOverride::test_torch_var_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vdot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_complex_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_as_real_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_view_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_vstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_where, test/test_overrides.py::TestTorchFunctionOverride::test_torch_xlogy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_zeros_like, test/test_overrides.py::TestTorchFunctionOverride::test_user_implementation_raises, test/test_overrides.py::TestEinsumOverride::test_wrapper, test/test_overrides.py::TestGradCheckOverride::test_gradcheck, test/test_overrides.py::TestNamedTuple::test_max, test/test_overrides.py::TestGradNewOnesOverride::test_newones, test/test_overrides.py::TestPickle::test_pickle, test/test_overrides.py::TestBroadcastAllOverride::test_broadcast_all, test/test_overrides.py::TestWrapTorchFunction::test_wrap_torch_function, test/test_overrides.py::TestIndexing::test_getitem, test/test_overrides.py::TestIndexing::test_getitem_subclass, test/test_overrides.py::TestIndexing::test_setitem, test/test_overrides.py::TestIndexing::test_setitem_subclass, test/test_overrides.py::TestIndexing::test_setitem_val, test/test_overrides.py::TestIterator::test_iterator, test/test_overrides.py::TestRNN::test_rnn, test/test_overrides.py::TestDisabledTorchFunction::test_parameter_does_not_prevent_dispatch, test/test_overrides.py::TestResolveName::test_resolve_name, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_standalone_class, test/test_overrides.py::TestTorchFunctionWarning::test_warn_on_invalid_torch_function_tensor_subclass, test/test_overrides.py::TestDisabledUserWarnings::test_no_implicit_user_warning_for_deprecated_functions, test/test_overrides.py::TestTorchFunctionMode::test_all_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_basic, test/test_overrides.py::TestTorchFunctionMode::test_custom_device_type, test/test_overrides.py::TestTorchFunctionMode::test_device_context_semantics, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_subclass, test/test_overrides.py::TestTorchFunctionMode::test_disable_enable_torch_function_ctx, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_mode, test/test_overrides.py::TestTorchFunctionMode::test_disable_subclass_not_mode, test/test_overrides.py::TestTorchFunctionMode::test_distributions_bernoulli, test/test_overrides.py::TestTorchFunctionMode::test_error_using_class_method_on_mode, test/test_overrides.py::TestTorchFunctionMode::test_factory_override, test/test_overrides.py::TestTorchFunctionMode::test_get_cur_mode, test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-08-14T21:09:12.6576120Z 
2025-08-14T21:09:12.6576240Z Running nn/test_pooling 1/1 ... [2025-08-14 21:09:12.606144]
2025-08-14T21:09:12.6576500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:09:12.6577190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:12.606412]
2025-08-14T21:09:32.5254890Z 
2025-08-14T21:09:32.5255580Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_12caa3c577ad2b38_.log
2025-08-14T21:09:32.5311410Z Running 198 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool2d_empty_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AvgPool3d_backward_after_cat_dim1_device_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool2d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_errors_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_batch_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_out_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool2d_empty_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool3d_backward_after_cat_dim1_device_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_errors_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case10_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case4_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case5_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case6_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case7_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case8_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case9_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool2d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool3d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_max_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pool_odd_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool3d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_indices_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_with_indices_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool3d_non_square_backward_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool_indices_no_batch_dim_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_large_size_int64_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_size_one_feature_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_invalid_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_large_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_bfloat16_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_large_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_zero_stride_mps
2025-08-14T21:09:32.5364220Z 
2025-08-14T21:09:32.5364380Z Running test_cuda_primary_ctx 1/1 ... [2025-08-14 21:09:32.526116]
2025-08-14T21:09:32.5364680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:09:32.5365590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:32.526451]
2025-08-14T21:09:34.3452680Z 
2025-08-14T21:09:34.3453340Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_663c8d73627e260a_.log
2025-08-14T21:09:34.3454060Z Running 0 items in this shard:
2025-08-14T21:09:34.3454190Z 
2025-08-14T21:09:34.3457080Z Running test_mobile_optimizer 1/1 ... [2025-08-14 21:09:34.345633]
2025-08-14T21:09:34.3457360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:09:34.3460100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:34.345901]
2025-08-14T21:09:36.3503300Z 
2025-08-14T21:09:36.3503900Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_5b9f7d2f28522be2_.log
2025-08-14T21:09:36.3505720Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures
2025-08-14T21:09:36.3507250Z 
2025-08-14T21:09:36.3507480Z Running test_multiprocessing_spawn 1/1 ... [2025-08-14 21:09:36.350682]
2025-08-14T21:09:36.3507760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:09:36.3510400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:09:36.350947]
2025-08-14T21:12:31.6115350Z 
2025-08-14T21:12:31.6115970Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_aa145c5418c64964_.log
2025-08-14T21:12:31.6123280Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_5, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable
2025-08-14T21:12:31.6129980Z 
2025-08-14T21:12:31.6130110Z Running nn/test_convolution 1/1 ... [2025-08-14 21:12:31.611971]
2025-08-14T21:12:31.6130390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:12:31.6131170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:12:31.612282]
2025-08-14T21:14:35.5176650Z 
2025-08-14T21:14:35.5177990Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_6d784c256bf7e05c_.log
2025-08-14T21:14:35.5556290Z Running 1151 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_ic1_channels_last_for_oneDNN_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_batch_1_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_large_nosplit_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_and_bias_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_noncontig_weights_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_thnn_nhwc_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_convTranspose_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_group_conv_empty_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_noncontig_conv_grad_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_backward_depthwise_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_3_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose3d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_contig_wrong_stride_cudnn_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_no_grad_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv2d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_64bit_indexing_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_large_batch_1_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_valid_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_same_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv3d_vs_scipy_mode_valid_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convTranspose_empty_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise2d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cuda_depthwise3d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn1d_transposed_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_cudnn2d_has_bias_True_strided_False_contiguous_True_mps, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_no_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_stride_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_double_backward_strided_with_3D_input_and_weight_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_empty_channel_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_ic1_channels_last_for_oneDNN_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_batch_1_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_large_nosplit_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_and_bias_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_noncontig_weights_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_thnn_nhwc_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose2d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_transposed_large_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv2d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_convert_conv3d_weight_memory_format_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_cudnn_convolution_add_relu_mps_float16, 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2025-08-14T21:14:35.5915790Z 
2025-08-14T21:14:35.5915930Z Running test_spectral_ops 1/1 ... [2025-08-14 21:14:35.519206]
2025-08-14T21:14:35.5916190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:14:35.5916890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:14:35.519524]
2025-08-14T21:14:40.6347090Z 
2025-08-14T21:14:40.6347660Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_cf16a3bde1ba8b2e_.log
2025-08-14T21:14:40.6411170Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft2_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfft_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_hfftn_cpu_float32, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_ifft2_cpu_float32, 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2025-08-14T21:14:40.6466720Z 
2025-08-14T21:14:40.6466910Z Running distributions/test_distributions 1/1 ... [2025-08-14 21:14:40.635345]
2025-08-14T21:14:40.6467240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:14:40.6468070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:14:40.635675]
2025-08-14T21:15:02.0292000Z 
2025-08-14T21:15:02.0292690Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_332bcb43f1fc2577_.log
2025-08-14T21:15:02.0352210Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, test/distributions/test_distributions.py::TestDistributions::test_binomial_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_binomial_extreme_vals, test/distributions/test_distributions.py::TestDistributions::test_binomial_half, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_binomial_sample, test/distributions/test_distributions.py::TestDistributions::test_binomial_stable, test/distributions/test_distributions.py::TestDistributions::test_binomial_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_cauchy, test/distributions/test_distributions.py::TestDistributions::test_cdf_icdf_inverse, test/distributions/test_distributions.py::TestDistributions::test_cdf_log_prob, test/distributions/test_distributions.py::TestDistributions::test_chi2_sample, test/distributions/test_distributions.py::TestDistributions::test_chi2_shape, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_continuous_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_log_prob_zero, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_mode, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_sample, test/distributions/test_distributions.py::TestDistributions::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributions::test_distribution_expand, test/distributions/test_distributions.py::TestDistributions::test_distribution_subclass_expand, test/distributions/test_distributions.py::TestDistributions::test_enumerate_support_type, test/distributions/test_distributions.py::TestDistributions::test_exponential, test/distributions/test_distributions.py::TestDistributions::test_exponential_sample, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor, test/distributions/test_distributions.py::TestDistributions::test_fishersnedecor_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_gamma_gpu_shape, test/distributions/test_distributions.py::TestDistributions::test_gamma_log_prob_at_boundary, test/distributions/test_distributions.py::TestDistributions::test_gamma_sample, 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test/distributions/test_distributions.py::TestDistributions::test_has_examples, test/distributions/test_distributions.py::TestDistributions::test_independent_expand, test/distributions/test_distributions.py::TestDistributions::test_independent_shape, test/distributions/test_distributions.py::TestDistributions::test_invalid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_inversegamma, test/distributions/test_distributions.py::TestDistributions::test_inversegamma_sample, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_mean_variance, test/distributions/test_distributions.py::TestDistributions::test_kumaraswamy_shape, test/distributions/test_distributions.py::TestDistributions::test_laplace, test/distributions/test_distributions.py::TestDistributions::test_laplace_sample, test/distributions/test_distributions.py::TestDistributions::test_lazy_property_grad, test/distributions/test_distributions.py::TestDistributions::test_lkj_cholesky_log_prob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_logisticnormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lognormal, test/distributions/test_distributions.py::TestDistributions::test_lognormal_logprob, test/distributions/test_distributions.py::TestDistributions::test_lognormal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_lowrank_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_sample, test/distributions/test_distributions.py::TestDistributions::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributions::test_mode, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_1d_log_prob_and_entropy, test/distributions/test_distributions.py::TestDistributions::test_multinomial_2d, test/distributions/test_distributions.py::TestDistributions::test_multinomial_sequential_draw, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_log_prob, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_moments, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_properties, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_shape, test/distributions/test_distributions.py::TestDistributions::test_multivariate_normal_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob, test/distributions/test_distributions.py::TestDistributions::test_negative_binomial_log_prob_vectorized_count, test/distributions/test_distributions.py::TestDistributions::test_normal, test/distributions/test_distributions.py::TestDistributions::test_normal_sample, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_one_hot_categorical_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_pareto, test/distributions/test_distributions.py::TestDistributions::test_pareto_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_forward_ad, test/distributions/test_distributions.py::TestDistributions::test_poisson_gpu_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_log_prob, test/distributions/test_distributions.py::TestDistributions::test_poisson_sample, test/distributions/test_distributions.py::TestDistributions::test_poisson_shape, test/distributions/test_distributions.py::TestDistributions::test_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_1d, test/distributions/test_distributions.py::TestDistributions::test_relaxed_one_hot_categorical_2d, test/distributions/test_distributions.py::TestDistributions::test_repr, test/distributions/test_distributions.py::TestDistributions::test_rounded_relaxed_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_rsample_requires_grad, test/distributions/test_distributions.py::TestDistributions::test_sample_detached, test/distributions/test_distributions.py::TestDistributions::test_studentT, test/distributions/test_distributions.py::TestDistributions::test_studentT_log_prob, test/distributions/test_distributions.py::TestDistributions::test_studentT_sample, test/distributions/test_distributions.py::TestDistributions::test_support_attributes, test/distributions/test_distributions.py::TestDistributions::test_torch_binomial_dtype_errors, test/distributions/test_distributions.py::TestDistributions::test_uniform, test/distributions/test_distributions.py::TestDistributions::test_valid_parameter_broadcasting, test/distributions/test_distributions.py::TestDistributions::test_vonmises_logprob, test/distributions/test_distributions.py::TestDistributions::test_vonmises_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_log_prob, test/distributions/test_distributions.py::TestDistributions::test_wishart_moments, test/distributions/test_distributions.py::TestDistributions::test_wishart_properties, test/distributions/test_distributions.py::TestDistributions::test_wishart_sample, test/distributions/test_distributions.py::TestDistributions::test_wishart_shape, test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance
2025-08-14T21:15:02.0405720Z 
2025-08-14T21:15:02.0405850Z Running test_autoload_enable 1/1 ... [2025-08-14 21:15:02.029737]
2025-08-14T21:15:03.4207030Z running install
2025-08-14T21:15:03.4221360Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:15:03.4221920Z !!
2025-08-14T21:15:03.4221990Z 
2025-08-14T21:15:03.4222100Z         ********************************************************************************
2025-08-14T21:15:03.4222340Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:15:03.4222610Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:15:03.4222830Z         standards-based tools.
2025-08-14T21:15:03.4222950Z 
2025-08-14T21:15:03.4223140Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:15:03.4223480Z         ********************************************************************************
2025-08-14T21:15:03.4223640Z 
2025-08-14T21:15:03.4223680Z !!
2025-08-14T21:15:03.4223810Z   self.initialize_options()
2025-08-14T21:15:03.4304010Z running build
2025-08-14T21:15:03.4304260Z running build_py
2025-08-14T21:15:03.4354690Z creating build
2025-08-14T21:15:03.4356070Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-14T21:15:03.4356740Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:15:03.4357810Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:15:03.4366570Z running build_ext
2025-08-14T21:15:03.4388910Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T21:15:03.4389290Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-14T21:15:03.4392580Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T21:15:10.1001250Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-14T21:15:10.1431970Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T21:15:10.1435220Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T21:15:16.6150640Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-14T21:15:16.6585250Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T21:15:16.6588350Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T21:15:23.8277450Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-14T21:15:23.8714020Z building 'torch_test_cpp_extension.mps' extension
2025-08-14T21:15:23.8717290Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-14T21:15:27.5129240Z In file included from mps_extension.mm:2:
2025-08-14T21:15:27.5129850Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-14T21:15:27.5130900Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-14T21:15:27.5131720Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-14T21:15:27.5137160Z   ^
2025-08-14T21:15:27.5138030Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-14T21:15:27.5139370Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-14T21:15:27.5139630Z            ^
2025-08-14T21:15:27.5140180Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-14T21:15:27.5140770Z class TORCH_API MPSStream {
2025-08-14T21:15:27.5140920Z                 ^
2025-08-14T21:15:27.5141060Z       API_AVAILABLE(macos(12.0))
2025-08-14T21:15:30.2970600Z 1 warning generated.
2025-08-14T21:15:30.3073900Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-14T21:15:30.3525030Z running install_lib
2025-08-14T21:15:30.3576390Z creating install
2025-08-14T21:15:30.3576850Z creating install/Users
2025-08-14T21:15:30.3577410Z creating install/Users/ec2-user
2025-08-14T21:15:30.3577980Z creating install/Users/ec2-user/runner
2025-08-14T21:15:30.3578520Z creating install/Users/ec2-user/runner/_work
2025-08-14T21:15:30.3579060Z creating install/Users/ec2-user/runner/_work/_temp
2025-08-14T21:15:30.3579580Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T21:15:30.3580130Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib
2025-08-14T21:15:30.3580650Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12
2025-08-14T21:15:30.3581160Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages
2025-08-14T21:15:30.3582450Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3583340Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3593560Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3595580Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/__init__.py -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3597350Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3600290Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:15:30.3614160Z byte-compiling ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension/__init__.py to __init__.cpython-312.pyc
2025-08-14T21:15:30.3617160Z running install_egg_info
2025-08-14T21:15:30.3775960Z running egg_info
2025-08-14T21:15:30.3776320Z creating torch_test_cpp_extension.egg-info
2025-08-14T21:15:30.3803760Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T21:15:30.3807320Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T21:15:30.3808420Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T21:15:30.3810210Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T21:15:30.3811170Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:15:30.3840990Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:15:30.3844280Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:15:30.3845530Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-14T21:15:30.3854350Z running install_scripts
2025-08-14T21:15:32.1292610Z 
2025-08-14T21:15:32.1292910Z Running tests...
2025-08-14T21:15:32.1293160Z ----------------------------------------------------------------------
2025-08-14T21:15:32.2219770Z .
2025-08-14T21:15:32.2220010Z ----------------------------------------------------------------------
2025-08-14T21:15:32.2220270Z Ran 1 test in 0.093s
2025-08-14T21:15:32.2220370Z 
2025-08-14T21:15:32.2220430Z OK
2025-08-14T21:15:32.2220500Z 
2025-08-14T21:15:32.2220560Z Generating XML reports...
2025-08-14T21:15:32.5601200Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-08-14 21:15:32.559993]
2025-08-14T21:15:33.9594410Z running install
2025-08-14T21:15:33.9595440Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:15:33.9595990Z !!
2025-08-14T21:15:33.9596060Z 
2025-08-14T21:15:33.9596150Z         ********************************************************************************
2025-08-14T21:15:33.9596390Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:15:33.9596640Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:15:33.9596870Z         standards-based tools.
2025-08-14T21:15:33.9596990Z 
2025-08-14T21:15:33.9597180Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:15:33.9597760Z         ********************************************************************************
2025-08-14T21:15:33.9597930Z 
2025-08-14T21:15:33.9597980Z !!
2025-08-14T21:15:33.9598100Z   self.initialize_options()
2025-08-14T21:15:33.9665910Z running build
2025-08-14T21:15:33.9666110Z running build_py
2025-08-14T21:15:33.9695560Z creating build
2025-08-14T21:15:33.9696200Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-14T21:15:33.9696790Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:15:33.9697510Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:15:33.9700710Z running build_ext
2025-08-14T21:15:33.9708860Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T21:15:33.9709270Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-14T21:15:33.9712510Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T21:15:40.6260640Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-14T21:15:40.6689520Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T21:15:40.6692660Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T21:15:47.1561830Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-14T21:15:47.2000310Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T21:15:47.2003540Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T21:15:54.3167820Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-14T21:15:54.3595150Z building 'torch_test_cpp_extension.mps' extension
2025-08-14T21:15:54.3598620Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-14T21:15:57.9933150Z In file included from mps_extension.mm:2:
2025-08-14T21:15:57.9933740Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-14T21:15:57.9934760Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-14T21:15:57.9936020Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-14T21:15:57.9936270Z   ^
2025-08-14T21:15:57.9937050Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-14T21:15:57.9937960Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-14T21:15:57.9938250Z            ^
2025-08-14T21:15:57.9938790Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-14T21:15:57.9939370Z class TORCH_API MPSStream {
2025-08-14T21:15:57.9939530Z                 ^
2025-08-14T21:15:57.9939670Z       API_AVAILABLE(macos(12.0))
2025-08-14T21:16:00.7855960Z 1 warning generated.
2025-08-14T21:16:00.7958590Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-14T21:16:00.8388510Z running install_lib
2025-08-14T21:16:00.8425880Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:00.8430470Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:00.8433400Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:00.8436930Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:00.8442350Z running install_egg_info
2025-08-14T21:16:00.8514630Z running egg_info
2025-08-14T21:16:00.8539970Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T21:16:00.8544150Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T21:16:00.8545520Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T21:16:00.8546720Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T21:16:00.8576130Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:16:00.8579700Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:16:00.8580540Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-14T21:16:00.8584640Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-14T21:16:00.8593220Z running install_scripts
2025-08-14T21:16:02.0450950Z running install
2025-08-14T21:16:02.0452110Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:16:02.0452950Z !!
2025-08-14T21:16:02.0453020Z 
2025-08-14T21:16:02.0453110Z         ********************************************************************************
2025-08-14T21:16:02.0453350Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:16:02.0453590Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:16:02.0453810Z         standards-based tools.
2025-08-14T21:16:02.0453920Z 
2025-08-14T21:16:02.0454120Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:16:02.0454430Z         ********************************************************************************
2025-08-14T21:16:02.0454580Z 
2025-08-14T21:16:02.0454620Z !!
2025-08-14T21:16:02.0454730Z   self.initialize_options()
2025-08-14T21:16:02.0517090Z running build
2025-08-14T21:16:02.0517350Z running build_ext
2025-08-14T21:16:02.0835580Z building 'no_python_abi_suffix_test' extension
2025-08-14T21:16:02.0836030Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build
2025-08-14T21:16:02.0836700Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:02.1571870Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/no_python_abi_suffix_test.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=no_python_abi_suffix_test -std=c++17
2025-08-14T21:16:02.1606970Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:02.1609380Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-08-14T21:16:02.2019850Z running install_lib
2025-08-14T21:16:02.2055940Z creating install
2025-08-14T21:16:02.2056350Z creating install/Users
2025-08-14T21:16:02.2056970Z creating install/Users/ec2-user
2025-08-14T21:16:02.2057520Z creating install/Users/ec2-user/runner
2025-08-14T21:16:02.2058040Z creating install/Users/ec2-user/runner/_work
2025-08-14T21:16:02.2058650Z creating install/Users/ec2-user/runner/_work/_temp
2025-08-14T21:16:02.2059200Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T21:16:02.2059680Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib
2025-08-14T21:16:02.2060250Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12
2025-08-14T21:16:02.2060850Z creating install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages
2025-08-14T21:16:02.2061730Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages
2025-08-14T21:16:02.2066680Z running install_egg_info
2025-08-14T21:16:02.2144400Z running egg_info
2025-08-14T21:16:02.2144630Z creating no_python_abi_suffix_test.egg-info
2025-08-14T21:16:02.2170770Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-14T21:16:02.2174530Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-14T21:16:02.2175750Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-14T21:16:02.2176930Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T21:16:02.2204580Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T21:16:02.2207320Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T21:16:02.2208410Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-08-14T21:16:02.2215590Z running install_scripts
2025-08-14T21:16:02.4302700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:16:02.4307090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:16:02.430593]
2025-08-14T21:16:04.6129690Z 
2025-08-14T21:16:04.6130320Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_df3d742c0341b0e1_.log
2025-08-14T21:16:04.6135160Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library
2025-08-14T21:16:04.6139420Z 
2025-08-14T21:16:04.6139550Z Running test_autoload_disable 1/1 ... [2025-08-14 21:16:04.613500]
2025-08-14T21:16:06.0044400Z running install
2025-08-14T21:16:06.0045260Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:16:06.0045820Z !!
2025-08-14T21:16:06.0045890Z 
2025-08-14T21:16:06.0046290Z         ********************************************************************************
2025-08-14T21:16:06.0046520Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:16:06.0046770Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:16:06.0046990Z         standards-based tools.
2025-08-14T21:16:06.0047100Z 
2025-08-14T21:16:06.0047290Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:16:06.0047610Z         ********************************************************************************
2025-08-14T21:16:06.0047760Z 
2025-08-14T21:16:06.0047800Z !!
2025-08-14T21:16:06.0047920Z   self.initialize_options()
2025-08-14T21:16:06.0115410Z running build
2025-08-14T21:16:06.0115580Z running build_py
2025-08-14T21:16:06.0145490Z creating build
2025-08-14T21:16:06.0146100Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:06.0146680Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:16:06.0147400Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:16:06.0150670Z running build_ext
2025-08-14T21:16:06.0158760Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T21:16:06.0159200Z creating build/temp.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:06.0162400Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T21:16:12.6759870Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-14T21:16:12.7184120Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T21:16:12.7187390Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c maia_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T21:16:19.1868010Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-14T21:16:19.2296750Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T21:16:19.2299790Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c rng_extension.cpp -o build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T21:16:26.3504900Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-14T21:16:26.3935050Z building 'torch_test_cpp_extension.mps' extension
2025-08-14T21:16:26.3938170Z clang -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -Iself_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c mps_extension.mm -o build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE=\"_clang\" -DPYBIND11_STDLIB=\"_libcpp\" -DPYBIND11_BUILD_ABI=\"_cxxabi1002\" -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-14T21:16:30.0420830Z In file included from mps_extension.mm:2:
2025-08-14T21:16:30.0421400Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-14T21:16:30.0422440Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-14T21:16:30.0423240Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-14T21:16:30.0423510Z   ^
2025-08-14T21:16:30.0424550Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-14T21:16:30.0425500Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-14T21:16:30.0425800Z            ^
2025-08-14T21:16:30.0426350Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-14T21:16:30.0426930Z class TORCH_API MPSStream {
2025-08-14T21:16:30.0427080Z                 ^
2025-08-14T21:16:30.0427220Z       API_AVAILABLE(macos(12.0))
2025-08-14T21:16:32.8365840Z 1 warning generated.
2025-08-14T21:16:32.8469040Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-14T21:16:32.8892550Z running install_lib
2025-08-14T21:16:32.8930340Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:32.8935130Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:32.8938280Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:32.8941820Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:16:32.8947710Z running install_egg_info
2025-08-14T21:16:32.9020860Z running egg_info
2025-08-14T21:16:32.9047180Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T21:16:32.9051560Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T21:16:32.9052650Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T21:16:32.9054000Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T21:16:32.9083790Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:16:32.9087410Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:16:32.9093070Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-14T21:16:32.9094020Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-14T21:16:32.9101320Z running install_scripts
2025-08-14T21:16:34.6126960Z 
2025-08-14T21:16:34.6127250Z Running tests...
2025-08-14T21:16:34.6127500Z ----------------------------------------------------------------------
2025-08-14T21:16:34.7042850Z .
2025-08-14T21:16:34.7043100Z ----------------------------------------------------------------------
2025-08-14T21:16:34.7043350Z Ran 1 test in 0.092s
2025-08-14T21:16:34.7043450Z 
2025-08-14T21:16:34.7043500Z OK
2025-08-14T21:16:34.7043560Z 
2025-08-14T21:16:34.7043620Z Generating XML reports...
2025-08-14T21:16:35.0368470Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-08-14 21:16:35.036692]
2025-08-14T21:16:35.0772660Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-14T21:16:35.0773020Z Uploading artifacts took 0.00 seconds
2025-08-14T21:16:36.4689460Z running install
2025-08-14T21:16:36.4690380Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:16:36.4690930Z !!
2025-08-14T21:16:36.4691000Z 
2025-08-14T21:16:36.4691090Z         ********************************************************************************
2025-08-14T21:16:36.4691330Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:16:36.4691580Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:16:36.4691800Z         standards-based tools.
2025-08-14T21:16:36.4691910Z 
2025-08-14T21:16:36.4692100Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:16:36.4692440Z         ********************************************************************************
2025-08-14T21:16:36.4693190Z 
2025-08-14T21:16:36.4693230Z !!
2025-08-14T21:16:36.4693350Z   self.initialize_options()
2025-08-14T21:16:36.4760080Z running build
2025-08-14T21:16:36.4760300Z running build_py
2025-08-14T21:16:36.4789780Z creating build
2025-08-14T21:16:36.4790380Z creating build/lib.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:36.4790990Z creating build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:16:36.4791750Z copying torch_test_cpp_extension/__init__.py -> build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension
2025-08-14T21:16:36.4794990Z running build_ext
2025-08-14T21:16:36.5102350Z building 'torch_test_cpp_extension.cpp' extension
2025-08-14T21:16:36.5102840Z creating /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312
2025-08-14T21:16:43.2353300Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=cpp -std=c++17
2025-08-14T21:16:43.2466760Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so
2025-08-14T21:16:43.2904320Z building 'torch_test_cpp_extension.maia' extension
2025-08-14T21:16:49.8437250Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/maia_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=maia -std=c++17
2025-08-14T21:16:49.8474930Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/maia_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so
2025-08-14T21:16:49.8905730Z building 'torch_test_cpp_extension.rng' extension
2025-08-14T21:16:57.1118800Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/rng_extension.cpp -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=rng -std=c++17
2025-08-14T21:16:57.1158380Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/rng_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so
2025-08-14T21:16:57.1581960Z building 'torch_test_cpp_extension.mps' extension
2025-08-14T21:17:03.6762530Z [1/1] clang++ -MMD -MF /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o.d -fno-strict-overflow -Wsign-compare -Wunreachable-code -fno-common -dynamic -DNDEBUG -g -O3 -Wall -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -I/Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/self_compiler_include_dirs_test -I/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/include -I/opt/homebrew/opt/python@3.12/Frameworks/Python.framework/Versions/3.12/include/python3.12 -c -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm -o /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -g -DTORCH_API_INCLUDE_EXTENSION_H '-DPYBIND11_COMPILER_TYPE="_clang"' '-DPYBIND11_STDLIB="_libcpp"' '-DPYBIND11_BUILD_ABI="_cxxabi1002"' -DTORCH_EXTENSION_NAME=mps -std=c++17
2025-08-14T21:17:03.6766000Z In file included from /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/mps_extension.mm:2:
2025-08-14T21:17:03.6766650Z In file included from /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/native/mps/OperationUtils.h:10:
2025-08-14T21:17:03.6767640Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:120:3: warning: 'MPSGraphCompilationDescriptor' is only available on macOS 12.0 or newer [-Wunguarded-availability-new]
2025-08-14T21:17:03.6768400Z   MPSGraphCompilationDescriptor* _compilationDescriptor = nil;
2025-08-14T21:17:03.6768650Z   ^
2025-08-14T21:17:03.6769400Z /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks/MetalPerformanceShadersGraph.framework/Headers/MPSGraph.h:94:12: note: 'MPSGraphCompilationDescriptor' has been marked as being introduced in macOS 12.0 here, but the deployment target is macOS 11.1.0
2025-08-14T21:17:03.6770490Z @interface MPSGraphCompilationDescriptor : MPSGraphObject <NSCopying>
2025-08-14T21:17:03.6770750Z            ^
2025-08-14T21:17:03.6771280Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/ATen/mps/MPSStream.h:54:17: note: annotate 'MPSStream' with an availability attribute to silence this warning
2025-08-14T21:17:03.6771860Z class TORCH_API MPSStream {
2025-08-14T21:17:03.6772020Z                 ^
2025-08-14T21:17:03.6772160Z       API_AVAILABLE(macos(12.0))
2025-08-14T21:17:03.6772330Z 1 warning generated.
2025-08-14T21:17:03.6801120Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/build/temp.macosx-14.0-arm64-cpython-312/mps_extension.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so
2025-08-14T21:17:03.7232480Z running install_lib
2025-08-14T21:17:03.7270140Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/cpp.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:17:03.7274440Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/mps.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:17:03.7277480Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/rng.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:17:03.7280700Z copying build/lib.macosx-14.0-arm64-cpython-312/torch_test_cpp_extension/maia.cpython-312-darwin.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension
2025-08-14T21:17:03.7286130Z running install_egg_info
2025-08-14T21:17:03.7358850Z running egg_info
2025-08-14T21:17:03.7384310Z writing torch_test_cpp_extension.egg-info/PKG-INFO
2025-08-14T21:17:03.7388510Z writing dependency_links to torch_test_cpp_extension.egg-info/dependency_links.txt
2025-08-14T21:17:03.7389560Z writing entry points to torch_test_cpp_extension.egg-info/entry_points.txt
2025-08-14T21:17:03.7391110Z writing top-level names to torch_test_cpp_extension.egg-info/top_level.txt
2025-08-14T21:17:03.7421200Z reading manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:17:03.7424900Z writing manifest file 'torch_test_cpp_extension.egg-info/SOURCES.txt'
2025-08-14T21:17:03.7432810Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-14T21:17:03.7436790Z Copying torch_test_cpp_extension.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch_test_cpp_extension-0.0.0-py3.12.egg-info
2025-08-14T21:17:03.7445370Z running install_scripts
2025-08-14T21:17:04.9352890Z running install
2025-08-14T21:17:04.9354090Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.
2025-08-14T21:17:04.9354630Z !!
2025-08-14T21:17:04.9354710Z 
2025-08-14T21:17:04.9354800Z         ********************************************************************************
2025-08-14T21:17:04.9355050Z         Please avoid running ``setup.py`` directly.
2025-08-14T21:17:04.9355300Z         Instead, use pypa/build, pypa/installer or other
2025-08-14T21:17:04.9355850Z         standards-based tools.
2025-08-14T21:17:04.9355960Z 
2025-08-14T21:17:04.9356150Z         See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.
2025-08-14T21:17:04.9356500Z         ********************************************************************************
2025-08-14T21:17:04.9356640Z 
2025-08-14T21:17:04.9356690Z !!
2025-08-14T21:17:04.9356800Z   self.initialize_options()
2025-08-14T21:17:04.9420350Z running build
2025-08-14T21:17:04.9420550Z running build_ext
2025-08-14T21:17:04.9738530Z building 'no_python_abi_suffix_test' extension
2025-08-14T21:17:05.0276510Z ninja: no work to do.
2025-08-14T21:17:05.0310840Z clang++ -bundle -undefined dynamic_lookup -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test/build/temp.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.o -L/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib -lc10 -ltorch -ltorch_cpu -ltorch_python -o build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so
2025-08-14T21:17:05.0715830Z running install_lib
2025-08-14T21:17:05.0752040Z copying build/lib.macosx-14.0-arm64-cpython-312/no_python_abi_suffix_test.so -> ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages
2025-08-14T21:17:05.0757030Z running install_egg_info
2025-08-14T21:17:05.0835530Z running egg_info
2025-08-14T21:17:05.0861280Z writing no_python_abi_suffix_test.egg-info/PKG-INFO
2025-08-14T21:17:05.0865650Z writing dependency_links to no_python_abi_suffix_test.egg-info/dependency_links.txt
2025-08-14T21:17:05.0867190Z writing top-level names to no_python_abi_suffix_test.egg-info/top_level.txt
2025-08-14T21:17:05.0895460Z reading manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T21:17:05.0898950Z writing manifest file 'no_python_abi_suffix_test.egg-info/SOURCES.txt'
2025-08-14T21:17:05.0899650Z removing './install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info' (and everything under it)
2025-08-14T21:17:05.0903110Z Copying no_python_abi_suffix_test.egg-info to ./install/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/no_python_abi_suffix_test-0.0.0-py3.12.egg-info
2025-08-14T21:17:05.0910240Z running install_scripts
2025-08-14T21:17:05.3004520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:05.3008720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:05.300756]
2025-08-14T21:17:07.4712430Z 
2025-08-14T21:17:07.4713270Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_49e15c2431f96f5c_.log
2025-08-14T21:17:07.4717870Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library
2025-08-14T21:17:07.4722310Z 
2025-08-14T21:17:07.4722470Z Running inductor/test_kernel_benchmark 1/1 ... [2025-08-14 21:17:07.471804]
2025-08-14T21:17:07.4722760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:07.4723510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:07.472084]
2025-08-14T21:17:10.0630140Z 
2025-08-14T21:17:10.0630810Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_a9cd68642f4a811f_.log
2025-08-14T21:17:10.0631290Z 
2025-08-14T21:17:10.0634160Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-08-14 21:17:10.063329]
2025-08-14T21:17:10.0634520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:10.0637490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:10.063614]
2025-08-14T21:17:12.7071060Z 
2025-08-14T21:17:12.7071840Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_162d7855b0f15e36_.log
2025-08-14T21:17:12.7072590Z Running 0 items in this shard:
2025-08-14T21:17:12.7072740Z 
2025-08-14T21:17:12.7075860Z Running inductor/test_cpu_repro 1/1 ... [2025-08-14 21:17:12.707518]
2025-08-14T21:17:12.7076180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:12.7079350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:12.707818]
2025-08-14T21:17:15.0598670Z 
2025-08-14T21:17:15.0599240Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_909e348c5a6ba8db_.log
2025-08-14T21:17:15.0599680Z 
2025-08-14T21:17:15.0602720Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-14 21:17:15.060197]
2025-08-14T21:17:15.0603010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:15.0605990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:15.060487]
2025-08-14T21:17:17.2877470Z 
2025-08-14T21:17:17.2878120Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_5e9bce459a75dd48_.log
2025-08-14T21:17:17.2878970Z 
2025-08-14T21:17:17.2881770Z Running inductor/test_triton_wrapper 1/1 ... [2025-08-14 21:17:17.288101]
2025-08-14T21:17:17.2882080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:17.2884870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:17.288375]
2025-08-14T21:17:19.4912670Z 
2025-08-14T21:17:19.4913260Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_39adb9b1350b0b50_.log
2025-08-14T21:17:19.4913730Z 
2025-08-14T21:17:19.4916840Z Running inductor/test_select_algorithm 1/1 ... [2025-08-14 21:17:19.491599]
2025-08-14T21:17:19.4917140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:19.4919520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:19.491865]
2025-08-14T21:17:21.7110350Z 
2025-08-14T21:17:21.7111020Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_b0701d363fde99b7_.log
2025-08-14T21:17:21.7111500Z 
2025-08-14T21:17:21.7114540Z Running inductor/test_inductor_freezing 1/1 ... [2025-08-14 21:17:21.711366]
2025-08-14T21:17:21.7114860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:21.7117750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:21.711645]
2025-08-14T21:17:24.0779440Z 
2025-08-14T21:17:24.0780060Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_ff5234b1686fab9c_.log
2025-08-14T21:17:24.0780620Z Running 0 items in this shard:
2025-08-14T21:17:24.0780740Z 
2025-08-14T21:17:24.0783860Z Running inductor/test_snode_runtime 1/1 ... [2025-08-14 21:17:24.078307]
2025-08-14T21:17:24.0784170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:24.0786920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:24.078581]
2025-08-14T21:17:26.3039100Z 
2025-08-14T21:17:26.3039680Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_687066fc0bd56605_.log
2025-08-14T21:17:26.3040140Z 
2025-08-14T21:17:26.3042950Z Running dynamo/test_cudagraphs 1/1 ... [2025-08-14 21:17:26.304217]
2025-08-14T21:17:26.3043250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:26.3046080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:26.304498]
2025-08-14T21:17:28.0715000Z 
2025-08-14T21:17:28.0715580Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_f4cab67b95a1bbae_.log
2025-08-14T21:17:28.0716270Z 
2025-08-14T21:17:28.0719110Z Running inductor/test_halide 1/1 ... [2025-08-14 21:17:28.071840]
2025-08-14T21:17:28.0719380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:28.0722220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:28.072113]
2025-08-14T21:17:30.3692180Z 
2025-08-14T21:17:30.3692760Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_b4fa1e829ea20373_.log
2025-08-14T21:17:30.3693200Z 
2025-08-14T21:17:30.3696420Z Running inductor/test_triton_syntax 1/1 ... [2025-08-14 21:17:30.369563]
2025-08-14T21:17:30.3696710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:30.3699130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:30.369828]
2025-08-14T21:17:32.5810080Z 
2025-08-14T21:17:32.5810650Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_7391e0fb70a0949a_.log
2025-08-14T21:17:32.5811140Z 
2025-08-14T21:17:32.5814070Z Running inductor/test_multi_kernel 1/1 ... [2025-08-14 21:17:32.581334]
2025-08-14T21:17:32.5814360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:32.5817360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:32.581625]
2025-08-14T21:17:34.7995290Z 
2025-08-14T21:17:34.7995990Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_184d5a7f67999819_.log
2025-08-14T21:17:34.7996440Z 
2025-08-14T21:17:34.7999470Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-14 21:17:34.799851]
2025-08-14T21:17:34.7999800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:34.8002490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:34.800128]
2025-08-14T21:17:37.0974720Z 
2025-08-14T21:17:37.0975520Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_01057efd4236a6af_.log
2025-08-14T21:17:37.0976040Z 
2025-08-14T21:17:37.0978720Z Running inductor/test_online_softmax 1/1 ... [2025-08-14 21:17:37.097792]
2025-08-14T21:17:37.0979030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:37.0981830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:37.098071]
2025-08-14T21:17:39.3107220Z 
2025-08-14T21:17:39.3107850Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_3473cea2d1c2b18f_.log
2025-08-14T21:17:39.3108320Z 
2025-08-14T21:17:39.3111300Z Running inductor/test_metrics 1/1 ... [2025-08-14 21:17:39.311053]
2025-08-14T21:17:39.3111590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:39.3114130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:39.311314]
2025-08-14T21:17:41.5199770Z 
2025-08-14T21:17:41.5200360Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_a6d260769bdd105e_.log
2025-08-14T21:17:41.5200790Z 
2025-08-14T21:17:41.5204140Z Running inductor/test_autoheuristic 1/1 ... [2025-08-14 21:17:41.520331]
2025-08-14T21:17:41.5204450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:41.5207410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:41.520621]
2025-08-14T21:17:43.7452870Z 
2025-08-14T21:17:43.7453550Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_1060b8961b5e2a2a_.log
2025-08-14T21:17:43.7454020Z 
2025-08-14T21:17:43.7456940Z Running inductor/test_op_dtype_prop 1/1 ... [2025-08-14 21:17:43.745617]
2025-08-14T21:17:43.7457240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:43.7460060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:43.745889]
2025-08-14T21:17:46.5141580Z 
2025-08-14T21:17:46.5142400Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_8c51119c8357c5cd_.log
2025-08-14T21:17:46.5142870Z 
2025-08-14T21:17:46.5145510Z Running inductor/test_best_config 1/1 ... [2025-08-14 21:17:46.514477]
2025-08-14T21:17:46.5145800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:46.5148370Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:46.514758]
2025-08-14T21:17:48.7282400Z 
2025-08-14T21:17:48.7282980Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_557e89ce1178ba97_.log
2025-08-14T21:17:48.7283420Z 
2025-08-14T21:17:48.7286520Z Running inductor/test_profiler 1/1 ... [2025-08-14 21:17:48.728548]
2025-08-14T21:17:48.7286820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:48.7289380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:48.728828]
2025-08-14T21:17:50.9432920Z 
2025-08-14T21:17:50.9433540Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_c0e5644ca9ffcf5a_.log
2025-08-14T21:17:50.9433990Z 
2025-08-14T21:17:50.9436970Z Running dynamo/test_view 1/1 ... [2025-08-14 21:17:50.943619]
2025-08-14T21:17:50.9437250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:50.9439970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:50.943887]
2025-08-14T21:17:52.6903840Z 
2025-08-14T21:17:52.6904400Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_ac135ca9a6d22102_.log
2025-08-14T21:17:52.6904970Z Running 0 items in this shard:
2025-08-14T21:17:52.6905120Z 
2025-08-14T21:17:52.6908670Z Running inductor/test_helion_kernels 1/1 ... [2025-08-14 21:17:52.690800]
2025-08-14T21:17:52.6909000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:52.6912320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:52.691125]
2025-08-14T21:17:54.9899500Z 
2025-08-14T21:17:54.9900150Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_088998262591965f_.log
2025-08-14T21:17:54.9900730Z Running 0 items in this shard:
2025-08-14T21:17:54.9900870Z 
2025-08-14T21:17:54.9904210Z Running dynamo/test_list 1/1 ... [2025-08-14 21:17:54.990356]
2025-08-14T21:17:54.9904500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:54.9907550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:54.990655]
2025-08-14T21:17:56.8738500Z 
2025-08-14T21:17:56.8739180Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_7aea4abc8db82eea_.log
2025-08-14T21:17:56.8740090Z Running 0 items in this shard:
2025-08-14T21:17:56.8740270Z 
2025-08-14T21:17:56.8743870Z Running inductor/test_loop_ordering 1/1 ... [2025-08-14 21:17:56.874307]
2025-08-14T21:17:56.8744260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:56.8747750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:56.874648]
2025-08-14T21:17:59.1314200Z 
2025-08-14T21:17:59.1314870Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_a12e5f441487a6c5_.log
2025-08-14T21:17:59.1315350Z 
2025-08-14T21:17:59.1318050Z Running dynamo/test_utils 1/1 ... [2025-08-14 21:17:59.131745]
2025-08-14T21:17:59.1318530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:17:59.1320880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:17:59.132012]
2025-08-14T21:18:00.8943370Z 
2025-08-14T21:18:00.8943940Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_454b1fa27875d613_.log
2025-08-14T21:18:00.8944450Z Running 0 items in this shard:
2025-08-14T21:18:00.8944590Z 
2025-08-14T21:18:00.8947700Z Running inductor/test_ordered_set 1/1 ... [2025-08-14 21:18:00.894707]
2025-08-14T21:18:00.8948000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:00.8950850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:00.894985]
2025-08-14T21:18:02.7340810Z 
2025-08-14T21:18:02.7341470Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_71ad74c75df74b74_.log
2025-08-14T21:18:02.7342100Z Running 0 items in this shard:
2025-08-14T21:18:02.7342290Z 
2025-08-14T21:18:02.7345730Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-08-14 21:18:02.734494]
2025-08-14T21:18:02.7346140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:02.7349340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:02.734817]
2025-08-14T21:18:05.0906600Z 
2025-08-14T21:18:05.0907310Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_3b780ea01c6e92b7_.log
2025-08-14T21:18:05.0907900Z Running 0 items in this shard:
2025-08-14T21:18:05.0908020Z 
2025-08-14T21:18:05.0910630Z Running dynamo/test_dicts 1/1 ... [2025-08-14 21:18:05.091003]
2025-08-14T21:18:05.0910900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:05.0913570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_dicts.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:05.091261]
2025-08-14T21:18:06.9700940Z 
2025-08-14T21:18:06.9701930Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_f1209a9d89022989_.log
2025-08-14T21:18:06.9702600Z Running 0 items in this shard:
2025-08-14T21:18:06.9702780Z 
2025-08-14T21:18:06.9706440Z Running dynamo/test_install_free_tensors 1/1 ... [2025-08-14 21:18:06.970557]
2025-08-14T21:18:06.9706860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:06.9710420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:06.970919]
2025-08-14T21:18:08.8128240Z 
2025-08-14T21:18:08.8128900Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_490a6a521f1320fa_.log
2025-08-14T21:18:08.8129450Z Running 0 items in this shard:
2025-08-14T21:18:08.8129570Z 
2025-08-14T21:18:08.8132310Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-08-14 21:18:08.813162]
2025-08-14T21:18:08.8132610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:08.8135510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:08.813436]
2025-08-14T21:18:11.1198480Z 
2025-08-14T21:18:11.1199140Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_bf734e800b58ff8b_.log
2025-08-14T21:18:11.1199750Z Running 0 items in this shard:
2025-08-14T21:18:11.1199890Z 
2025-08-14T21:18:11.1203340Z Running dynamo/test_autograd_function 1/1 ... [2025-08-14 21:18:11.120265]
2025-08-14T21:18:11.1203660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:11.1206870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:11.120569]
2025-08-14T21:18:13.4098580Z 
2025-08-14T21:18:13.4099150Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_b9db62e9f6d0d38e_.log
2025-08-14T21:18:13.4099690Z Running 0 items in this shard:
2025-08-14T21:18:13.4099810Z 
2025-08-14T21:18:13.4102970Z Running export/test_cpp_serdes 1/1 ... [2025-08-14 21:18:13.410242]
2025-08-14T21:18:13.4103250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:13.4105920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_cpp_serdes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:13.410500]
2025-08-14T21:18:15.8486600Z 
2025-08-14T21:18:15.8487140Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_f112c732ed4e69b6_.log
2025-08-14T21:18:15.8487650Z Running 0 items in this shard:
2025-08-14T21:18:15.8487780Z 
2025-08-14T21:18:15.8490740Z Running dynamo/test_config 1/1 ... [2025-08-14 21:18:15.849021]
2025-08-14T21:18:15.8491010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:15.8493850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:15.849296]
2025-08-14T21:18:17.6747480Z 
2025-08-14T21:18:17.6748290Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_3d61958512932192_.log
2025-08-14T21:18:17.6748790Z Running 0 items in this shard:
2025-08-14T21:18:17.6748910Z 
2025-08-14T21:18:17.6751680Z Running export/test_package 1/1 ... [2025-08-14 21:18:17.675105]
2025-08-14T21:18:17.6751960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:17.6754590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:17.675364]
2025-08-14T21:18:19.4491600Z 
2025-08-14T21:18:19.4492210Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_a1b8bd8de8945d6e_.log
2025-08-14T21:18:19.4492810Z Running 0 items in this shard:
2025-08-14T21:18:19.4493140Z 
2025-08-14T21:18:19.4496620Z Running inductor/test_benchmarking 1/1 ... [2025-08-14 21:18:19.449586]
2025-08-14T21:18:19.4497010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:19.4500290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:19.449914]
2025-08-14T21:18:21.7689140Z 
2025-08-14T21:18:21.7689790Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_76aeca100f7fe845_.log
2025-08-14T21:18:21.7690400Z Running 0 items in this shard:
2025-08-14T21:18:21.7690550Z 
2025-08-14T21:18:21.7694270Z Running dynamo/test_reconstruct 1/1 ... [2025-08-14 21:18:21.769354]
2025-08-14T21:18:21.7694620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:21.7697860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:21.769680]
2025-08-14T21:18:24.0786830Z 
2025-08-14T21:18:24.0787480Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_0497df4b35542289_.log
2025-08-14T21:18:24.0788050Z Running 0 items in this shard:
2025-08-14T21:18:24.0788200Z 
2025-08-14T21:18:24.0791820Z Running inductor/test_inductor_scheduler 1/1 ... [2025-08-14 21:18:24.079109]
2025-08-14T21:18:24.0792160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:24.0795270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:24.079422]
2025-08-14T21:18:26.3723720Z 
2025-08-14T21:18:26.3724310Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_adcbb8a277cb666d_.log
2025-08-14T21:18:26.3724870Z Running 0 items in this shard:
2025-08-14T21:18:26.3725000Z 
2025-08-14T21:18:26.3727760Z Running dynamo/test_compile 1/1 ... [2025-08-14 21:18:26.372718]
2025-08-14T21:18:26.3728030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:26.3730700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:26.372979]
2025-08-14T21:18:28.1982570Z 
2025-08-14T21:18:28.1983470Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_18d8af4a9cc610b2_.log
2025-08-14T21:18:28.1984000Z Running 0 items in this shard:
2025-08-14T21:18:28.1984130Z 
2025-08-14T21:18:28.1986860Z Running inductor/test_compile 1/1 ... [2025-08-14 21:18:28.198620]
2025-08-14T21:18:28.1987130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:28.1989850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:28.198888]
2025-08-14T21:18:30.5014190Z 
2025-08-14T21:18:30.5014940Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_2b07f8d8d9390311_.log
2025-08-14T21:18:30.5015500Z Running 0 items in this shard:
2025-08-14T21:18:30.5015640Z 
2025-08-14T21:18:30.5018780Z Running export/test_db 1/1 ... [2025-08-14 21:18:30.501813]
2025-08-14T21:18:30.5019070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:30.5021850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_db.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:30.502093]
2025-08-14T21:18:32.2931680Z 
2025-08-14T21:18:32.2932230Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_786beb2b3247bac3_.log
2025-08-14T21:18:32.2932860Z Running 0 items in this shard:
2025-08-14T21:18:32.2933000Z 
2025-08-14T21:18:32.2935870Z Running inductor/test_graph_transform_observer 1/1 ... [2025-08-14 21:18:32.293524]
2025-08-14T21:18:32.2936220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:32.2938780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_graph_transform_observer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:32.293784]
2025-08-14T21:18:34.5039680Z 
2025-08-14T21:18:34.5040300Z inductor/test_graph_transform_observer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_graph_transform_observer_1.1_18a7964f25b5d121_.log
2025-08-14T21:18:34.5040820Z 
2025-08-14T21:18:34.5043640Z Running dynamo/test_export_mutations 1/1 ... [2025-08-14 21:18:34.504287]
2025-08-14T21:18:34.5043940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:34.5046460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:34.504552]
2025-08-14T21:18:36.3819480Z 
2025-08-14T21:18:36.3820220Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_34be7c209aa5fefa_.log
2025-08-14T21:18:36.3820970Z Running 0 items in this shard:
2025-08-14T21:18:36.3821140Z 
2025-08-14T21:18:36.3824890Z Running dynamo/test_unittest 1/1 ... [2025-08-14 21:18:36.382405]
2025-08-14T21:18:36.3825260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:36.3828770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:36.382749]
2025-08-14T21:18:38.2204710Z 
2025-08-14T21:18:38.2205250Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_c70c6ddae3ba4165_.log
2025-08-14T21:18:38.2205760Z Running 0 items in this shard:
2025-08-14T21:18:38.2205880Z 
2025-08-14T21:18:38.2208540Z Running dynamo/test_sources 1/1 ... [2025-08-14 21:18:38.220800]
2025-08-14T21:18:38.2208810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:38.2211470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:38.221057]
2025-08-14T21:18:39.9841540Z 
2025-08-14T21:18:39.9842360Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_1837d9778b9162aa_.log
2025-08-14T21:18:39.9842930Z Running 0 items in this shard:
2025-08-14T21:18:39.9843080Z 
2025-08-14T21:18:39.9846310Z Running dynamo/test_graph_deduplication 1/1 ... [2025-08-14 21:18:39.984559]
2025-08-14T21:18:39.9846640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:39.9849510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:39.984850]
2025-08-14T21:18:41.8472720Z 
2025-08-14T21:18:41.8473420Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_88b8b10f6f0eaaec_.log
2025-08-14T21:18:41.8474110Z Running 0 items in this shard:
2025-08-14T21:18:41.8474270Z 
2025-08-14T21:18:41.8477870Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2025-08-14 21:18:41.847707]
2025-08-14T21:18:41.8478570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:41.8481320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:41.848013]
2025-08-14T21:18:44.1680810Z 
2025-08-14T21:18:44.1681510Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_7e8f7b96eed6bcc2_.log
2025-08-14T21:18:44.1682160Z Running 0 items in this shard:
2025-08-14T21:18:44.1682290Z 
2025-08-14T21:18:44.1684890Z Running dynamo/test_flat_apply 1/1 ... [2025-08-14 21:18:44.168435]
2025-08-14T21:18:44.1685180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:44.1687840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:44.168692]
2025-08-14T21:18:46.0013570Z 
2025-08-14T21:18:46.0014080Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_99d6792e63ce8f80_.log
2025-08-14T21:18:46.0014600Z Running 0 items in this shard:
2025-08-14T21:18:46.0014720Z 
2025-08-14T21:18:46.0017660Z Running dynamo/test_guard_serialization 1/1 ... [2025-08-14 21:18:46.001710]
2025-08-14T21:18:46.0017960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:46.0020800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:46.001969]
2025-08-14T21:18:48.3430900Z 
2025-08-14T21:18:48.3431700Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_ae114e25884ca526_.log
2025-08-14T21:18:48.3432460Z Running 0 items in this shard:
2025-08-14T21:18:48.3432650Z 
2025-08-14T21:18:48.3436260Z Running dynamo/test_modes 1/1 ... [2025-08-14 21:18:48.343557]
2025-08-14T21:18:48.3436620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:48.3440730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:48.343919]
2025-08-14T21:18:50.6503800Z 
2025-08-14T21:18:50.6504340Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_20db3eaa5c6a8ccd_.log
2025-08-14T21:18:50.6504860Z Running 0 items in this shard:
2025-08-14T21:18:50.6504990Z 
2025-08-14T21:18:50.6508510Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-08-14 21:18:50.650783]
2025-08-14T21:18:50.6508850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:50.6511900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:50.651091]
2025-08-14T21:18:52.9561780Z 
2025-08-14T21:18:52.9562390Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_d016ce697f045a72_.log
2025-08-14T21:18:52.9563280Z Running 0 items in this shard:
2025-08-14T21:18:52.9563400Z 
2025-08-14T21:18:52.9565850Z Running export/test_passes 1/1 ... [2025-08-14 21:18:52.956531]
2025-08-14T21:18:52.9566120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:52.9568760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:52.956787]
2025-08-14T21:18:55.2090210Z 
2025-08-14T21:18:55.2090750Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_3f12cf5ccaa9031f_.log
2025-08-14T21:18:55.2091270Z Running 0 items in this shard:
2025-08-14T21:18:55.2091410Z 
2025-08-14T21:18:55.2094650Z Running export/test_unflatten 1/1 ... [2025-08-14 21:18:55.209403]
2025-08-14T21:18:55.2094940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:55.2097710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:55.209674]
2025-08-14T21:18:56.9882080Z 
2025-08-14T21:18:56.9882680Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_9c9ffe168500be23_.log
2025-08-14T21:18:56.9883290Z Running 0 items in this shard:
2025-08-14T21:18:56.9883430Z 
2025-08-14T21:18:56.9886900Z Running export/test_upgrader 1/1 ... [2025-08-14 21:18:56.988621]
2025-08-14T21:18:56.9887220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:56.9890200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:56.988908]
2025-08-14T21:18:58.7429690Z 
2025-08-14T21:18:58.7430270Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_33cb92f8e2dc3bbe_.log
2025-08-14T21:18:58.7430810Z Running 0 items in this shard:
2025-08-14T21:18:58.7430940Z 
2025-08-14T21:18:58.7433920Z Running export/test_swap 1/1 ... [2025-08-14 21:18:58.743336]
2025-08-14T21:18:58.7434200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:18:58.7437180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_swap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:18:58.743608]
2025-08-14T21:19:00.5001580Z 
2025-08-14T21:19:00.5002130Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_c79c67945f76419f_.log
2025-08-14T21:19:00.5002650Z Running 0 items in this shard:
2025-08-14T21:19:00.5002780Z 
2025-08-14T21:19:00.5005940Z Running export/test_schema 1/1 ... [2025-08-14 21:19:00.500540]
2025-08-14T21:19:00.5006230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:00.5009030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:00.500811]
2025-08-14T21:19:02.2612610Z 
2025-08-14T21:19:02.2613220Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_b99941b08aabd3cb_.log
2025-08-14T21:19:02.2613710Z Running 0 items in this shard:
2025-08-14T21:19:02.2614040Z 
2025-08-14T21:19:02.2616880Z Running dynamo/test_decorators 1/1 ... [2025-08-14 21:19:02.261630]
2025-08-14T21:19:02.2617170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:02.2619770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:02.261894]
2025-08-14T21:19:04.1446410Z 
2025-08-14T21:19:04.1447090Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_1ad608752cc616db_.log
2025-08-14T21:19:04.1447790Z Running 0 items in this shard:
2025-08-14T21:19:04.1447960Z 
2025-08-14T21:19:04.1452120Z Running dynamo/test_einops 1/1 ... [2025-08-14 21:19:04.145130]
2025-08-14T21:19:04.1452500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:04.1455870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:04.145464]
2025-08-14T21:19:05.9146670Z 
2025-08-14T21:19:05.9147260Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_596a0a6077e6717f_.log
2025-08-14T21:19:05.9147850Z Running 0 items in this shard:
2025-08-14T21:19:05.9148010Z 
2025-08-14T21:19:05.9151690Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-08-14 21:19:05.915089]
2025-08-14T21:19:05.9152090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:05.9155720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:05.915419]
2025-08-14T21:19:07.7610300Z 
2025-08-14T21:19:07.7610950Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_a65013bafcb858b7_.log
2025-08-14T21:19:07.7611610Z Running 0 items in this shard:
2025-08-14T21:19:07.7611740Z 
2025-08-14T21:19:07.7614980Z Running export/test_nativert 1/1 ... [2025-08-14 21:19:07.761434]
2025-08-14T21:19:07.7615260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:07.7618660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_nativert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:07.761743]
2025-08-14T21:19:10.0771500Z 
2025-08-14T21:19:10.0772110Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_9a8b231088003959_.log
2025-08-14T21:19:10.0772600Z Running 0 items in this shard:
2025-08-14T21:19:10.0772730Z 
2025-08-14T21:19:10.0775590Z Running inductor/test_auto_functionalize 1/1 ... [2025-08-14 21:19:10.077499]
2025-08-14T21:19:10.0775900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:10.0778490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:10.077757]
2025-08-14T21:19:11.9712420Z 
2025-08-14T21:19:11.9713160Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_0f7fcb7402a1258e_.log
2025-08-14T21:19:11.9714360Z Running 0 items in this shard:
2025-08-14T21:19:11.9714520Z 
2025-08-14T21:19:11.9718220Z Running dynamo/test_verify_correctness 1/1 ... [2025-08-14 21:19:11.971744]
2025-08-14T21:19:11.9718580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:11.9722290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:11.972103]
2025-08-14T21:19:13.8031620Z 
2025-08-14T21:19:13.8032260Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_ac14a76bf2cf6b20_.log
2025-08-14T21:19:13.8032830Z Running 0 items in this shard:
2025-08-14T21:19:13.8032950Z 
2025-08-14T21:19:13.8035840Z Running dynamo/test_export 1/1 ... [2025-08-14 21:19:13.803505]
2025-08-14T21:19:13.8036120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:13.8038540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:13.803775]
2025-08-14T21:19:15.8043230Z 
2025-08-14T21:19:15.8043790Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_6d5ad8b0d9e9a2ca_.log
2025-08-14T21:19:15.8044330Z Running 0 items in this shard:
2025-08-14T21:19:15.8044460Z 
2025-08-14T21:19:15.8047790Z Running dynamo/test_model_output 1/1 ... [2025-08-14 21:19:15.804721]
2025-08-14T21:19:15.8048100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:15.8053750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:15.805009]
2025-08-14T21:19:17.7892930Z 
2025-08-14T21:19:17.7893660Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_72fd7880844456ce_.log
2025-08-14T21:19:17.7894250Z Running 0 items in this shard:
2025-08-14T21:19:17.7894400Z 
2025-08-14T21:19:17.7897570Z Running dynamo/test_sets 1/1 ... [2025-08-14 21:19:17.789695]
2025-08-14T21:19:17.7897860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:17.7901060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:17.789986]
2025-08-14T21:19:19.6653760Z 
2025-08-14T21:19:19.6654320Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_104c96f9711f85b9_.log
2025-08-14T21:19:19.6654890Z Running 0 items in this shard:
2025-08-14T21:19:19.6655040Z 
2025-08-14T21:19:19.6658340Z Running dynamo/test_base_hop 1/1 ... [2025-08-14 21:19:19.665762]
2025-08-14T21:19:19.6658650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:19.6661810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:19.666077]
2025-08-14T21:19:21.4929640Z 
2025-08-14T21:19:21.4930320Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_e3bbff11561efd2e_.log
2025-08-14T21:19:21.4931150Z Running 0 items in this shard:
2025-08-14T21:19:21.4931280Z 
2025-08-14T21:19:21.4933680Z Running dynamo/test_profiler 1/1 ... [2025-08-14 21:19:21.493306]
2025-08-14T21:19:21.4933940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:21.4936630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:21.493568]
2025-08-14T21:19:23.3363490Z 
2025-08-14T21:19:23.3364070Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_8ee9d82e8728c47b_.log
2025-08-14T21:19:23.3364650Z Running 0 items in this shard:
2025-08-14T21:19:23.3364790Z 
2025-08-14T21:19:23.3367660Z Running test_content_store 1/1 ... [2025-08-14 21:19:23.336701]
2025-08-14T21:19:23.3367940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:23.3370970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_content_store.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:23.337000]
2025-08-14T21:19:25.2106280Z 
2025-08-14T21:19:25.2106880Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_5145581f89443c26_.log
2025-08-14T21:19:25.2107400Z Running 0 items in this shard:
2025-08-14T21:19:25.2107540Z 
2025-08-14T21:19:25.2110890Z Running dynamo/test_deviceguard 1/1 ... [2025-08-14 21:19:25.211024]
2025-08-14T21:19:25.2111210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:25.2114520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:25.211331]
2025-08-14T21:19:27.1526230Z 
2025-08-14T21:19:27.1526800Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_d2a57f420de10408_.log
2025-08-14T21:19:27.1527320Z Running 0 items in this shard:
2025-08-14T21:19:27.1527450Z 
2025-08-14T21:19:27.1530120Z Running dynamo/test_optimizers 1/1 ... [2025-08-14 21:19:27.152958]
2025-08-14T21:19:27.1530400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:27.1533120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:27.153218]
2025-08-14T21:19:28.9785580Z 
2025-08-14T21:19:28.9786160Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_e73176333017ec18_.log
2025-08-14T21:19:28.9786660Z Running 0 items in this shard:
2025-08-14T21:19:28.9786790Z 
2025-08-14T21:19:28.9789690Z Running dynamo/test_debug_utils 1/1 ... [2025-08-14 21:19:28.978894]
2025-08-14T21:19:28.9789980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:28.9792730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:28.979166]
2025-08-14T21:19:30.9689440Z 
2025-08-14T21:19:30.9690110Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_41369b201fcf5c77_.log
2025-08-14T21:19:30.9690990Z Running 0 items in this shard:
2025-08-14T21:19:30.9691160Z 
2025-08-14T21:19:30.9694470Z Running dynamo/test_python_dispatcher 1/1 ... [2025-08-14 21:19:30.969370]
2025-08-14T21:19:30.9694830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:30.9698290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:30.969704]
2025-08-14T21:19:32.9167170Z 
2025-08-14T21:19:32.9167770Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_d76e198b1b50883d_.log
2025-08-14T21:19:32.9168320Z Running 0 items in this shard:
2025-08-14T21:19:32.9168460Z 
2025-08-14T21:19:32.9171240Z Running export/test_lift_unlift 1/1 ... [2025-08-14 21:19:32.917073]
2025-08-14T21:19:32.9171550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:32.9174200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:32.917330]
2025-08-14T21:19:34.6758130Z 
2025-08-14T21:19:34.6758710Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_4b9713db9525f9c5_.log
2025-08-14T21:19:34.6759250Z Running 0 items in this shard:
2025-08-14T21:19:34.6759380Z 
2025-08-14T21:19:34.6762280Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-14 21:19:34.676165]
2025-08-14T21:19:34.6762840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:34.6765610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:34.676458]
2025-08-14T21:19:36.9948730Z 
2025-08-14T21:19:36.9949470Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_a09e242fe20b3af6_.log
2025-08-14T21:19:36.9950180Z Running 0 items in this shard:
2025-08-14T21:19:36.9950340Z 
2025-08-14T21:19:36.9953870Z Running test_model_exports_to_core_aten 1/1 ... [2025-08-14 21:19:36.995304]
2025-08-14T21:19:36.9954240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:36.9957740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:36.995641]
2025-08-14T21:19:38.8621340Z 
2025-08-14T21:19:38.8622000Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_b63504da1199ad0c_.log
2025-08-14T21:19:38.8622640Z Running 0 items in this shard:
2025-08-14T21:19:38.8622790Z 
2025-08-14T21:19:38.8625670Z Running dynamo/test_package 1/1 ... [2025-08-14 21:19:38.862498]
2025-08-14T21:19:38.8625980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:38.8629110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:38.862803]
2025-08-14T21:19:41.1972740Z 
2025-08-14T21:19:41.1973320Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_b4cb884a166b54ae_.log
2025-08-14T21:19:41.1973880Z Running 0 items in this shard:
2025-08-14T21:19:41.1974030Z 
2025-08-14T21:19:41.1977330Z Running export/test_experimental 1/1 ... [2025-08-14 21:19:41.197665]
2025-08-14T21:19:41.1977660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:41.1980800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:41.197971]
2025-08-14T21:19:43.0658280Z 
2025-08-14T21:19:43.0658970Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_1f96dca8366f1c85_.log
2025-08-14T21:19:43.0659630Z Running 0 items in this shard:
2025-08-14T21:19:43.0659790Z 
2025-08-14T21:19:43.0663180Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-08-14 21:19:43.066240]
2025-08-14T21:19:43.0663550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:43.0666930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:43.066578]
2025-08-14T21:19:44.9577890Z 
2025-08-14T21:19:44.9578620Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_fe0e47d2fd18fe08_.log
2025-08-14T21:19:44.9579380Z Running 0 items in this shard:
2025-08-14T21:19:44.9579540Z 
2025-08-14T21:19:44.9583800Z Running dynamo/test_bytecode_utils 1/1 ... [2025-08-14 21:19:44.958269]
2025-08-14T21:19:44.9584220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:44.9587500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:44.958621]
2025-08-14T21:19:46.7880300Z 
2025-08-14T21:19:46.7880970Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6f8b62059d20452c_.log
2025-08-14T21:19:46.7881490Z Running 0 items in this shard:
2025-08-14T21:19:46.7881610Z 
2025-08-14T21:19:46.7884410Z Running export/test_hop 1/1 ... [2025-08-14 21:19:46.788380]
2025-08-14T21:19:46.7884880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:46.7887530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:46.788653]
2025-08-14T21:19:49.1527010Z 
2025-08-14T21:19:49.1527610Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_536db03b12ab861e_.log
2025-08-14T21:19:49.1528140Z Running 0 items in this shard:
2025-08-14T21:19:49.1528290Z 
2025-08-14T21:19:49.1531600Z Running export/test_converter 1/1 ... [2025-08-14 21:19:49.153084]
2025-08-14T21:19:49.1531930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:49.1534950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_converter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:49.153389]
2025-08-14T21:19:51.0360150Z 
2025-08-14T21:19:51.0360780Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_5cf6549cfe770d6d_.log
2025-08-14T21:19:51.0361400Z Running 0 items in this shard:
2025-08-14T21:19:51.0361550Z 
2025-08-14T21:19:51.0365190Z Running dynamo/test_error_messages 1/1 ... [2025-08-14 21:19:51.036448]
2025-08-14T21:19:51.0365540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:51.0368910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:51.036777]
2025-08-14T21:19:52.9043440Z 
2025-08-14T21:19:52.9044160Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_ceb14a218a0cc29e_.log
2025-08-14T21:19:52.9044790Z Running 0 items in this shard:
2025-08-14T21:19:52.9044940Z 
2025-08-14T21:19:52.9048110Z Running dynamo/test_callback 1/1 ... [2025-08-14 21:19:52.904742]
2025-08-14T21:19:52.9048440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:52.9051530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:52.905048]
2025-08-14T21:19:55.2035470Z 
2025-08-14T21:19:55.2036000Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_d7b1be51c5845c3f_.log
2025-08-14T21:19:55.2036630Z Running 0 items in this shard:
2025-08-14T21:19:55.2036950Z 
2025-08-14T21:19:55.2039790Z Running export/test_pass_infra 1/1 ... [2025-08-14 21:19:55.203924]
2025-08-14T21:19:55.2040070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:55.2042570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:55.204181]
2025-08-14T21:19:56.9594630Z 
2025-08-14T21:19:56.9595210Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_428763a6c547d057_.log
2025-08-14T21:19:56.9595740Z Running 0 items in this shard:
2025-08-14T21:19:56.9595870Z 
2025-08-14T21:19:56.9599050Z Running inductor/test_mps_basic 1/1 ... [2025-08-14 21:19:56.959842]
2025-08-14T21:19:56.9599540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:56.9602290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:56.960130]
2025-08-14T21:19:59.3868990Z 
2025-08-14T21:19:59.3869610Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_2b593042316f6bbb_.log
2025-08-14T21:19:59.3870220Z Running 0 items in this shard:
2025-08-14T21:19:59.3870360Z 
2025-08-14T21:19:59.3873650Z Running dynamo/test_exceptions 1/1 ... [2025-08-14 21:19:59.387299]
2025-08-14T21:19:59.3873970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:19:59.3877160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:19:59.387612]
2025-08-14T21:20:01.2658330Z 
2025-08-14T21:20:01.2659040Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_38e28a34f9d601e4_.log
2025-08-14T21:20:01.2659700Z Running 0 items in this shard:
2025-08-14T21:20:01.2659860Z 
2025-08-14T21:20:01.2663650Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-14 21:20:01.266288]
2025-08-14T21:20:01.2664010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:01.2667350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:01.266621]
2025-08-14T21:20:03.5715340Z 
2025-08-14T21:20:03.5715930Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_bed998c66d8e0a0f_.log
2025-08-14T21:20:03.5716500Z Running 0 items in this shard:
2025-08-14T21:20:03.5716630Z 
2025-08-14T21:20:03.5719910Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-14 21:20:03.571928]
2025-08-14T21:20:03.5720220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:03.5722750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:03.572192]
2025-08-14T21:20:05.9429650Z 
2025-08-14T21:20:05.9430470Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_8f7aefcd45079b68_.log
2025-08-14T21:20:05.9431050Z Running 0 items in this shard:
2025-08-14T21:20:05.9431170Z 
2025-08-14T21:20:05.9433940Z Running dynamo/test_precompile_context 1/1 ... [2025-08-14 21:20:05.943319]
2025-08-14T21:20:05.9434240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:05.9437070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:05.943594]
2025-08-14T21:20:08.2412030Z 
2025-08-14T21:20:08.2412640Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_d0121001cb2ab2ce_.log
2025-08-14T21:20:08.2413230Z Running 0 items in this shard:
2025-08-14T21:20:08.2413530Z 
2025-08-14T21:20:08.2416550Z Running dynamo/test_guard_manager 1/1 ... [2025-08-14 21:20:08.241592]
2025-08-14T21:20:08.2416860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:08.2419690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:08.241872]
2025-08-14T21:20:10.0035500Z 
2025-08-14T21:20:10.0036090Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_e09602803a6d784a_.log
2025-08-14T21:20:10.0036640Z Running 0 items in this shard:
2025-08-14T21:20:10.0036780Z 
2025-08-14T21:20:10.0039900Z Running test_sparse_semi_structured 1/1 ... [2025-08-14 21:20:10.003925]
2025-08-14T21:20:10.0040210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:10.0043230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_sparse_semi_structured.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:10.004215]
2025-08-14T21:20:12.2957560Z 
2025-08-14T21:20:12.2958110Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_00bcb36ea28dd21a_.log
2025-08-14T21:20:12.2958650Z Running 0 items in this shard:
2025-08-14T21:20:12.2958770Z 
2025-08-14T21:20:12.2961680Z Running export/test_serialize 1/1 ... [2025-08-14 21:20:12.296113]
2025-08-14T21:20:12.2961970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:12.2964630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:12.296370]
2025-08-14T21:20:14.1765110Z 
2025-08-14T21:20:14.1765730Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_90a11e68f32f75ec_.log
2025-08-14T21:20:14.1766330Z Running 0 items in this shard:
2025-08-14T21:20:14.1766470Z 
2025-08-14T21:20:14.1769840Z Running dynamo/test_structured_trace 1/1 ... [2025-08-14 21:20:14.176918]
2025-08-14T21:20:14.1770170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:14.1773350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:14.177221]
2025-08-14T21:20:16.4894800Z 
2025-08-14T21:20:16.4895590Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_074dabc8f6e7aaf2_.log
2025-08-14T21:20:16.4896240Z Running 0 items in this shard:
2025-08-14T21:20:16.4896390Z 
2025-08-14T21:20:16.4899410Z Running export/test_verifier 1/1 ... [2025-08-14 21:20:16.489881]
2025-08-14T21:20:16.4899710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:16.4903010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_verifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:16.490198]
2025-08-14T21:20:18.2580420Z 
2025-08-14T21:20:18.2581110Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_8c766ecb644a1b3f_.log
2025-08-14T21:20:18.2581960Z Running 0 items in this shard:
2025-08-14T21:20:18.2582110Z 
2025-08-14T21:20:18.2585390Z Running dynamo/test_recompile_ux 1/1 ... [2025-08-14 21:20:18.258464]
2025-08-14T21:20:18.2588190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:18.2589160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:18.258775]
2025-08-14T21:20:20.0824990Z 
2025-08-14T21:20:20.0825560Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_b09c6f6f8beef49a_.log
2025-08-14T21:20:20.0826080Z Running 0 items in this shard:
2025-08-14T21:20:20.0826210Z 
2025-08-14T21:20:20.0829450Z Running dynamo/test_minifier 1/1 ... [2025-08-14 21:20:20.082884]
2025-08-14T21:20:20.0829740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:20.0832400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:20.083143]
2025-08-14T21:20:21.9601170Z 
2025-08-14T21:20:21.9601730Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_cabed7c3d9dfb483_.log
2025-08-14T21:20:21.9602270Z Running 0 items in this shard:
2025-08-14T21:20:21.9602400Z 
2025-08-14T21:20:21.9605690Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-08-14 21:20:21.960504]
2025-08-14T21:20:21.9606060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:21.9608990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:21.960796]
2025-08-14T21:20:24.1753560Z 
2025-08-14T21:20:24.1754220Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_b827934b1d2eac5f_.log
2025-08-14T21:20:24.1754790Z 
2025-08-14T21:20:24.1757380Z Running test_functionalization_of_rng_ops 1/1 ... [2025-08-14 21:20:24.175688]
2025-08-14T21:20:24.1757680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:24.1760910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:24.175957]
2025-08-14T21:20:26.1681860Z 
2025-08-14T21:20:26.1682570Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_7aa43fc8bd1ab5db_.log
2025-08-14T21:20:26.1683280Z Running 0 items in this shard:
2025-08-14T21:20:26.1683440Z 
2025-08-14T21:20:26.1687470Z Running dynamo/test_hooks 1/1 ... [2025-08-14 21:20:26.168673]
2025-08-14T21:20:26.1687810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:26.1691100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:26.169000]
2025-08-14T21:20:27.9972630Z 
2025-08-14T21:20:27.9973350Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_fd5b82fa57900365_.log
2025-08-14T21:20:27.9973870Z Running 0 items in this shard:
2025-08-14T21:20:27.9974000Z 
2025-08-14T21:20:27.9976970Z Running dynamo/test_generator 1/1 ... [2025-08-14 21:20:27.997617]
2025-08-14T21:20:27.9977240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:27.9979660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:27.997877]
2025-08-14T21:20:29.8832110Z 
2025-08-14T21:20:29.8832940Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_03bf0a5a490a9946_.log
2025-08-14T21:20:29.8833620Z Running 0 items in this shard:
2025-08-14T21:20:29.8833800Z 
2025-08-14T21:20:29.8837670Z Running dynamo/test_reorder_logs 1/1 ... [2025-08-14 21:20:29.883696]
2025-08-14T21:20:29.8838360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:29.8841310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:29.884026]
2025-08-14T21:20:31.7511230Z 
2025-08-14T21:20:31.7511830Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_2a774c25a5a1b4d1_.log
2025-08-14T21:20:31.7512420Z Running 0 items in this shard:
2025-08-14T21:20:31.7512560Z 
2025-08-14T21:20:31.7516210Z Running dynamo/test_subclasses 1/1 ... [2025-08-14 21:20:31.751552]
2025-08-14T21:20:31.7516530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:31.7519730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:31.751869]
2025-08-14T21:20:34.0728880Z 
2025-08-14T21:20:34.0729540Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_b6b1db9de31d7351_.log
2025-08-14T21:20:34.0730080Z Running 0 items in this shard:
2025-08-14T21:20:34.0730220Z 
2025-08-14T21:20:34.0733410Z Running export/test_sparse 1/1 ... [2025-08-14 21:20:34.073281]
2025-08-14T21:20:34.0733690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:34.0736940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:34.073577]
2025-08-14T21:20:35.8375970Z 
2025-08-14T21:20:35.8376480Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_fc0af4c177b62dd7_.log
2025-08-14T21:20:35.8376970Z Running 0 items in this shard:
2025-08-14T21:20:35.8381210Z 
2025-08-14T21:20:35.8381520Z Running functorch/test_eager_transforms 1/1 ... [2025-08-14 21:20:35.837961]
2025-08-14T21:20:35.8381820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:35.8383160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:35.838235]
2025-08-14T21:20:38.3886230Z 
2025-08-14T21:20:38.3886990Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_a7f11b769b740ec8_.log
2025-08-14T21:20:38.3887560Z Running 0 items in this shard:
2025-08-14T21:20:38.3887690Z 
2025-08-14T21:20:38.3890680Z Running export/test_draft_export 1/1 ... [2025-08-14 21:20:38.389013]
2025-08-14T21:20:38.3890960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:38.3893600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:38.389268]
2025-08-14T21:20:40.2855180Z 
2025-08-14T21:20:40.2855790Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_23f0c8894d5df6e6_.log
2025-08-14T21:20:40.2856400Z Running 0 items in this shard:
2025-08-14T21:20:40.2856550Z 
2025-08-14T21:20:40.2860110Z Running dynamo/test_comptime 1/1 ... [2025-08-14 21:20:40.285946]
2025-08-14T21:20:40.2860660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:40.2863680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:40.286261]
2025-08-14T21:20:42.1480990Z 
2025-08-14T21:20:42.1481640Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_83220ee00dc5ada8_.log
2025-08-14T21:20:42.1482230Z Running 0 items in this shard:
2025-08-14T21:20:42.1482380Z 
2025-08-14T21:20:42.1486030Z Running test_testing 1/1 ... [2025-08-14 21:20:42.148546]
2025-08-14T21:20:42.1486310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:42.1489270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_testing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:42.148835]
2025-08-14T21:20:44.7641660Z 
2025-08-14T21:20:44.7642240Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_4f0b770841e353f1_.log
2025-08-14T21:20:44.7642690Z Running 0 items in this shard:
2025-08-14T21:20:44.7642820Z 
2025-08-14T21:20:44.7646040Z Running dynamo/test_python_autograd 1/1 ... [2025-08-14 21:20:44.764532]
2025-08-14T21:20:44.7646340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:44.7649240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:44.764808]
2025-08-14T21:20:46.5837760Z 
2025-08-14T21:20:46.5838350Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_0c5e6048e78a12a3_.log
2025-08-14T21:20:46.5838880Z Running 0 items in this shard:
2025-08-14T21:20:46.5839040Z 
2025-08-14T21:20:46.5841930Z Running test_quantization 1/1 ... [2025-08-14 21:20:46.584118]
2025-08-14T21:20:46.5842190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:46.5844770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:46.584382]
2025-08-14T21:20:49.2565230Z 
2025-08-14T21:20:49.2566020Z test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.1_e229e37ecaf12a94_.log
2025-08-14T21:20:49.2566630Z Running 0 items in this shard:
2025-08-14T21:20:49.2566780Z 
2025-08-14T21:20:49.2570660Z Running test_transformers 2/2 ... [2025-08-14 21:20:49.256998]
2025-08-14T21:20:49.2571000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:49.2574150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_transformers.py', '-m', 'serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:49.257306]
2025-08-14T21:20:52.1119650Z 
2025-08-14T21:20:52.1120300Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_9c99df3dd50b4a30_.log
2025-08-14T21:20:52.1120930Z Running 0 items in this shard:
2025-08-14T21:20:52.1121110Z 
2025-08-14T21:20:52.1124630Z Running test_ao_sparsity 1/1 ... [2025-08-14 21:20:52.112389]
2025-08-14T21:20:52.1125360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:52.1128190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:52.112710]
2025-08-14T21:20:54.0540760Z 
2025-08-14T21:20:54.0541430Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_1e4dcab58af6f11b_.log
2025-08-14T21:20:54.0542020Z Running 0 items in this shard:
2025-08-14T21:20:54.0542210Z 
2025-08-14T21:20:54.0545940Z Running test_license 1/1 ... [2025-08-14 21:20:54.054531]
2025-08-14T21:20:54.0546240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:54.0549540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_license.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:54.054842]
2025-08-14T21:20:55.8229920Z 
2025-08-14T21:20:55.8230420Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_658e3ada768c5bac_.log
2025-08-14T21:20:55.8230950Z Running 0 items in this shard:
2025-08-14T21:20:55.8231090Z 
2025-08-14T21:20:55.8234810Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-08-14 21:20:55.823417]
2025-08-14T21:20:55.8235130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:55.8238430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:55.823716]
2025-08-14T21:20:57.5905200Z 
2025-08-14T21:20:57.5905900Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_1534815277bb5c70_.log
2025-08-14T21:20:57.5906580Z Running 0 items in this shard:
2025-08-14T21:20:57.5906740Z 
2025-08-14T21:20:57.5910500Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-08-14 21:20:57.590974]
2025-08-14T21:20:57.5910860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:57.5914150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:57.591297]
2025-08-14T21:20:59.3660230Z 
2025-08-14T21:20:59.3661000Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_df907ea93ec17088_.log
2025-08-14T21:20:59.3661570Z Running 0 items in this shard:
2025-08-14T21:20:59.3661710Z 
2025-08-14T21:20:59.3664910Z Running test_foreach 1/1 ... [2025-08-14 21:20:59.366432]
2025-08-14T21:20:59.3665200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:20:59.3668220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_foreach.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:20:59.366724]
2025-08-14T21:21:02.5058440Z 
2025-08-14T21:21:02.5058960Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_0c8b2489545e4219_.log
2025-08-14T21:21:02.5059610Z Running 0 items in this shard:
2025-08-14T21:21:02.5059750Z 
2025-08-14T21:21:02.5062830Z Running test_expanded_weights 1/1 ... [2025-08-14 21:21:02.506224]
2025-08-14T21:21:02.5063310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:02.5065610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:02.506482]
2025-08-14T21:21:05.0291720Z 
2025-08-14T21:21:05.0292220Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_d2aed6e3a36af0a1_.log
2025-08-14T21:21:05.0292730Z Running 0 items in this shard:
2025-08-14T21:21:05.0292860Z 
2025-08-14T21:21:05.0295850Z Running typing/test_python_operators 1/1 ... [2025-08-14 21:21:05.029528]
2025-08-14T21:21:05.0296150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:05.0298850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:05.029789]
2025-08-14T21:21:06.8339290Z 
2025-08-14T21:21:06.8339960Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_dd8cbccbd198c0cb_.log
2025-08-14T21:21:06.8344150Z Running 0 items in this shard:
2025-08-14T21:21:06.8344320Z 
2025-08-14T21:21:06.8344490Z Running test_fx_experimental 1/1 ... [2025-08-14 21:21:06.834347]
2025-08-14T21:21:06.8344820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:06.8348050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:06.834669]
2025-08-14T21:21:09.4484950Z 
2025-08-14T21:21:09.4485740Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_ea2d52a6356f7934_.log
2025-08-14T21:21:09.4486440Z Running 0 items in this shard:
2025-08-14T21:21:09.4486610Z 
2025-08-14T21:21:09.4490660Z Running test_file_check 1/1 ... [2025-08-14 21:21:09.448995]
2025-08-14T21:21:09.4491030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:09.4494650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_file_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:09.449336]
2025-08-14T21:21:11.2232110Z 
2025-08-14T21:21:11.2232890Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_68e3751d22eb44cc_.log
2025-08-14T21:21:11.2233490Z Running 0 items in this shard:
2025-08-14T21:21:11.2233650Z 
2025-08-14T21:21:11.2237200Z Running torch_np/test_dtype 1/1 ... [2025-08-14 21:21:11.223657]
2025-08-14T21:21:11.2237530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:11.2240880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:11.223976]
2025-08-14T21:21:12.9933630Z 
2025-08-14T21:21:12.9934180Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_9b0a66a439f1f70c_.log
2025-08-14T21:21:12.9934740Z Running 0 items in this shard:
2025-08-14T21:21:12.9934870Z 
2025-08-14T21:21:12.9938240Z Running higher_order_ops/test_with_effects 1/1 ... [2025-08-14 21:21:12.993757]
2025-08-14T21:21:12.9938850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:12.9941550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:12.994055]
2025-08-14T21:21:15.1193740Z 
2025-08-14T21:21:15.1194420Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_d05e518b84c94608_.log
2025-08-14T21:21:15.1195070Z Running 0 items in this shard:
2025-08-14T21:21:15.1195250Z 
2025-08-14T21:21:15.1198540Z Running test_native_functions 1/1 ... [2025-08-14 21:21:15.119786]
2025-08-14T21:21:15.1198850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:15.1202110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_native_functions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:15.120102]
2025-08-14T21:21:16.8949940Z 
2025-08-14T21:21:16.8951000Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_bf1a2bf910bb9dac_.log
2025-08-14T21:21:16.8951570Z Running 0 items in this shard:
2025-08-14T21:21:16.8951710Z 
2025-08-14T21:21:16.8954680Z Running functorch/test_minifier 1/1 ... [2025-08-14 21:21:16.895396]
2025-08-14T21:21:16.8955010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:16.8958350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:16.895703]
2025-08-14T21:21:18.7776120Z 
2025-08-14T21:21:18.7776770Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_7004f15a39284c91_.log
2025-08-14T21:21:18.7777400Z Running 0 items in this shard:
2025-08-14T21:21:18.7777550Z 
2025-08-14T21:21:18.7781320Z Running test_flop_counter 1/1 ... [2025-08-14 21:21:18.778060]
2025-08-14T21:21:18.7781660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:18.7784970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_flop_counter.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:18.778387]
2025-08-14T21:21:20.6403450Z 
2025-08-14T21:21:20.6404080Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_2453707e26a7f07a_.log
2025-08-14T21:21:20.6404570Z Running 0 items in this shard:
2025-08-14T21:21:20.6404700Z 
2025-08-14T21:21:20.6407420Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-14 21:21:20.640687]
2025-08-14T21:21:20.6407710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:20.6410410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:20.640943]
2025-08-14T21:21:22.5556590Z 
2025-08-14T21:21:22.5557190Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_460d07c663aab8bb_.log
2025-08-14T21:21:22.5557780Z Running 0 items in this shard:
2025-08-14T21:21:22.5557910Z 
2025-08-14T21:21:22.5561130Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-08-14 21:21:22.556051]
2025-08-14T21:21:22.5561760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:22.5564230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:22.556332]
2025-08-14T21:21:24.8672380Z 
2025-08-14T21:21:24.8673020Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_b660e4d9c4ff789b_.log
2025-08-14T21:21:24.8673580Z Running 0 items in this shard:
2025-08-14T21:21:24.8673710Z 
2025-08-14T21:21:24.8676340Z Running test_per_overload_api 1/1 ... [2025-08-14 21:21:24.867583]
2025-08-14T21:21:24.8676640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:24.8679390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:24.867843]
2025-08-14T21:21:26.6289210Z 
2025-08-14T21:21:26.6289740Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_062a38827800bb4e_.log
2025-08-14T21:21:26.6290230Z Running 0 items in this shard:
2025-08-14T21:21:26.6290350Z 
2025-08-14T21:21:26.6293410Z Running test_tensorexpr_pybind 1/1 ... [2025-08-14 21:21:26.629283]
2025-08-14T21:21:26.6293680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:26.6296760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:26.629568]
2025-08-14T21:21:28.3812300Z 
2025-08-14T21:21:28.3812910Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_54b4f38eca3f0241_.log
2025-08-14T21:21:28.3813400Z Running 0 items in this shard:
2025-08-14T21:21:28.3813530Z 
2025-08-14T21:21:28.3816400Z Running test_pytree 1/1 ... [2025-08-14 21:21:28.381585]
2025-08-14T21:21:28.3816650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:28.3819340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_pytree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:28.381851]
2025-08-14T21:21:30.1800870Z 
2025-08-14T21:21:30.1801430Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_ba3808db88fdcaf4_.log
2025-08-14T21:21:30.1801990Z Running 0 items in this shard:
2025-08-14T21:21:30.1802130Z 
2025-08-14T21:21:30.1805670Z Running test_fx_passes 1/1 ... [2025-08-14 21:21:30.180502]
2025-08-14T21:21:30.1805960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:30.1809210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:30.180820]
2025-08-14T21:21:31.9427480Z 
2025-08-14T21:21:31.9428030Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_902a91a2aa94452d_.log
2025-08-14T21:21:31.9428510Z Running 0 items in this shard:
2025-08-14T21:21:31.9428650Z 
2025-08-14T21:21:31.9431810Z Running test_module_tracker 1/1 ... [2025-08-14 21:21:31.943111]
2025-08-14T21:21:31.9432370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:31.9434810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_module_tracker.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:31.943389]
2025-08-14T21:21:33.7298060Z 
2025-08-14T21:21:33.7298710Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_7ae83fc4447c9550_.log
2025-08-14T21:21:33.7299320Z Running 0 items in this shard:
2025-08-14T21:21:33.7299480Z 
2025-08-14T21:21:33.7303270Z Running test_typing 1/1 ... [2025-08-14 21:21:33.730255]
2025-08-14T21:21:33.7303580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:33.7307020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_typing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:33.730588]
2025-08-14T21:21:35.5045680Z 
2025-08-14T21:21:35.5046280Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_3ba2b65a8234ccf1_.log
2025-08-14T21:21:35.5046790Z Running 0 items in this shard:
2025-08-14T21:21:35.5046940Z 
2025-08-14T21:21:35.5050370Z Running test_openmp 1/1 ... [2025-08-14 21:21:35.504969]
2025-08-14T21:21:35.5050640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:35.5054050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:35.505282]
2025-08-14T21:21:37.2383000Z 
2025-08-14T21:21:37.2383600Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_62aeae4c9fd359b8_.log
2025-08-14T21:21:37.2384050Z Running 0 items in this shard:
2025-08-14T21:21:37.2384180Z 
2025-08-14T21:21:37.2387270Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-08-14 21:21:37.238661]
2025-08-14T21:21:37.2387610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:37.2390320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:37.238932]
2025-08-14T21:21:39.0297390Z 
2025-08-14T21:21:39.0298410Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_00a03f5313b60c3f_.log
2025-08-14T21:21:39.0299210Z Running 0 items in this shard:
2025-08-14T21:21:39.0299380Z 
2025-08-14T21:21:39.0302380Z Running functorch/test_ac_knapsack 1/1 ... [2025-08-14 21:21:39.030163]
2025-08-14T21:21:39.0302750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:39.0306180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:39.030505]
2025-08-14T21:21:40.8882610Z 
2025-08-14T21:21:40.8883350Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_1bce15adafb5df3e_.log
2025-08-14T21:21:40.8884090Z Running 0 items in this shard:
2025-08-14T21:21:40.8884260Z 
2025-08-14T21:21:40.8887700Z Running backends/xeon/test_launch 1/1 ... [2025-08-14 21:21:40.888710]
2025-08-14T21:21:40.8888100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:40.8891850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:40.889057]
2025-08-14T21:21:42.6545180Z 
2025-08-14T21:21:42.6545780Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_08102ea57d4598d9_.log
2025-08-14T21:21:42.6546340Z Running 0 items in this shard:
2025-08-14T21:21:42.6546470Z 
2025-08-14T21:21:42.6549780Z Running test_nestedtensor 1/2 ... [2025-08-14 21:21:42.654920]
2025-08-14T21:21:42.6550080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:42.6553100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:42.655209]
2025-08-14T21:21:45.4146010Z 
2025-08-14T21:21:45.4146610Z test_nestedtensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.2_622bb7ed1de66f80_.log
2025-08-14T21:21:45.4147230Z Running 0 items in this shard:
2025-08-14T21:21:45.4147380Z 
2025-08-14T21:21:45.4149930Z Running test_namedtensor 1/1 ... [2025-08-14 21:21:45.414924]
2025-08-14T21:21:45.4150190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:45.4152750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:45.415182]
2025-08-14T21:21:47.3437200Z 
2025-08-14T21:21:47.3438180Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_f7744fe51f66dfbc_.log
2025-08-14T21:21:47.3438750Z Running 0 items in this shard:
2025-08-14T21:21:47.3438910Z 
2025-08-14T21:21:47.3442360Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-14 21:21:47.344167]
2025-08-14T21:21:47.3442730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:47.3445900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:47.344476]
2025-08-14T21:21:49.1354690Z 
2025-08-14T21:21:49.1355310Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_5a7a22623a04b2c1_.log
2025-08-14T21:21:49.1355870Z Running 0 items in this shard:
2025-08-14T21:21:49.1356000Z 
2025-08-14T21:21:49.1359080Z Running test_meta 1/2 ... [2025-08-14 21:21:49.135854]
2025-08-14T21:21:49.1359340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:49.1362170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_meta.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:49.136122]
2025-08-14T21:21:54.9533990Z 
2025-08-14T21:21:54.9534590Z test_meta 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.2_859dba282bb9fa09_.log
2025-08-14T21:21:54.9535040Z Running 0 items in this shard:
2025-08-14T21:21:54.9535170Z 
2025-08-14T21:21:54.9537820Z Running test_jiterator 1/1 ... [2025-08-14 21:21:54.953736]
2025-08-14T21:21:54.9538540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:54.9540970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_jiterator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:54.953998]
2025-08-14T21:21:56.8053290Z 
2025-08-14T21:21:56.8053840Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_c516635d2e861f0a_.log
2025-08-14T21:21:56.8054310Z Running 0 items in this shard:
2025-08-14T21:21:56.8054430Z 
2025-08-14T21:21:56.8057430Z Running test_decomp 3/4 ... [2025-08-14 21:21:56.805671]
2025-08-14T21:21:56.8057700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:21:56.8060640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:21:56.805951]
2025-08-14T21:22:00.1194550Z 
2025-08-14T21:22:00.1195080Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_e908dd67f4db9efb_.log
2025-08-14T21:22:00.1195610Z Running 0 items in this shard:
2025-08-14T21:22:00.1195780Z 
2025-08-14T21:22:00.1204590Z Running lazy/test_step_closures 1/1 ... [2025-08-14 21:22:00.119846]
2025-08-14T21:22:00.1205020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:00.1206290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:00.120173]
2025-08-14T21:22:01.8747260Z 
2025-08-14T21:22:01.8747880Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_fcb1eb28aee349a6_.log
2025-08-14T21:22:01.8748380Z Running 0 items in this shard:
2025-08-14T21:22:01.8748510Z 
2025-08-14T21:22:01.8751230Z Running test_ops_gradients 1/1 ... [2025-08-14 21:22:01.875069]
2025-08-14T21:22:01.8751520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:01.8754120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:01.875325]
2025-08-14T21:22:04.8350350Z 
2025-08-14T21:22:04.8351170Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_796481580af38e14_.log
2025-08-14T21:22:04.8351770Z Running 0 items in this shard:
2025-08-14T21:22:04.8351940Z 
2025-08-14T21:22:04.8355260Z Running test_fx_reinplace_pass 1/1 ... [2025-08-14 21:22:04.835455]
2025-08-14T21:22:04.8355610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:04.8358740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:04.835765]
2025-08-14T21:22:06.5969860Z 
2025-08-14T21:22:06.5970440Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_21b8ab38d536947b_.log
2025-08-14T21:22:06.5970970Z Running 0 items in this shard:
2025-08-14T21:22:06.5971100Z 
2025-08-14T21:22:06.5974020Z Running nn/test_multihead_attention 1/1 ... [2025-08-14 21:22:06.597342]
2025-08-14T21:22:06.5974510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:06.5977210Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:06.597617]
2025-08-14T21:22:08.4908780Z 
2025-08-14T21:22:08.4909420Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_95813a12eb1c5513_.log
2025-08-14T21:22:08.4910060Z Running 0 items in this shard:
2025-08-14T21:22:08.4910220Z 
2025-08-14T21:22:08.4913930Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-08-14 21:22:08.491318]
2025-08-14T21:22:08.4914340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:08.4917490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:08.491631]
2025-08-14T21:22:10.3593760Z 
2025-08-14T21:22:10.3595180Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_bace15f1a44c5814_.log
2025-08-14T21:22:10.3595880Z Running 0 items in this shard:
2025-08-14T21:22:10.3596020Z 
2025-08-14T21:22:10.3598530Z Running test_pruning_op 1/1 ... [2025-08-14 21:22:10.359793]
2025-08-14T21:22:10.3598830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:10.3601980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_pruning_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:10.360077]
2025-08-14T21:22:12.1232110Z 
2025-08-14T21:22:12.1232650Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_8ce0515a5d469501_.log
2025-08-14T21:22:12.1233140Z Running 0 items in this shard:
2025-08-14T21:22:12.1233270Z 
2025-08-14T21:22:12.1236450Z Running lazy/test_functionalization 1/1 ... [2025-08-14 21:22:12.123584]
2025-08-14T21:22:12.1236760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:12.1239640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:12.123865]
2025-08-14T21:22:13.8911830Z 
2025-08-14T21:22:13.8912440Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_85c9ebfe9e41da21_.log
2025-08-14T21:22:13.8913030Z Running 0 items in this shard:
2025-08-14T21:22:13.8913170Z 
2025-08-14T21:22:13.8915850Z Running functorch/test_ac 1/1 ... [2025-08-14 21:22:13.891531]
2025-08-14T21:22:13.8916140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:13.8919000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:13.891804]
2025-08-14T21:22:16.0962880Z 
2025-08-14T21:22:16.0963360Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_f4c811884e9baa30_.log
2025-08-14T21:22:16.0963780Z 
2025-08-14T21:22:16.0967390Z Running test_ops_fwd_gradients 1/1 ... [2025-08-14 21:22:16.096662]
2025-08-14T21:22:16.0967980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:16.0970850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:16.096974]
2025-08-14T21:22:18.7744110Z 
2025-08-14T21:22:18.7744740Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_dcd44cb3d1f7b404_.log
2025-08-14T21:22:18.7745370Z Running 0 items in this shard:
2025-08-14T21:22:18.7745540Z 
2025-08-14T21:22:18.7748840Z Running test_hub 1/1 ... [2025-08-14 21:22:18.774827]
2025-08-14T21:22:18.7749120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:18.7752200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_hub.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:18.775116]
2025-08-14T21:22:20.5592320Z 
2025-08-14T21:22:20.5592860Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_7587f9bc6d0f5e0c_.log
2025-08-14T21:22:20.5593400Z Running 0 items in this shard:
2025-08-14T21:22:20.5593560Z 
2025-08-14T21:22:20.5597290Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-08-14 21:22:20.559655]
2025-08-14T21:22:20.5597690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:20.5601030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:20.559960]
2025-08-14T21:22:22.3203450Z 
2025-08-14T21:22:22.3204130Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_441c019858fefbaf_.log
2025-08-14T21:22:22.3204780Z Running 0 items in this shard:
2025-08-14T21:22:22.3204920Z 
2025-08-14T21:22:22.3208040Z Running test_stateless 1/1 ... [2025-08-14 21:22:22.320744]
2025-08-14T21:22:22.3208340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:22.3211300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_stateless.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:22.321022]
2025-08-14T21:22:24.2094520Z 
2025-08-14T21:22:24.2095300Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_209635aabbbd9638_.log
2025-08-14T21:22:24.2095870Z Running 0 items in this shard:
2025-08-14T21:22:24.2096030Z 
2025-08-14T21:22:24.2099330Z Running test_numpy_interop 1/1 ... [2025-08-14 21:22:24.209864]
2025-08-14T21:22:24.2099660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:24.2102810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:24.210171]
2025-08-14T21:22:26.1419630Z 
2025-08-14T21:22:26.1420240Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_0bd11655aae81212_.log
2025-08-14T21:22:26.1420890Z Running 0 items in this shard:
2025-08-14T21:22:26.1421070Z 
2025-08-14T21:22:26.1424830Z Running test_ops 1/2 ... [2025-08-14 21:22:26.142417]
2025-08-14T21:22:26.1425380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:26.1428630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:26.142747]
2025-08-14T21:22:31.7949790Z 
2025-08-14T21:22:31.7952760Z test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.2_028f0b38e8e592fc_.log
2025-08-14T21:22:31.7953280Z Running 0 items in this shard:
2025-08-14T21:22:31.7953430Z 
2025-08-14T21:22:31.7954830Z Running optim/test_lrscheduler 1/1 ... [2025-08-14 21:22:31.795421]
2025-08-14T21:22:31.7955180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:31.7958290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:31.795717]
2025-08-14T21:22:33.4906210Z 
2025-08-14T21:22:33.4906800Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_5f9c005490d16a67_.log
2025-08-14T21:22:33.4907250Z 
2025-08-14T21:22:33.4910090Z Running functorch/test_aotdispatch 3/3 ... [2025-08-14 21:22:33.490930]
2025-08-14T21:22:33.4910400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:33.4912710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:33.491185]
2025-08-14T21:22:36.3848320Z 
2025-08-14T21:22:36.3848890Z functorch/test_aotdispatch 3/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.3_e32da073727c8ae0_.log
2025-08-14T21:22:36.3849430Z Running 0 items in this shard:
2025-08-14T21:22:36.3849560Z 
2025-08-14T21:22:36.3852130Z Running test_schema_check 1/1 ... [2025-08-14 21:22:36.385159]
2025-08-14T21:22:36.3852380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:36.3855060Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_schema_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:36.385418]
2025-08-14T21:22:39.2792680Z 
2025-08-14T21:22:39.2793250Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_d09d343f27b48a34_.log
2025-08-14T21:22:39.2793770Z Running 0 items in this shard:
2025-08-14T21:22:39.2793910Z 
2025-08-14T21:22:39.2796770Z Running test_datapipe 1/1 ... [2025-08-14 21:22:39.279621]
2025-08-14T21:22:39.2797050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:39.2799910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:39.279894]
2025-08-14T21:22:41.1043780Z 
2025-08-14T21:22:41.1044400Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_02ff16507e2d1d02_.log
2025-08-14T21:22:41.1045010Z Running 0 items in this shard:
2025-08-14T21:22:41.1045180Z 
2025-08-14T21:22:41.1049070Z Running test_bundled_inputs 1/1 ... [2025-08-14 21:22:41.104836]
2025-08-14T21:22:41.1049440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:41.1052780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:41.105157]
2025-08-14T21:22:42.8590540Z 
2025-08-14T21:22:42.8591070Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_34c85459273f4bd6_.log
2025-08-14T21:22:42.8591550Z Running 0 items in this shard:
2025-08-14T21:22:42.8591970Z 
2025-08-14T21:22:42.8594920Z Running profiler/test_execution_trace 1/1 ... [2025-08-14 21:22:42.859431]
2025-08-14T21:22:42.8595230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:42.8597950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:42.859692]
2025-08-14T21:22:44.7296470Z 
2025-08-14T21:22:44.7297040Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_0cdd9b402e7cb18d_.log
2025-08-14T21:22:44.7300530Z Running 0 items in this shard:
2025-08-14T21:22:44.7300660Z 
2025-08-14T21:22:44.7300790Z Running lazy/test_generator 1/1 ... [2025-08-14 21:22:44.730006]
2025-08-14T21:22:44.7301050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:44.7303540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:44.730270]
2025-08-14T21:22:46.4933040Z 
2025-08-14T21:22:46.4933770Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_71bb6b943e48f9b9_.log
2025-08-14T21:22:46.4934310Z Running 0 items in this shard:
2025-08-14T21:22:46.4934440Z 
2025-08-14T21:22:46.4937430Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-14 21:22:46.493680]
2025-08-14T21:22:46.4937760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:46.4940570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:46.493956]
2025-08-14T21:22:48.2956510Z 
2025-08-14T21:22:48.2957270Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_4f66f0061a3dabcd_.log
2025-08-14T21:22:48.2958000Z Running 0 items in this shard:
2025-08-14T21:22:48.2958160Z 
2025-08-14T21:22:48.2961360Z Running test_maskedtensor 1/1 ... [2025-08-14 21:22:48.296069]
2025-08-14T21:22:48.2961700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:48.2964990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:48.296379]
2025-08-14T21:22:50.8487910Z 
2025-08-14T21:22:50.8488470Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_6ecd4a553fbac424_.log
2025-08-14T21:22:50.8489020Z Running 0 items in this shard:
2025-08-14T21:22:50.8489170Z 
2025-08-14T21:22:50.8492650Z Running test_tensorboard 1/1 ... [2025-08-14 21:22:50.849205]
2025-08-14T21:22:50.8492940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:50.8495900Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensorboard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:50.849489]
2025-08-14T21:22:53.4256490Z 
2025-08-14T21:22:53.4257080Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_1446eb96258be2a5_.log
2025-08-14T21:22:53.4258010Z Running 0 items in this shard:
2025-08-14T21:22:53.4258160Z 
2025-08-14T21:22:53.4261010Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-14 21:22:53.426037]
2025-08-14T21:22:53.4261360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:53.4264000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:53.426312]
2025-08-14T21:22:55.2041300Z 
2025-08-14T21:22:55.2041970Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_79d8afb3addd245d_.log
2025-08-14T21:22:55.2042640Z Running 0 items in this shard:
2025-08-14T21:22:55.2042770Z 
2025-08-14T21:22:55.2046000Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:22:55.204534]
2025-08-14T21:22:55.2046280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:55.2049580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:55.204838]
2025-08-14T21:22:57.7054920Z 
2025-08-14T21:22:57.7055820Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_eebfed20d3e99fc8_.log
2025-08-14T21:22:57.7056420Z Running 0 items in this shard:
2025-08-14T21:22:57.7056580Z 
2025-08-14T21:22:57.7060180Z Running test_mkldnn_fusion 1/1 ... [2025-08-14 21:22:57.705946]
2025-08-14T21:22:57.7060520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:57.7063960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:57.706277]
2025-08-14T21:22:59.4724020Z 
2025-08-14T21:22:59.4724560Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_7ebbd839879452e6_.log
2025-08-14T21:22:59.4725180Z Running 0 items in this shard:
2025-08-14T21:22:59.4725310Z 
2025-08-14T21:22:59.4728410Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-14 21:22:59.472780]
2025-08-14T21:22:59.4728720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:22:59.4731240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:22:59.473045]
2025-08-14T21:23:01.2731880Z 
2025-08-14T21:23:01.2732610Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_dd12cc6f75710cf3_.log
2025-08-14T21:23:01.2733320Z Running 0 items in this shard:
2025-08-14T21:23:01.2733500Z 
2025-08-14T21:23:01.2736880Z Running test_linalg 1/1 ... [2025-08-14 21:23:01.273623]
2025-08-14T21:23:01.2737200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:01.2740360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:01.273922]
2025-08-14T21:23:03.5570210Z 
2025-08-14T21:23:03.5570980Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_ca13c28a88fc77ca_.log
2025-08-14T21:23:03.5571970Z Running 4 items in this shard: test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float64
2025-08-14T21:23:03.5572630Z 
2025-08-14T21:23:03.5574090Z Running test_futures 1/1 ... [2025-08-14 21:23:03.557366]
2025-08-14T21:23:03.5574340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:03.5577280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_futures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:03.557618]
2025-08-14T21:23:05.3032990Z 
2025-08-14T21:23:05.3033570Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_8d5fb5f7f9d6fe1a_.log
2025-08-14T21:23:05.3034020Z Running 0 items in this shard:
2025-08-14T21:23:05.3034160Z 
2025-08-14T21:23:05.3037240Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-08-14 21:23:05.303664]
2025-08-14T21:23:05.3037560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:05.3040410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:05.303931]
2025-08-14T21:23:07.0573680Z 
2025-08-14T21:23:07.0574320Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_b7096ed6f2d5739f_.log
2025-08-14T21:23:07.0574950Z Running 0 items in this shard:
2025-08-14T21:23:07.0575080Z 
2025-08-14T21:23:07.0577730Z Running nn/test_embedding 1/1 ... [2025-08-14 21:23:07.057722]
2025-08-14T21:23:07.0577990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:07.0580630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:07.057975]
2025-08-14T21:23:08.9533660Z 
2025-08-14T21:23:08.9534210Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_d071e046353fbfe0_.log
2025-08-14T21:23:08.9534790Z Running 0 items in this shard:
2025-08-14T21:23:08.9534940Z 
2025-08-14T21:23:08.9538450Z Running nn/test_dropout 1/1 ... [2025-08-14 21:23:08.953788]
2025-08-14T21:23:08.9538740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:08.9541830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:08.954079]
2025-08-14T21:23:10.8361780Z 
2025-08-14T21:23:10.8362350Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_ade4aa48df69df58_.log
2025-08-14T21:23:10.8363120Z Running 0 items in this shard:
2025-08-14T21:23:10.8363270Z 
2025-08-14T21:23:10.8366570Z Running test_autograd 1/1 ... [2025-08-14 21:23:10.836598]
2025-08-14T21:23:10.8366870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:10.8369980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:10.836880]
2025-08-14T21:23:13.3924020Z 
2025-08-14T21:23:13.3924540Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_9b89986aa220498b_.log
2025-08-14T21:23:13.3925060Z Running 0 items in this shard:
2025-08-14T21:23:13.3925210Z 
2025-08-14T21:23:13.3929030Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-08-14 21:23:13.392812]
2025-08-14T21:23:13.3929430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:13.3932110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:13.393104]
2025-08-14T21:23:15.2212010Z 
2025-08-14T21:23:15.2212910Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_727b86d9fa01f313_.log
2025-08-14T21:23:15.2213600Z Running 0 items in this shard:
2025-08-14T21:23:15.2213750Z 
2025-08-14T21:23:15.2217020Z Running test_functional_optim 1/1 ... [2025-08-14 21:23:15.221637]
2025-08-14T21:23:15.2217590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:15.2220510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_functional_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:15.221947]
2025-08-14T21:23:16.9891090Z 
2025-08-14T21:23:16.9891640Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_8ed2316a25d3c475_.log
2025-08-14T21:23:16.9892220Z Running 0 items in this shard:
2025-08-14T21:23:16.9892370Z 
2025-08-14T21:23:16.9895870Z Running test_vulkan 1/1 ... [2025-08-14 21:23:16.989534]
2025-08-14T21:23:16.9896150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:16.9899140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_vulkan.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:16.989813]
2025-08-14T21:23:18.7421440Z 
2025-08-14T21:23:18.7421930Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_553e1610615aaae8_.log
2025-08-14T21:23:18.7422420Z Running 0 items in this shard:
2025-08-14T21:23:18.7422550Z 
2025-08-14T21:23:18.7426160Z Running functorch/test_vmap 1/1 ... [2025-08-14 21:23:18.742556]
2025-08-14T21:23:18.7426450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:18.7429420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:18.742842]
2025-08-14T21:23:21.5228650Z 
2025-08-14T21:23:21.5229230Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_fbd19798a5b80652_.log
2025-08-14T21:23:21.5230160Z Running 0 items in this shard:
2025-08-14T21:23:21.5230300Z 
2025-08-14T21:23:21.5233900Z Running test_cuda_multigpu 1/1 ... [2025-08-14 21:23:21.523323]
2025-08-14T21:23:21.5234220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:21.5237690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:21.523641]
2025-08-14T21:23:23.3786170Z 
2025-08-14T21:23:23.3786750Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_84d6a25b46db3525_.log
2025-08-14T21:23:23.3787400Z Running 0 items in this shard:
2025-08-14T21:23:23.3787570Z 
2025-08-14T21:23:25.5493220Z Running inductor/test_kernel_benchmark 1/1 ... [2025-08-14 21:23:25.549119]
2025-08-14T21:23:25.5494160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:25.5495380Z Running inductor/test_torchinductor_codegen_dynamic_shapes 1/2 ... [2025-08-14 21:23:25.549171]
2025-08-14T21:23:25.5495830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:25.5496110Z Running inductor/test_cpu_repro 1/1 ... [2025-08-14 21:23:25.549216]
2025-08-14T21:23:25.5496390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:25.5497250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:25.549406]
2025-08-14T21:23:25.5498950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_torchinductor_codegen_dynamic_shapes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:25.549433]
2025-08-14T21:23:25.5500520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_cpu_repro.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:25.549500]
2025-08-14T21:23:28.2933190Z 
2025-08-14T21:23:28.2934000Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_0d5e56520ae67fbf_.log
2025-08-14T21:23:28.2934480Z 
2025-08-14T21:23:28.5191870Z 
2025-08-14T21:23:28.5192420Z inductor/test_cpu_repro 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_repro_1.1_0c9d9585343adeff_.log
2025-08-14T21:23:28.5192870Z 
2025-08-14T21:23:30.6857690Z Running inductor/test_pattern_matcher 1/1 ... [2025-08-14 21:23:30.685548]
2025-08-14T21:23:30.6858510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:30.6860800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:30.685840]
2025-08-14T21:23:30.9885740Z Running inductor/test_triton_wrapper 1/1 ... [2025-08-14 21:23:30.985094]
2025-08-14T21:23:30.9985440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:31.0088150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:30.985771]
2025-08-14T21:23:33.6888960Z 
2025-08-14T21:23:33.6890630Z inductor/test_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_pattern_matcher_1.1_6370d9280190aefb_.log
2025-08-14T21:23:33.6891880Z 
2025-08-14T21:23:33.7490890Z 
2025-08-14T21:23:33.7491720Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_48f387cfcc40cede_.log
2025-08-14T21:23:33.7492200Z 
2025-08-14T21:23:36.0321800Z Running inductor/test_select_algorithm 1/1 ... [2025-08-14 21:23:36.031963]
2025-08-14T21:23:36.0322640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:36.0324950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_select_algorithm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:36.032268]
2025-08-14T21:23:36.0641330Z Running inductor/test_inductor_freezing 1/1 ... [2025-08-14 21:23:36.063990]
2025-08-14T21:23:36.0642040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:36.0644590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_inductor_freezing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:36.064300]
2025-08-14T21:23:38.7267040Z 
2025-08-14T21:23:38.7268340Z inductor/test_select_algorithm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_select_algorithm_1.1_42acbd7d6c121b30_.log
2025-08-14T21:23:38.7268850Z 
2025-08-14T21:23:38.9599790Z 
2025-08-14T21:23:38.9601470Z inductor/test_inductor_freezing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_freezing_1.1_a33a6a6c84f13c6b_.log
2025-08-14T21:23:38.9602470Z Running 0 items in this shard:
2025-08-14T21:23:38.9602610Z 
2025-08-14T21:23:41.2286060Z Running inductor/test_snode_runtime 1/1 ... [2025-08-14 21:23:41.228415]
2025-08-14T21:23:41.2286860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:41.2289160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:41.228697]
2025-08-14T21:23:41.3675560Z Running dynamo/test_cudagraphs 1/1 ... [2025-08-14 21:23:41.367394]
2025-08-14T21:23:41.3675890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:41.3677880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:41.367683]
2025-08-14T21:23:43.6021510Z 
2025-08-14T21:23:43.6023600Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_b556bfb701a5f2ae_.log
2025-08-14T21:23:43.6024860Z 
2025-08-14T21:23:44.0281460Z 
2025-08-14T21:23:44.0282050Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_2e439a0f3b048a50_.log
2025-08-14T21:23:44.0282520Z 
2025-08-14T21:23:46.0192950Z Running inductor/test_halide 1/1 ... [2025-08-14 21:23:46.019081]
2025-08-14T21:23:46.0193730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:46.0196070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:46.019417]
2025-08-14T21:23:46.4740490Z Running inductor/test_triton_syntax 1/1 ... [2025-08-14 21:23:46.473870]
2025-08-14T21:23:46.4742290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:46.4745310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_syntax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:46.474141]
2025-08-14T21:23:48.8763030Z 
2025-08-14T21:23:48.8763830Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_e0b4ee2d349124e8_.log
2025-08-14T21:23:48.8764270Z 
2025-08-14T21:23:49.1192520Z 
2025-08-14T21:23:49.1193380Z inductor/test_triton_syntax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_syntax_1.1_d06822a2e0dde01b_.log
2025-08-14T21:23:49.1193850Z 
2025-08-14T21:23:51.2941050Z Running inductor/test_multi_kernel 1/1 ... [2025-08-14 21:23:51.293890]
2025-08-14T21:23:51.2941860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:51.2945290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:51.294193]
2025-08-14T21:23:51.5247960Z Running inductor/test_triton_extension_backend 1/1 ... [2025-08-14 21:23:51.524603]
2025-08-14T21:23:51.5310450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:51.5314130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:51.525236]
2025-08-14T21:23:54.0770050Z 
2025-08-14T21:23:54.0770890Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_90aceecb898478f0_.log
2025-08-14T21:23:54.0771370Z 
2025-08-14T21:23:54.3686370Z 
2025-08-14T21:23:54.3687100Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_78e010b47de8ca2b_.log
2025-08-14T21:23:54.3687600Z 
2025-08-14T21:23:56.3872970Z Running inductor/test_online_softmax 1/1 ... [2025-08-14 21:23:56.387081]
2025-08-14T21:23:56.3873780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:56.3876070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_online_softmax.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:56.387380]
2025-08-14T21:23:56.8592480Z Running inductor/test_metrics 1/1 ... [2025-08-14 21:23:56.859079]
2025-08-14T21:23:56.8594070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:23:56.8596140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_metrics.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:23:56.859352]
2025-08-14T21:23:59.1986010Z 
2025-08-14T21:23:59.1986900Z inductor/test_online_softmax 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_online_softmax_1.1_14cf9b8f069942b1_.log
2025-08-14T21:23:59.1987580Z 
2025-08-14T21:23:59.5344140Z 
2025-08-14T21:23:59.5345170Z inductor/test_metrics 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_metrics_1.1_ad716728ef49a290_.log
2025-08-14T21:23:59.5345610Z 
2025-08-14T21:24:01.6728800Z Running inductor/test_autoheuristic 1/1 ... [2025-08-14 21:24:01.672670]
2025-08-14T21:24:01.6729630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:01.6732440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:01.672957]
2025-08-14T21:24:01.8727470Z Running inductor/test_op_dtype_prop 1/1 ... [2025-08-14 21:24:01.860475]
2025-08-14T21:24:01.8747890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:01.8907680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_op_dtype_prop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:01.860750]
2025-08-14T21:24:04.4102130Z 
2025-08-14T21:24:04.4104040Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_2a987e5b60d60bf2_.log
2025-08-14T21:24:04.4105720Z 
2025-08-14T21:24:05.4351230Z 
2025-08-14T21:24:05.4352070Z inductor/test_op_dtype_prop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_op_dtype_prop_1.1_57e963fde836a245_.log
2025-08-14T21:24:05.4352540Z 
2025-08-14T21:24:06.8013020Z Running inductor/test_best_config 1/1 ... [2025-08-14 21:24:06.801040]
2025-08-14T21:24:06.8013860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:06.8015780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:06.801327]
2025-08-14T21:24:07.7455960Z Running inductor/test_profiler 1/1 ... [2025-08-14 21:24:07.745416]
2025-08-14T21:24:07.7456280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:07.7458250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:07.745722]
2025-08-14T21:24:09.5030970Z 
2025-08-14T21:24:09.5031820Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_ec7fc4355cbb7a6e_.log
2025-08-14T21:24:09.5032280Z 
2025-08-14T21:24:10.4706360Z 
2025-08-14T21:24:10.4707030Z inductor/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_profiler_1.1_71917e791f5ddb84_.log
2025-08-14T21:24:10.4707460Z 
2025-08-14T21:24:11.8509910Z Running dynamo/test_view 1/1 ... [2025-08-14 21:24:11.850820]
2025-08-14T21:24:11.8510680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:11.8513050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_view.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:11.851101]
2025-08-14T21:24:12.7724490Z Running inductor/test_helion_kernels 1/1 ... [2025-08-14 21:24:12.772295]
2025-08-14T21:24:12.7725170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:12.7726770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_helion_kernels.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:12.772574]
2025-08-14T21:24:14.6389950Z 
2025-08-14T21:24:14.6392450Z dynamo/test_view 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_view_1.1_e565e710ffa8fbae_.log
2025-08-14T21:24:14.6395560Z Running 6 items in this shard: test/dynamo/test_view.py::ViewTests::test_tensor_view_with_tensor_args, test/dynamo/test_view.py::ViewTests::test_tensor_view_with_tensor_shape_params, test/dynamo/test_view.py::ViewTests::test_torch_reshape_with_tensor_shape_params, test/dynamo/test_view.py::ViewTests::test_view_to_1d, test/dynamo/test_view.py::ViewTests::test_view_to_2d, test/dynamo/test_view.py::ViewTests::test_view_with_tensor_shape_params
2025-08-14T21:24:14.6396760Z 
2025-08-14T21:24:15.5831860Z 
2025-08-14T21:24:15.5832490Z inductor/test_helion_kernels 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_helion_kernels_1.1_16d3b677dde4674c_.log
2025-08-14T21:24:15.5834080Z Running 2 items in this shard: test/inductor/test_helion_kernels.py::HelionTests::test_add_kernel, test/inductor/test_helion_kernels.py::HelionTests::test_softmax_view_reshape
2025-08-14T21:24:15.5834550Z 
2025-08-14T21:24:16.9718100Z Running dynamo/test_list 1/1 ... [2025-08-14 21:24:16.971595]
2025-08-14T21:24:16.9718840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:16.9721320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_list.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:16.971881]
2025-08-14T21:24:17.8762800Z Running inductor/test_loop_ordering 1/1 ... [2025-08-14 21:24:17.876076]
2025-08-14T21:24:17.8763130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:17.8764690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:17.876365]
2025-08-14T21:24:20.3663940Z 
2025-08-14T21:24:20.3664680Z dynamo/test_list 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_list_1.1_5e52b50586729d1b_.log
2025-08-14T21:24:20.3671710Z Running 39 items in this shard: test/dynamo/test_list.py::TupleTests::test___contains__, test/dynamo/test_list.py::TupleTests::test___getitem__, test/dynamo/test_list.py::TupleTests::test_binop_add, test/dynamo/test_list.py::TupleTests::test_binop_imul, test/dynamo/test_list.py::TupleTests::test_cmp_eq, test/dynamo/test_list.py::TupleTests::test_cmp_greater_than, test/dynamo/test_list.py::TupleTests::test_cmp_greater_than_or_equal, test/dynamo/test_list.py::TupleTests::test_cmp_less_than, test/dynamo/test_list.py::TupleTests::test_cmp_less_than_or_equal, test/dynamo/test_list.py::TupleTests::test_cmp_ne, test/dynamo/test_list.py::TupleTests::test_count, test/dynamo/test_list.py::TupleTests::test_index, test/dynamo/test_list.py::ListTests::test___contains__, test/dynamo/test_list.py::ListTests::test___delitem__, test/dynamo/test_list.py::ListTests::test___getitem__, test/dynamo/test_list.py::ListTests::test___setitem__, test/dynamo/test_list.py::ListTests::test_append, test/dynamo/test_list.py::ListTests::test_binop_add, test/dynamo/test_list.py::ListTests::test_binop_delitem_global_list, test/dynamo/test_list.py::ListTests::test_binop_iadd, test/dynamo/test_list.py::ListTests::test_binop_iadd_global_list, test/dynamo/test_list.py::ListTests::test_binop_imul, test/dynamo/test_list.py::ListTests::test_binop_imul_global_list, test/dynamo/test_list.py::ListTests::test_clear, test/dynamo/test_list.py::ListTests::test_cmp_eq, test/dynamo/test_list.py::ListTests::test_cmp_greater_than, test/dynamo/test_list.py::ListTests::test_cmp_greater_than_or_equal, test/dynamo/test_list.py::ListTests::test_cmp_less_than, test/dynamo/test_list.py::ListTests::test_cmp_less_than_or_equal, test/dynamo/test_list.py::ListTests::test_cmp_ne, test/dynamo/test_list.py::ListTests::test_copy, test/dynamo/test_list.py::ListTests::test_count, test/dynamo/test_list.py::ListTests::test_extend, test/dynamo/test_list.py::ListTests::test_index, test/dynamo/test_list.py::ListTests::test_insert, test/dynamo/test_list.py::ListTests::test_pop, test/dynamo/test_list.py::ListTests::test_remove, test/dynamo/test_list.py::ListTests::test_reverse, test/dynamo/test_list.py::ListTests::test_sort
2025-08-14T21:24:20.3677100Z 
2025-08-14T21:24:20.5373240Z 
2025-08-14T21:24:20.5374200Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_ce5b6b00c83d4619_.log
2025-08-14T21:24:20.5374640Z 
2025-08-14T21:24:22.7352180Z Running dynamo/test_utils 1/1 ... [2025-08-14 21:24:22.735016]
2025-08-14T21:24:22.7352920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:22.7354990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:22.735302]
2025-08-14T21:24:22.8087170Z Running inductor/test_ordered_set 1/1 ... [2025-08-14 21:24:22.808507]
2025-08-14T21:24:22.8087960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:22.8089320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_ordered_set.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:22.808787]
2025-08-14T21:24:26.3399850Z 
2025-08-14T21:24:26.3400750Z inductor/test_ordered_set 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ordered_set_1.1_2bff851dfae81d12_.log
2025-08-14T21:24:26.3476160Z Running 401 items in this shard: test/inductor/test_ordered_set.py::TestJointOps::test_and, test/inductor/test_ordered_set.py::TestJointOps::test_badcmp, test/inductor/test_ordered_set.py::TestJointOps::test_container_iterator, test/inductor/test_ordered_set.py::TestJointOps::test_contains, test/inductor/test_ordered_set.py::TestJointOps::test_cyclical_repr, test/inductor/test_ordered_set.py::TestJointOps::test_deepcopy, test/inductor/test_ordered_set.py::TestJointOps::test_difference, test/inductor/test_ordered_set.py::TestJointOps::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestJointOps::test_equality, test/inductor/test_ordered_set.py::TestJointOps::test_free_after_iterating, test/inductor/test_ordered_set.py::TestJointOps::test_gc, test/inductor/test_ordered_set.py::TestJointOps::test_intersection, test/inductor/test_ordered_set.py::TestJointOps::test_isdisjoint, test/inductor/test_ordered_set.py::TestJointOps::test_iterator_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_len, test/inductor/test_ordered_set.py::TestJointOps::test_new_or_init, test/inductor/test_ordered_set.py::TestJointOps::test_or, test/inductor/test_ordered_set.py::TestJointOps::test_pickling, test/inductor/test_ordered_set.py::TestJointOps::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestJointOps::test_sub, test/inductor/test_ordered_set.py::TestJointOps::test_sub_and_super, test/inductor/test_ordered_set.py::TestJointOps::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestJointOps::test_symmetric_difference, test/inductor/test_ordered_set.py::TestJointOps::test_union, test/inductor/test_ordered_set.py::TestJointOps::test_uniquification, test/inductor/test_ordered_set.py::TestJointOps::test_xor, test/inductor/test_ordered_set.py::TestSet::test_add, test/inductor/test_ordered_set.py::TestSet::test_and, test/inductor/test_ordered_set.py::TestSet::test_badcmp, test/inductor/test_ordered_set.py::TestSet::test_clear, test/inductor/test_ordered_set.py::TestSet::test_constructor_identity, test/inductor/test_ordered_set.py::TestSet::test_container_iterator, test/inductor/test_ordered_set.py::TestSet::test_contains, test/inductor/test_ordered_set.py::TestSet::test_copy, test/inductor/test_ordered_set.py::TestSet::test_cyclical_repr, test/inductor/test_ordered_set.py::TestSet::test_deepcopy, test/inductor/test_ordered_set.py::TestSet::test_difference, test/inductor/test_ordered_set.py::TestSet::test_difference_update, test/inductor/test_ordered_set.py::TestSet::test_discard, test/inductor/test_ordered_set.py::TestSet::test_do_not_rehash_dict_keys, test/inductor/test_ordered_set.py::TestSet::test_equality, test/inductor/test_ordered_set.py::TestSet::test_free_after_iterating, test/inductor/test_ordered_set.py::TestSet::test_gc, test/inductor/test_ordered_set.py::TestSet::test_hash, test/inductor/test_ordered_set.py::TestSet::test_iand, test/inductor/test_ordered_set.py::TestSet::test_init, test/inductor/test_ordered_set.py::TestSet::test_inplace_on_self, test/inductor/test_ordered_set.py::TestSet::test_intersection, test/inductor/test_ordered_set.py::TestSet::test_intersection_update, test/inductor/test_ordered_set.py::TestSet::test_ior, test/inductor/test_ordered_set.py::TestSet::test_isdisjoint, test/inductor/test_ordered_set.py::TestSet::test_isub, test/inductor/test_ordered_set.py::TestSet::test_iterator_pickling, test/inductor/test_ordered_set.py::TestSet::test_ixor, test/inductor/test_ordered_set.py::TestSet::test_len, test/inductor/test_ordered_set.py::TestSet::test_new_or_init, test/inductor/test_ordered_set.py::TestSet::test_or, test/inductor/test_ordered_set.py::TestSet::test_pickling, test/inductor/test_ordered_set.py::TestSet::test_pop, test/inductor/test_ordered_set.py::TestSet::test_remove, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_set, test/inductor/test_ordered_set.py::TestSet::test_remove_keyerror_unpacking, test/inductor/test_ordered_set.py::TestSet::test_rich_compare, test/inductor/test_ordered_set.py::TestSet::test_setOfFrozensets, test/inductor/test_ordered_set.py::TestSet::test_set_literal, test/inductor/test_ordered_set.py::TestSet::test_set_literal_evaluation_order, test/inductor/test_ordered_set.py::TestSet::test_set_literal_insertion_order, test/inductor/test_ordered_set.py::TestSet::test_sub, test/inductor/test_ordered_set.py::TestSet::test_sub_and_super, test/inductor/test_ordered_set.py::TestSet::test_subclass_with_custom_hash, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference, test/inductor/test_ordered_set.py::TestSet::test_symmetric_difference_update, test/inductor/test_ordered_set.py::TestSet::test_union, test/inductor/test_ordered_set.py::TestSet::test_uniquification, test/inductor/test_ordered_set.py::TestSet::test_update, test/inductor/test_ordered_set.py::TestSet::test_weakref, test/inductor/test_ordered_set.py::TestSet::test_xor, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_length, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsEmpty::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_length, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsSingleton::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_not_in, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTuple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_length, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsTriple::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsString::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsString::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsString::test_length, test/inductor/test_ordered_set.py::TestBasicOpsString::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsString::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsString::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsString::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsBytes::test_union_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_copy, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_difference_rev, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_empty_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_equivalent_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_intersection_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_isdisjoint_empty, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_issue_37219, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_iteration, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_length, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_pickling, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_repr, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_equality, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_intersection, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_isdisjoint, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_symmetric_difference, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_self_union, test/inductor/test_ordered_set.py::TestBasicOpsMixedStringBytes::test_union_empty, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_changingSizeWhileIterating, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instanceWithException, test/inductor/test_ordered_set.py::TestExceptionPropagation::test_instancesWithoutException, test/inductor/test_ordered_set.py::TestSetOfSets::test_constructor, test/inductor/test_ordered_set.py::TestBinaryOps::test_eq, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_isdisjoint_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_overlap, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_subset, test/inductor/test_ordered_set.py::TestBinaryOps::test_union_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_intersection_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_sym_difference_superset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_method_call, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_non_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_overlap, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_subset, test/inductor/test_ordered_set.py::TestUpdateOps::test_union_superset, test/inductor/test_ordered_set.py::TestMutate::test_add_absent, test/inductor/test_ordered_set.py::TestMutate::test_add_present, test/inductor/test_ordered_set.py::TestMutate::test_add_until_full, test/inductor/test_ordered_set.py::TestMutate::test_clear, test/inductor/test_ordered_set.py::TestMutate::test_discard_absent, test/inductor/test_ordered_set.py::TestMutate::test_discard_present, test/inductor/test_ordered_set.py::TestMutate::test_pop, test/inductor/test_ordered_set.py::TestMutate::test_remove_absent, test/inductor/test_ordered_set.py::TestMutate::test_remove_present, test/inductor/test_ordered_set.py::TestMutate::test_remove_until_empty, test/inductor/test_ordered_set.py::TestMutate::test_update_empty_tuple, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_non_overlap, test/inductor/test_ordered_set.py::TestMutate::test_update_unit_tuple_overlap, test/inductor/test_ordered_set.py::TestSubsets::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEqualNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetEmptyNonEmpty::test_issubset, test/inductor/test_ordered_set.py::TestSubsetPartial::test_issubset, test/inductor/test_ordered_set.py::TestSubsetNonOverlap::test_issubset, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_union, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update, test/inductor/test_ordered_set.py::TestOnlySetsNumeric::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_union, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update, test/inductor/test_ordered_set.py::TestOnlySetsDict::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsOperator::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_union, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update, test/inductor/test_ordered_set.py::TestOnlySetsTuple::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsString::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsString::test_union, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update, test/inductor/test_ordered_set.py::TestOnlySetsString::test_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_eq_ne, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_ge_gt_le_lt, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_intersection_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_sym_difference_update_operator, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_union, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update, test/inductor/test_ordered_set.py::TestOnlySetsGenerator::test_update_operator, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_copy, test/inductor/test_ordered_set.py::TestCopyingEmpty::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_copy, test/inductor/test_ordered_set.py::TestCopyingSingleton::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTriple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_copy, test/inductor/test_ordered_set.py::TestCopyingTuple::test_deep_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_copy, test/inductor/test_ordered_set.py::TestCopyingNested::test_deep_copy, test/inductor/test_ordered_set.py::TestIdentities::test_binopsVsSubsets, test/inductor/test_ordered_set.py::TestIdentities::test_commutativity, test/inductor/test_ordered_set.py::TestIdentities::test_exclusion, test/inductor/test_ordered_set.py::TestIdentities::test_summations, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_constructor, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inline_methods, test/inductor/test_ordered_set.py::TestVariousIteratorArgs::test_inplace_methods, test/inductor/test_ordered_set.py::TestWeirdBugs::test_8420_set_merge, test/inductor/test_ordered_set.py::TestWeirdBugs::test_iter_and_mutate, test/inductor/test_ordered_set.py::TestWeirdBugs::test_merge_and_mutate, test/inductor/test_ordered_set.py::TestGraphs::test_cube, test/inductor/test_ordered_set.py::TestGraphs::test_cuboctahedron
2025-08-14T21:24:26.3548520Z 
2025-08-14T21:24:28.4830210Z Running inductor/test_decompose_mem_bound_mm 1/1 ... [2025-08-14 21:24:28.482807]
2025-08-14T21:24:28.4831100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:28.4834140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_decompose_mem_bound_mm.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:28.483094]
2025-08-14T21:24:31.1896060Z 
2025-08-14T21:24:31.1897870Z inductor/test_decompose_mem_bound_mm 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_decompose_mem_bound_mm_1.1_94c53774ea06fed4_.log
2025-08-14T21:24:31.1913360Z Running 37 items in this shard: test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_check_device, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_10240_m_2_k_32_n_32_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_b_2000_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_1_m_2_k_2_n_2_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_bmm_cpu_b_2_m_2_k_2_n_2_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_linear_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_16_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_1_k_64_n_32_should_decompose_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_cpu_m_2_k_64_n_16_should_decompose_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_32_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_decompose_mm_mixed_precision_m_2048_k_2_n_2_should_decompose_False_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_decompose_addmm, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_False, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_dynamic_shape_m_20480_k_5_n_2_should_decompose_True_has_bias_True, test/inductor/test_decompose_mem_bound_mm.py::TestDecomposeMemMM::test_realize_input
2025-08-14T21:24:31.1925620Z 
2025-08-14T21:24:33.3346780Z Running dynamo/test_dicts 1/1 ... [2025-08-14 21:24:33.334480]
2025-08-14T21:24:33.3347540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:33.3349580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_dicts.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:33.334758]
2025-08-14T21:24:36.9150070Z 
2025-08-14T21:24:36.9150740Z dynamo/test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_utils_1.1_2b00141cecb3973a_.log
2025-08-14T21:24:36.9154320Z Running 13 items in this shard: test/dynamo/test_utils.py::TestUtils::test_graph_break_counting, test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_even_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_larger_multiplier_for_smaller_tensor, test/dynamo/test_utils.py::TestUtils::test_nan, test/dynamo/test_utils.py::TestUtils::test_traced_code_query, test/dynamo/test_utils.py::TestDynamoTimed::test_dynamic_shape_feature_use, test/dynamo/test_utils.py::TestDynamoTimed::test_dynamo_timed, test/dynamo/test_utils.py::TestDynamoTimed::test_graph_node_shapes, test/dynamo/test_utils.py::TestDynamoTimed::test_ir_count, test/dynamo/test_utils.py::TestDynamoTimed::test_num_params, test/dynamo/test_utils.py::TestDynamoTimed::test_stack_trace, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_jsonify, test/dynamo/test_utils.py::TestInductorConfigParsingForLogging::test_inductor_config_parsing_non_conforming_items
2025-08-14T21:24:36.9156720Z 
2025-08-14T21:24:39.1312680Z Running dynamo/test_install_free_tensors 1/1 ... [2025-08-14 21:24:39.131051]
2025-08-14T21:24:39.1313530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:39.1315850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_install_free_tensors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:39.131386]
2025-08-14T21:24:39.5989190Z 
2025-08-14T21:24:39.5990480Z dynamo/test_dicts 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_dicts_1.1_d5ca0a1304f6e64c_.log
2025-08-14T21:24:39.6039880Z Running 105 items in this shard: test/dynamo/test_dicts.py::DictTests::test_builtin_ior_, test/dynamo/test_dicts.py::DictTests::test_builtin_or_with_diff_keys, test/dynamo/test_dicts.py::DictTests::test_builtin_or_with_invalid_types, test/dynamo/test_dicts.py::DictTests::test_builtin_or_with_same_keys, test/dynamo/test_dicts.py::DictTests::test_contains_dunder_dict, test/dynamo/test_dicts.py::DictTests::test_contains_module_dunder_dict, test/dynamo/test_dicts.py::DictTests::test_custom_iter_dict, test/dynamo/test_dicts.py::DictTests::test_custom_keys_iter_dict, test/dynamo/test_dicts.py::DictTests::test_dict_construction_from_mapping_proxy, test/dynamo/test_dicts.py::DictTests::test_dict_contains, test/dynamo/test_dicts.py::DictTests::test_dict_copy_alias, test/dynamo/test_dicts.py::DictTests::test_dict_guard_on_keys_order, test/dynamo/test_dicts.py::DictTests::test_dict_guard_on_keys_order2, test/dynamo/test_dicts.py::DictTests::test_dict_iter, test/dynamo/test_dicts.py::DictTests::test_dict_keys_binop_op_and_, test/dynamo/test_dicts.py::DictTests::test_dict_keys_binop_op_or_, test/dynamo/test_dicts.py::DictTests::test_dict_keys_binop_op_sub, test/dynamo/test_dicts.py::DictTests::test_dict_keys_binop_op_xor, test/dynamo/test_dicts.py::DictTests::test_dict_keys_inplace_binop_op_iand, test/dynamo/test_dicts.py::DictTests::test_dict_keys_inplace_binop_op_ior, test/dynamo/test_dicts.py::DictTests::test_dict_keys_inplace_binop_op_isub, test/dynamo/test_dicts.py::DictTests::test_dict_keys_inplace_binop_op_ixor, test/dynamo/test_dicts.py::DictTests::test_dict_list_values, test/dynamo/test_dicts.py::DictTests::test_dict_mutation_side_effect, test/dynamo/test_dicts.py::DictTests::test_dict_namedtuple, test/dynamo/test_dicts.py::DictTests::test_dict_order_keys, test/dynamo/test_dicts.py::DictTests::test_dict_order_keys_modules, test/dynamo/test_dicts.py::DictTests::test_dict_order_keys_tensors, test/dynamo/test_dicts.py::DictTests::test_dict_reconstruct_keeps_original_order, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_contains, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_get_method, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_initialization_in_graph, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_instantiation, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_instantiation_return, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_local_mutation, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_local_with_non_dict_method, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_methods_fallback_mutation, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_methods_fallback_readonly, test/dynamo/test_dicts.py::DictTests::test_dict_subclass_setitem, test/dynamo/test_dicts.py::DictTests::test_dict_tag_guard, test/dynamo/test_dicts.py::DictTests::test_empty_dict_recompilation, test/dynamo/test_dicts.py::DictTests::test_fn_id, test/dynamo/test_dicts.py::DictTests::test_items_type, test/dynamo/test_dicts.py::DictTests::test_lazy_key_guarding, test/dynamo/test_dicts.py::DictTests::test_lazy_key_non_const_guarding, test/dynamo/test_dicts.py::DictTests::test_mapping_proxy_existing, test/dynamo/test_dicts.py::DictTests::test_mapping_proxy_existing_local_mutation, test/dynamo/test_dicts.py::DictTests::test_mapping_proxy_existing_mutation, test/dynamo/test_dicts.py::DictTests::test_mapping_proxy_for_local, test/dynamo/test_dicts.py::DictTests::test_mapping_proxy_for_nonlocal, test/dynamo/test_dicts.py::DictTests::test_move_to_end, test/dynamo/test_dicts.py::DictTests::test_newly_constructed_default_dict, test/dynamo/test_dicts.py::DictTests::test_ordered_dict_reordered_keys, test/dynamo/test_dicts.py::DictTests::test_ordered_dict_subclass_reordered_keys, test/dynamo/test_dicts.py::DictTests::test_overridden_get_item, test/dynamo/test_dicts.py::DictTests::test_udf_dict_reconstruction, test/dynamo/test_dicts.py::DictTests::test_update_dunder_dict, test/dynamo/test_dicts.py::DictTests::test_update_module_dunder_dict, test/dynamo/test_dicts.py::DictTests::test_weakref_dict, test/dynamo/test_dicts.py::DictGuardTests::test_cmp_eq, test/dynamo/test_dicts.py::DictGuardTests::test_cmp_ne, test/dynamo/test_dicts.py::DictGuardTests::test_popitem, test/dynamo/test_dicts.py::DictMethodsTests::test_binop_or, test/dynamo/test_dicts.py::DictMethodsTests::test_clear, test/dynamo/test_dicts.py::DictMethodsTests::test_cmp_eq, test/dynamo/test_dicts.py::DictMethodsTests::test_cmp_ne, test/dynamo/test_dicts.py::DictMethodsTests::test_copy, test/dynamo/test_dicts.py::DictMethodsTests::test_fromkeys, test/dynamo/test_dicts.py::DictMethodsTests::test_get, test/dynamo/test_dicts.py::DictMethodsTests::test_items, test/dynamo/test_dicts.py::DictMethodsTests::test_keys, test/dynamo/test_dicts.py::DictMethodsTests::test_pop, test/dynamo/test_dicts.py::DictMethodsTests::test_popitem, test/dynamo/test_dicts.py::DictMethodsTests::test_setdefault, test/dynamo/test_dicts.py::DictMethodsTests::test_update, test/dynamo/test_dicts.py::DictMethodsTests::test_values, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_binop_or, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_clear, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_cmp_eq, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_cmp_ne, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_copy, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_fromkeys, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_get, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_items, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_keys, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_pop, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_popitem, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_setdefault, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_update, test/dynamo/test_dicts.py::DictSubclassMethodsTests::test_values, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_binop_or, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_clear, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_cmp_eq, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_cmp_eq_order, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_cmp_ne, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_copy, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_fromkeys, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_get, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_items, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_keys, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_pop, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_popitem, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_setdefault, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_update, test/dynamo/test_dicts.py::OrderedDictMethodsTests::test_values
2025-08-14T21:24:39.6087760Z 
2025-08-14T21:24:41.7912540Z Running dynamo/test_fx_graph_runnable 1/1 ... [2025-08-14 21:24:41.791045]
2025-08-14T21:24:41.7913360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:24:41.7915510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_fx_graph_runnable.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:24:41.791353]
2025-08-14T21:24:58.1485320Z 
2025-08-14T21:24:58.1485910Z dynamo/test_install_free_tensors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_install_free_tensors_1.1_034516c3414e1e85_.log
2025-08-14T21:24:58.1498230Z Running 25 items in this shard: test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_breadth_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nested_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_nets_as_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_linear, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsAsGraphAttrTests::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_dict_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_global_tensor_export, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_modify_net_state, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nested_list_of_tensor, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_nonlocal_closure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_and_param_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_buffer_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_optimizing_params_in_input, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_resnet_structure, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_batchnorm, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_simple_linear, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_tensors_as_nn_attr, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_transformer, test/dynamo/test_install_free_tensors.py::InstallParamsWhenExport::test_user_defined_object
2025-08-14T21:24:58.1504820Z 
2025-08-14T21:25:00.4928130Z Running dynamo/test_autograd_function 1/1 ... [2025-08-14 21:25:00.492548]
2025-08-14T21:25:00.4928990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:00.4931320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:00.492863]
2025-08-14T21:25:07.5129740Z 
2025-08-14T21:25:07.5131380Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_b9c28b4b49ad5fe3_.log
2025-08-14T21:25:07.5142840Z Running 40 items in this shard: test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_allow_in_graph, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_amp_custom_fwd_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_after_matmul, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_on_grad_output_directly, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_equivalence, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_has_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_backward_returns_none_for_tensor_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_classmethod, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_data_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_default_values, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_enum_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_forward_returns_constant, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_mark_and_save, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_save_and_mark, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_with_bound_free_variable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_no_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_propogation_correctness, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_linear_setup_context, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_multi_output_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_materialize_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multi_output, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multiple_different_non_tensor_inputs, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_needs_input_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_once_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_print_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_repeated_save_for_backward_calls, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_requires_grad_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_save_for_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_set_materialize_grads_no_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smoke_from_test_autograd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_symint_issue_111031, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_tensor_and_complex_structures, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_stride_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_list_as_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_subclass_intermediary_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_basic, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_multiple_out, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tuple_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_user_defined_object_as_input
2025-08-14T21:25:07.5152530Z 
2025-08-14T21:25:09.8651070Z Running export/test_cpp_serdes 1/1 ... [2025-08-14 21:25:09.864905]
2025-08-14T21:25:09.8652280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:09.8654600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_cpp_serdes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:09.865190]
2025-08-14T21:25:25.3022560Z 
2025-08-14T21:25:25.3023720Z dynamo/test_fx_graph_runnable 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fx_graph_runnable_1.1_c677e0c003957ab8_.log
2025-08-14T21:25:25.3032890Z Running 15 items in this shard: test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_gather_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_all_reduce_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_basic_tensor_add, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_add_dynamic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_broadcast_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dtensor_compile_redistribute, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_dynamic_shapes_run, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_reduce_scatter_collective, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_scalar_multiply, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_basic, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_batch_processing, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_toy_model_dynamic_batch, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_two_inputs_matmul, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_user_defined_triton_kernel, test/dynamo/test_fx_graph_runnable.py::FxGraphRunnableTest::test_user_defined_triton_kernel_autotune
2025-08-14T21:25:25.3036730Z 
2025-08-14T21:25:27.4967940Z Running dynamo/test_config 1/1 ... [2025-08-14 21:25:27.496526]
2025-08-14T21:25:27.4968700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:27.4970870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:27.496823]
2025-08-14T21:25:30.5626010Z 
2025-08-14T21:25:30.5626890Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_a26a356c9805321b_.log
2025-08-14T21:25:30.5629390Z Running 5 items in this shard: test/dynamo/test_config.py::ConfigTests::test_automatic_dynamic, test/dynamo/test_config.py::ConfigTests::test_config_compile_ignored, test/dynamo/test_config.py::ConfigTests::test_config_hash, test/dynamo/test_config.py::ConfigTests::test_no_assume_static_by_default, test/dynamo/test_config.py::ConfigTests::test_no_automatic_dynamic
2025-08-14T21:25:30.5630350Z 
2025-08-14T21:25:32.7617090Z Running export/test_package 1/1 ... [2025-08-14 21:25:32.761501]
2025-08-14T21:25:32.7618340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:32.7620830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:32.761789]
2025-08-14T21:25:35.2313660Z 
2025-08-14T21:25:35.2314190Z export/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_package_1.1_f00299c658295511_.log
2025-08-14T21:25:35.2316190Z Running 4 items in this shard: test/export/test_package.py::TestPackage::test_basic, test/export/test_package.py::TestPackage::test_error, test/export/test_package.py::TestPackage::test_more_than_once, test/export/test_package.py::TestPackage::test_overloads
2025-08-14T21:25:35.2316900Z 
2025-08-14T21:25:37.5187610Z Running inductor/test_benchmarking 1/1 ... [2025-08-14 21:25:37.518573]
2025-08-14T21:25:37.5189150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:37.5191810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_benchmarking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:37.518869]
2025-08-14T21:25:40.4996050Z 
2025-08-14T21:25:40.4996940Z inductor/test_benchmarking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmarking_1.1_d7737ba6603b67df_.log
2025-08-14T21:25:40.5001630Z Running 12 items in this shard: test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_cpu_smoke_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_cpu_smoke_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_gpu_smoke_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_gpu_smoke_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_many_devices_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_many_devices_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_no_devices_benchmarker_cls0, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_safely_infers_device_no_devices_benchmarker_cls1, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls0_device_cpu, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls0_device_mps, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls1_device_cpu, test/inductor/test_benchmarking.py::TestBenchmarker::test_benchmark_smoke_benchmarker_cls1_device_mps
2025-08-14T21:25:40.5005190Z 
2025-08-14T21:25:42.7343470Z Running dynamo/test_reconstruct 1/1 ... [2025-08-14 21:25:42.734131]
2025-08-14T21:25:42.7344260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:42.7346380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:42.734423]
2025-08-14T21:25:46.0295890Z 
2025-08-14T21:25:46.0296440Z dynamo/test_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reconstruct_1.1_4ae9d8c951661b4e_.log
2025-08-14T21:25:46.0301450Z Running 16 items in this shard: test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_clear_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_del_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_get_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_optimize_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_pop_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_popitem_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_ConstDict_popitem_reconstruct_graph_break, test/dynamo/test_reconstruct.py::ReconstructTest::test_create_dict_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_functional_call_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_functional_call_reconstruct_2, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_nested_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_skipped_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_user_function, test/dynamo/test_reconstruct.py::ReconstructTest::test_graph_break_in_wrapped_user_method, test/dynamo/test_reconstruct.py::ReconstructTest::test_tma_experimental_reconstruct, test/dynamo/test_reconstruct.py::ReconstructTest::test_tma_stable_reconstruct
2025-08-14T21:25:46.0305160Z 
2025-08-14T21:25:48.2613040Z Running inductor/test_inductor_scheduler 1/1 ... [2025-08-14 21:25:48.261106]
2025-08-14T21:25:48.2613900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:48.2616080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_inductor_scheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:48.261408]
2025-08-14T21:25:51.0449790Z 
2025-08-14T21:25:51.0451920Z inductor/test_inductor_scheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_inductor_scheduler_1.1_7cdfaac0195469f8_.log
2025-08-14T21:25:51.0456360Z Running 6 items in this shard: test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_disable_get_estimated_runtime_logging_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options0_cpu_float32, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float16, test/inductor/test_inductor_scheduler.py::TestSchedulerCPU::test_flop_counter_op_options1_cpu_float32
2025-08-14T21:25:51.0458450Z 
2025-08-14T21:25:53.2593650Z Running dynamo/test_compile 1/1 ... [2025-08-14 21:25:53.259159]
2025-08-14T21:25:53.2594930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:25:53.2597840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:25:53.259460]
2025-08-14T21:25:58.4550590Z 
2025-08-14T21:25:58.4552140Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_1bc94fc5cd35811c_.log
2025-08-14T21:25:58.4563830Z Running 17 items in this shard: test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_constant_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_evnum_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_name_error, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_nn_module_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_tensor_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compile_eager_options, test/dynamo/test_compile.py::InPlaceCompilationTests::test_jit_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_list_bad_access, test/dynamo/test_compile.py::InPlaceCompilationTests::test_overwrite_call_impl, test/dynamo/test_compile.py::InPlaceCompilationTests::test_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_state_dict_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_to_sparse_to_dense_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_torch_script_compilation, test/dynamo/test_compile.py::PublicTorchCompilerTests::test_dynamo_signatures
2025-08-14T21:25:58.4574570Z 
2025-08-14T21:26:00.6971160Z Running inductor/test_compile 1/1 ... [2025-08-14 21:26:00.696918]
2025-08-14T21:26:00.6971930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:00.6974010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:00.697202]
2025-08-14T21:26:05.7853480Z 
2025-08-14T21:26:05.7854170Z export/test_cpp_serdes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_cpp_serdes_1.1_99e5cad0192a42b5_.log
2025-08-14T21:26:05.7955990Z Running 400 items in this shard: test/export/test_cpp_serdes.py::CppSerdesTestExport::test__scaled_dot_product_flash_attention_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_additional_inputs_constants_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_allow_explicit_guards_as_runtime_asserts_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_args_type_checked_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_aten_lift_fresh_copy_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_attention_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_attr_assignment_extra_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_automatic_constrain_size_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_automatic_dynamic_shapes_constant_relation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_automatic_dynamic_shapes_linear_relation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_automatic_dynamic_shapes_simple_equality_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_baddbmm_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_basic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_basic_non_strict_fake_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_basic_non_strict_real_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_bincount_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_buffer_util_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_capture_subclass_constructor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_capture_subclass_constructor_torch_ir_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_capture_subclass_wrong_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_ccode_python_mod_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_check_specialized_int_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_checks_to_constrain_range_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_cleanup_dynamic_markers_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_colin_unbacked_backed_vr_sub_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_colon_parameter_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_compiling_state_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_cond_access_identical_symint_closure_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_cond_branches_return_constant_int_cpp_serdes, 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test/export/test_cpp_serdes.py::CppSerdesTestExport::test_distributed_all_reduce_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_distributed_all_to_all_single_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_distributed_reduce_scatter_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_dont_duck_size_for_auto_dynamic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_double_lifted_constants_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_draft_export_checks_aliasing_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_draft_export_checks_mutation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_draft_export_checks_mutation_list_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_draft_export_checks_mutation_with_nan_cpp_serdes, 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test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_cond_symbool_pred_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_cond_warns_constant_pred_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_custom_decomp_table_basic_pop_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_custom_decomp_table_container_methods_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_custom_op_lib_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_custom_triton_kernel_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_custom_triton_kernel_mutable_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_decomp_torture_case_1_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_decomp_torture_case_2_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_decomps_dynamic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_decomps_simple_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_dynamo_config_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_for_training_run_decomp_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_for_training_with_container_type_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_for_training_with_dynamic_shapes_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_for_training_with_mutation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_for_training_with_state_dict_hooks_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_default_kwargs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_keyword_only_args_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_kwargs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_pytree_kwargs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_var_keyword_args_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_var_keyword_pytree_args_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_func_with_var_postional_args_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_function_schema_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_graph_with_no_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_input_mutation_bug_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_input_mutation_dynamic_shape_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_input_mutation_static_shape_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_linear_preserve_dynamic_shape_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_max_nonstrict_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_max_onnx_reported_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_method_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_mod_constraints_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_module_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_preserve_linear_at_aot_level_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_preserve_linear_but_not_custom_op_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_scan_pytree_output_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_script_module_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_statically_known_true_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_then_compile_tensor_ctor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_autocast_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_fake_tensor_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_inline_constraints_complex_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_inline_constraints_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_set_grad_enabled_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_export_with_wrong_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_external_call_non_strict_real_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_fake_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_fake_weights_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_filter_traceback_frames_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_float_conversion_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_float_conversion_from_int_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_fqn_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_from_node_metadata_export_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_full_on_scalar_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_hints_wrapper_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_hoo_inline_users_issue_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_if_functional_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_if_post_autograd_op_preserved_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_inline_script_class_method_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_inline_script_class_method_recursive_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_inline_script_function_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_inline_script_method_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_int_shape_specialization_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_intermediate_shape_comp_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_is_exporting_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_is_non_negative_check_function_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_is_nonzero_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_isnonzero_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_issue_113041_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_issue_157289_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_istft_op_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_keep_composite_ops_invalid_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_keep_composite_ops_linear_convd_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_keep_composite_ops_linear_convd_for_training_ir_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_kwarg_dynamic_shapes_diff_order_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_kwargs_reorder_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_layer_sharing_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_lazy_module_kwargs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_lifted_constants_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_linear_conv_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_malformed_fqn_from_source_name_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_map_buffers_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_map_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_mask_nonzero_static_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_masked_select_dynamic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_math_pow_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_mismatched_dynamic_shapes_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_mixed_input_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_dict_key_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_input_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_input_subclasses_parameterization_nested_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_list_slice_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_module_with_dict_container_inp_out_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_modules_access_for_deleted_submodule_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_more_multidimensional_slicing_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_multidimensional_slicing_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_multinomial_dynamic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_multiple_definitions_same_name_dim_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nested_dynamic_shapes_spec_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nested_module_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nested_module_with_constant_buffer_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nested_module_with_init_buffer_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nested_module_with_parameter_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nn_module_stack_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nn_module_stack_shared_submodule_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_check_is_size_error_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_suggested_fixes_for_data_dependent_errors_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_tensor_computation_2_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_tensor_computation_3_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_tensor_computation_4_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_no_tensor_computation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_arg_name_dynamic_shapes_api_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_persistent_buffer_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_strict_dynamic_shapes_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_non_strict_dynamic_shapes_suggested_fixes_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_none_buffers_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nonstrict_retrace_preserves_metadata_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nonzero_2_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_nonzero_dynamic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_not_registered_parameter_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_operator_aten_tensor_mode_variant_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_output_node_name_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_pad_sequence_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_param_util_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_partial_patched_forward_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_placeholder_naming_collisions_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_placeholder_naming_collisions_hoo_subgraphs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_placeholder_naming_order_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_placeholder_naming_order_variadic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_placeholder_update_preserving_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_predispatch_cond_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_predispatch_grad_wrappers_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_preserve_module_call_signature_unflatten_specialization_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_preserve_requires_grad_placeholders_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_preserve_shape_dynamism_for_unused_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_profiling_code_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_python_asserts_with_sym_int_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_pytree_register_data_class_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_pytree_register_nested_data_class_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_range_constraints_with_replacement_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_real_tensor_alias_dtype_mismatch_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_real_tensor_bool_cast_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_real_tensor_errors_on_aliasing_custom_op_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_real_tensor_for_max_op_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_real_tensor_size_mismatch_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_redundant_assert_max_upper_bound_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_redundant_asserts_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_refine_dynamic_shapes_from_suggested_fixes_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_register_constant_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_repeat_interleave_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_replace_unbacked_with_very_large_upperbound_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_replaced_unbacked_bindings_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_reshape_view_helper_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_retracable_ep_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_retrace_pre_autograd_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_run_decomposition_supports_user_input_mutation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_run_decompositions_keep_metadata_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_run_decompositions_keep_tensor_constant_metadata_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_runtime_assert_for_prim_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_runtime_assert_for_prm_str_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_runtime_assert_with_size_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_sdpa_gqa_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_sequential_slicing_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_set_example_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_set_grad_as_side_effect_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_set_grad_empty_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_set_grad_unflatten_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_setgrad_lifted_tensor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_shared_submodule_nn_module_stack_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_simple_export_for_training_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_simple_unbacked_view_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_size_input_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_slice_nn_module_stack_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_solver_unsupported_sympy_function_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_specialize_derived_dim_roots_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_split_const_gm_with_lifted_constants_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_stack_trace_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_stack_trace_make_fx_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_state_primitives_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_state_shape_attribute_assignment_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_state_tensors_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_static_dim_constraints_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclass_nested_attr_access_complicated_metadata_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclass_nested_attr_access_const_metadata_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclass_nested_attr_access_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclass_nested_attr_access_submodule_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclasses_parameterization_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_subclasses_parameterization_nested_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_suggest_torch_checks_with_non_negative_check_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_suggest_torch_checks_with_regular_check_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_suggested_fixes_for_data_dependent_errors_basic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_suggested_fixes_new_roots_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_sym_float_operators_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_sym_or_sym_and_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_sym_sqrt_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symbool_item_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symfloat_item_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_input_additional_inputs_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_input_basic_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_input_ranges_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_input_shapes_collection_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_input_specialization_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_item_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_output_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_symint_tensor_return_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_tensor_attribute_zero_args_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_tensor_constant_aten_to_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_tensor_constant_with_wrapped_method_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_to_module_with_mutated_buffer_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_to_module_with_mutated_buffer_multiple_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_tolist_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_torch_check_eq_commutativity_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_torch_fn_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_trace_under_fake_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_train_eval_on_exported_preautograd_module_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_3d_matmul_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_bincount_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_bindings_for_divisible_u_symint_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_deferred_runtime_retrace_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_expand_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_infer_size_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_kth_value_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_linear_layer_norm_input_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_noncontig_lin_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_pad_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_scalar_constructor_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_slice_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_to_cond_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_to_cond_passthrough_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unbacked_unsqueeze_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_asserts_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_buffer_update_child2parent_swap_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_closure_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_isinstance_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_multiple_graphs_dispatch_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_multiple_graphs_shared_submodule_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_multiple_graphs_state_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_no_unroll_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_placeholder_update_child2parent_swap_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_5_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_6_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_buf_8_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_const_preserving_3_1_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_const_preserving_3_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_4_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_6_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_9_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unflatten_random_dag_preserving_4_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unused_aliases_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_unused_constant_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_use_embedding_twice_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_user_input_and_buffer_mutation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_while_loop_assert_separation_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_while_loop_index_assertions_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_while_loop_simple_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_while_loop_tensor_constant_idx_cpp_serdes, test/export/test_cpp_serdes.py::CppSerdesTestExport::test_wrapper_module_cpp_serdes
2025-08-14T21:26:05.8051320Z 
2025-08-14T21:26:08.0557010Z Running export/test_db 1/1 ... [2025-08-14 21:26:08.055506]
2025-08-14T21:26:08.0557770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:08.0559860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_db.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:08.055798]
2025-08-14T21:26:10.1920490Z 
2025-08-14T21:26:10.1921560Z inductor/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_1.1_69988f8e453d8146_.log
2025-08-14T21:26:10.1924630Z Running 9 items in this shard: test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_generate_debug_symbol, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_bare_module, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_export1, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_export2, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx_dict_input, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_fx_tensor_return, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_make_fx, test/inductor/test_compile.py::TestStandaloneInductor::test_inductor_via_op_with_multiple_outputs
2025-08-14T21:26:10.1926780Z 
2025-08-14T21:26:12.4598420Z Running inductor/test_graph_transform_observer 1/1 ... [2025-08-14 21:26:12.459629]
2025-08-14T21:26:12.4599310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:12.4601510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_graph_transform_observer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:12.459909]
2025-08-14T21:26:15.0737790Z 
2025-08-14T21:26:15.0738520Z inductor/test_graph_transform_observer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_graph_transform_observer_1.1_f0c3c9bee3355c8f_.log
2025-08-14T21:26:17.3685220Z 
2025-08-14T21:26:17.3685580Z Running dynamo/test_export_mutations 1/1 ... [2025-08-14 21:26:17.368404]
2025-08-14T21:26:17.3685910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:17.3688050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_export_mutations.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:17.368695]
2025-08-14T21:26:20.0924790Z 
2025-08-14T21:26:20.0925450Z dynamo/test_export_mutations 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_mutations_1.1_b6592f67948f164f_.log
2025-08-14T21:26:20.0928780Z Running 5 items in this shard: test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_1, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_2, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_3, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_negative_4, test/dynamo/test_export_mutations.py::MutationExportTests::test_module_attribute_mutation_violation_positive_1
2025-08-14T21:26:20.0930330Z 
2025-08-14T21:26:20.2912700Z 
2025-08-14T21:26:20.2913920Z export/test_db 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_db_1.1_56f8a657710c4608_.log
2025-08-14T21:26:20.2936860Z Running 36 items in this shard: test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_dynamic_shape_round, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_model_attr_mutation, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_optional_input, test/export/test_db.py::ExampleTests::test_exportdb_not_supported_case_unsupported_operator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_assume_constant_result, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_autograd_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_class_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_operands, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_cond_predicate, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_size_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_constrain_as_value_example, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_decorator, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dictionary, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_map, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_dynamic_shape_view, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_fn_with_kwargs, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_contains, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_list_unpack, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_nested_function, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_null_context_manager, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_pytree_flatten, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_scalar_output, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_specialized_attribute, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_for_loop, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_static_if, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_tensor_setattr, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_type_reflection_method, test/export/test_db.py::ExampleTests::test_exportdb_supported_case_user_input_mutation
2025-08-14T21:26:20.2959060Z 
2025-08-14T21:26:22.5420680Z Running dynamo/test_unittest 1/1 ... [2025-08-14 21:26:22.541853]
2025-08-14T21:26:22.5421920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:22.5424090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_unittest.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:22.542142]
2025-08-14T21:26:22.8404330Z Running dynamo/test_sources 1/1 ... [2025-08-14 21:26:22.835354]
2025-08-14T21:26:22.8523400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:22.8625200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:22.836028]
2025-08-14T21:26:25.0091080Z 
2025-08-14T21:26:25.0092000Z dynamo/test_unittest 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_unittest_1.1_6b3e446f411b76e1_.log
2025-08-14T21:26:25.0093270Z Running 1 items in this shard: test/dynamo/test_unittest.py::TestUnittest::test_SkipTest
2025-08-14T21:26:25.0093530Z 
2025-08-14T21:26:25.5467660Z 
2025-08-14T21:26:25.5468450Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_2af64d5ced7ae1c9_.log
2025-08-14T21:26:25.5469830Z Running 3 items in this shard: test/dynamo/test_sources.py::SourceTests::test_is_local, test/dynamo/test_sources.py::SourceTests::test_property_closure, test/dynamo/test_sources.py::SourceTests::test_supported_nodes
2025-08-14T21:26:25.5470390Z 
2025-08-14T21:26:27.4988570Z Running dynamo/test_graph_deduplication 1/1 ... [2025-08-14 21:26:27.498701]
2025-08-14T21:26:27.4988900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:27.4990910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:27.498983]
2025-08-14T21:26:28.0471400Z Running inductor/test_torchinductor_codegen_config_overrides 1/1 ... [2025-08-14 21:26:28.046998]
2025-08-14T21:26:28.0471810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:28.0473670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_torchinductor_codegen_config_overrides.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:28.047266]
2025-08-14T21:26:33.5638350Z 
2025-08-14T21:26:33.5639930Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_c57c8fa4d463a532_.log
2025-08-14T21:26:33.5647240Z Running 16 items in this shard: test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_autocast_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_arg_and_additional_deps, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_complex, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_no_cycle, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_simple, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_single_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_two_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_dependent_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_aliasing, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_mutation, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_multiple_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_mutation_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_output_nodes_last, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_param_transfer_to_submodule, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph2
2025-08-14T21:26:33.5651610Z 
2025-08-14T21:26:34.0703530Z 
2025-08-14T21:26:34.0704530Z inductor/test_torchinductor_codegen_config_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_config_overrides_1.1_e8deb58d08405b33_.log
2025-08-14T21:26:34.0706450Z Running 3 items in this shard: test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_force_pointwise_cat_force_pointwise_cat_False, test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_force_pointwise_cat_force_pointwise_cat_True, test/inductor/test_torchinductor_codegen_config_overrides.py::CodegenInductorTest::test_kernel_fusion_thresholds
2025-08-14T21:26:34.0707560Z 
2025-08-14T21:26:36.0190980Z Running dynamo/test_flat_apply 1/1 ... [2025-08-14 21:26:36.018887]
2025-08-14T21:26:36.0191780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:36.0193840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:36.019165]
2025-08-14T21:26:36.5224120Z Running dynamo/test_guard_serialization 1/1 ... [2025-08-14 21:26:36.522232]
2025-08-14T21:26:36.5224470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:36.5226260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_guard_serialization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:36.522523]
2025-08-14T21:26:38.7517070Z 
2025-08-14T21:26:38.7518050Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_5da291edcd72905c_.log
2025-08-14T21:26:38.7520270Z Running 4 items in this shard: test/dynamo/test_flat_apply.py::FlatApplyTests::test_non_tensor_output, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_captured_tensor_post_aot_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_dynamo_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_simple
2025-08-14T21:26:38.7521150Z 
2025-08-14T21:26:41.0467930Z Running dynamo/test_modes 1/1 ... [2025-08-14 21:26:41.046640]
2025-08-14T21:26:41.0468680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:41.0471450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_modes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:41.046931]
2025-08-14T21:26:42.2708890Z 
2025-08-14T21:26:42.2709710Z dynamo/test_guard_serialization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_serialization_1.1_fa5bc64451712f00_.log
2025-08-14T21:26:42.2719800Z Running 38 items in this shard: test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_bool_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_builtin_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_closure_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_constant_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_default_device, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_deterministic_algorithms, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_contains, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_keys_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dict_version, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dispatch_key_set_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_dual_level, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_duplicate_input, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_empty_nn_module_hooks_dict, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_equals_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_fsdp_training_state, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_function_locals, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_function_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_functorch_stack_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_grad_mode, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_grad_mode_loading, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_hasattr_serialization, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_id_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_id_match_with_config, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_mapping_keys_check, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_name_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_nn_module, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_none_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_not_present_in_generic_dict, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_range_iterator_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_sequence_length, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_shape_env, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_skipped_objects, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tensor_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tensor_subclass_metadata_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_torch_function_state, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_tuple_iterator_len, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_type_match, test/dynamo/test_guard_serialization.py::TestGuardSerialization::test_weakref_alive
2025-08-14T21:26:42.2728480Z 
2025-08-14T21:26:44.6221270Z Running inductor/test_split_cat_fx_aten_passes 1/1 ... [2025-08-14 21:26:44.621940]
2025-08-14T21:26:44.6222140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:44.6224340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_split_cat_fx_aten_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:44.622228]
2025-08-14T21:26:47.7469280Z 
2025-08-14T21:26:47.7470840Z inductor/test_split_cat_fx_aten_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_split_cat_fx_aten_passes_1.1_93855955154d9fba_.log
2025-08-14T21:26:47.7473300Z Running 5 items in this shard: test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_move_view_after_cat_aten, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_select_cat_post_grad, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_split_cat_post_grad, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAten::test_split_cat_post_grad_singular, test/inductor/test_split_cat_fx_aten_passes.py::TestSplitCatAtenNormalizationPasses::test_split_aten_normalization
2025-08-14T21:26:47.7474630Z 
2025-08-14T21:26:49.2618610Z 
2025-08-14T21:26:49.2619480Z dynamo/test_modes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_modes_1.1_ec2513bbb6c5bdfb_.log
2025-08-14T21:26:49.2626310Z Running 26 items in this shard: test/dynamo/test_modes.py::TorchDispatchModeTests::test_skip_torch_dispatch_modes, test/dynamo/test_modes.py::TorchFunctionModeTests::test_builtin_equivalent_funcs, test/dynamo/test_modes.py::TorchFunctionModeTests::test_error_empty_stack_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_expand, test/dynamo/test_modes.py::TorchFunctionModeTests::test_flex_attention, test/dynamo/test_modes.py::TorchFunctionModeTests::test_hop, test/dynamo/test_modes.py::TorchFunctionModeTests::test_hop_eager, test/dynamo/test_modes.py::TorchFunctionModeTests::test_intermedate_torch_function_mode_construction_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_is_torch_function_all_disabled, test/dynamo/test_modes.py::TorchFunctionModeTests::test_len_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_nested_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_pop_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_push_torch_function_mode, test/dynamo/test_modes.py::TorchFunctionModeTests::test_register_hook, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_clear_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_stack_state_mutation_default_device, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_and_pop_graph_break_mutation, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_disable, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enabled_guard, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_enter_exit, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_graph_break, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_cpp, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_guards_py, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_highest_priority, test/dynamo/test_modes.py::TorchFunctionModeTests::test_torch_function_mode_restore_on_exc
2025-08-14T21:26:49.2632030Z 
2025-08-14T21:26:50.1489050Z Running export/test_passes 1/1 ... [2025-08-14 21:26:50.148721]
2025-08-14T21:26:50.1522040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:50.1522870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:50.149420]
2025-08-14T21:26:51.6418540Z Running export/test_unflatten 1/1 ... [2025-08-14 21:26:51.641701]
2025-08-14T21:26:51.6419210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:26:51.6420910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:26:51.641997]
2025-08-14T21:26:59.9376140Z 
2025-08-14T21:26:59.9377400Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_76a6497b2d01c3f9_.log
2025-08-14T21:26:59.9383750Z Running 28 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_assert_tensor_metadata_stack, test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_simple_alias, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_eager, test/export/test_unflatten.py::TestUnflatten::test_unflatten_empty_branch, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_none, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_requires_grad_param, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val
2025-08-14T21:26:59.9389370Z 
2025-08-14T21:27:02.1643590Z Running export/test_upgrader 1/1 ... [2025-08-14 21:27:02.164132]
2025-08-14T21:27:02.1644370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:02.1646680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_upgrader.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:02.164469]
2025-08-14T21:27:03.0697320Z 
2025-08-14T21:27:03.0698100Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_63546415e0c2d1ce_.log
2025-08-14T21:27:03.0704410Z Running 26 items in this shard: test/export/test_passes.py::TestPasses::test_constant_folding_pass, test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_move_device_submod, test/export/test_passes.py::TestPasses::test_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy
2025-08-14T21:27:03.0709360Z 
2025-08-14T21:27:04.3733490Z 
2025-08-14T21:27:04.3734600Z export/test_upgrader 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_upgrader_1.1_7ef9052639bd8f81_.log
2025-08-14T21:27:04.3736960Z Running 6 items in this shard: test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_complete, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_chain_from_v0_missing_field, test/export/test_upgrader.py::TestUpgrader::test_field_renaming_from_v1_partial_chain, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_error_handling_invalid_type, test/export/test_upgrader.py::TestUpgrader::test_nn_module_stack_transformation_from_v0, test/export/test_upgrader.py::TestUpgrader::test_nodes_without_metadata_handled_gracefully
2025-08-14T21:27:04.3738400Z 
2025-08-14T21:27:05.4579630Z Running export/test_swap 1/1 ... [2025-08-14 21:27:05.457767]
2025-08-14T21:27:05.4580380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:05.4582440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_swap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:05.458048]
2025-08-14T21:27:06.6801370Z Running export/test_schema 1/1 ... [2025-08-14 21:27:06.679964]
2025-08-14T21:27:06.6801690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:06.6803360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:06.680234]
2025-08-14T21:27:09.2157780Z 
2025-08-14T21:27:09.2158680Z export/test_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_schema_1.1_341c39d53cfb53eb_.log
2025-08-14T21:27:09.2160450Z Running 5 items in this shard: test/export/test_schema.py::TestSchema::test_schema_check, test/export/test_schema.py::TestSchema::test_schema_comparison, test/export/test_schema.py::TestSchema::test_schema_compatibility, test/export/test_schema.py::TestSchema::test_schema_diff, test/export/test_schema.py::TestSchema::test_thrift_schema_unchanged
2025-08-14T21:27:09.2161340Z 
2025-08-14T21:27:10.9318630Z 
2025-08-14T21:27:10.9320350Z export/test_swap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_swap_1.1_3b3164ced516631f_.log
2025-08-14T21:27:10.9328110Z Running 18 items in this shard: test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_args, test/export/test_swap.py::TestSwap_nonstrict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_nonstrict::test_custom_output, test/export/test_swap.py::TestSwap_nonstrict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_nonstrict::test_nested_leaf, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_nonstrict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_nonstrict::test_unflatten_preserve_with_unused_input, test/export/test_swap.py::TestSwap_strict::test_custom_input_args, test/export/test_swap.py::TestSwap_strict::test_custom_input_kwargs, test/export/test_swap.py::TestSwap_strict::test_custom_output, test/export/test_swap.py::TestSwap_strict::test_dedup_sym_size, test/export/test_swap.py::TestSwap_strict::test_nested_leaf, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_different_order, test/export/test_swap.py::TestSwap_strict::test_remove_duplicate_pytree_simple, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_signature, test/export/test_swap.py::TestSwap_strict::test_unflatten_preserve_with_unused_input
2025-08-14T21:27:10.9331640Z 
2025-08-14T21:27:11.4311590Z Running dynamo/test_decorators 1/1 ... [2025-08-14 21:27:11.430942]
2025-08-14T21:27:11.4312390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:11.4314930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_decorators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:11.431230]
2025-08-14T21:27:13.2390150Z Running dynamo/test_einops 1/1 ... [2025-08-14 21:27:13.238876]
2025-08-14T21:27:13.2390460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:13.2392600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_einops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:13.239145]
2025-08-14T21:27:15.4592970Z 
2025-08-14T21:27:15.4593810Z dynamo/test_einops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_einops_1.1_da6050379ae0c985_.log
2025-08-14T21:27:15.4595440Z Running 3 items in this shard: test/dynamo/test_einops.py::TestEinops::test_functions_version_none, test/dynamo/test_einops.py::TestEinops::test_layers_version_none, test/dynamo/test_einops.py::TestEinops::test_no_recompile_on_lazy_state_version_none
2025-08-14T21:27:15.4596110Z 
2025-08-14T21:27:17.7080470Z Running dynamo/test_backward_higher_order_ops 1/1 ... [2025-08-14 21:27:17.707786]
2025-08-14T21:27:17.7081430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:17.7083740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_backward_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:17.708132]
2025-08-14T21:27:19.9052530Z 
2025-08-14T21:27:19.9054450Z dynamo/test_decorators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_decorators_1.1_ea6fb3aac4f8d6f9_.log
2025-08-14T21:27:19.9076110Z Running 64 items in this shard: test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_allow_in_graph_no_id_reuse, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_computation_with_graph_input, test/dynamo/test_decorators.py::DecoratorTests::test_assume_constant_result_on_user_defined_fn, test/dynamo/test_decorators.py::DecoratorTests::test_class_methods, test/dynamo/test_decorators.py::DecoratorTests::test_disable_for_custom_op, test/dynamo/test_decorators.py::DecoratorTests::test_disable_ignores_outer_wraps, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_module_with_class_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_disable_nn_modules_forward_hook, test/dynamo/test_decorators.py::DecoratorTests::test_disable_optimize, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false, test/dynamo/test_decorators.py::DecoratorTests::test_disable_recursive_false_weird, test/dynamo/test_decorators.py::DecoratorTests::test_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_dont_skip_tracing, test/dynamo/test_decorators.py::DecoratorTests::test_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_incorrect_usage_disallow_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_guarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_address_unguarded, test/dynamo/test_decorators.py::DecoratorTests::test_mark_static_nn_module, test/dynamo/test_decorators.py::DecoratorTests::test_nested_compile_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_nested_disable_decorator, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_newly_constructed_trace_register_constant_type_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_captured_external_tensor, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_custom_class_output_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_inside_compiled_function_kwarg, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_int_and_float_output, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_nested_custom_class_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_newly_constructed_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_no_action_at_a_distance, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_object_in_context_error, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_on_method, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_custom_class_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_dict_with_side_effects, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_pre_existing_register_constant_type_guard, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tensor_args, test/dynamo/test_decorators.py::DecoratorTests::test_nonstrict_trace_tuple_and_sym_int_output, test/dynamo/test_decorators.py::DecoratorTests::test_patch_dynamo_config_errors, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph_error, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph_export, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph_nested, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph_nested_deep, test/dynamo/test_decorators.py::DecoratorTests::test_set_fullgraph_nested_with_skip, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_aot_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_eager_then_compile_with_graph_break, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_fail_on_recompile_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_forbid_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_backend_with_disable, test/dynamo/test_decorators.py::DecoratorTests::test_set_stance_force_eager, test/dynamo/test_decorators.py::DecoratorTests::test_skip_frame, test/dynamo/test_decorators.py::DecoratorTests::test_substitute_in_graph, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_disable, test/dynamo/test_decorators.py::DecoratorTests::test_torch_guards_stack_frame_register_inlining_partially_disable
2025-08-14T21:27:19.9090540Z 
2025-08-14T21:27:22.2006340Z Running export/test_nativert 1/1 ... [2025-08-14 21:27:22.200445]
2025-08-14T21:27:22.2006650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:22.2008520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_nativert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:22.200754]
2025-08-14T21:27:25.1065820Z 
2025-08-14T21:27:25.1067180Z dynamo/test_backward_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backward_higher_order_ops_1.1_2f8864d820921b02_.log
2025-08-14T21:27:25.1069810Z Running 7 items in this shard: test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_eager, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_graph_breaks, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_in_pt2_compiled_autograd_side_effect, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_bw, test/dynamo/test_backward_higher_order_ops.py::BackwardHigherOrderOpTests::test_invoke_make_fx_forward_contrived
2025-08-14T21:27:25.1071920Z 
2025-08-14T21:27:27.3133700Z Running inductor/test_auto_functionalize 1/1 ... [2025-08-14 21:27:27.313158]
2025-08-14T21:27:27.3134540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:27.3142250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:27.313436]
2025-08-14T21:27:44.9937810Z 
2025-08-14T21:27:44.9938780Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_1292c2941763f1d5_.log
2025-08-14T21:27:44.9949770Z Running 39 items in this shard: test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_input_to_custom_op, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_output, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_default, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_none_return, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra1, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra3, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra4, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra5, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_on_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_self_as_mutate_arg, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_tensorlist, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_can_auto_functionalize, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_graph_input_is_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode1_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode4_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_recompile, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_scheduling_with_multiple_mutates, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_try_use_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_unbacked_auto_functionalize_op
2025-08-14T21:27:44.9959530Z 
2025-08-14T21:27:47.1526020Z Running dynamo/test_verify_correctness 1/1 ... [2025-08-14 21:27:47.152383]
2025-08-14T21:27:47.1526870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:47.1529030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:47.152679]
2025-08-14T21:27:49.6868300Z 
2025-08-14T21:27:49.6869070Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_52aeacaff3626f7b_.log
2025-08-14T21:27:49.6871060Z Running 4 items in this shard: test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_example_inputs, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_false, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_true, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_torchscript
2025-08-14T21:27:49.6872180Z 
2025-08-14T21:27:51.8729880Z Running dynamo/test_export 1/1 ... [2025-08-14 21:27:51.872806]
2025-08-14T21:27:51.8730630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:27:51.8732870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:27:51.873087]
2025-08-14T21:28:42.2543430Z 
2025-08-14T21:28:42.2544230Z dynamo/test_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_export_1.1_78f70f782ea1725d_.log
2025-08-14T21:28:42.2582760Z Running 184 items in this shard: test/dynamo/test_export.py::ExportTests::test_access_class_method_from_user_class_attr, test/dynamo/test_export.py::ExportTests::test_access_class_method_from_user_class_builtin, test/dynamo/test_export.py::ExportTests::test_byte_tensor_does_not_crash, test/dynamo/test_export.py::ExportTests::test_capture_symbolic_tracing_simple_within_fake_mode, test/dynamo/test_export.py::ExportTests::test_capture_symbolic_tracing_within_fake_mode, test/dynamo/test_export.py::ExportTests::test_cond_free_variables_overlapping, test/dynamo/test_export.py::ExportTests::test_cond_op_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_args_mismatch, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_return_multiple_tensors, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_branch_return_non_tensor, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_mismatch_return_length, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_mismatch_return_tensor_meta, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_missing_args, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_non_list_operands, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_non_tensor_operands, test/dynamo/test_export.py::ExportTests::test_cond_raise_user_error_on_unsupported_pred, test/dynamo/test_export.py::ExportTests::test_cond_supported_pred_types, test/dynamo/test_export.py::ExportTests::test_constraint_violation_error_messages, test/dynamo/test_export.py::ExportTests::test_dataclass_input_output, test/dynamo/test_export.py::ExportTests::test_dict_return, test/dynamo/test_export.py::ExportTests::test_dict_return_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes, test/dynamo/test_export.py::ExportTests::test_dupes_2, test/dynamo/test_export.py::ExportTests::test_dupes_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_reorder_with_non_tensor_arg_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_arg, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_arg_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_output, test/dynamo/test_export.py::ExportTests::test_dupes_and_bypass_with_non_tensor_output_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dupes_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing_invalid, test/dynamo/test_export.py::ExportTests::test_dynamic_slicing_simple, test/dynamo/test_export.py::ExportTests::test_dynamo_enum_in_tuple, test/dynamo/test_export.py::ExportTests::test_dynamo_list_index, test/dynamo/test_export.py::ExportTests::test_empty, test/dynamo/test_export.py::ExportTests::test_enforce_equalities, test/dynamo/test_export.py::ExportTests::test_export, test/dynamo/test_export.py::ExportTests::test_export_compare_optimize_with_make_fx, test/dynamo/test_export.py::ExportTests::test_export_cond_in_aten_symbolic, test/dynamo/test_export.py::ExportTests::test_export_control_flow_with_getattr, test/dynamo/test_export.py::ExportTests::test_export_decomp, test/dynamo/test_export.py::ExportTests::test_export_decomp_asserts_bad_args, test/dynamo/test_export.py::ExportTests::test_export_defaults_ok, test/dynamo/test_export.py::ExportTests::test_export_dynamic_control_flow_error, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_cleanup, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_not_1, test/dynamo/test_export.py::ExportTests::test_export_dynamic_dim_range_constraint, test/dynamo/test_export.py::ExportTests::test_export_graph_bypass, test/dynamo/test_export.py::ExportTests::test_export_graph_bypass_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_graph_with_complex_reorder, test/dynamo/test_export.py::ExportTests::test_export_graph_with_complex_reorder_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_graph_with_list, test/dynamo/test_export.py::ExportTests::test_export_graph_with_list_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_identity, test/dynamo/test_export.py::ExportTests::test_export_masking_with_no_grad, test/dynamo/test_export.py::ExportTests::test_export_meta, test/dynamo/test_export.py::ExportTests::test_export_meta_val, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_2, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_mismatched_out_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_module_specify_constraints_signature, test/dynamo/test_export.py::ExportTests::test_export_multi_dynamic_dim_constraint, test/dynamo/test_export.py::ExportTests::test_export_multi_dynamic_dim_unsafe_relationship, test/dynamo/test_export.py::ExportTests::test_export_nn_module_stack_patched_module, test/dynamo/test_export.py::ExportTests::test_export_no_raise, test/dynamo/test_export.py::ExportTests::test_export_no_tensor_computation_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_pass_arg_by_name, test/dynamo/test_export.py::ExportTests::test_export_pass_arg_by_name_star_args, test/dynamo/test_export.py::ExportTests::test_export_persist_assert, test/dynamo/test_export.py::ExportTests::test_export_preserve_constraints_as_metadata_tensor, test/dynamo/test_export.py::ExportTests::test_export_preserves_nn_module_stack_for_get_attr, test/dynamo/test_export.py::ExportTests::test_export_raise_guard_full_constraint, test/dynamo/test_export.py::ExportTests::test_export_raise_guard_partial_constraint, test/dynamo/test_export.py::ExportTests::test_export_raise_on_relationship, test/dynamo/test_export.py::ExportTests::test_export_shape_control_flow_1, test/dynamo/test_export.py::ExportTests::test_export_specialized_int, test/dynamo/test_export.py::ExportTests::test_export_symbolic_shape, test/dynamo/test_export.py::ExportTests::test_export_with_args_and_empty_kwargs, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_None, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_float, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_args_with_default_tuple, test/dynamo/test_export.py::ExportTests::test_export_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_export_with_builtin_op_on_assume_constant, test/dynamo/test_export.py::ExportTests::test_export_with_cond_branches_calling_methods, test/dynamo/test_export.py::ExportTests::test_export_with_cond_closure, test/dynamo/test_export.py::ExportTests::test_export_with_cond_dynamic_shape_pred, test/dynamo/test_export.py::ExportTests::test_export_with_cond_with_closed_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_dict_values, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method_multiarg, test/dynamo/test_export.py::ExportTests::test_export_with_constant_free_function_and_class_method_multiarg_diff, test/dynamo/test_export.py::ExportTests::test_export_with_constant_global_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_in_unspecialized_nn_module, test/dynamo/test_export.py::ExportTests::test_export_with_constant_list_nonzero, test/dynamo/test_export.py::ExportTests::test_export_with_constant_list_nonzero_free_function, test/dynamo/test_export.py::ExportTests::test_export_with_constant_method_on_module, test/dynamo/test_export.py::ExportTests::test_export_with_constant_method_on_module_invoke_twice, test/dynamo/test_export.py::ExportTests::test_export_with_constant_none_control_flow, test/dynamo/test_export.py::ExportTests::test_export_with_constant_none_control_flow_free_func, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow_free_func, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_none_control_flow_pos, test/dynamo/test_export.py::ExportTests::test_export_with_constant_not_return_const, test/dynamo/test_export.py::ExportTests::test_export_with_constant_tuple_nonzero, test/dynamo/test_export.py::ExportTests::test_export_with_functools_wrapped_fn, test/dynamo/test_export.py::ExportTests::test_export_with_functools_wrapped_method, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_and_empty_args, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_None, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_float, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_kwargs_with_default_tuple, test/dynamo/test_export.py::ExportTests::test_export_with_map_cond, test/dynamo/test_export.py::ExportTests::test_export_with_map_zero_sized_tensor, test/dynamo/test_export.py::ExportTests::test_export_with_map_zero_sized_tensor_suppress_errors, test/dynamo/test_export.py::ExportTests::test_export_with_module_layer, test/dynamo/test_export.py::ExportTests::test_export_with_nonzero_static, test/dynamo/test_export.py::ExportTests::test_export_with_shallow_list_copy_with_side_effects, test/dynamo/test_export.py::ExportTests::test_export_with_shallow_list_copy_wo_side_effects, test/dynamo/test_export.py::ExportTests::test_export_with_stack_trace, test/dynamo/test_export.py::ExportTests::test_export_with_symbool_inputs, test/dynamo/test_export.py::ExportTests::test_export_with_wrapped_fn, test/dynamo/test_export.py::ExportTests::test_exported_graph_serialization, test/dynamo/test_export.py::ExportTests::test_func_return, test/dynamo/test_export.py::ExportTests::test_func_return_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_fx_pytree, test/dynamo/test_export.py::ExportTests::test_immutable_list_dict, test/dynamo/test_export.py::ExportTests::test_input_container_type, test/dynamo/test_export.py::ExportTests::test_invalid_input_global, test/dynamo/test_export.py::ExportTests::test_invalid_input_global_multiple_access, test/dynamo/test_export.py::ExportTests::test_invalid_input_nonlocal, test/dynamo/test_export.py::ExportTests::test_invalid_input_unused_nonlocal_ok, test/dynamo/test_export.py::ExportTests::test_list_contains, test/dynamo/test_export.py::ExportTests::test_list_not_contains, test/dynamo/test_export.py::ExportTests::test_list_unpack, test/dynamo/test_export.py::ExportTests::test_list_unpack_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_map_cond_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_mixed_real_and_fake_inputs, test/dynamo/test_export.py::ExportTests::test_multiple_outputs_op_with_evaluator, test/dynamo/test_export.py::ExportTests::test_nested_cond_op_param_buffer_lifted, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_2, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_2_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_no_tensor_computation_fail, test/dynamo/test_export.py::ExportTests::test_not_functionalize, test/dynamo/test_export.py::ExportTests::test_param_buffer_safe_from_mutation_recurse, test/dynamo/test_export.py::ExportTests::test_param_buffer_safe_from_mutation_simple, test/dynamo/test_export.py::ExportTests::test_pre_dispatch_simple, test/dynamo/test_export.py::ExportTests::test_predispatch_with_for_out_dtype, test/dynamo/test_export.py::ExportTests::test_predispatch_with_for_out_dtype_nested, test/dynamo/test_export.py::ExportTests::test_predispatch_with_higher_order, test/dynamo/test_export.py::ExportTests::test_predispatch_with_higher_order_nested, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_graph_break, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_inline, test/dynamo/test_export.py::ExportTests::test_preserve_fx_node_metadata_recompile, test/dynamo/test_export.py::ExportTests::test_remove_redundant_dynamic_dim_in_error_message, test/dynamo/test_export.py::ExportTests::test_retracibility, test/dynamo/test_export.py::ExportTests::test_retracibility_dict_container_inp_out, test/dynamo/test_export.py::ExportTests::test_retracibility_nested_list_out, test/dynamo/test_export.py::ExportTests::test_round_dynamic_shapes, test/dynamo/test_export.py::ExportTests::test_strict_fake_tensor_prop_real_tensors, test/dynamo/test_export.py::ExportTests::test_subclass_parameters, test/dynamo/test_export.py::ExportTests::test_sum_param, test/dynamo/test_export.py::ExportTests::test_sym_contains, test/dynamo/test_export.py::ExportTests::test_symbolic_tracing_within_fake_mode_with_constraints, test/dynamo/test_export.py::ExportTests::test_symbolic_tracing_within_fake_mode_with_constraints_with_parameters, test/dynamo/test_export.py::ExportTests::test_symbool, test/dynamo/test_export.py::ExportTests::test_torch_inference_mode_ctx, test/dynamo/test_export.py::ExportTests::test_trivial_constraint, test/dynamo/test_export.py::ExportTests::test_uncaptured_higher_order_op_error_not_suppresed, test/dynamo/test_export.py::ExportTests::test_untracked_inputs_in_constraints, test/dynamo/test_export.py::ExportTests::test_zeroes_in_and_out_different_shape_on_test, test/dynamo/test_export.py::ExportTests::test_zeroes_in_and_out_different_shape_on_test_with_aten_graph, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out_permute, test/dynamo/test_export.py::ExportTests::test_zeroes_in_new_shape_scalar_out_permute_dupe_and_bypass
2025-08-14T21:28:42.2617290Z 
2025-08-14T21:28:43.4744160Z 
2025-08-14T21:28:43.4744920Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_c1758d71f76c9a2e_.log
2025-08-14T21:28:43.4853440Z Running 400 items in this shard: test/export/test_nativert.py::NativeRTTestExport::test__scaled_dot_product_flash_attention_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_additional_inputs_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_allow_explicit_guards_as_runtime_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_args_type_checked_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_aten_lift_fresh_copy_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_attention_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_attr_assignment_extra_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_constrain_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_constant_relation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_linear_relation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_simple_equality_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_baddbmm_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_non_strict_fake_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_non_strict_real_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_bincount_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_buffer_util_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_constructor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_constructor_torch_ir_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_wrong_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_ccode_python_mod_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_check_specialized_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_checks_to_constrain_range_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cleanup_dynamic_markers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_colin_unbacked_backed_vr_sub_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_colon_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_compiling_state_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_access_identical_symint_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_branches_return_constant_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_branches_return_same_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_contains_unbacked_no_escape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_int_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_with_module_stack_export_with_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_with_module_stack_export_with_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_aliasing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_input_naming_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_no_user_inp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_output_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_output_dup_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_requires_grad_const_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_return_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_with_non_functional_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_with_non_functional_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_decomp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_in_eager_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_with_constrain_value_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_with_various_cases_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_conv_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_crop_like_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cse_for_symint_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_functionalize_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_functionalize_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_warn_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_preserve_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_tag_metadata_re_export_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_batch_norm_functional_predispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_item_in_prim_after_decomposition_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_item_in_prim_before_decomposition_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_default_decomposition_core_cia_ops_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_1_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_integer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_repeat_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_simplified_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_repeat_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_detect_leak_strict_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_gpu_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_mutation_float_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_static_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_1_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_auto_and_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_divisibility_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_hint_range_violations_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_hint_ranges_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_disable_forced_specializations_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_disable_forced_specializations_ok_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_gather_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_gather_into_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_reduce_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_to_all_single_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_reduce_scatter_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dont_duck_size_for_auto_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_double_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_aliasing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_list_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_with_nan_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_fake_kernel_inference_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_infers_fake_kernel_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_duplicate_modules_with_non_persistent_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_lr_shift_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_bounds_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_dataclass_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_inferred_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_generic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_user_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_various_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_spec_with_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_sym_round_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_ends_of_bounds_oblivious_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_error_does_not_reference_eager_fallback_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_error_when_passing_mutating_primitive_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_exception_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_api_with_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_as_backend_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_lifted_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_symbol_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_symbol_scandim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_subclass_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_symbool_pred_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_warns_constant_pred_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_decomp_table_basic_pop_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_decomp_table_container_methods_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_op_lib_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_triton_kernel_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_triton_kernel_mutable_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomp_torture_case_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomp_torture_case_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomps_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomps_simple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_dynamo_config_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_run_decomp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_container_type_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_state_dict_hooks_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_default_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_keyword_only_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_pytree_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_keyword_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_keyword_pytree_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_postional_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_function_schema_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_graph_with_no_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_bug_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_dynamic_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_static_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_linear_preserve_dynamic_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_max_nonstrict_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_max_onnx_reported_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_mod_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_module_cpp_runtime_nonstrict, 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test/export/test_nativert.py::NativeRTTestExport::test_export_with_inline_constraints_complex_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_inline_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_set_grad_enabled_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_wrong_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_external_call_non_strict_real_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fake_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fake_weights_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_filter_traceback_frames_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_float_conversion_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_float_conversion_from_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fqn_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_from_node_metadata_export_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_full_on_scalar_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_hints_wrapper_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_hoo_inline_users_issue_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_if_functional_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_if_post_autograd_op_preserved_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_inline_script_class_method_cpp_runtime_nonstrict, 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test/export/test_nativert.py::NativeRTTestExport::test_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_linear_conv_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_malformed_fqn_from_source_name_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_map_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_map_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mask_nonzero_static_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_masked_select_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_math_pow_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mismatched_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mixed_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_dict_key_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_input_subclasses_parameterization_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_list_slice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_with_dict_container_inp_out_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_modules_access_for_deleted_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_more_multidimensional_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multidimensional_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multinomial_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multiple_definitions_same_name_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_dynamic_shapes_spec_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_constant_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_init_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nn_module_stack_shared_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_check_is_size_error_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_suggested_fixes_for_data_dependent_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_3_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_persistent_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_strict_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_strict_dynamic_shapes_suggested_fixes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_none_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonstrict_retrace_preserves_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonzero_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonzero_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_not_registered_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_operator_aten_tensor_mode_variant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_output_node_name_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pad_sequence_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_param_util_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_partial_patched_forward_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_collisions_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_collisions_hoo_subgraphs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_order_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_order_variadic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_update_preserving_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_predispatch_cond_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_predispatch_grad_wrappers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_module_call_signature_unflatten_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_requires_grad_placeholders_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_shape_dynamism_for_unused_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_profiling_code_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_python_asserts_with_sym_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pytree_register_data_class_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pytree_register_nested_data_class_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_range_constraints_with_replacement_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_alias_dtype_mismatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_bool_cast_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_errors_on_aliasing_custom_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_for_max_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_size_mismatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_redundant_assert_max_upper_bound_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_redundant_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_refine_dynamic_shapes_from_suggested_fixes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_register_constant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_repeat_interleave_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_replace_unbacked_with_very_large_upperbound_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_replaced_unbacked_bindings_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_reshape_view_helper_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_retracable_ep_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_retrace_pre_autograd_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decomposition_supports_user_input_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decompositions_keep_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decompositions_keep_tensor_constant_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_for_prim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_for_prm_str_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_with_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sdpa_gqa_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sequential_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_example_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_as_side_effect_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_empty_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_setgrad_lifted_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_shared_submodule_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_simple_export_for_training_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_simple_unbacked_view_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_size_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_slice_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_solver_unsupported_sympy_function_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_specialize_derived_dim_roots_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_split_const_gm_with_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_stack_trace_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_stack_trace_make_fx_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_primitives_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_shape_attribute_assignment_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_tensors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_static_dim_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_complicated_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_const_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclasses_parameterization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclasses_parameterization_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggest_torch_checks_with_non_negative_check_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggest_torch_checks_with_regular_check_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_for_data_dependent_errors_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_new_roots_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_float_operators_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_or_sym_and_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_sqrt_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symbool_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symfloat_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_additional_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_ranges_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_shapes_collection_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_output_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_tensor_return_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_attribute_zero_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_constant_aten_to_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_constant_with_wrapped_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_multiple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tolist_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_torch_check_eq_commutativity_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_torch_fn_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_trace_under_fake_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_train_eval_on_exported_preautograd_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_3d_matmul_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_bincount_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_bindings_for_divisible_u_symint_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_deferred_runtime_retrace_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_expand_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_infer_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_kth_value_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_linear_layer_norm_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_noncontig_lin_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_pad_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_scalar_constructor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_slice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_to_cond_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_to_cond_passthrough_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_unsqueeze_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_buffer_update_child2parent_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_isinstance_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_shared_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_state_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_no_unroll_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_placeholder_update_child2parent_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_5_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_6_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_buf_8_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_const_preserving_3_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_const_preserving_3_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_6_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_9_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_preserving_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unused_aliases_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unused_constant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_use_embedding_twice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_user_input_and_buffer_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_assert_separation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_index_assertions_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_simple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_tensor_constant_idx_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_wrapper_module_cpp_runtime_nonstrict
2025-08-14T21:28:43.4957140Z 
2025-08-14T21:28:44.7016840Z Running dynamo/test_model_output 1/1 ... [2025-08-14 21:28:44.701528]
2025-08-14T21:28:44.7017150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:28:44.7019100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_model_output.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:44.701804]
2025-08-14T21:28:45.7810020Z Running dynamo/test_sets 1/1 ... [2025-08-14 21:28:45.780822]
2025-08-14T21:28:45.7810330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:28:45.7812080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_sets.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:45.781090]
2025-08-14T21:28:47.0852970Z 
2025-08-14T21:28:47.0853870Z dynamo/test_model_output 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_model_output_1.1_e87166a1919548bd_.log
2025-08-14T21:28:47.0858220Z Running 18 items in this shard: test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained, test/dynamo/test_model_output.py::TestHFPretrained::test_pretrained_non_const_attr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_assign, test/dynamo/test_model_output.py::TestModelOutput::test_mo_create, test/dynamo/test_model_output.py::TestModelOutput::test_mo_from_outside, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getattr_missing, test/dynamo/test_model_output.py::TestModelOutput::test_mo_getitem, test/dynamo/test_model_output.py::TestModelOutput::test_mo_index, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init2, test/dynamo/test_model_output.py::TestModelOutput::test_mo_init_with_disable, test/dynamo/test_model_output.py::TestModelOutput::test_mo_newkey, test/dynamo/test_model_output.py::TestModelOutput::test_mo_reconstruct_bytecode, test/dynamo/test_model_output.py::TestModelOutput::test_mo_tuple, test/dynamo/test_model_output.py::TestModelOutput::test_none, test/dynamo/test_model_output.py::TestModelOutput::test_reconstruction, test/dynamo/test_model_output.py::TestModelOutputBertCPU::test_HF_bert_model_output_cpu
2025-08-14T21:28:47.0861600Z 
2025-08-14T21:28:49.3370770Z Running dynamo/test_base_hop 1/1 ... [2025-08-14 21:28:49.336869]
2025-08-14T21:28:49.3371560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:28:49.3373650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:49.337165]
2025-08-14T21:28:51.6747070Z 
2025-08-14T21:28:51.6748040Z dynamo/test_sets 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sets_1.1_c1401c3fa9b97da0_.log
2025-08-14T21:28:51.6768380Z Running 124 items in this shard: test/dynamo/test_sets.py::CustomSetTests::test_custom_add, test/dynamo/test_sets.py::CustomSetTests::test_custom_contains, test/dynamo/test_sets.py::MiscTests::test_isdisjoint_with_generator, test/dynamo/test_sets.py::TestSetGuards::test_in_guard, test/dynamo/test_sets.py::TestSetGuards::test_set_guard_on_keys_change, test/dynamo/test_sets.py::TestSetGuards::test_set_multiple_types, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_change, test/dynamo/test_sets.py::TestSetGuards::test_set_recompile_on_key_pop, test/dynamo/test_sets.py::TestSetGuards::test_set_with_function, test/dynamo/test_sets.py::TestSetGuards::test_set_with_tensors, test/dynamo/test_sets.py::FrozensetTests::test_binop_and, test/dynamo/test_sets.py::FrozensetTests::test_binop_or, test/dynamo/test_sets.py::FrozensetTests::test_binop_sub, test/dynamo/test_sets.py::FrozensetTests::test_binop_xor, test/dynamo/test_sets.py::FrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::FrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::FrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::FrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::FrozensetTests::test_contains, test/dynamo/test_sets.py::FrozensetTests::test_copy, test/dynamo/test_sets.py::FrozensetTests::test_difference, test/dynamo/test_sets.py::FrozensetTests::test_equality, test/dynamo/test_sets.py::FrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_intersection, test/dynamo/test_sets.py::FrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::FrozensetTests::test_issubset, test/dynamo/test_sets.py::FrozensetTests::test_issuperset, test/dynamo/test_sets.py::FrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::FrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::FrozensetTests::test_to_set, test/dynamo/test_sets.py::FrozensetTests::test_union, test/dynamo/test_sets.py::SetTests::test_add, test/dynamo/test_sets.py::SetTests::test_binop_and, test/dynamo/test_sets.py::SetTests::test_binop_or, test/dynamo/test_sets.py::SetTests::test_binop_sub, test/dynamo/test_sets.py::SetTests::test_binop_xor, test/dynamo/test_sets.py::SetTests::test_clear, test/dynamo/test_sets.py::SetTests::test_cmp_eq, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than, test/dynamo/test_sets.py::SetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_less_than, test/dynamo/test_sets.py::SetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::SetTests::test_cmp_ne, test/dynamo/test_sets.py::SetTests::test_constructor_iterable, test/dynamo/test_sets.py::SetTests::test_contains, test/dynamo/test_sets.py::SetTests::test_copy, test/dynamo/test_sets.py::SetTests::test_difference, test/dynamo/test_sets.py::SetTests::test_difference_update, test/dynamo/test_sets.py::SetTests::test_discard, test/dynamo/test_sets.py::SetTests::test_equality, test/dynamo/test_sets.py::SetTests::test_in_frozenset, test/dynamo/test_sets.py::SetTests::test_intersection, test/dynamo/test_sets.py::SetTests::test_intersection_update, test/dynamo/test_sets.py::SetTests::test_isdisjoint, test/dynamo/test_sets.py::SetTests::test_issubset, test/dynamo/test_sets.py::SetTests::test_issuperset, test/dynamo/test_sets.py::SetTests::test_pop, test/dynamo/test_sets.py::SetTests::test_remove, test/dynamo/test_sets.py::SetTests::test_symmetric_difference, test/dynamo/test_sets.py::SetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::SetTests::test_to_frozenset, test/dynamo/test_sets.py::SetTests::test_to_set, test/dynamo/test_sets.py::SetTests::test_union, test/dynamo/test_sets.py::SetTests::test_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_add, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedSetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedSetTests::test_clear, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedSetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedSetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedSetTests::test_contains, test/dynamo/test_sets.py::UserDefinedSetTests::test_copy, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_discard, test/dynamo/test_sets.py::UserDefinedSetTests::test_equality, test/dynamo/test_sets.py::UserDefinedSetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedSetTests::test_intersection_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedSetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedSetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedSetTests::test_pop, test/dynamo/test_sets.py::UserDefinedSetTests::test_remove, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedSetTests::test_symmetric_difference_update, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedSetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedSetTests::test_union, test/dynamo/test_sets.py::UserDefinedSetTests::test_update, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_and, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_or, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_sub, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_binop_xor, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_eq, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_greater_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_less_than_or_equal, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_cmp_ne, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_constructor_iterable, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_contains, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_copy, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_equality, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_in_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_intersection, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_isdisjoint, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issubset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_issuperset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_symmetric_difference, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_frozenset, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_to_set, test/dynamo/test_sets.py::UserDefinedFrozensetTests::test_union
2025-08-14T21:28:51.6787430Z 
2025-08-14T21:28:52.5697810Z 
2025-08-14T21:28:52.5799560Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_9f7a3fb70bfda532_.log
2025-08-14T21:28:52.5904610Z Running 11 items in this shard: test/dynamo/test_base_hop.py::BaseHOPTest::test_aliasing_mutation_error, test/dynamo/test_base_hop.py::BaseHOPTest::test_aot_eager, test/dynamo/test_base_hop.py::BaseHOPTest::test_auto_functionalize, test/dynamo/test_base_hop.py::BaseHOPTest::test_dynamo, test/dynamo/test_base_hop.py::BaseHOPTest::test_eager_call, test/dynamo/test_base_hop.py::BaseHOPTest::test_int_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_none_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out_with_mutation, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return_with_mutation
2025-08-14T21:28:52.6001240Z 
2025-08-14T21:28:54.0861450Z Running dynamo/test_profiler 1/1 ... [2025-08-14 21:28:54.085937]
2025-08-14T21:28:54.0862210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:28:54.0864320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:54.086233]
2025-08-14T21:28:54.8514700Z Running test_content_store 1/1 ... [2025-08-14 21:28:54.851317]
2025-08-14T21:28:54.8515000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:28:54.8518860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_content_store.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:28:54.851601]
2025-08-14T21:29:00.0834650Z 
2025-08-14T21:29:00.0836610Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_7b72b1e00e3bec7a_.log
2025-08-14T21:29:00.0838880Z Running 8 items in this shard: test/test_content_store.py::TestContentStoreCPU::test_basic_cpu, test/test_content_store.py::TestContentStoreCPU::test_load_tensor_cpu, test/test_content_store.py::TestContentStoreCPU::test_repeated_hash_cpu, test/test_content_store.py::TestContentStoreCPU::test_scalar_cpu, test/test_content_store.py::TestContentStoreMPS::test_basic_mps, test/test_content_store.py::TestContentStoreMPS::test_load_tensor_mps, test/test_content_store.py::TestContentStoreMPS::test_repeated_hash_mps, test/test_content_store.py::TestContentStoreMPS::test_scalar_mps
2025-08-14T21:29:00.0840380Z 
2025-08-14T21:29:01.7982610Z 
2025-08-14T21:29:01.7983510Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_7fa662e5c40d06ef_.log
2025-08-14T21:29:01.7987070Z Running 11 items in this shard: test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_backend_compile, test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_isolated, test/dynamo/test_profiler.py::DynamoProfilerTests::test_execution_trace_dynamic_shapes, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_list_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_runtime, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup_profiler_step, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_dynamo_compiled_region, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_enabled, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_record_function_ignore
2025-08-14T21:29:01.7989820Z 
2025-08-14T21:29:02.3004360Z Running dynamo/test_deviceguard 1/1 ... [2025-08-14 21:29:02.300241]
2025-08-14T21:29:02.3005160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:02.3007680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:02.300527]
2025-08-14T21:29:04.0925720Z Running dynamo/test_optimizers 1/1 ... [2025-08-14 21:29:04.092404]
2025-08-14T21:29:04.0926030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:04.0928030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:04.092696]
2025-08-14T21:29:04.7726200Z 
2025-08-14T21:29:04.7727190Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_5a631420e26cdd38_.log
2025-08-14T21:29:04.7728520Z Running 4 items in this shard: test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard_no_index, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard_no_index
2025-08-14T21:29:04.7729410Z 
2025-08-14T21:29:07.0042720Z Running dynamo/test_debug_utils 1/1 ... [2025-08-14 21:29:07.004099]
2025-08-14T21:29:07.0043530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:07.0046730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:07.004429]
2025-08-14T21:29:07.1542640Z 
2025-08-14T21:29:07.1543210Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_a40485108a1ba761_.log
2025-08-14T21:29:07.1545380Z Running 3 items in this shard: test/dynamo/test_optimizers.py::End2EndTests::test_init_group, test/dynamo/test_optimizers.py::End2EndTests::test_optimizing_over_tensor_with_requires_grad, test/dynamo/test_optimizers.py::End2EndTests::test_state_dict
2025-08-14T21:29:07.1546030Z 
2025-08-14T21:29:09.5464290Z Running dynamo/test_python_dispatcher 1/1 ... [2025-08-14 21:29:09.546227]
2025-08-14T21:29:09.5465160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:09.5467450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:09.546539]
2025-08-14T21:29:09.6628240Z 
2025-08-14T21:29:09.6629450Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_98a9732175764e08_.log
2025-08-14T21:29:09.6630430Z Running 2 items in this shard: test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_cast_model_to_fp64_dtype_args_cpu, test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_generate_env_vars_string_cpu
2025-08-14T21:29:09.6630980Z 
2025-08-14T21:29:11.9725080Z Running export/test_lift_unlift 1/1 ... [2025-08-14 21:29:11.972296]
2025-08-14T21:29:11.9725910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:11.9728360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_lift_unlift.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:11.972636]
2025-08-14T21:29:12.4765950Z 
2025-08-14T21:29:12.4766670Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_b2f53b4fa56cd085_.log
2025-08-14T21:29:12.4771470Z Running 6 items in this shard: test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key1, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key2, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key3, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key4, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key_set_guard, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_functorch_interpreter
2025-08-14T21:29:12.4772890Z 
2025-08-14T21:29:14.1843100Z 
2025-08-14T21:29:14.1844090Z export/test_lift_unlift 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_lift_unlift_1.1_28194b02137afb6f_.log
2025-08-14T21:29:14.1847890Z Running 5 items in this shard: test/export/test_lift_unlift.py::TestLift::test_duplicate_constant_access, test/export/test_lift_unlift.py::TestLift::test_lift_basic, test/export/test_lift_unlift.py::TestLift::test_lift_nested, test/export/test_lift_unlift.py::TestLift::test_unlift_nonpersistent_buffer, test/export/test_lift_unlift.py::ConstantAttrMapTest::test_dict_api
2025-08-14T21:29:14.1850230Z 
2025-08-14T21:29:14.7244980Z Running dynamo/test_compiler_bisector 1/1 ... [2025-08-14 21:29:14.724286]
2025-08-14T21:29:14.7245830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:14.7248600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_compiler_bisector.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:14.724589]
2025-08-14T21:29:16.5145540Z Running test_model_exports_to_core_aten 1/1 ... [2025-08-14 21:29:16.514377]
2025-08-14T21:29:16.5146360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:16.5148540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:16.514663]
2025-08-14T21:29:17.6168840Z 
2025-08-14T21:29:17.6169430Z dynamo/test_compiler_bisector 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compiler_bisector_1.1_1ed4560aa8b0755b_.log
2025-08-14T21:29:17.6171750Z Running 7 items in this shard: test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_decomp, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_bad_lowering, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_crossref, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_eager_backend, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_emulate_precision_casts, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_joint_graph, test/dynamo/test_compiler_bisector.py::TestCompilerBisector::test_rng
2025-08-14T21:29:17.6173260Z 
2025-08-14T21:29:18.8656860Z 
2025-08-14T21:29:18.8657580Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_443927215b3529f7_.log
2025-08-14T21:29:18.8658840Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export
2025-08-14T21:29:18.8659470Z 
2025-08-14T21:29:20.0027630Z Running dynamo/test_package 1/1 ... [2025-08-14 21:29:20.002565]
2025-08-14T21:29:20.0028380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:20.0030450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:20.002845]
2025-08-14T21:29:21.2516740Z Running export/test_experimental 1/1 ... [2025-08-14 21:29:21.251432]
2025-08-14T21:29:21.2517240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:21.2518090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:21.251721]
2025-08-14T21:29:25.1770440Z 
2025-08-14T21:29:25.1771370Z export/test_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_experimental_1.1_ca7070b111d95bc0_.log
2025-08-14T21:29:25.1774160Z Running 8 items in this shard: test/export/test_experimental.py::TestExperiment::test_joint_basic, test/export/test_experimental.py::TestExperiment::test_joint_buffer_input_mutations, test/export/test_experimental.py::TestExperiment::test_joint_cifar10_backwards, test/export/test_experimental.py::TestExperiment::test_joint_dynamic, test/export/test_experimental.py::TestExperiment::test_joint_loss_index, test/export/test_experimental.py::TestExperiment::test_sticky_export, test/export/test_experimental.py::TestExperiment::test_sticky_export_dynamic, test/export/test_experimental.py::TestExperiment::test_sticky_export_nested_inp
2025-08-14T21:29:25.1775820Z 
2025-08-14T21:29:27.4118510Z Running dynamo/test_input_attr_tracking 1/1 ... [2025-08-14 21:29:27.411702]
2025-08-14T21:29:27.4118850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:27.4120970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_input_attr_tracking.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:27.411989]
2025-08-14T21:29:32.6119030Z 
2025-08-14T21:29:32.6119740Z dynamo/test_input_attr_tracking 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_input_attr_tracking_1.1_e7d202cdeb0322cf_.log
2025-08-14T21:29:32.6124440Z Running 12 items in this shard: test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_with_graph_breaks, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_with_inline_reconstruct, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_complex_attr_access_without_graph_breaks, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_const_property_assigned_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_const_property_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_guards_correctly_property_assigned_on_tensor_type_change, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_guards_correctly_property_assigned_on_tensor_type_change_inductor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_input_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_scoped_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_set_data_on_user_defined_class_input_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_tensor_property_assigned_on_tensor, test/dynamo/test_input_attr_tracking.py::TestInputAttrTracking::test_tensor_property_on_tensor
2025-08-14T21:29:32.6128220Z 
2025-08-14T21:29:34.7694140Z Running dynamo/test_bytecode_utils 1/1 ... [2025-08-14 21:29:34.769258]
2025-08-14T21:29:34.7694470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:34.7696760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_bytecode_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:34.769551]
2025-08-14T21:29:38.5538010Z 
2025-08-14T21:29:38.5538820Z dynamo/test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_package_1.1_031cdea9ba506458_.log
2025-08-14T21:29:38.5550090Z Running 46 items in this shard: test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_autotune_cache_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_autotune_cache_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_graph_breaks_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_lazy_backward_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_recompiles_device_xpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_cpu, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_cuda, test/dynamo/test_package.py::TestPackage::test_automatic_dynamo_serialize_device_xpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_basic_fn_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_call_function_from_resume_device_cpu, test/dynamo/test_package.py::TestPackage::test_call_function_from_resume_device_cuda, test/dynamo/test_package.py::TestPackage::test_call_function_from_resume_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamic_shape_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_cpu, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_cuda, test/dynamo/test_package.py::TestPackage::test_dynamo_cache_manual_load_device_xpu, test/dynamo/test_package.py::TestPackage::test_file_change, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_graph_break_bomb_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_cpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_cuda, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_eager_device_xpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_cpu, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_cuda, test/dynamo/test_package.py::TestPackage::test_lazy_backward_backend_inductor_device_xpu, test/dynamo/test_package.py::TestPackage::test_nn_module
2025-08-14T21:29:38.5560000Z 
2025-08-14T21:29:39.7937870Z 
2025-08-14T21:29:39.7939500Z dynamo/test_bytecode_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_bytecode_utils_1.1_6bc6d3753f6b300b_.log
2025-08-14T21:29:39.7945140Z Running 21 items in this shard: test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_analysis_jump_backward_no_interrupt, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noprefix, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn1, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_bytecode_from_template_noreturn_const, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_compute_exception_table_nested, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_e2e, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_e2e_2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_encode_varint, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_entry_propagation, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_exception_table_parsing, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_extended_args_starts_line, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_if_tensor_is_none, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_310_writer, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_311_writer1, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_linetable_311_writer2, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_lnotab_writer, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_py311_jump_offset, test/dynamo/test_bytecode_utils.py::BytecodeTests::test_remove_dead_code_with_exn_table_entries, test/dynamo/test_bytecode_utils.py::BytecodeHookTests::test_bytecode_hook
2025-08-14T21:29:39.7949620Z 
2025-08-14T21:29:40.9230990Z Running export/test_hop 1/1 ... [2025-08-14 21:29:40.922910]
2025-08-14T21:29:40.9231750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:40.9233850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:40.923203]
2025-08-14T21:29:42.1181970Z Running export/test_converter 1/1 ... [2025-08-14 21:29:42.117997]
2025-08-14T21:29:42.1184350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:42.1186340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_converter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:42.118355]
2025-08-14T21:29:44.3158140Z 
2025-08-14T21:29:44.3159760Z export/test_converter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_converter_1.1_1876df198a6b5d23_.log
2025-08-14T21:29:44.3170310Z Running 48 items in this shard: test/export/test_converter.py::TestConverter::test_aten___getitem___dict, test/export/test_converter.py::TestConverter::test_aten___getitem___list, test/export/test_converter.py::TestConverter::test_aten___is__, test/export/test_converter.py::TestConverter::test_aten___isnot__, test/export/test_converter.py::TestConverter::test_aten___not__, test/export/test_converter.py::TestConverter::test_aten_add_t, test/export/test_converter.py::TestConverter::test_aten_append_t, test/export/test_converter.py::TestConverter::test_aten_dim, test/export/test_converter.py::TestConverter::test_aten_floordiv, test/export/test_converter.py::TestConverter::test_aten_len, test/export/test_converter.py::TestConverter::test_aten_tensor_dtype_int, test/export/test_converter.py::TestConverter::test_aten_tensor_dynamic, test/export/test_converter.py::TestConverter::test_aten_tensor_prim_dtype, test/export/test_converter.py::TestConverter::test_aten_to_dtype_with_mutating_storage, test/export/test_converter.py::TestConverter::test_context_manager, test/export/test_converter.py::TestConverter::test_convert_func_without_param, test/export/test_converter.py::TestConverter::test_convert_if_basic, test/export/test_converter.py::TestConverter::test_convert_if_duplicate_attr_names, test/export/test_converter.py::TestConverter::test_convert_if_multiple_out, test/export/test_converter.py::TestConverter::test_convert_if_tuple_out, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_buffer, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_if_and_param, test/export/test_converter.py::TestConverter::test_convert_nn_module_with_nested_param, test/export/test_converter.py::TestConverter::test_convert_retrace_nested_scripted_modules, test/export/test_converter.py::TestConverter::test_convert_script_object, test/export/test_converter.py::TestConverter::test_get_tensor_constants, test/export/test_converter.py::TestConverter::test_hidden_input_name, test/export/test_converter.py::TestConverter::test_implicit_constant_to_tensor_handling, test/export/test_converter.py::TestConverter::test_prim_SetAttr, test/export/test_converter.py::TestConverter::test_prim_device, test/export/test_converter.py::TestConverter::test_prim_device_cuda, test/export/test_converter.py::TestConverter::test_prim_dtype, test/export/test_converter.py::TestConverter::test_prim_max, test/export/test_converter.py::TestConverter::test_prim_min, test/export/test_converter.py::TestConverter::test_prim_tolist, test/export/test_converter.py::TestConverter::test_profiler__record_function, test/export/test_converter.py::TestConverter::test_raise_exception, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext, test/export/test_converter.py::TestConverter::test_ts2ep_convert_quantized_model_with_opcontext_and_constant, test/export/test_converter.py::TestConverter::test_ts2ep_converter_basic, test/export/test_converter.py::TestConverter::test_ts2ep_converter_container_output, test/export/test_converter.py::TestConverter::test_ts2ep_converter_contains, test/export/test_converter.py::TestConverter::test_ts2ep_converter_custom_op, test/export/test_converter.py::TestConverter::test_ts2ep_converter_unpack, test/export/test_converter.py::TestConverter::test_ts2ep_multi_outputs_on_call_ops, test/export/test_converter.py::TestConverter::test_ts2ep_with_loop
2025-08-14T21:29:44.3179270Z 
2025-08-14T21:29:46.5163380Z Running dynamo/test_error_messages 1/1 ... [2025-08-14 21:29:46.516125]
2025-08-14T21:29:46.5164180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:46.5166340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_error_messages.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:46.516415]
2025-08-14T21:29:49.6071060Z 
2025-08-14T21:29:49.6072660Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_0dd3c4fa16e0d1a8_.log
2025-08-14T21:29:49.6084590Z Running 36 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32
2025-08-14T21:29:49.6093250Z 
2025-08-14T21:29:51.8000010Z Running dynamo/test_callback 1/1 ... [2025-08-14 21:29:51.799814]
2025-08-14T21:29:51.8001190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:51.8003370Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_callback.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:51.800089]
2025-08-14T21:29:54.5584350Z 
2025-08-14T21:29:54.5584960Z dynamo/test_callback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_callback_1.1_51901c16baf49937_.log
2025-08-14T21:29:54.5587380Z Running 4 items in this shard: test/dynamo/test_callback.py::CallbackTests::test_callbacks_with_duplicate_prevention, test/dynamo/test_callback.py::CallbackTests::test_counter, test/dynamo/test_callback.py::CallbackTests::test_counter_assertion, test/dynamo/test_callback.py::CallbackTests::test_triggers
2025-08-14T21:29:54.5588190Z 
2025-08-14T21:29:56.7374440Z Running export/test_pass_infra 1/1 ... [2025-08-14 21:29:56.737252]
2025-08-14T21:29:56.7375230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:29:56.7377630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_pass_infra.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:29:56.737561]
2025-08-14T21:30:00.6229910Z 
2025-08-14T21:30:00.6230800Z export/test_pass_infra 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_pass_infra_1.1_f896815f8aa2c0e2_.log
2025-08-14T21:30:00.6232850Z Running 5 items in this shard: test/export/test_pass_infra.py::TestPassInfra::test_cond, test/export/test_pass_infra.py::TestPassInfra::test_export_pass_base, test/export/test_pass_infra.py::TestPassInfra::test_graph_signature_updated_after_transformation, test/export/test_pass_infra.py::TestPassInfra::test_node_name_stability, test/export/test_pass_infra.py::TestPassInfra::test_replace_hook_basic
2025-08-14T21:30:00.6233870Z 
2025-08-14T21:30:02.8930600Z Running inductor/test_mps_basic 1/1 ... [2025-08-14 21:30:02.892792]
2025-08-14T21:30:02.8931390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:02.8933460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_mps_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:02.893095]
2025-08-14T21:30:03.1729970Z 
2025-08-14T21:30:03.1831690Z dynamo/test_error_messages 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_error_messages_1.1_bd94b447ed4bb313_.log
2025-08-14T21:30:03.1856290Z Running 41 items in this shard: test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_assert_failure_in_generic_ctx_mgr, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_backend_fake_tensor_exc, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_class_property, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_cpp_extension_recommends_custom_ops, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_branching_fullgraph, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_branching_gb, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_data_dependent_operator2, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dict_items_input, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_disable_message, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamic_shape_operator, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamic_shape_operator_no_meta_kernel, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamo_graph_break_fn, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_dynamo_graph_break_fn_with_msg, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_faketensor_nyi, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_generic_ctx_mgr_graph_break, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_in_buggy_resume_prologue, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_traceback_above_dynamo_shows_user_code, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_graph_break_traceback_collapsed_resume_frames, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_internal_compiler_stacktrace_verbose, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_load_build_class, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_lru_cache_warning_logs_nested_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_lru_cache_warning_logs_user_stack_trace, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_nested_compile_user_frames, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_no_internal_compiler_stacktrace, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_observed_exception, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_optree_graph_break_message, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_reconstruction_failure, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_reconstruction_failure_gb, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_dynamo_call, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_skipfile_inline, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_slice_with_tensor, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_sort_with_nonconstant_keys, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_super_call_function, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_super_call_method, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_uninitialized_module, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_builtin, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_bytecode, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_unsupported_context, test/dynamo/test_error_messages.py::GraphBreakMessagesTest::test_warnings
2025-08-14T21:30:03.1933490Z 
2025-08-14T21:30:05.3928420Z Running dynamo/test_exceptions 1/1 ... [2025-08-14 21:30:05.392634]
2025-08-14T21:30:05.3929240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:05.3931360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_exceptions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:05.392927]
2025-08-14T21:30:10.7187930Z 
2025-08-14T21:30:10.7188510Z dynamo/test_exceptions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_exceptions_1.1_0ba128955fb8155e_.log
2025-08-14T21:30:10.7199270Z Running 47 items in this shard: test/dynamo/test_exceptions.py::ExceptionTests::test_atrribute_error, test/dynamo/test_exceptions.py::ExceptionTests::test_attribute_error_from_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_autocast_with_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_block_stack_cleanup, test/dynamo/test_exceptions.py::ExceptionTests::test_custom_getattr_on_module_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_dict_pop, test/dynamo/test_exceptions.py::ExceptionTests::test_dynamo_undo_kw_names, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_after_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_ensure_exception_is_active_inside_try_except_block, test/dynamo/test_exceptions.py::ExceptionTests::test_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception3, test/dynamo/test_exceptions.py::ExceptionTests::test_exception4, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_else, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_raised_from_child, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_another_exception2, test/dynamo/test_exceptions.py::ExceptionTests::test_exception_with_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_handle_all_exceptions, test/dynamo/test_exceptions.py::ExceptionTests::test_isinstance_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_key_error, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_module_getattr, test/dynamo/test_exceptions.py::ExceptionTests::test_nn_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_propagate_exception_inside_ctx_manager, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_GeneratorExit, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_custom_exception_with_args, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_finally_simple, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_None_2, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_from_other, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_match, test/dynamo/test_exceptions.py::ExceptionTests::test_raise_set___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct___context__, test/dynamo/test_exceptions.py::ExceptionTests::test_reconstruct_exception_2, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise, test/dynamo/test_exceptions.py::ExceptionTests::test_reraise_first_exc, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___TypeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_CustomException, test/dynamo/test_exceptions.py::ExceptionTests::test_set___cause___error_RuntimeError, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg, test/dynamo/test_exceptions.py::ExceptionTests::test_set_cause_with_arg_error, test/dynamo/test_exceptions.py::ExceptionTests::test_speculation_exception, test/dynamo/test_exceptions.py::ExceptionTests::test_stop_iteration, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_variable, test/dynamo/test_exceptions.py::ExceptionTests::test_user_defined_exception_with_args
2025-08-14T21:30:10.7213170Z 
2025-08-14T21:30:12.9128380Z Running dynamo/test_aot_autograd_cache 1/1 ... [2025-08-14 21:30:12.912648]
2025-08-14T21:30:12.9129220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:12.9131410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_aot_autograd_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:12.912947]
2025-08-14T21:30:25.7685460Z 
2025-08-14T21:30:25.7686390Z inductor/test_mps_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mps_basic_1.1_f4357031471cd6f5_.log
2025-08-14T21:30:25.7694260Z Running 41 items in this shard: test/inductor/test_mps_basic.py::MPSBasicTests::test_acos, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_bfloat16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_bool, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_complex64, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_float16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_float32, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int16, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int32, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int64, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_int8, test/inductor/test_mps_basic.py::MPSBasicTests::test_add_uint8, test/inductor/test_mps_basic.py::MPSBasicTests::test_atanh, test/inductor/test_mps_basic.py::MPSBasicTests::test_broadcast, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_bfloat16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_bool, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_complex64, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_float16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_float32, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int16, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int32, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int64, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_int8, test/inductor/test_mps_basic.py::MPSBasicTests::test_cast_uint8, test/inductor/test_mps_basic.py::MPSBasicTests::test_cholesky, test/inductor/test_mps_basic.py::MPSBasicTests::test_compile_numpy_scalar, test/inductor/test_mps_basic.py::MPSBasicTests::test_conv_transpose_channels_last, test/inductor/test_mps_basic.py::MPSBasicTests::test_floor, test/inductor/test_mps_basic.py::MPSBasicTests::test_inplace, test/inductor/test_mps_basic.py::MPSBasicTests::test_log, test/inductor/test_mps_basic.py::MPSBasicTests::test_reduced_max, test/inductor/test_mps_basic.py::MPSBasicTests::test_rms_norm_nograd, test/inductor/test_mps_basic.py::MPSBasicTests::test_sign, test/inductor/test_mps_basic.py::MPSBasicTests::test_sliced_input, test/inductor/test_mps_basic.py::MPSBasicTests::test_where, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_add_mps, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_c10, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_dynamic_cat, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_fallback_mps, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_reuse_kernel, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_simple_dynamic, test/inductor/test_mps_basic.py::MPSBasicTestsAOTI::test_two_const
2025-08-14T21:30:25.7701140Z 
2025-08-14T21:30:27.9991510Z Running inductor/test_efficient_conv_bn_eval 1/1 ... [2025-08-14 21:30:27.998958]
2025-08-14T21:30:27.9992400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:27.9994590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_efficient_conv_bn_eval.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:27.999247]
2025-08-14T21:30:30.7901400Z 
2025-08-14T21:30:30.7902260Z inductor/test_efficient_conv_bn_eval 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_efficient_conv_bn_eval_1.1_be7ba8ed3ab30628_.log
2025-08-14T21:30:30.7903450Z Running 0 items in this shard:
2025-08-14T21:30:30.7903580Z 
2025-08-14T21:30:32.9998170Z Running dynamo/test_precompile_context 1/1 ... [2025-08-14 21:30:32.999609]
2025-08-14T21:30:32.9999020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:33.0001170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_precompile_context.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:32.999895]
2025-08-14T21:30:35.6359390Z 
2025-08-14T21:30:35.6360440Z dynamo/test_precompile_context 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_precompile_context_1.1_b9d19e83d02ae5bc_.log
2025-08-14T21:30:35.6363200Z Running 3 items in this shard: test/dynamo/test_precompile_context.py::PrecompileContextTests::test_basic, test/dynamo/test_precompile_context.py::PrecompileContextTests::test_editable, test/dynamo/test_precompile_context.py::PrecompileContextTests::test_serialize_by_key
2025-08-14T21:30:35.6365010Z 
2025-08-14T21:30:37.8321650Z Running dynamo/test_guard_manager 1/1 ... [2025-08-14 21:30:37.831951]
2025-08-14T21:30:37.8322460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:37.8325140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_guard_manager.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:37.832235]
2025-08-14T21:30:40.9838170Z 
2025-08-14T21:30:40.9838750Z dynamo/test_guard_manager 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_guard_manager_1.1_ef7d909f8c991293_.log
2025-08-14T21:30:40.9847340Z Running 36 items in this shard: test/dynamo/test_guard_manager.py::GuardManagerTests::test_attr_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_call_function_no_args_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_clone, test/dynamo/test_guard_manager.py::GuardManagerTests::test_default_device_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_contains_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_getitem_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dict_version_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_diff_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_dynamic_indices_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_equals_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_accessor, test/dynamo/test_guard_manager.py::GuardManagerTests::test_framelocals_guard_e2e, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_state_reason, test/dynamo/test_guard_manager.py::GuardManagerTests::test_global_weakref, test/dynamo/test_guard_manager.py::GuardManagerTests::test_globals, test/dynamo/test_guard_manager.py::GuardManagerTests::test_guard_manager_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_id_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_item_guard_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_lambda_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_length_check_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_hasattr_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_no_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_python_lambda_leaf_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_aliasing_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tensor_match_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_tuple_iterator_getitem, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_guard, test/dynamo/test_guard_manager.py::GuardManagerTests::test_type_manager, test/dynamo/test_guard_manager.py::GuardManagerTests::test_weakref_alive_guard, test/dynamo/test_guard_manager.py::TypePropagationTests::test_basic_types, test/dynamo/test_guard_manager.py::TagSafetyChecks::test_dict_tag_safe, test/dynamo/test_guard_manager.py::TagSafetyChecks::test_immutable_tag_safe, test/dynamo/test_guard_manager.py::TagSafetyChecks::test_nn_module_tag_safe, test/dynamo/test_guard_manager.py::RecursiveDictGuardTests::test_disabling
2025-08-14T21:30:40.9854530Z 
2025-08-14T21:30:43.2682810Z Running test_sparse_semi_structured 1/1 ... [2025-08-14 21:30:43.268056]
2025-08-14T21:30:43.2683640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:43.2685980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_sparse_semi_structured.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:43.268343]
2025-08-14T21:30:44.8919870Z 
2025-08-14T21:30:44.8920850Z dynamo/test_aot_autograd_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_cache_1.1_0c51dbb14990b900_.log
2025-08-14T21:30:44.8951520Z Running 100 items in this shard: test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_aot_runtime_trace_joint, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_guard_single_entry_device_mps_bfloat16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_guard_single_entry_device_mps_float16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_mps_bfloat16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_mps_bfloat16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_mps_float16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_inductor_guards_device_mps_float16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_lazy_backward, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_autograd_no_dynamo_trace_backward, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_basic, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_cpu_bfloat16_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_cpu_bfloat16_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_cpu_float32_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_cpu_float32_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_mps_bfloat16_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_mps_bfloat16_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_mps_float32_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_hot_load_device_mps_float32_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_cache_lazy_backward_for_compiled_autograd, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_clear_fx_graph_cache, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_compiled_autograd_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_constant_tensor_device_guards, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_custom_autograd_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_custom_autograd_function_miss, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_custom_autograd_function_with_custom_triton_kernel, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_custom_autograd_function_with_custom_triton_kernel_cache_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_dynamic_shapes_different_sizes, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_fx_graph_cache_off, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_inference_graph_cache_hit_with_compiled_autograd_enabled, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_invoke_subgraph, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_multi_graph_specialization, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_multiple_compile_triton_kernels, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_nn_module_with_params_global_constant, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_non_bundled_to_bundled_config_change, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_saved_tensors_hooks_autograd_cache, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_saved_tensors_hooks_autograd_cache_symbolic, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_symbol_specialization, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_triton_op_cache_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_triton_op_cache_multiple_ops_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_unsafe_mark_cacheable_fn_select_allow_in_graph, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_unsafe_mark_cacheable_fn_select_tag_activation_checkpoint, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheTests::test_view_replay_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_aot_runtime_trace_joint, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_guard_single_entry_device_mps_bfloat16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_guard_single_entry_device_mps_float16, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_inductor_guards_device_mps_bfloat16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_inductor_guards_device_mps_bfloat16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_inductor_guards_device_mps_float16_requires_grad_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_inductor_guards_device_mps_float16_requires_grad_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_lazy_backward, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_autograd_no_dynamo_trace_backward, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_basic, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_cpu_bfloat16_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_cpu_bfloat16_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_cpu_float32_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_cpu_float32_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_mps_bfloat16_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_mps_bfloat16_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_mps_float32_dynamic_False, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_hot_load_device_mps_float32_dynamic_True, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_cache_lazy_backward_for_compiled_autograd, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_clear_fx_graph_cache, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_compiled_autograd_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_constant_tensor_device_guards, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_custom_autograd_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_custom_autograd_function_miss, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_custom_autograd_function_with_custom_triton_kernel, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_custom_autograd_function_with_custom_triton_kernel_cache_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_dynamic_shapes_different_sizes, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_fx_graph_cache_off, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_inference_graph_cache_hit_with_compiled_autograd_enabled, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_invoke_subgraph, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_multi_graph_specialization, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_multiple_compile_triton_kernels, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_nn_module_with_params_global_constant, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_non_bundled_to_bundled_config_change, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_saved_tensors_hooks_autograd_cache, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_saved_tensors_hooks_autograd_cache_symbolic, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_symbol_specialization, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_triton_op_cache_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_triton_op_cache_multiple_ops_invalidation, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_unsafe_mark_cacheable_fn_select_allow_in_graph, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_unsafe_mark_cacheable_fn_select_tag_activation_checkpoint, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCacheBundledTests::test_view_replay_bypass, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_basic_hash_key, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_global_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_graphs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_different_inputs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_freezing, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_identical_graphs_and_configs, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_incompatible_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_nn_module_with_params, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_normal_torch_function, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_private_builtin, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_private_namespace, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_safe_torchfunction, test/dynamo/test_aot_autograd_cache.py::AOTAutogradCachePicklerTests::test_sanitize_gm_for_cache
2025-08-14T21:30:44.8979210Z 
2025-08-14T21:30:46.1879800Z 
2025-08-14T21:30:46.1880420Z test_sparse_semi_structured 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_semi_structured_1.1_fb4a23ac896b81cc_.log
2025-08-14T21:30:46.1892410Z Running 42 items in this shard: test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cusparselt, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_mlp_contiguous_relu_compile_cutlass, test/test_sparse_semi_structured.py::SparseSemiStructuredTensorCompileTest::test_sp24_compile, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_indices, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_linear, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_min_sparse_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mlp, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_first_TN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NN, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_mm_sparse_second_NT, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_to_sparse_semi_structured, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dim, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_unsupported_shape, test/test_sparse_semi_structured.py::TestSparseSemiStructured::test_values, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_gemm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_edge_case1, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_id, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pack_both_ways_meta_correctness, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_prune_dense_static_sort, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_pruning_algo_largest_abs_values_greedy, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_apply_dense, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_bmm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredTraining::test_sp24_matmuls_mat_vec, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_conversions_all_patterns, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_linear_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUTLASS::test_sparse_semi_structured_ops_cutlass, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_compile_autotune, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_alpha_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_mixed_dtype, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_csrc_cslt_sparse_mm_search, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_cusparselt_backend, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_fp8fp8_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm, test/test_sparse_semi_structured.py::TestSparseSemiStructuredCUSPARSELT::test_sparse_semi_structured_scaled_mm_fp8
2025-08-14T21:30:46.1903090Z 
2025-08-14T21:30:47.2858580Z Running export/test_serialize 1/1 ... [2025-08-14 21:30:47.285642]
2025-08-14T21:30:47.2859350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:47.2861440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:47.285936]
2025-08-14T21:30:48.5377300Z Running dynamo/test_structured_trace 1/1 ... [2025-08-14 21:30:48.537604]
2025-08-14T21:30:48.5377620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:48.5379840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_structured_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:48.537888]
2025-08-14T21:30:54.4042880Z 
2025-08-14T21:30:54.4043460Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_33f4fb18ca234220_.log
2025-08-14T21:30:54.4065430Z Running 101 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_metadata_run_decomp_serder, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_nested_layer_split, test/export/test_serialize.py::TestSerialize::test_nonfinite_inputs, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_infinite_sym_int, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_param_mutation, test/export/test_serialize.py::TestSerialize::test_serialize_sym_float, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestSerialize::test_symint_list, test/export/test_serialize.py::TestDeserialize::test_arg_from, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_hoo_symint_input, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_none_input, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_positional_argument_with_default_value, test/export/test_serialize.py::TestDeserialize::test_pytree_namedtuple, test/export/test_serialize.py::TestDeserialize::test_serialize_float8, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_bool_dynamic_shapes, test/export/test_serialize.py::TestDeserialize::test_sym_bool_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_float, test/export/test_serialize.py::TestDeserialize::test_sym_int_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestDeserialize::test_unbacked_bindings_serialize, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_backed_size_oblivious_serdes, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_input_to_function, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization, test/export/test_serialize.py::TestSerializeCustomClass::test_unbacked_range_serdes
2025-08-14T21:30:54.4085650Z 
2025-08-14T21:30:56.6030620Z Running export/test_verifier 1/1 ... [2025-08-14 21:30:56.602857]
2025-08-14T21:30:56.6031400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:30:56.6033740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_verifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:30:56.603137]
2025-08-14T21:31:00.2521090Z 
2025-08-14T21:31:00.2522550Z export/test_verifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_verifier_1.1_61b6f8fa6d516c53_.log
2025-08-14T21:31:00.2525470Z Running 10 items in this shard: test/export/test_verifier.py::TestVerifier::test_ep_verifier_basic, test/export/test_verifier.py::TestVerifier::test_ep_verifier_buffer_mutate, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_buffer, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_output, test/export/test_verifier.py::TestVerifier::test_ep_verifier_invalid_param, test/export/test_verifier.py::TestVerifier::test_verifier_basic, test/export/test_verifier.py::TestVerifier::test_verifier_call_module, test/export/test_verifier.py::TestVerifier::test_verifier_higher_order, test/export/test_verifier.py::TestVerifier::test_verifier_nested_invalid_module, test/export/test_verifier.py::TestVerifier::test_verifier_no_functional
2025-08-14T21:31:00.2527420Z 
2025-08-14T21:31:02.4497880Z Running dynamo/test_recompile_ux 1/1 ... [2025-08-14 21:31:02.449597]
2025-08-14T21:31:02.4498680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:02.4501410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_recompile_ux.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:02.449925]
2025-08-14T21:31:03.8876190Z 
2025-08-14T21:31:03.8877010Z dynamo/test_structured_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_structured_trace_1.1_df5c0c199e95b22e_.log
2025-08-14T21:31:03.8883740Z Running 25 items in this shard: test/dynamo/test_structured_trace.py::StructuredTraceTest::test_chromium_event, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_codecache, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_collective_schedule_empty, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_collective_schedule_real, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_compile_id_serialization_deserialization, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_compiled_autograd_attribution, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_compiled_autograd_chromium, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_compiled_autograd_id, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_cudagraphs, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_ddp_graphs, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_dump_file, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_dynamo_error, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_example_fn, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_example_training_fn, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_graph_breaks, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_graph_sizes_dynamic, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_guards_recompiles, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_inductor_error, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_make_fx_fail_partial, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_recompile_user_contexts, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_recompile_user_contexts_iteration, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_recompiles, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_runtime_estimates_mixed, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_runtime_estimates_simple, test/dynamo/test_structured_trace.py::StructuredTraceTest::test_schedule
2025-08-14T21:31:03.8889340Z 
2025-08-14T21:31:04.1768580Z 
2025-08-14T21:31:04.1769350Z inductor/test_torchinductor_codegen_dynamic_shapes 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_codegen_dynamic_shapes_1.2_0c5d338b57eaa1bd_.log
2025-08-14T21:31:04.1918710Z Running 420 items in this shard: test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool1d_argmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_adaptive_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_add_const_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_addmv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aliased_buffer_reuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_arange6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_argmin_with_duplicates_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_argmax_min_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_alignment_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_avg_pool_errors_with_uint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_batch_norm_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bmm2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_int_uint8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_float_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_empty_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_negative_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_of_loops_and_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cat_upcasting_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_chunk_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_clamp_type_promotion_non_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_compar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_complex_memory_overlap_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_consecutive_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_fill_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_constant_pad_nd_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv2d_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_copy_non_blocking_is_pinned_use_cat_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cudnn_rnn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_default_layout_constraint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_custom_scan_would_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_data_type_propogation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_deterministic_codegen_with_suffix_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_device_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_diagonal_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dist_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div6_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div9_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_by_zero_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_div_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_bfloat16_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_byte_unpack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_embedding_bag_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_exp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_basic_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_float32_to_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fmin_fmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fractional_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_full_like_transposed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_functionalize_rng_wrappers_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_gelu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_generated_code_has_alignment_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_constant_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_mutation_real_name_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_no_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_grid_sampler_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_horizonal_fusion2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_propagation_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_put_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_index_select_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_indirect_load_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inductor_multiple_specializations_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_invalid_operand_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isin_tensor_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_isinf2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_l1_loss_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_grid_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lerp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_lgamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_like_rands_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linear_dynamic_maxautotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logaddexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logcumsumexp_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_logsumexp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_long_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_fill_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_masked_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_min_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_misaligned_address_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mix_device_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multi_threading_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_multilayer_var_lowp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_mutable_custom_op_fixed_layout_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_new_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_mega_fusion_during_lowering_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pattern_matcher_multi_user_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_permute2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_philox_rand_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_j1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfcx_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_erfinv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammainc_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_hermite_polynomial_he_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_laguerre_polynomial_l_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_legendre_polynomial_p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log1p_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_log_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_modified_bessel_k1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_ndtri_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pointwise_xlog1py_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_polar_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_by_natural_log2_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_pow_symfloat_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_profiler_mark_wrapper_call_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_randn_like_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reinterpret_dtypeview_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_clone_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_copy_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int32_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_repeat_interleave_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_replication_pad_errors_with_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_require_stride_expanded_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_reuse_buffers_with_aliasing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_round_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scalar_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scaled_dot_product_attention_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_add2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_scatter_reduce2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sdpa_unaligned_mask_freezing_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sgn_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_shape_prop_torch_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_simplify_loops_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_special_polygamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_cumsum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_failed_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_dynamic_shape_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_reduction_with_int64_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_integer_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_split_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stack_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_std_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_strided_inputs_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_sum_keepdims_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_device_constant_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_topk_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_transpose_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_unspec_inputs_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_a_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_cat_conv_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_var_mean_div_by_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vdd_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vectorized_ops_masked_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_on_aliased_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_view_uint8_through_differing_bitwidths_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views3_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_dim_reductions_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_codegen_dynamic_shapes.py::DynamicShapesCodegenCpuTests::test_zeros_dynamic_shapes_cpu
2025-08-14T21:31:04.2060040Z 
2025-08-14T21:31:05.7694410Z 
2025-08-14T21:31:05.7696060Z dynamo/test_recompile_ux 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_recompile_ux_1.1_8cfbed7fda9f1ea4_.log
2025-08-14T21:31:05.7703060Z Running 10 items in this shard: test/dynamo/test_recompile_ux.py::RecompileUxTests::test_drop_cache_on_skip, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_dynamic_input, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_fail_on_recompile_limit_hit, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_loop_torture, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_mismatched_type, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_multiple_guard_fails_report_all, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_nvfuser_guards, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_recompile_child_run_only, test/dynamo/test_recompile_ux.py::RecompileUxTests::test_verbose_tensor_check
2025-08-14T21:31:05.7705410Z 
2025-08-14T21:31:06.3892750Z Running dynamo/test_minifier 1/1 ... [2025-08-14 21:31:06.389057]
2025-08-14T21:31:06.3893510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:06.3896200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:06.389372]
2025-08-14T21:31:06.7617300Z Running inductor/test_cudagraph_trees_expandable_segments 1/1 ... [2025-08-14 21:31:06.761551]
2025-08-14T21:31:06.7716950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:06.7820090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'inductor/test_cudagraph_trees_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:06.761838]
2025-08-14T21:31:08.3443990Z Running test_functionalization_of_rng_ops 1/1 ... [2025-08-14 21:31:08.344208]
2025-08-14T21:31:08.3444380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:08.3446220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_functionalization_of_rng_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:08.344516]
2025-08-14T21:31:09.5334030Z 
2025-08-14T21:31:09.5334760Z inductor/test_cudagraph_trees_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_expandable_segments_1.1_1776d5e3304058ab_.log
2025-08-14T21:31:09.5335330Z 
2025-08-14T21:31:10.1704150Z 
2025-08-14T21:31:10.1705200Z dynamo/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_minifier_1.1_7d258bf943410088_.log
2025-08-14T21:31:10.1710000Z Running 15 items in this shard: test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_accuracy_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_accuracy_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_compile_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_compile_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_runtime_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cpu_runtime_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_accuracy_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_accuracy_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_compile_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_compile_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_runtime_backend_passes_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_cuda_runtime_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_after_dynamo_non_leaf_compile_error_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_cpu_cuda_module_after_dynamo_cpu, test/dynamo/test_minifier.py::MinifierTestsCPU::test_if_graph_minified_cpu
2025-08-14T21:31:10.1713710Z 
2025-08-14T21:31:10.8885130Z 
2025-08-14T21:31:10.8885880Z test_functionalization_of_rng_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functionalization_of_rng_ops_1.1_e10700d7109e9952_.log
2025-08-14T21:31:10.8887280Z Running 1 items in this shard: test/test_functionalization_of_rng_ops.py::NegativeTestCPU::test_on_cpu_cpu_float32
2025-08-14T21:31:10.8887600Z 
2025-08-14T21:31:12.1762390Z Running dynamo/test_hooks 1/1 ... [2025-08-14 21:31:12.176039]
2025-08-14T21:31:12.1763140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:12.1765830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:12.176327]
2025-08-14T21:31:12.8339140Z Running dynamo/test_generator 1/1 ... [2025-08-14 21:31:12.833654]
2025-08-14T21:31:12.8339500Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:12.8340700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:12.833968]
2025-08-14T21:31:13.3892990Z Running dynamo/test_reorder_logs 1/1 ... [2025-08-14 21:31:13.389166]
2025-08-14T21:31:13.3893300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:13.3895690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_reorder_logs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:13.389451]
2025-08-14T21:31:16.3572880Z 
2025-08-14T21:31:16.3573460Z dynamo/test_reorder_logs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_reorder_logs_1.1_ce094820d43940cd_.log
2025-08-14T21:31:16.3578800Z Running 14 items in this shard: test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method0_fn0_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method1_fn1_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method2_fn2_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method3_fn3_should_ignore_logger_False, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method4_fn4_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method5_fn5_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method6_fn6_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::IgnoreLogsTests::test_ignore_logger_ignore_method7_fn7_should_ignore_logger_True, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_constant_mutation, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_dont_reorder_print, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_custom_log_fn, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_print, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_print_graph_break, test/dynamo/test_reorder_logs.py::ReorderLogsTests::test_reorder_warnings
2025-08-14T21:31:16.3582610Z 
2025-08-14T21:31:16.9335680Z 
2025-08-14T21:31:16.9336700Z dynamo/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_generator_1.1_cb7cdca22e4333e1_.log
2025-08-14T21:31:16.9353470Z Running 75 items in this shard: test/dynamo/test_generator.py::GeneratorTests::test_cleanup_throw, test/dynamo/test_generator.py::GeneratorTests::test_deque_extendleft, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container0, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container1, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container2, test/dynamo/test_generator.py::GeneratorTests::test_dict_tuple_list_generator_container3, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_generator, test/dynamo/test_generator.py::GeneratorTests::test_dynamo_disable_sub_generator, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains__, test/dynamo/test_generator.py::GeneratorTests::test_generator___contains___side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_2, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_3, test/dynamo/test_generator.py::GeneratorTests::test_generator_as_argument_4, test/dynamo/test_generator.py::GeneratorTests::test_generator_simple, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break, test/dynamo/test_generator.py::GeneratorTests::test_generator_with_side_effects_graph_break_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_and_reconstruct_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_before_calling_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_in_generator_while_reconstructing, test/dynamo/test_generator.py::GeneratorTests::test_graph_break_outside_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_infinite_generator_3, test/dynamo/test_generator.py::GeneratorTests::test_islice_chain, test/dynamo/test_generator.py::GeneratorTests::test_iter, test/dynamo/test_generator.py::GeneratorTests::test_list_extend, test/dynamo/test_generator.py::GeneratorTests::test_list_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_tensor_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_dict_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_local_var_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation, test/dynamo/test_generator.py::GeneratorTests::test_reconstruct_generator_with_object_mutation_before, test/dynamo/test_generator.py::GeneratorTests::test_return_advanced_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_exhaust_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_generator, test/dynamo/test_generator.py::GeneratorTests::test_return_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_return_tuple_generator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator, test/dynamo/test_generator.py::GeneratorTests::test_subgenerator_with_side_effects, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_generator_2, test/dynamo/test_generator.py::GeneratorTests::test_zip_infinite_generator, test/dynamo/test_generator.py::GeneratorTests::test_zip_subgenerator, test/dynamo/test_generator.py::TestGeneratorSend::test_send, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorSend::test_send_stop_iteration_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_close, test/dynamo/test_generator.py::TestGeneratorClose::test_close_after_exception, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_GeneratorExit_return, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_GeneratorExit, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc0, test/dynamo/test_generator.py::TestGeneratorClose::test_close_capture_and_reraise_exc_exc1, test/dynamo/test_generator.py::TestGeneratorClose::test_close_handling_finally, test/dynamo/test_generator.py::TestGeneratorClose::test_close_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_side_effects, test/dynamo/test_generator.py::TestGeneratorClose::test_close_with_subgen, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_False, test/dynamo/test_generator.py::TestGeneratorClose::test_next_after_close_fullgraph_True, test/dynamo/test_generator.py::TestGeneratorThrow::test_exception_context_with_yield, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_no_yield_after_throw, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_not_catch, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_raise_difference_exc, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_try_except_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_with_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_without_finally, test/dynamo/test_generator.py::TestGeneratorThrow::test_throw_yield_finally
2025-08-14T21:31:16.9368730Z 
2025-08-14T21:31:18.8276310Z Running dynamo/test_subclasses 1/1 ... [2025-08-14 21:31:18.827422]
2025-08-14T21:31:18.8277080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:18.8279230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:18.827733]
2025-08-14T21:31:19.3188480Z Running export/test_sparse 1/1 ... [2025-08-14 21:31:19.318673]
2025-08-14T21:31:19.3189220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:19.3191530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:19.318953]
2025-08-14T21:31:21.6458600Z 
2025-08-14T21:31:21.6459570Z export/test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_sparse_1.1_dbecce2008c96fb5_.log
2025-08-14T21:31:21.6502280Z Running 203 items in this shard: test/export/test_sparse.py::TestSparseProp::test_activation_coo, test/export/test_sparse.py::TestSparseProp::test_activation_csr, test/export/test_sparse.py::TestSparseProp::test_add, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_eltwisenet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_idnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_sumnet_int64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_bfloat16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float16_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float32_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_float64_int64_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int32_SparseCSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseBSR, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCOO, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSC, test/export/test_sparse.py::TestSparseProp::test_todensenet_int64_int64_SparseCSR
2025-08-14T21:31:21.6542330Z 
2025-08-14T21:31:23.8650040Z Running functorch/test_eager_transforms 1/1 ... [2025-08-14 21:31:23.864781]
2025-08-14T21:31:23.8650940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:23.8653240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:23.865090]
2025-08-14T21:31:25.5439800Z 
2025-08-14T21:31:25.5440880Z dynamo/test_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_hooks_1.1_e2c3e797311e86fb_.log
2025-08-14T21:31:25.5448550Z Running 34 items in this shard: test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_complex_state_mutation_in_intermediary_hooks_same_on_inductor_with_graph_break, test/dynamo/test_hooks.py::HooksTests::test_functools_arg_vary, test/dynamo/test_hooks.py::HooksTests::test_global_module_forward_pre_hook, test/dynamo/test_hooks.py::HooksTests::test_hook_with_closure, test/dynamo/test_hooks.py::HooksTests::test_hook_with_nested_closure, test/dynamo/test_hooks.py::HooksTests::test_input_hooks_same, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_aot_eager, test/dynamo/test_hooks.py::HooksTests::test_intermediary_hooks_same_on_inductor, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_aot, test/dynamo/test_hooks.py::HooksTests::test_intermediate_hook_with_closure_eager, test/dynamo/test_hooks.py::HooksTests::test_nnmodule_hook_guards, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_hook_identity_change, test/dynamo/test_hooks.py::HooksTests::test_no_recompile_on_same_hook, test/dynamo/test_hooks.py::HooksTests::test_post_acc_grad_hook, test/dynamo/test_hooks.py::HooksTests::test_recompile, test/dynamo/test_hooks.py::HooksTests::test_register_hook_partial_guarding, test/dynamo/test_hooks.py::HooksTests::test_removed_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_only_register_hook_in_graph_local_inner, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hook, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_global_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_break_handle_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_lambda, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_in_graph_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_multi_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_not_local, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_hook_repeated_handle_return, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks, test/dynamo/test_hooks.py::HooksTests::test_tensor_register_multiple_hooks_handles_in_list, test/dynamo/test_hooks.py::HooksTests::test_wrap_top_frame_with_hooks
2025-08-14T21:31:25.5455290Z 
2025-08-14T21:31:27.7582590Z Running export/test_draft_export 1/1 ... [2025-08-14 21:31:27.757489]
2025-08-14T21:31:27.7619690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:27.7722550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:27.757776]
2025-08-14T21:31:30.6552220Z 
2025-08-14T21:31:30.6553460Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_c45f46a33add1e9f_.log
2025-08-14T21:31:30.6560010Z Running 21 items in this shard: test/export/test_draft_export.py::TestDraftExport::test_complex_data_dependent_expr, test/export/test_draft_export.py::TestDraftExport::test_constantify_unbacked_symbol, test/export/test_draft_export.py::TestDraftExport::test_cuda_memory_usage, test/export/test_draft_export.py::TestDraftExport::test_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_dedup_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_fake_infer_dense_in_memory_check, test/export/test_draft_export.py::TestDraftExport::test_masked_linear, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_basic, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_multiple_profiles, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_update_profile, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_guard, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_impl, test/export/test_draft_export.py::TestDraftExport::test_offsets, test/export/test_draft_export.py::TestDraftExport::test_override_incorrectly_aliasing_kernel, test/export/test_draft_export.py::TestDraftExport::test_override_mismatched_fake_kernel_with_unbacked_symbols, test/export/test_draft_export.py::TestDraftExport::test_override_size_and_dtype_mismatched_fake_kernels, test/export/test_draft_export.py::TestDraftExport::test_shape_failure, test/export/test_draft_export.py::TestDraftExport::test_side_effect1, test/export/test_draft_export.py::TestDraftExport::test_side_effect_inps, test/export/test_draft_export.py::TestDraftExport::test_torchbind, test/export/test_draft_export.py::TestDraftExport::test_unbacked_div_mod_replacement
2025-08-14T21:31:30.6564710Z 
2025-08-14T21:31:32.9120610Z Running dynamo/test_comptime 1/1 ... [2025-08-14 21:31:32.911853]
2025-08-14T21:31:32.9121400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:32.9123460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:32.912150]
2025-08-14T21:31:35.5870270Z 
2025-08-14T21:31:35.5870860Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_43e1a79e9e627b9e_.log
2025-08-14T21:31:35.5965990Z Running 355 items in this shard: test/functorch/test_eager_transforms.py::TestSliceArgnums::test_argnums_reorders, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_duplicate_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_negative_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_positive_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_tuple_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_invalid_argnum_type, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_not_enough_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_out_of_bounds_argnum_values, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_pytree_args, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_buffer_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_ensemble, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_grad, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_leaf, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_mismatch_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_advanced_indexing_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composed_with_autograd_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_two_ops_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_conj_bit_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_dtype_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_ignored_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_marked_as_dead_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_fn_with_kwargs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_with_buffers_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_base_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_invalid_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_is_cuda_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_manual_seed_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_negative_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_nesting_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_fn_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_only_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_value_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_numel_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_out_of_order_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_primitive_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_print_captured_tensor_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_shape_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_ctor_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_hessian_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_view_inplace_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_views_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_error_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_input_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_output_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_two_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_zero_grad_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_log_softmax_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_empty_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_zeros_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_simple_cpu, 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test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_make_functional_originally_track_running_stats_True_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_basic_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_functional_call_multiple_dicts_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_name_wrapping_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_outside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_sum_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fake_tensors_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_multi_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_reapply_views_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_transpose_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_grad_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_nonfunctional_output_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_opt_tensor_list_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist1_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist2_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_linear_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_inplace_slice_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_resize_program_inputs_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_simple_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_vmap_functionalize_jvp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_grad_fn_name_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_needs_input_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_autograd_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_set_materialize_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_has_vmap_staticmethod_and_has_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_single_input_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_incompatible_out_dims_error_msg_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_info_object_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_kwarg_only_tensors_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_no_vmap_staticmethod_and_no_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_none_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_should_have_two_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_skips_empty_layer_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_error_if_name_collision_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_nesting_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_overrides_saved_tensors_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_passthrough_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_debug_unwrap_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_reductify_leaf_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_compile_vmap_hessian_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_grad_deprecated_api_cpu
2025-08-14T21:31:35.6057180Z 
2025-08-14T21:31:37.6428890Z Running test_testing 1/1 ... [2025-08-14 21:31:37.642724]
2025-08-14T21:31:37.6429210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:37.6431040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_testing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:37.643004]
2025-08-14T21:31:40.9743760Z 
2025-08-14T21:31:40.9744830Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_3e4b1493c9ec9ff0_.log
2025-08-14T21:31:40.9747480Z Running 12 items in this shard: test/dynamo/test_comptime.py::ComptimeTests::test_get_local, test/dynamo/test_comptime.py::ComptimeTests::test_get_local_closure_variable, test/dynamo/test_comptime.py::ComptimeTests::test_graph_break, test/dynamo/test_comptime.py::ComptimeTests::test_print_bt, test/dynamo/test_comptime.py::ComptimeTests::test_print_direct, test/dynamo/test_comptime.py::ComptimeTests::test_print_disas, test/dynamo/test_comptime.py::ComptimeTests::test_print_graph, test/dynamo/test_comptime.py::ComptimeTests::test_print_guards, test/dynamo/test_comptime.py::ComptimeTests::test_print_locals, test/dynamo/test_comptime.py::ComptimeTests::test_print_single, test/dynamo/test_comptime.py::ComptimeTests::test_print_value_stack, test/dynamo/test_comptime.py::ComptimeTests::test_sleep
2025-08-14T21:31:40.9749510Z 
2025-08-14T21:31:43.3403470Z Running dynamo/test_python_autograd 1/1 ... [2025-08-14 21:31:43.340133]
2025-08-14T21:31:43.3404280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:43.3406440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:43.340422]
2025-08-14T21:31:46.0839560Z 
2025-08-14T21:31:46.0841940Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_3cc9761797c155db_.log
2025-08-14T21:31:46.0843510Z Running 5 items in this shard: test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_split
2025-08-14T21:31:46.0844550Z 
2025-08-14T21:31:48.5305500Z Running test_quantization 1/1 ... [2025-08-14 21:31:48.530343]
2025-08-14T21:31:48.5306250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:48.5308390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:48.530630]
2025-08-14T21:31:49.6939860Z 
2025-08-14T21:31:49.6940790Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_2dd8e84a46f3621c_.log
2025-08-14T21:31:49.6970760Z Running 125 items in this shard: test/dynamo/test_subclasses.py::SubclassTests::test_as_subclass_attr_mutation, test/dynamo/test_subclasses.py::SubclassTests::test_base_torch_function_tracing, test/dynamo/test_subclasses.py::SubclassTests::test_compile_higher_order_with_functionalization, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_fake_tensor_automatic_dynamic, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_fake_tensor_dynamic_dim, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_functionalization, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function_restore_values, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function_restore_values_graph_break, test/dynamo/test_subclasses.py::SubclassTests::test_has_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_make_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_mark_static_with_subclass_desugaring_dynamic_False, test/dynamo/test_subclasses.py::SubclassTests::test_mark_static_with_subclass_desugaring_dynamic_True, test/dynamo/test_subclasses.py::SubclassTests::test_newly_constructed_tensor_subclass_attr_mutation, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_from_buffer, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_from_cat, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_simple, test/dynamo/test_subclasses.py::SubclassTests::test_no_call_to_new, test/dynamo/test_subclasses.py::SubclassTests::test_no_torch_function_on_size_bytecode, test/dynamo/test_subclasses.py::SubclassTests::test_no_torch_function_recompiles, test/dynamo/test_subclasses.py::SubclassTests::test_nontraceable_tensor_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_overridden_method_guarding, test/dynamo/test_subclasses.py::SubclassTests::test_parameter_subclass_custom_torch_func_and_dynamic_attr, test/dynamo/test_subclasses.py::SubclassTests::test_parameter_subclass_with_old_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_recompile_with_symbool_inputs, test/dynamo/test_subclasses.py::SubclassTests::test_recompiles_with_optional_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_return_as_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_return_local_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_return_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_TwoTensor_TwoTensor_TwoTensor, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_TwoTensor_nested_diff_sizes, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_constructor_proxying, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_dont_invoke_torch_function_on_overridden_attr, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_dont_invoke_torch_function_on_overridden_method, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_override_shape_and_to, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_views_dynamic_False, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_views_dynamic_True, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_with_disabled_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_support_bases, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_automatic_dynamic_shapes, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_clone_view, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_different_shape, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_mark_dynamic_shapes, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_mul, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_nested, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_multiple, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_shape, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_tensor_and_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_simple, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_view, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_view_mul, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_attr_codegen_tos, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_error_arg_num, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_error_not_classmethod, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_override, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_guards, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_recursive_guards, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_custom_attr, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_with_non_classmethod_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_torch_dispatch_subclass_guard_recompile, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_attr, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_method, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_method_arg, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_list_args, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_graph_break, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_guards, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_nested, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_tracing, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_subclass_survives_into_aot_autograd, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_wrapper_class, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_wrapper_class_with_kwargs, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_equality_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_equality_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_identity_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_identity_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_isinstance_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_isinstance_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_attr_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_method_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_property_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_dynamo_attribute_access_on_intermediate, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_guards_on_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_with_differently_sized_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_with_same_sized_inner_tensor, test/dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd, test/dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd_inductor, test/dynamo/test_subclasses.py::TestNestedTensor::test_binary_does_not_recompile, test/dynamo/test_subclasses.py::TestNestedTensor::test_binary_recompiles, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_4, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_5, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_6, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_3, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_4, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_5, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed_3, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_is_nested_call, test/dynamo/test_subclasses.py::TestNestedTensor::test_inference_tensor, test/dynamo/test_subclasses.py::TestNestedTensor::test_inline_nested_tensor_from_jagged, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_basic, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_False_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_False_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_True_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_True_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_obscure, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_basic, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_False_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_False_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_True_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_True_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_obscure, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_dense_subclass_dense_subclass, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_subclass_dense, test/dynamo/test_subclasses.py::TestNestedTensor::test_param_subclass_isinstance_input, test/dynamo/test_subclasses.py::TestNestedTensor::test_return_shape, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_dense_subclass_dense_view, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_gives_static_shapes_when_dynamic_false, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_with_mutation_in_graph, test/dynamo/test_subclasses.py::TestNestedTensor::test_unary_does_not_recompile, test/dynamo/test_subclasses.py::TestNestedTensor::test_unbind
2025-08-14T21:31:49.6998660Z 
2025-08-14T21:31:51.8776440Z Running test_transformers 2/2 ... [2025-08-14 21:31:51.877473]
2025-08-14T21:31:51.8777200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:31:51.8780520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_transformers.py', '-m', 'not serial', '--shard-id=2', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:31:51.877746]
2025-08-14T21:32:04.9129200Z 
2025-08-14T21:32:04.9131190Z test_testing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_testing_1.1_d3504a772dd79ffa_.log
2025-08-14T21:32:04.9715450Z Running 2069 items in this shard: test/test_testing.py::TestTestingCPU::test_assertEqual_longMessage_cpu, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_bool, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex128, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_complex64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_float64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int16, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int32, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int64, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_int8, test/test_testing.py::TestTestingCPU::test_assertEqual_numpy_cpu_uint8, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_not_stop_common_distributed_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_device_type_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_cuda_assert_should_stop_common_utils_test_suite_cpu, test/test_testing.py::TestTestingCPU::test_get_supported_dtypes_cpu, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_bool, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_atol_rtol_greater_than_zero_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_bool_cpu, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_complex_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_equality_shortcut_cpu, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_float_cpu_float64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int16, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int32, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int64, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_int8, test/test_testing.py::TestTestingCPU::test_isclose_integer_cpu_uint8, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex128, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_complex64, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float16, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float32, test/test_testing.py::TestTestingCPU::test_isclose_nan_equality_shortcut_cpu_float64, test/test_testing.py::TestTestingCPU::test_setup_and_teardown_run_for_device_specific_tests_cpu, test/test_testing.py::TestTestingCPU::test_supported_dtypes_abs_cpu, test/test_testing.py::TestFrameworkUtils::test_filtering_env_var, test/test_testing.py::TestAssertClose::test_bool, test/test_testing.py::TestAssertClose::test_default_tolerance_selection_mismatching_dtypes, test/test_testing.py::TestAssertClose::test_docstring_examples, test/test_testing.py::TestAssertClose::test_matching, test/test_testing.py::TestAssertClose::test_matching_atol, test/test_testing.py::TestAssertClose::test_matching_conjugate_bit, test/test_testing.py::TestAssertClose::test_matching_nan, test/test_testing.py::TestAssertClose::test_matching_nan_with_equal_nan, test/test_testing.py::TestAssertClose::test_matching_rtol, test/test_testing.py::TestAssertClose::test_meta, test/test_testing.py::TestAssertClose::test_mismatching_dtype, test/test_testing.py::TestAssertClose::test_mismatching_dtype_no_check, test/test_testing.py::TestAssertClose::test_mismatching_layout, test/test_testing.py::TestAssertClose::test_mismatching_layout_no_check, test/test_testing.py::TestAssertClose::test_mismatching_shape, test/test_testing.py::TestAssertClose::test_mismatching_stride, test/test_testing.py::TestAssertClose::test_mismatching_stride_no_check, test/test_testing.py::TestAssertClose::test_mismatching_types, test/test_testing.py::TestAssertClose::test_mismatching_types_subclasses, test/test_testing.py::TestAssertClose::test_mismatching_types_type_equality, test/test_testing.py::TestAssertClose::test_mismatching_values, test/test_testing.py::TestAssertClose::test_mismatching_values_atol, test/test_testing.py::TestAssertClose::test_mismatching_values_rtol, test/test_testing.py::TestAssertClose::test_none, test/test_testing.py::TestAssertClose::test_none_mismatch, test/test_testing.py::TestAssertClose::test_numpy, test/test_testing.py::TestAssertClose::test_only_atol, test/test_testing.py::TestAssertClose::test_only_rtol, test/test_testing.py::TestAssertClose::test_scalar, test/test_testing.py::TestAssertClose::test_unexpected_error_compare, test/test_testing.py::TestAssertClose::test_unexpected_error_originate, test/test_testing.py::TestAssertClose::test_unknown_layout, test/test_testing.py::TestAssertClose::test_unknown_type, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_abs_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_atol, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_scalars, test/test_testing.py::TestAssertCloseErrorMessage::test_identifier_tensor_likes, test/test_testing.py::TestAssertCloseErrorMessage::test_mismatched_elements, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_callable, test/test_testing.py::TestAssertCloseErrorMessage::test_msg_str, test/test_testing.py::TestAssertCloseErrorMessage::test_not_close, test/test_testing.py::TestAssertCloseErrorMessage::test_not_equal, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff, test/test_testing.py::TestAssertCloseErrorMessage::test_rel_diff_scalar, test/test_testing.py::TestAssertCloseErrorMessage::test_rtol, test/test_testing.py::TestAssertCloseErrorMessage::test_small_float_dtype, test/test_testing.py::TestAssertCloseErrorMessage::test_zero_div_zero, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_keys, test/test_testing.py::TestAssertCloseContainer::test_mapping_mismatching_values_msg, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_len, test/test_testing.py::TestAssertCloseContainer::test_sequence_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_coalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_matching_uncoalesced, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_indices_msg, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_nnz, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_sparse_dims, test/test_testing.py::TestAssertCloseSparseCOO::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_matching, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseCSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_matching, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseCSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_matching, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_col_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_crow_indices_msg, test/test_testing.py::TestAssertCloseSparseBSR::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_matching, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_ccol_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_row_indices_msg, test/test_testing.py::TestAssertCloseSparseBSC::test_mismatching_values_msg, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_channel, test/test_testing.py::TestAssertCloseQuantized::test_matching_per_tensor, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_is_quantized, test/test_testing.py::TestAssertCloseQuantized::test_mismatching_qscheme, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bfloat16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_bool, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex128, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_exclude_zero_cpu_float64, 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test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_complex32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_complex64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_float64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int16, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int32, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int64, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_int8, test/test_testing.py::TestMakeTensorCPU::test_low_ge_high_low_high0_value_types1_cpu_uint8, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_permuted_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_empty_strided_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_eq_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_equal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erfc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_erfinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_exp2_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_fftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_hfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ifftshift_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_ihfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_irfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfft_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fft_rfftn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flatten_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flip_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fliplr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_flipud_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_float_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_floor_divide_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_fmod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_frexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_full_like_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gather_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gcd_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ge_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geometric_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_geqrf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gradient_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_grid_sampler_2d_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_gt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_half_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hash_tensor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_heaviside_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histc_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogram_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_histogramdd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hsplit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hstack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_hypot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_i0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_igammac_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_imag_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_add_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_put_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_reduce_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_index_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_inner_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_int_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isclose_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isfinite_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isinf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isnan_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isneginf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isposinf_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_isreal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_istft_cpu_complex64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_item_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_2inputs_2outputs_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_4inputs_with_extra_args_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_binary_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_binary_return_by_ref_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_jiterator_unary_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_kron_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_kthvalue_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lcm_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_ldexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_le_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lerp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lgamma_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cholesky_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cond_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_cross_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_det_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_diagonal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eig_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvals_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_eigvalsh_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_householder_product_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_inv_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_factor_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_ldl_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lstsq_grad_oriented_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_factor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_factor_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_lu_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_power_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_rank_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_matrix_rank_hermitian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_multi_dot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_norm_subgradients_at_zero_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_hermitian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_pinv_singular_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_qr_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_slogdet_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_ex_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_solve_triangular_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_svd_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_svdvals_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_tensorinv_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_tensorsolve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vander_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vecdot_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linalg_vector_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linspace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_linspace_tensor_overload_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log10_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log1p_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_normal_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_log_softmax_with_dtype_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logaddexp2_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logaddexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logcumsumexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logdet_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_and_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_not_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_or_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logical_xor_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logit_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logspace_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logspace_tensor_overload_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_logsumexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_long_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lt_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lu_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lu_solve_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_lu_unpack_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_mH_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_mT_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_amax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_argmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_argmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_cumprod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_cumsum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_fill_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_log_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_logaddexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_logsumexp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_median_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_norm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_normalize_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_softmin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_std_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_sum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_masked_var_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_matmul_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_matrix_exp_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_max_binary_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_amin_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_mean_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_prod_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_scatter_reduce_sum_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_searchsorted_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_select_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_select_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sgn_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_short_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sigmoid_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sign_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_bartlett_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_blackman_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_cosine_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_exponential_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_gaussian_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_signal_windows_general_cosine_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_slice_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_slice_scatter_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_softmax_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_softmax_with_dtype_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sort_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sparse_mm_reduce_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_sparse_sampled_addmm_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_airy_ai_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_bessel_j0_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k0_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_scaled_modified_bessel_k1_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_special_spherical_bessel_j0_cpu_float32, 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test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_consecutive_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unique_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unravel_index_cpu_int64, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_chunk_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsafe_split_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_copy_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_unsqueeze_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_cpu_float32, test/test_testing.py::TestOpInfoSampleFunctionsCPU::test_opinfo_sample_generators_var_mean_cpu_float32, 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2025-08-14T21:32:05.0297710Z 
2025-08-14T21:32:08.0587720Z Running test_ao_sparsity 1/1 ... [2025-08-14 21:32:08.058592]
2025-08-14T21:32:08.0590570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:32:08.0603530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ao_sparsity.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:08.058894]
2025-08-14T21:32:15.0885360Z 
2025-08-14T21:32:15.0886150Z test_ao_sparsity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ao_sparsity_1.1_2d52992f1c116063_.log
2025-08-14T21:32:15.0901250Z Running 76 items in this shard: test/test_ao_sparsity.py::TestQuantizedSparseKernels::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear, test/test_ao_sparsity.py::TestQuantizedSparseLayers::test_sparse_qlinear_serdes, test/test_ao_sparsity.py::TestFakeSparsity::test_jit_trace, test/test_ao_sparsity.py::TestFakeSparsity::test_masking_logic, test/test_ao_sparsity.py::TestFakeSparsity::test_state_dict_preserved, test/test_ao_sparsity.py::TestFakeSparsity::test_weights_parametrized, test/test_ao_sparsity.py::TestCubicScheduler::test_constructor, test/test_ao_sparsity.py::TestCubicScheduler::test_step, test/test_ao_sparsity.py::TestScheduler::test_constructor, test/test_ao_sparsity.py::TestScheduler::test_lambda_scheduler, test/test_ao_sparsity.py::TestScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestScheduler::test_step, test/test_ao_sparsity.py::TestBaseSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseSparsifier::test_convert, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params1, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params2, test/test_ao_sparsity.py::TestBaseSparsifier::test_mask_squash_with_params3, test/test_ao_sparsity.py::TestBaseSparsifier::test_prepare_config, test/test_ao_sparsity.py::TestBaseSparsifier::test_state_dict, test/test_ao_sparsity.py::TestBaseSparsifier::test_step, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_constructor, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_prepare, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestNearlyDiagonalSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_constructor, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_mask_squash, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_prepare, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_sparsity_levels, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step, test/test_ao_sparsity.py::TestWeightNormSparsifier::test_step_2_of_4, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_complex_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_constructor, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prepare_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_activation_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_bias_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_padding_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_conv2d_pool_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_activation_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_bias_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_linear_linear, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_layernorm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_multiple_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_prune_lstm_linear_single_layer, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_conv2d, test/test_ao_sparsity.py::TestBaseStructuredSparsifier::test_step_linear, test/test_ao_sparsity.py::TestFPGMPruner::test_compute_distance, test/test_ao_sparsity.py::TestFPGMPruner::test_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_lstm_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestSaliencyPruner::test_saliency_pruner_update_mask, test/test_ao_sparsity.py::TestActivationSparsifier::test_activation_sparsifier, test/test_ao_sparsity.py::TestBaseDataScheduler::test_constructor, test/test_ao_sparsity.py::TestBaseDataScheduler::test_order_of_steps, test/test_ao_sparsity.py::TestBaseDataScheduler::test_state_dict, test/test_ao_sparsity.py::TestBaseDataScheduler::test_step, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_embeddings, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_nn_parameters, test/test_ao_sparsity.py::TestBaseDataSparsifier::test_tensors, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_embeddings, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_nn_parameters, test/test_ao_sparsity.py::TestNormDataSparsifiers::test_tensors, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_quantize_first, test/test_ao_sparsity.py::TestQuantizationUtils::test_ptq_sparsify_first, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_fqn_to_module_for_tensors, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_get_arg_info_from_tensor_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_fail, test/test_ao_sparsity.py::TestSparsityUtilFunctions::test_module_to_fqn_root
2025-08-14T21:32:15.0915700Z 
2025-08-14T21:32:18.6099490Z Running test_license 1/1 ... [2025-08-14 21:32:18.609783]
2025-08-14T21:32:18.6100960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:32:18.6108730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_license.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:18.610302]
2025-08-14T21:32:21.1651470Z 
2025-08-14T21:32:21.1653160Z test_license 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_license_1.1_e47d35e34d21402f_.log
2025-08-14T21:32:21.1655310Z Running 2 items in this shard: test/test_license.py::TestLicense::test_distinfo_license, test/test_license.py::TestLicense::test_license_for_wheel
2025-08-14T21:32:21.1656380Z 
2025-08-14T21:32:23.5893240Z Running torch_np/test_binary_ufuncs 1/1 ... [2025-08-14 21:32:23.589112]
2025-08-14T21:32:23.5894110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:32:23.5897020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_binary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:23.589490]
2025-08-14T21:32:26.1316850Z 
2025-08-14T21:32:26.1323240Z torch_np/test_binary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_binary_ufuncs_1.1_7cbc71e9bc0c6e2f_.log
2025-08-14T21:32:26.1345380Z Running 38 items in this shard: test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_add, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_arctan2, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_bitwise_and, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_bitwise_or, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_bitwise_xor, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_copysign, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_divide, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_equal, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_float_power, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_floor_divide, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_fmax, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_fmin, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_fmod, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_gcd, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_greater, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_greater_equal, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_heaviside, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_hypot, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_lcm, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_ldexp, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_left_shift, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_less, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_less_equal, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_logaddexp, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_logaddexp2, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_logical_and, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_logical_or, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_logical_xor, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_matmul, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_maximum, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_minimum, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_multiply, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_nextafter, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_not_equal, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_power, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_remainder, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_right_shift, test/torch_np/test_binary_ufuncs.py::TestBinaryUfuncBasic::test_subtract
2025-08-14T21:32:26.1365640Z 
2025-08-14T21:32:28.6086540Z Running torch_np/test_unary_ufuncs 1/1 ... [2025-08-14 21:32:28.608419]
2025-08-14T21:32:28.6087340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:32:28.6090550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:28.608792]
2025-08-14T21:32:31.1935300Z 
2025-08-14T21:32:31.1936160Z torch_np/test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_unary_ufuncs_1.1_e725693af4aa407c_.log
2025-08-14T21:32:31.1944400Z Running 42 items in this shard: test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_absolute, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arccos, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arccosh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arcsin, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arcsinh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arctan, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_arctanh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_cbrt, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_ceil, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_conjugate, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_cos, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_cosh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_deg2rad, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_degrees, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_exp, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_exp2, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_expm1, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_fabs, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_floor, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_isfinite, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_isinf, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_isnan, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_log, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_log10, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_log1p, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_log2, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_logical_not, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_negative, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_positive, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_rad2deg, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_radians, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_reciprocal, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_rint, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_sign, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_signbit, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_sin, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_sinh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_sqrt, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_square, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_tan, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_tanh, test/torch_np/test_unary_ufuncs.py::TestUnaryUfuncs::test_trunc
2025-08-14T21:32:31.1951140Z 
2025-08-14T21:32:33.6556610Z Running test_foreach 1/1 ... [2025-08-14 21:32:33.655465]
2025-08-14T21:32:33.6557570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:32:33.6560400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_foreach.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:32:33.655748]
2025-08-14T21:33:17.6771490Z 
2025-08-14T21:33:17.6777360Z test_foreach 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_foreach_1.1_f44149f8d3efdfe9_.log
2025-08-14T21:33:17.7758350Z Running 3577 items in this shard: test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_cpu_ok_cpu, test/test_foreach.py::TestForeachCPU::test_0dim_tensor_overload_exception_cpu, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_bfloat16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_complex64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_float64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int16, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int32, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int64, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_int8, test/test_foreach.py::TestForeachCPU::test_add_scalar_with_empty_list_and_empty_tensor_cpu_uint8, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_abs_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_acos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_add_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcdiv_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_addcmul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_asin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_atan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_ceil_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_clamp_min_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_copy_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cos_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_cosh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_div_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erf_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_erfc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_exp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_expm1_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_floor_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_frac_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lerp_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_lgamma_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log10_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log1p_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log2_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_log_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_max_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_maximum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_minimum_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_mul_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_neg_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_norm_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_pow_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_reciprocal_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_round_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_rsqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sigmoid_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sign_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sin_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sinh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sqrt_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_sub_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tan_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_tanh_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_trunc_cpu_float32, test/test_foreach.py::TestForeachCPU::test_all_zero_size_tensors_do_not_launch_kernel__foreach_zero_cpu_float32, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_abs_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_inplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_acos_outplace_cpu_float64, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_complex128, test/test_foreach.py::TestForeachCPU::test_autodiff__foreach_add_inplace_cpu_float64, 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2025-08-14T21:33:17.8711490Z 
2025-08-14T21:33:20.2552540Z Running test_expanded_weights 1/1 ... [2025-08-14 21:33:20.255073]
2025-08-14T21:33:20.2553320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:33:20.2555550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_expanded_weights.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:20.255362]
2025-08-14T21:33:28.1281700Z 
2025-08-14T21:33:28.1282230Z test_expanded_weights 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_expanded_weights_1.1_e26a5d92f0cdf288_.log
2025-08-14T21:33:28.1341990Z Running 189 items in this shard: test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_forward_helper_failure_args_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_set_grad_sample_if_exists_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_sum_over_all_but_batch_and_last_n_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_failure_cpu, test/test_expanded_weights.py::TestExpandedWeightHelperFunctionCPU::test_unpack_expanded_weight_or_tensor_with_custom_function_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_mean_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_cnn_model_sum_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_embedding_model_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_error_cpu, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_bfloat16, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex128, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_complex64, test/test_expanded_weights.py::TestExpandedWeightFunctionalCPU::test_expanded_weight_forward_nn_functional_conv1d_cpu_float16, 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2025-08-14T21:33:28.1399600Z 
2025-08-14T21:33:30.3546990Z Running typing/test_python_operators 1/1 ... [2025-08-14 21:33:30.354522]
2025-08-14T21:33:30.3547850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:33:30.3549980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'typing/test_python_operators.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:30.354800]
2025-08-14T21:33:33.1122070Z 
2025-08-14T21:33:33.1123540Z typing/test_python_operators 1/1 was successful, full logs can be found in artifacts with path test/test-reports/typing.test_python_operators_1.1_c517f5117ea73c38_.log
2025-08-14T21:33:33.1222530Z Running 318 items in this shard: test/typing/test_python_operators.py::TestPythonOperators::test_binary_a100_op_%_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a101_op_%_b101, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a102_op_%_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a103_op_%_b103, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a104_op_*_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a105_op_*_b105, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a106_op_*_b_3, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a107_op_*_b107, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a108_op_**_b_1_5, test/typing/test_python_operators.py::TestPythonOperators::test_binary_a109_op_**_b109, 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2025-08-14T21:33:33.1297450Z 
2025-08-14T21:33:35.4299730Z Running test_fx_experimental 1/1 ... [2025-08-14 21:33:35.429769]
2025-08-14T21:33:35.4300700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:33:35.4324400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_experimental.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:33:35.430085]
2025-08-14T21:34:10.3194810Z 
2025-08-14T21:34:10.3202080Z test_fx_experimental 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_experimental_1.1_d7dafc28ffdfd1ed_.log
2025-08-14T21:34:10.3516420Z Running 723 items in this shard: test/test_fx_experimental.py::TestFXExperimental::test_annotate_getitem_node, test/test_fx_experimental.py::TestFXExperimental::test_annotate_returns_with_schema, test/test_fx_experimental.py::TestFXExperimental::test_aot_based_partition, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_no_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_empty_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_msg, test/test_fx_experimental.py::TestFXExperimental::test_call_to_assert_with_multiline_message, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_mixed_dtype, test/test_fx_experimental.py::TestFXExperimental::test_conv_bn_fusion_not_running_state, test/test_fx_experimental.py::TestFXExperimental::test_cost_aware_partition, test/test_fx_experimental.py::TestFXExperimental::test_fetch, test/test_fx_experimental.py::TestFXExperimental::test_find_single_partition, test/test_fx_experimental.py::TestFXExperimental::test_lack_of_devices, test/test_fx_experimental.py::TestFXExperimental::test_large_node_error, test/test_fx_experimental.py::TestFXExperimental::test_merge_matmuls, test/test_fx_experimental.py::TestFXExperimental::test_meta_tracer, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_perserve_type, test/test_fx_experimental.py::TestFXExperimental::test_normalize_args_preserve_meta, test/test_fx_experimental.py::TestFXExperimental::test_normalize_binary_operators, test/test_fx_experimental.py::TestFXExperimental::test_normalize_modules_exhaustive, test/test_fx_experimental.py::TestFXExperimental::test_optimize_for_inference_cpu, 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test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_sum_to_size_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_svd_lowrank_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_t_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_along_dim_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_take_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tan_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tanh_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensor_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tensordot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tile_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_to_sparse_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_topk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trace_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_transpose_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapezoid_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trapz_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triangular_solve_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_tril_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_triu_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_true_divide_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_trunc_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unbind_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unflatten_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unfold_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_uniform_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_consecutive_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unique_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_chunk_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsafe_split_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_unsqueeze_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_var_unbiased_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vdot_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_complex_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_as_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_copy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_view_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vsplit_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_vstack_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_where_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_xlogy_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zero__cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_operator_exhaustive_zeros_like_cpu_float32, test/test_fx_experimental.py::TestNormalizeOperatorsCPU::test_normalize_quantized_eb_cpu
2025-08-14T21:34:10.3734410Z 
2025-08-14T21:34:12.7530750Z Running test_file_check 1/1 ... [2025-08-14 21:34:12.752852]
2025-08-14T21:34:12.7531510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:12.7534940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_file_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:12.753230]
2025-08-14T21:34:16.3618620Z 
2025-08-14T21:34:16.3619410Z test_file_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_file_check_1.1_547fb56dc55bba83_.log
2025-08-14T21:34:16.3622670Z Running 2 items in this shard: test/test_file_check.py::TestFileCheck::test_all_python_api, test/test_file_check.py::TestFileCheck::test_not_run
2025-08-14T21:34:16.3623750Z 
2025-08-14T21:34:18.9332620Z Running torch_np/test_dtype 1/1 ... [2025-08-14 21:34:18.933086]
2025-08-14T21:34:18.9333390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:18.9338470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_dtype.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:18.933366]
2025-08-14T21:34:21.6926770Z 
2025-08-14T21:34:21.6930520Z torch_np/test_dtype 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_dtype_1.1_51b0782faa59c6a8_.log
2025-08-14T21:34:21.6952420Z Running 44 items in this shard: test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_bool, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'bool_', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex128', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'complex64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'float64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'int8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint16', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint32', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint64', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.'uint8', test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.bool_, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex128, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.complex64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.dtype('bool'), test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.float64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.int8, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint16, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint32, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint64, test/torch_np/test_dtype.py::TestConvertDType::test_convert_np_dtypes_numpy.uint8
2025-08-14T21:34:21.6961570Z 
2025-08-14T21:34:24.1606000Z Running higher_order_ops/test_with_effects 1/1 ... [2025-08-14 21:34:24.160381]
2025-08-14T21:34:24.1606360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:24.1609480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'higher_order_ops/test_with_effects.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:24.160720]
2025-08-14T21:34:26.9660410Z 
2025-08-14T21:34:26.9661230Z higher_order_ops/test_with_effects 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_with_effects_1.1_3b46dfaa99cf27fb_.log
2025-08-14T21:34:26.9671280Z Running 18 items in this shard: test/higher_order_ops/test_with_effects.py::TestWithEffects::test_alias_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_aot_eager_requires_grad, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_compile_inductor_external_op_return_none, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_op_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_aliased_outputs, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_is_output, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_mutation_return, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_effects_and_input_output_view_simple, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_buffer_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_print_with_input_mutations, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_register_effectful_custom_op, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_in_forward_and_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_regular_effectful_op_only_in_backward, test/higher_order_ops/test_with_effects.py::TestWithEffects::test_torchbind_custom_op
2025-08-14T21:34:26.9675940Z 
2025-08-14T21:34:29.5067330Z Running test_native_functions 1/1 ... [2025-08-14 21:34:29.506525]
2025-08-14T21:34:29.5068490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:29.5071280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_native_functions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:29.506802]
2025-08-14T21:34:32.2178860Z 
2025-08-14T21:34:32.2180920Z test_native_functions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_functions_1.1_f403c046cd14ff55_.log
2025-08-14T21:34:32.2194800Z Running 11 items in this shard: test/test_native_functions.py::TestNativeFunctions::test_intlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_optional_filled_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist, test/test_native_functions.py::TestNativeFunctions::test_optional_floatlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist, test/test_native_functions.py::TestNativeFunctions::test_optional_intlist_invalid, test/test_native_functions.py::TestNativeFunctions::test_string_defaults, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload, test/test_native_functions.py::TestNativeFunctions::test_symintlist_error_with_overload_but_is_unique, test/test_native_functions.py::TestNativeFunctions::test_vararg_symintlist_error
2025-08-14T21:34:32.2211930Z 
2025-08-14T21:34:34.8204030Z Running functorch/test_minifier 1/1 ... [2025-08-14 21:34:34.820153]
2025-08-14T21:34:34.8205050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:34.8209340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:34.820508]
2025-08-14T21:34:37.3938410Z 
2025-08-14T21:34:37.3939080Z functorch/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_minifier_1.1_d43f6bb1f97e2445_.log
2025-08-14T21:34:37.3942910Z Running 5 items in this shard: test/functorch/test_minifier.py::TestMinifier::test_has_add_mul, test/functorch/test_minifier.py::TestMinifier::test_has_mul_minifier, test/functorch/test_minifier.py::TestMinifier::test_input_returned, test/functorch/test_minifier.py::TestMinifier::test_module, test/functorch/test_minifier.py::TestMinifier::test_tup_use
2025-08-14T21:34:37.3944210Z 
2025-08-14T21:34:39.6865020Z Running test_flop_counter 1/1 ... [2025-08-14 21:34:39.686317]
2025-08-14T21:34:39.6865790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:39.6868470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_flop_counter.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:39.686611]
2025-08-14T21:34:42.0297580Z 
2025-08-14T21:34:42.0298280Z test_flop_counter 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_flop_counter_1.1_c4ddd3c14cea8a2f_.log
2025-08-14T21:34:42.0304190Z Running 22 items in this shard: test/test_flop_counter.py::TestFlopCounter::test_addmm_out, test/test_flop_counter.py::TestFlopCounter::test_autograd_op, test/test_flop_counter.py::TestFlopCounter::test_backward, test/test_flop_counter.py::TestFlopCounter::test_backward_reset, test/test_flop_counter.py::TestFlopCounter::test_conv_backwards_as_decomposition, test/test_flop_counter.py::TestFlopCounter::test_conv_transpose_loop, test/test_flop_counter.py::TestFlopCounter::test_convs, test/test_flop_counter.py::TestFlopCounter::test_custom, test/test_flop_counter.py::TestFlopCounter::test_custom_op, test/test_flop_counter.py::TestFlopCounter::test_flop_counter_variety, test/test_flop_counter.py::TestFlopCounter::test_hook_registration, test/test_flop_counter.py::TestFlopCounter::test_inference_mode, test/test_flop_counter.py::TestFlopCounter::test_module, test/test_flop_counter.py::TestFlopCounter::test_nested_attention_fake_tensors, test/test_flop_counter.py::TestFlopCounter::test_noop, test/test_flop_counter.py::TestFlopCounter::test_op, test/test_flop_counter.py::TestFlopCounter::test_pytrees, test/test_flop_counter.py::TestFlopCounter::test_scaled_mm, test/test_flop_counter.py::TestFlopCounter::test_sdpa, test/test_flop_counter.py::TestFlopCounter::test_sdpa_nested_tensor, test/test_flop_counter.py::TestFlopCounter::test_torchscript, test/test_flop_counter.py::TestFlopCounter::test_warning
2025-08-14T21:34:42.0307710Z 
2025-08-14T21:34:44.3388030Z Running torch_np/test_nep50_examples 1/1 ... [2025-08-14 21:34:44.338595]
2025-08-14T21:34:44.3389180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:44.3394590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_nep50_examples.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:44.339251]
2025-08-14T21:34:50.0156420Z 
2025-08-14T21:34:50.0158070Z torch_np/test_nep50_examples 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_nep50_examples_1.1_0f0c1818658590e1_.log
2025-08-14T21:34:50.0692800Z Running 1897 items in this shard: test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_3j + array(3, complex64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_True + uint8(2), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array(1_0, float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([0_1], float32) == float64(0_1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([100], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 1, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 200, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + 300, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + array(1, int64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1], uint8) + int64(1), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_0], float32) + 1e-14 == 1_0, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + 3, test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + array(1_, float64), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + float64(1_), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_array([1_], float32) + int64(3), test/torch_np/test_nep50_examples.py::TestNEP50Table::test_nep50_exceptions_example_bool_(True) + 1, 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test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array52_dtype52, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array53_dtype53, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array54_dtype54, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array55_dtype55, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array56_dtype56, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array57_dtype57, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array58_dtype58, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array59_dtype59, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array5_dtype5, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array60_dtype60, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array61_dtype61, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array62_dtype62, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array63_dtype63, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array64_dtype64, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array65_dtype65, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array66_dtype66, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array67_dtype67, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array68_dtype68, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array69_dtype69, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array6_dtype6, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array70_dtype70, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array71_dtype71, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array72_dtype72, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array73_dtype73, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array74_dtype74, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array75_dtype75, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array76_dtype76, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array77_dtype77, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array78_dtype78, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array79_dtype79, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array7_dtype7, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array80_dtype80, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array81_dtype81, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array82_dtype82, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array83_dtype83, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array84_dtype84, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array85_dtype85, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array86_dtype86, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array87_dtype87, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array88_dtype88, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array89_dtype89, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array8_dtype8, test/torch_np/test_nep50_examples.py::TestCompareToNumpy::test_direct_compare_scalar_True_array9_dtype9
2025-08-14T21:34:50.1265740Z 
2025-08-14T21:34:52.4274890Z Running higher_order_ops/test_invoke_quant 1/1 ... [2025-08-14 21:34:52.427318]
2025-08-14T21:34:52.4276010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:34:52.4278480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'higher_order_ops/test_invoke_quant.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:34:52.427589]
2025-08-14T21:34:59.0022830Z 
2025-08-14T21:34:59.0024390Z higher_order_ops/test_invoke_quant 1/1 was successful, full logs can be found in artifacts with path test/test-reports/higher_order_ops.test_invoke_quant_1.1_91e969b8f4b6ad3d_.log
2025-08-14T21:34:59.0034500Z Running 14 items in this shard: test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantEager::test_simple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantAotEager::test_simple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_construct_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_inline, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_multiple, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_pattern_matching, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_prologue, test/higher_order_ops/test_invoke_quant.py::TestInvokeQuantInductor::test_simple
2025-08-14T21:34:59.0043700Z 
2025-08-14T21:35:01.4360600Z Running test_per_overload_api 1/1 ... [2025-08-14 21:35:01.435876]
2025-08-14T21:35:01.4361370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:01.4363510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_per_overload_api.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:01.436163]
2025-08-14T21:35:03.9253240Z 
2025-08-14T21:35:03.9254650Z test_per_overload_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_per_overload_api_1.1_075b29348d1cb206_.log
2025-08-14T21:35:03.9257610Z Running 3 items in this shard: test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverload, test/test_per_overload_api.py::TestPerOverloadAPI::test_basics_opoverloadpacket, test/test_per_overload_api.py::TestPerOverloadAPI::test_decompose
2025-08-14T21:35:03.9259500Z 
2025-08-14T21:35:06.4106560Z Running test_tensorexpr_pybind 1/1 ... [2025-08-14 21:35:06.410441]
2025-08-14T21:35:06.4107930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:06.4110960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensorexpr_pybind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:06.410884]
2025-08-14T21:35:08.8294630Z 
2025-08-14T21:35:08.8295640Z test_tensorexpr_pybind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_pybind_1.1_5e8e375497f848ba_.log
2025-08-14T21:35:08.8301220Z Running 17 items in this shard: test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_alloc_in_loop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_call_raw, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dtype_error, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_dynamic_shape_2d, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_external_calls, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_shape_prop_module, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_custom_lowering, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_expand, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_permute, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_scalar_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_t, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_tensor_inputs, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_kernel_with_transpose, test/test_tensorexpr_pybind.py::TestTensorExprPyBind::test_simple_sum, test/test_tensorexpr_pybind.py::TestExprHandlePyBind::test_unary_ops
2025-08-14T21:35:08.8305070Z 
2025-08-14T21:35:11.1376660Z Running test_pytree 1/1 ... [2025-08-14 21:35:11.137501]
2025-08-14T21:35:11.1377980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:11.1379980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_pytree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:11.137787]
2025-08-14T21:35:14.6707450Z 
2025-08-14T21:35:14.6708090Z test_pytree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pytree_1.1_2a74b3284e766711_.log
2025-08-14T21:35:14.6731000Z Running 98 items in this shard: test/test_pytree.py::TestGenericPytree::test_aligned_public_apis, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_cxx, test/test_pytree.py::TestGenericPytree::test_broadcast_to_and_flatten_py, test/test_pytree.py::TestGenericPytree::test_enum_treespec_roundtrip_cxx, test/test_pytree.py::TestGenericPytree::test_enum_treespec_roundtrip_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_defaultdict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_deque_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_dict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_leaf_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_list_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_namedtuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_nested_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_ordereddict_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_max_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_return_types_min_py, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_unflatten_tuple_py, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_cxx, test/test_pytree.py::TestGenericPytree::test_flatten_with_is_leaf_py, test/test_pytree.py::TestGenericPytree::test_is_namedtuple_cxx, test/test_pytree.py::TestGenericPytree::test_is_namedtuple_py, test/test_pytree.py::TestGenericPytree::test_is_structseq_cxx, test/test_pytree.py::TestGenericPytree::test_is_structseq_py, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_cxx, test/test_pytree.py::TestGenericPytree::test_pytree_serialize_bad_input_py, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_cxx, test/test_pytree.py::TestGenericPytree::test_register_pytree_node_py, test/test_pytree.py::TestGenericPytree::test_tree_all_any_cxx, test/test_pytree.py::TestGenericPytree::test_tree_all_any_py, test/test_pytree.py::TestGenericPytree::test_tree_map_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_multi_inputs_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_cxx, test/test_pytree.py::TestGenericPytree::test_tree_map_only_predicate_fn_py, test/test_pytree.py::TestGenericPytree::test_tree_map_only_py, test/test_pytree.py::TestGenericPytree::test_tree_map_py, test/test_pytree.py::TestPythonPytree::test_constant, test/test_pytree.py::TestPythonPytree::test_constant_default_eq_error, test/test_pytree.py::TestPythonPytree::test_constant_default_hash_error, test/test_pytree.py::TestPythonPytree::test_dataclass, test/test_pytree.py::TestPythonPytree::test_deprecated_register_pytree_node, test/test_pytree.py::TestPythonPytree::test_flatten_flatten_with_key_consistency, test/test_pytree.py::TestPythonPytree::test_import_pytree_doesnt_import_optree, test/test_pytree.py::TestPythonPytree::test_key_access, test/test_pytree.py::TestPythonPytree::test_key_str, test/test_pytree.py::TestPythonPytree::test_pytree_context_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestPythonPytree::test_pytree_custom_type_serialize_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_bad_protocol, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_defaultdict_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_enum, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_namedtuple_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_register_bad, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestPythonPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestPythonPytree::test_register_dataclass_class, test/test_pytree.py::TestPythonPytree::test_saved_serialized, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_is_leaf, test/test_pytree.py::TestPythonPytree::test_tree_flatten_with_path_roundtrip, test/test_pytree.py::TestPythonPytree::test_tree_leaves_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path, test/test_pytree.py::TestPythonPytree::test_tree_map_with_path_multiple_trees, test/test_pytree.py::TestPythonPytree::test_treespec_equality, test/test_pytree.py::TestPythonPytree::test_treespec_repr, test/test_pytree.py::TestCxxPytree::test_pytree_custom_type_serialize, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_namedtuple, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec0, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec1, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec2, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec3, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec4, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec5, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec6, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec7, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec8, test/test_pytree.py::TestCxxPytree::test_pytree_serialize_spec9, test/test_pytree.py::TestCxxPytree::test_treespec_equality, test/test_pytree.py::TestCxxPytree::test_treespec_repr
2025-08-14T21:35:14.6748990Z 
2025-08-14T21:35:17.0339400Z Running test_fx_passes 1/1 ... [2025-08-14 21:35:17.033782]
2025-08-14T21:35:17.0340400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:17.0342700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:17.034068]
2025-08-14T21:35:19.5668760Z 
2025-08-14T21:35:19.5669270Z test_fx_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_passes_1.1_c7683c2ed4a39895_.log
2025-08-14T21:35:19.5684460Z Running 53 items in this shard: test/test_fx_passes.py::TestFXGraphPasses::test_fuser_pass_deep_model, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition10, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition11, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition4, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition5, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition6, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition7, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition8, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_partition9, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition0, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition1, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition2, test/test_fx_passes.py::TestFXGraphPasses::test_fuser_util_xfail_partition3, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn0_expected_partition0_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn10_expected_partition10_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn11_expected_partition11_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn12_expected_partition12_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn13_expected_partition13_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn14_expected_partition14_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn15_expected_partition15_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn16_expected_partition16_bookend_non_compute_pass_True, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn17_expected_partition17_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn18_expected_partition18_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn1_expected_partition1_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn2_expected_partition2_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn3_expected_partition3_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn4_expected_partition4_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn5_expected_partition5_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn6_expected_partition6_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn7_expected_partition7_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn8_expected_partition8_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_fn9_expected_partition9_bookend_non_compute_pass_False, test/test_fx_passes.py::TestFXGraphPasses::test_partitioner_independent_output_fn0_expected_partition0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model0, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model1, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model10, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model11, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model12, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model13, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model14, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model15, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model2, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model3, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model4, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model5, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model6, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model7, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model8, test/test_fx_passes.py::TestFXMatcherUtils::test_subgraph_matcher_test_model9
2025-08-14T21:35:19.5702020Z 
2025-08-14T21:35:21.8309210Z Running test_module_tracker 1/1 ... [2025-08-14 21:35:21.830733]
2025-08-14T21:35:21.8310180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:21.8312310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_module_tracker.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:21.831023]
2025-08-14T21:35:24.1030640Z 
2025-08-14T21:35:24.1031760Z test_module_tracker 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_module_tracker_1.1_fa64011a089b687f_.log
2025-08-14T21:35:24.1034780Z Running 3 items in this shard: test/test_module_tracker.py::TestModuleTracker::test_bw_detection, test/test_module_tracker.py::TestModuleTracker::test_confused_hierarchy, test/test_module_tracker.py::TestModuleTracker::test_module_hierarchy
2025-08-14T21:35:24.1035450Z 
2025-08-14T21:35:26.3916050Z Running test_typing 1/1 ... [2025-08-14 21:35:26.391383]
2025-08-14T21:35:26.3916770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:26.3918020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_typing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:26.391692]
2025-08-14T21:35:28.5793910Z 
2025-08-14T21:35:28.5794410Z test_typing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_typing_1.1_d1c01b938343b29c_.log
2025-08-14T21:35:28.5798540Z Running 18 items in this shard: test/test_typing.py::TestTyping::test_fail_arithmetic_ops.py, test/test_typing.py::TestTyping::test_fail_creation_ops.py, test/test_typing.py::TestTyping::test_fail_random.py, test/test_typing.py::TestTyping::test_fail_torch_size.py, test/test_typing.py::TestTyping::test_reveal_module_list.py, test/test_typing.py::TestTyping::test_reveal_namedtuple.py, test/test_typing.py::TestTyping::test_reveal_opt_size.py, test/test_typing.py::TestTyping::test_reveal_size.py, test/test_typing.py::TestTyping::test_reveal_tensor_constructors.py, test/test_typing.py::TestTyping::test_reveal_tensor_copy.py, test/test_typing.py::TestTyping::test_reveal_tensor_sampling.py, test/test_typing.py::TestTyping::test_reveal_torch_optim.py, test/test_typing.py::TestTyping::test_success_arithmetic_ops.py, test/test_typing.py::TestTyping::test_success_creation_ops.py, test/test_typing.py::TestTyping::test_success_cuda_steam.py, test/test_typing.py::TestTyping::test_success_distributions.py, test/test_typing.py::TestTyping::test_success_math_ops.py, test/test_typing.py::TestTyping::test_success_torch_size.py
2025-08-14T21:35:30.9878170Z 
2025-08-14T21:35:30.9878900Z Running test_openmp 1/1 ... [2025-08-14 21:35:30.987714]
2025-08-14T21:35:30.9879590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:30.9882150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:30.988021]
2025-08-14T21:35:36.9072440Z 
2025-08-14T21:35:36.9073520Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_0295842c3b1d035d_.log
2025-08-14T21:35:36.9075270Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-08-14T21:35:36.9076020Z 
2025-08-14T21:35:39.4929160Z Running torch_np/numpy_tests/core/test_scalarinherit 1/1 ... [2025-08-14 21:35:39.492570]
2025-08-14T21:35:39.4937090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:39.4939620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarinherit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:39.493265]
2025-08-14T21:35:41.8389460Z 
2025-08-14T21:35:41.8390280Z torch_np/numpy_tests/core/test_scalarinherit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarinherit_1.1_a57def0e5a189464_.log
2025-08-14T21:35:41.8394170Z Running 3 items in this shard: test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_gh_15395, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init, test/torch_np/numpy_tests/core/test_scalarinherit.py::TestInherit::test_init2
2025-08-14T21:35:41.8396150Z 
2025-08-14T21:35:44.2257050Z Running functorch/test_ac_knapsack 1/1 ... [2025-08-14 21:35:44.225476]
2025-08-14T21:35:44.2258020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:44.2261190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:44.225834]
2025-08-14T21:35:46.7496930Z 
2025-08-14T21:35:46.7498090Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_fa58386c134eac23_.log
2025-08-14T21:35:46.7503310Z Running 15 items in this shard: test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_full_joint_nx_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_memory_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_runtime_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_non_ac_peak_memory, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_theoretical_max_runtime, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_inialize_from_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph_with_larger_graph_context, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_simplified_fx_joint_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_distribution_of_results_for_knapsack_algo, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_not_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_with_wrong_sized_values, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_backward_memory_from_topologically_sorted_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_knee_point_memory_budget
2025-08-14T21:35:46.7507600Z 
2025-08-14T21:35:49.2386070Z Running backends/xeon/test_launch 1/1 ... [2025-08-14 21:35:49.238400]
2025-08-14T21:35:49.2386890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:49.2389420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'backends/xeon/test_launch.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:49.238735]
2025-08-14T21:35:51.5968280Z 
2025-08-14T21:35:51.5970220Z backends/xeon/test_launch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/backends.xeon.test_launch_1.1_6ebc7dabb5876347_.log
2025-08-14T21:35:51.5972780Z Running 2 items in this shard: test/backends/xeon/test_launch.py::TestTorchrun::test_cpu_info, test/backends/xeon/test_launch.py::TestTorchrun::test_multi_threads
2025-08-14T21:35:51.5974000Z 
2025-08-14T21:35:54.0546760Z Running test_nestedtensor 1/2 ... [2025-08-14 21:35:54.054483]
2025-08-14T21:35:54.0547530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:35:54.0550050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:35:54.054808]
2025-08-14T21:38:35.6989380Z 
2025-08-14T21:38:35.6990250Z test_transformers 2/2 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_2.2_d2818edbf4c6acc1_.log
2025-08-14T21:38:35.7927110Z Running 1600 items in this shard: test/test_transformers.py::TestTransformersCPU::test_decoder_padding_and_src_mask_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_disable_fastpath_cpu, test/test_transformers.py::TestTransformersCPU::test_encoder_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_math_backend_high_precision_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_1_bias_True_cpu, test/test_transformers.py::TestTransformersCPU::test_mha_native_args_nb_heads_8_bias_False_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim2_key_padding_mask_dim_2_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_bool_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_2_key_padding_mask_dim1_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_multiheadattention_fastpath_attn_mask_attn_mask_dim_3_key_padding_mask_dim_2_float32_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_2D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_3D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_3D_input_dim_no_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_2D_causal_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_4D_causal_attn_mask_dropout_p_0_2_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_0_cpu, test/test_transformers.py::TestTransformersCPU::test_scaled_dot_product_attention_4D_input_dim_no_attn_mask_dropout_p_0_5_cpu, test/test_transformers.py::TestTransformersCPU::test_script_encoder_subclass_cpu, test/test_transformers.py::TestTransformersCPU::test_train_with_is_causal_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_False_enable_nested_tensor_True_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_batch_first_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_False_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_12_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_fastpath_use_torchscript_False_enable_nested_tensor_True_use_autocast_True_d_model_256_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_False_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_False_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoder_square_input_with_no_grad_True_training_True_enable_nested_tensor_False_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_3_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_no_fastpath_with_hooks_nhead_4_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_1_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_src_mask_nhead_8_cpu, test/test_transformers.py::TestTransformersCPU::test_transformerencoderlayer_subclass_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_dispatch_fails_no_backend_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_bfloat16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_autocast_fp32_float16_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_193_dropout_p_0_2_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_flash_backward_failure_sm86plus_head_dim_256_dropout_p_0_0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_fused_inputs_head_dim_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_1_dimensional_inputs_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_datatypes_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_inputs_different_devices_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_invalid_sdpa_kernel_grouped_query_attention_cuda_fused_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mask_invalid_last_dim_stride_kernel0_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mask_invalid_last_dim_stride_kernel1_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_fail_with_batch_size_geq_65536_cpu, test/test_transformers.py::TestSDPAFailureModesCPU::test_mem_eff_attention_large_seq_len_uniform_attention_cpu, test/test_transformers.py::TestSDPACPU::test_scaled_dot_product_attention_math_with_negative_scale_kernel0_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_False_cpu, test/test_transformers.py::TestSDPACPU::test_sdp_math_gradcheck_contiguous_inputs_True_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_cpu_flash_attn_nan_propagation_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_32_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend0_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_128_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_32_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_16_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fully_masked_out_rows_backend1_seq_len_64_head_dim_32_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_0_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_bfloat16_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_dense_dropout_0_7_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float32_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_0_float64_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_fused_sdp_choice_cpu_type_nested_dropout_0_7_float16_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_non_masked_rows_nan_props_float16_fill_val_inf_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads0_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads1_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads2_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads2_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads3_train_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_bfloat16_n_heads3_train_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads2_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads3_train_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float16_n_heads3_train_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads0_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads1_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads1_train_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float32_n_heads3_train_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads0_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads0_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads1_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads2_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads2_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads3_train_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_gqa_vs_math_cpu_fused_kernel0_float64_n_heads3_train_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_bfloat16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_bfloat16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float16_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float16, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float32_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float32, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_12_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_1030_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_11_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_17_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_1_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_2_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_False_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_False_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_False_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_False_casual_False_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_False_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_scaled_dot_product_fused_attention_mask_vs_math_cpu_fused_kernel0_float64_batch_size_2_q_seq_len_514_kv_seq_len_514_n_head_3_head_dim_8_mask_dim_4_bool_mask_True_train_True_casual_True_set_attn_mask_True_cpu_float64, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_backward_with_gradient_cpu, test/test_transformers.py::TestSDPACpuOnlyCPU::test_sdpa_with_inf_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_causal_variant_2_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_1_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape2_cpu, test/test_transformers.py::TestAttnBiasCPU::test_causal_variants_compile_causal_variant_2_shape3_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape0_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape1_cpu, test/test_transformers.py::TestAttnBiasCPU::test_is_causal_equals_upper_left_shape2_cpu
2025-08-14T21:38:35.8832210Z 
2025-08-14T21:38:36.1283320Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-08-14T21:38:36.1283670Z Uploading artifacts took 0.00 seconds
2025-08-14T21:38:37.8971710Z Running test_namedtensor 1/1 ... [2025-08-14 21:38:37.896961]
2025-08-14T21:38:37.8972480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:38:37.8974990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:37.897268]
2025-08-14T21:38:40.3711540Z 
2025-08-14T21:38:40.3712560Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_b19b6a4c92503de4_.log
2025-08-14T21:38:40.3727960Z Running 88 items in this shard: test/test_namedtensor.py::TestNamedTensor::test_aaa_must_run_first_check_experimental_warning, test/test_namedtensor.py::TestNamedTensor::test_addcmul_addcdiv, test/test_namedtensor.py::TestNamedTensor::test_addmm, test/test_namedtensor.py::TestNamedTensor::test_addmv, test/test_namedtensor.py::TestNamedTensor::test_align_as, test/test_namedtensor.py::TestNamedTensor::test_align_tensors, test/test_namedtensor.py::TestNamedTensor::test_align_tensors_two_inputs, test/test_namedtensor.py::TestNamedTensor::test_align_to, test/test_namedtensor.py::TestNamedTensor::test_align_to_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_any_all, test/test_namedtensor.py::TestNamedTensor::test_as_strided, test/test_namedtensor.py::TestNamedTensor::test_as_strided_cuda, test/test_namedtensor.py::TestNamedTensor::test_autograd_ignores_names, test/test_namedtensor.py::TestNamedTensor::test_autograd_smoke, test/test_namedtensor.py::TestNamedTensor::test_autograd_warns_named_grad, test/test_namedtensor.py::TestNamedTensor::test_bernoulli, test/test_namedtensor.py::TestNamedTensor::test_big_tensor_repr_has_names, test/test_namedtensor.py::TestNamedTensor::test_binary_ops, test/test_namedtensor.py::TestNamedTensor::test_bitwise_not, test/test_namedtensor.py::TestNamedTensor::test_bmm, test/test_namedtensor.py::TestNamedTensor::test_cat, test/test_namedtensor.py::TestNamedTensor::test_cdist, test/test_namedtensor.py::TestNamedTensor::test_comparison_ops, test/test_namedtensor.py::TestNamedTensor::test_copy_transpose, test/test_namedtensor.py::TestNamedTensor::test_cummax_cummin, test/test_namedtensor.py::TestNamedTensor::test_detach, test/test_namedtensor.py::TestNamedTensor::test_diagonal, test/test_namedtensor.py::TestNamedTensor::test_dot, test/test_namedtensor.py::TestNamedTensor::test_equal, test/test_namedtensor.py::TestNamedTensor::test_expand, test/test_namedtensor.py::TestNamedTensor::test_factory_coverage, test/test_namedtensor.py::TestNamedTensor::test_factory_edge_cases, test/test_namedtensor.py::TestNamedTensor::test_flatten, test/test_namedtensor.py::TestNamedTensor::test_flatten_index_error, test/test_namedtensor.py::TestNamedTensor::test_flatten_nodims, test/test_namedtensor.py::TestNamedTensor::test_has_names, test/test_namedtensor.py::TestNamedTensor::test_index_fill, test/test_namedtensor.py::TestNamedTensor::test_info_smoke, test/test_namedtensor.py::TestNamedTensor::test_logcumsumexp, test/test_namedtensor.py::TestNamedTensor::test_logical_not, test/test_namedtensor.py::TestNamedTensor::test_logical_ops, test/test_namedtensor.py::TestNamedTensor::test_masked_fill, test/test_namedtensor.py::TestNamedTensor::test_masked_select, test/test_namedtensor.py::TestNamedTensor::test_matmul, test/test_namedtensor.py::TestNamedTensor::test_max_pooling, test/test_namedtensor.py::TestNamedTensor::test_max_pooling_without_names_does_not_warn, test/test_namedtensor.py::TestNamedTensor::test_mm, test/test_namedtensor.py::TestNamedTensor::test_mv, test/test_namedtensor.py::TestNamedTensor::test_no_jit_script_support, test/test_namedtensor.py::TestNamedTensor::test_no_jit_tracer_support, test/test_namedtensor.py::TestNamedTensor::test_no_multiprocessing_support, test/test_namedtensor.py::TestNamedTensor::test_no_pickle_support, test/test_namedtensor.py::TestNamedTensor::test_no_save_support, test/test_namedtensor.py::TestNamedTensor::test_noncontig_contiguous, test/test_namedtensor.py::TestNamedTensor::test_none_names_refcount, test/test_namedtensor.py::TestNamedTensor::test_nyi_dimname_overload_msg, test/test_namedtensor.py::TestNamedTensor::test_out_fn_semantics, test/test_namedtensor.py::TestNamedTensor::test_pow_special, test/test_namedtensor.py::TestNamedTensor::test_py3_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_reduction_fns, test/test_namedtensor.py::TestNamedTensor::test_refine_names, test/test_namedtensor.py::TestNamedTensor::test_rename, test/test_namedtensor.py::TestNamedTensor::test_rename_, test/test_namedtensor.py::TestNamedTensor::test_rename_globber, test/test_namedtensor.py::TestNamedTensor::test_rename_rename_map, test/test_namedtensor.py::TestNamedTensor::test_repr, test/test_namedtensor.py::TestNamedTensor::test_resize, test/test_namedtensor.py::TestNamedTensor::test_select, test/test_namedtensor.py::TestNamedTensor::test_select_cuda, test/test_namedtensor.py::TestNamedTensor::test_set_names_property, test/test_namedtensor.py::TestNamedTensor::test_size, test/test_namedtensor.py::TestNamedTensor::test_split_fns_propagates_names, test/test_namedtensor.py::TestNamedTensor::test_squeeze, test/test_namedtensor.py::TestNamedTensor::test_stride, test/test_namedtensor.py::TestNamedTensor::test_support_device_named_grad, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_lists, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_named_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_numpy, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_grad_is_unnamed, test/test_namedtensor.py::TestNamedTensor::test_transpose_variants, test/test_namedtensor.py::TestNamedTensor::test_trivial, test/test_namedtensor.py::TestNamedTensor::test_unary_propagate_names_fns, test/test_namedtensor.py::TestNamedTensor::test_unflatten, test/test_namedtensor.py::TestNamedTensor::test_unsupported_op_error_msg, test/test_namedtensor.py::TestNamedTensor::test_using_seen_interned_string_doesnt_bump_refcount, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_interned_string_bumps_refcount_permanently, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_uninterned_string_refcounts
2025-08-14T21:38:40.3741930Z 
2025-08-14T21:38:42.5869050Z Running torch_np/test_ufuncs_basic 1/1 ... [2025-08-14 21:38:42.586689]
2025-08-14T21:38:42.5869910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:38:42.5872420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/test_ufuncs_basic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:42.586976]
2025-08-14T21:38:45.4063320Z 
2025-08-14T21:38:45.4064410Z torch_np/test_ufuncs_basic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_ufuncs_basic_1.1_4205dc4f56f4e09c_.log
2025-08-14T21:38:45.4165140Z Running 371 items in this shard: test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_equiv_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_no_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_safe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_same_kind_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_casting_casting_unsafe_ufunc0_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_dtype_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_broadcast_ufunc0, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_equiv_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_no_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_safe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestUnaryUfuncs::test_x_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc15, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc16, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc2, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc3, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc4, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc5, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc6, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc7, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc8, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_scalar_ufunc9, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc0, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc1, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc10, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc11, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc12, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc13, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc14, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_vector_vs_scalar_ufunc15, 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test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_safe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_same_kind_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc0_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc10_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc11_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc12_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc13_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc14_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc15_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc16_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc1_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc2_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc3_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc4_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc5_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc6_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc7_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc8_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_complex128, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float32, test/torch_np/test_ufuncs_basic.py::TestBinaryUfuncs::test_xy_and_out_casting_casting_unsafe_ufunc9_out_dtype_float64, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_basic_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc0_op0_iop0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc1_op1_iop1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_bcast_ufunc2_op2_iop2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc0_op0_iop0_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype1, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype2, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc1_op1_iop1_other_dtype3, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype0, test/torch_np/test_ufuncs_basic.py::TestNdarrayDunderVsUfunc::test_other_array_ufunc2_op2_iop2_other_dtype1, 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2025-08-14T21:38:45.4262140Z 
2025-08-14T21:38:47.5898910Z Running test_meta 1/2 ... [2025-08-14 21:38:47.589699]
2025-08-14T21:38:47.5899610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:38:47.5902050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_meta.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:38:47.589987]
2025-08-14T21:39:33.7667160Z 
2025-08-14T21:39:33.7667670Z PRINTING LOG FILE of test_quantization 1/1 (test/test-reports/test_quantization_1.1_638384512e64b4d9_.log)
2025-08-14T21:39:33.7668420Z cannot import name 'TestBitsCUDA' from 'quantization.core.experimental.test_bits' (/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/experimental/test_bits.py)
2025-08-14T21:39:33.7669390Z cannot import name 'TestFloat8DtypeCUDA' from 'quantization.core.experimental.test_floatx' (/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/experimental/test_floatx.py)
2025-08-14T21:39:33.7670170Z Test results will be stored in test-reports/python-pytest/test_quantization/test_quantization-6f4bc8a1035de921.xml
2025-08-14T21:39:33.7670610Z ============================= test session starts ==============================
2025-08-14T21:39:33.7671100Z platform darwin -- Python 3.12.11, pytest-7.3.2, pluggy-1.6.0 -- /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python
2025-08-14T21:39:33.7671510Z cachedir: .pytest_cache
2025-08-14T21:39:33.7671950Z hypothesis profile 'pytorch_ci' -> database=None, deadline=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-08-14T21:39:33.7672450Z rootdir: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-14T21:39:33.7672680Z configfile: pytest.ini
2025-08-14T21:39:33.7673090Z plugins: xdoctest-1.1.0, cpp-2.3.0, rerunfailures-10.3, flakefinder-1.1.0, hypothesis-6.56.4, xdist-3.3.1, subtests-0.13.1, typeguard-4.3.0
2025-08-14T21:39:33.7673530Z collecting ... collected 1338 items
2025-08-14T21:39:33.7673770Z stepcurrent: Cannot find last run test, not skipping
2025-08-14T21:39:33.7935090Z Running 1338 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_advanced_indexing, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_custom_module_lstm, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_empty_batch, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_group_norm, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_hardtanh, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_mul_onednn, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qcelu, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qelu, test/test_quantization.py::TestQuantizedOps::test_qgelu, test/test_quantization.py::TestQuantizedOps::test_qhardsigmoid, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qmul_broadcast, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qrelu6, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_qtanh, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQuantizedOps::test_std, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQNNPackOps::test_mean, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_mul, test/test_quantization.py::TestQNNPackOps::test_qnnpack_relu, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQNNPackOps::test_qnnpack_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn, test/test_quantization.py::TestQuantizedLinear::test_qlinear_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv3d, test/test_quantization.py::TestQuantizedConv::test_qconv3d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy, test/test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestPadding::test_reflection_pad2d, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, 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test/test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_tensor, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_bfp16_quantize, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_clone, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input, test/test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu, test/test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda, test/test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op, test/test_quantization.py::TestQuantizedTensor::test_jit_serialization, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda, test/test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_per_channel_to_device, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format, test/test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device, test/test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor, test/test_quantization.py::TestQuantizedTensor::test_qscheme_pickle, test/test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_copy, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_creation, test/test_quantization.py::TestQuantizedTensor::test_qtensor_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes, test/test_quantization.py::TestQuantizedTensor::test_qtensor_equal, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor, test/test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc, test/test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr, test/test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure, test/test_quantization.py::TestQuantizedTensor::test_qtensor_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu, test/test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save, test/test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_permute, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant, test/test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel, test/test_quantization.py::TestQuantizedTensor::test_qtensor_reshape, test/test_quantization.py::TestQuantizedTensor::test_qtensor_resize, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols, test/test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze, test/test_quantization.py::TestQuantizedTensor::test_qtensor_view, test/test_quantization.py::TestQuantizedTensor::test_quant_pin_memory, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams, test/test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte, test/test_quantization.py::TestQuantizedTensor::test_repeat, test/test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy, test/test_quantization.py::TestFakeQuantize::test_fq_module_per_channel, test/test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel, test/test_quantization.py::TestFakeQuantize::test_quant_min_max_override, test/test_quantization.py::TestObserver::test_dynamic_quant_observer, test/test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams, test/test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape, test/test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value, test/test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity, test/test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity, test/test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict, test/test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity, test/test_quantization.py::TestObserver::test_observer_scriptable, test/test_quantization.py::TestObserver::test_per_channel_observers, test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_per_tensor_observers, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestDynamicQuantizedModule::test_linear_api, test/test_quantization.py::TestDynamicQuantizedModule::test_lstm_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestRecordHistogramObserver::test_record_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_qat_data_parallel, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module, test/test_quantization.py::TestBackendConfig::test_backend_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_config_set_name, test/test_quantization.py::TestBackendConfig::test_backend_config_to_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict, test/test_quantization.py::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestBackendConfig::test_dtype_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_manual, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, test/test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor, test/test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, 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test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_pattern_match_constant, test/test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_mode, test/test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy, test/test_quantization.py::TestQuantizeFx::test_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_preserve_qconfig, test/test_quantization.py::TestQuantizeFx::test_preserve_tuple, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args, test/test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_list_args, 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test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex, test/test_quantization.py::TestQuantizeFx::test_qconfig_module_type, test/test_quantization.py::TestQuantizeFx::test_qconfig_none, test/test_quantization.py::TestQuantizeFx::test_qconfig_precedence, test/test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type, test/test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config, test/test_quantization.py::TestQuantizeFx::test_qparams_buffers, test/test_quantization.py::TestQuantizeFx::test_qparams_fqn, test/test_quantization.py::TestQuantizeFx::test_quant_output_always_observed, test/test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_quantized_model_type, test/test_quantization.py::TestQuantizeFx::test_ref_conv_module, test/test_quantization.py::TestQuantizeFx::test_ref_linear_module, test/test_quantization.py::TestQuantizeFx::test_register_patterns, test/test_quantization.py::TestQuantizeFx::test_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_remove_qconfig, test/test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns, 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test/test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams, test/test_quantization.py::TestQuantizeFx::test_sub_scalar, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor, test/test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_view_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFxOps::test_add, test/test_quantization.py::TestQuantizeFxOps::test_add_relu, test/test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu, test/test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg, test/test_quantization.py::TestQuantizeFxOps::test_bmm, test/test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference, test/test_quantization.py::TestQuantizeFxOps::test_boolean_tensor, test/test_quantization.py::TestQuantizeFxOps::test_cat, test/test_quantization.py::TestQuantizeFxOps::test_chunk, test/test_quantization.py::TestQuantizeFxOps::test_clamp, test/test_quantization.py::TestQuantizeFxOps::test_conv_module, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeFxOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input, test/test_quantization.py::TestQuantizeFxOps::test_div, test/test_quantization.py::TestQuantizeFxOps::test_elu, 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test/test_quantization.py::TestQuantizeFxOps::test_hardswish, test/test_quantization.py::TestQuantizeFxOps::test_instance_norm, test/test_quantization.py::TestQuantizeFxOps::test_int8_input_no_unnecessary_fq, test/test_quantization.py::TestQuantizeFxOps::test_layer_norm, test/test_quantization.py::TestQuantizeFxOps::test_leaky_relu, test/test_quantization.py::TestQuantizeFxOps::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeFxOps::test_linear_module, test/test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16, test/test_quantization.py::TestQuantizeFxOps::test_mish_reference, test/test_quantization.py::TestQuantizeFxOps::test_mul, test/test_quantization.py::TestQuantizeFxOps::test_mul_relu, test/test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value, test/test_quantization.py::TestQuantizeFxOps::test_narrow, test/test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle, test/test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module, test/test_quantization.py::TestQuantizeFxOps::test_prelu, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu, test/test_quantization.py::TestQuantizeFxOps::test_qmatmul, test/test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat, test/test_quantization.py::TestQuantizeFxOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat, test/test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use, test/test_quantization.py::TestQuantizeFxOps::test_reshape_fp16, test/test_quantization.py::TestQuantizeFxOps::test_rnn, test/test_quantization.py::TestQuantizeFxOps::test_rnn_cell, test/test_quantization.py::TestQuantizeFxOps::test_silu_reference, test/test_quantization.py::TestQuantizeFxOps::test_softmax_normal, test/test_quantization.py::TestQuantizeFxOps::test_softmax_reference, test/test_quantization.py::TestQuantizeFxOps::test_sub, test/test_quantization.py::TestQuantizeFxOps::test_sum, test/test_quantization.py::TestQuantizeFxModels::test_model_dropout, test/test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert, test/test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear, test/test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear, test/test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear, test/test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp, test/test_quantization.py::TestQuantizeFxModels::test_resnet_base, test/test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic, 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test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestGraphUtils::test_conv_bn_relu, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig, test/test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq, test/test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq, test/test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq, test/test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting, test/test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops, test/test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting, test/test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id, test/test_quantization.py::TestNumericDebugger::test_control_flow, test/test_quantization.py::TestNumericDebugger::test_copy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers, test/test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output, test/test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison, test/test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes, test/test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id, test/test_quantization.py::TestNumericDebugger::test_simple, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval, test/test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent, test/test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw, test/test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata, test/test_quantization.py::TestQuantizePT2E::test_conv_padding_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec, test/test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel, test/test_quantization.py::TestQuantizePT2E::test_disallow_eval_train, test/test_quantization.py::TestQuantizePT2E::test_dont_fold_other_constant, test/test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization, test/test_quantization.py::TestQuantizePT2E::test_embedding_quantizer, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_model_is_exported, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback, test/test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16, test/test_quantization.py::TestQuantizePT2E::test_reentrant, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2, test/test_quantization.py::TestQuantizePT2E::test_simple_quantizer, test/test_quantization.py::TestQuantizePT2E::test_speed, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_add_relu, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestPT2ERepresentation::test_dynamic_linear, test/test_quantization.py::TestPT2ERepresentation::test_maxpool2d, test/test_quantization.py::TestPT2ERepresentation::test_qdq, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight, test/test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv, test/test_quantization.py::TestXNNPACKQuantizer::test_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_gru, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_relu, test/test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul, test/test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max, test/test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops, test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_fun, test/test_quantization.py::TestFXGraphMatcher::test_simple_fusion, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential, test/test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxModelReportClass::test_generate_report, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, test/test_quantization.py::TestSerialization::test_conv2d_graph, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_relu, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_default_qat_qconfig, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestSerialization::test_per_channel_observer, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_conv_trace, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_instance_norm, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_linear, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_cat, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_functional_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_dynamic_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_conv_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx, test/test_quantization.py::TestBitsCPU::test_cat_cpu, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestBitsCPU::test_types_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu
2025-08-14T21:39:33.8189920Z 
2025-08-14T21:39:33.8190370Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool <- test/quantization/core/test_quantized_op.py SKIPPED [0.0003s] (not currently working and feature isn't used) [  0%]
2025-08-14T21:39:33.8191170Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.0242s] [  0%]
2025-08-14T21:39:33.8191850Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc <- test/quantization/core/test_quantized_op.py PASSED [0.0238s] [  0%]
2025-08-14T21:39:33.8192580Z test_quantization.py::TestQuantizedOps::test_add_scalar_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (skipping macos test) [  0%]
2025-08-14T21:39:33.8193280Z test_quantization.py::TestQuantizedOps::test_advanced_indexing <- test/quantization/core/test_quantized_op.py PASSED [0.0019s] [  0%]
2025-08-14T21:39:33.8193920Z test_quantization.py::TestQuantizedOps::test_avg_pool2d <- test/quantization/core/test_quantized_op.py PASSED [0.2335s] [  0%]
2025-08-14T21:39:33.8194550Z test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.5166s] [  0%]
2025-08-14T21:39:33.8195380Z test_quantization.py::TestQuantizedOps::test_avg_pool3d <- test/quantization/core/test_quantized_op.py PASSED [1.5179s] [  0%]
2025-08-14T21:39:33.8196000Z test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [1.2308s] [  0%]
2025-08-14T21:39:33.8196980Z test_quantization.py::TestQuantizedOps::test_batch_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0020s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  0%]
2025-08-14T21:39:33.8198220Z test_quantization.py::TestQuantizedOps::test_batch_norm_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0049s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  0%]
2025-08-14T21:39:33.8199100Z test_quantization.py::TestQuantizedOps::test_cat <- test/quantization/core/test_quantized_op.py PASSED [0.1406s] [  0%]
2025-08-14T21:39:33.8199700Z test_quantization.py::TestQuantizedOps::test_cat_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.1542s] [  0%]
2025-08-14T21:39:33.8200310Z test_quantization.py::TestQuantizedOps::test_channel_shuffle <- test/quantization/core/test_quantized_op.py PASSED [0.4504s] [  1%]
2025-08-14T21:39:33.8201240Z test_quantization.py::TestQuantizedOps::test_custom_module_lstm <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0003s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  1%]
2025-08-14T21:39:33.8202350Z test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [  1%]
2025-08-14T21:39:33.8203380Z test_quantization.py::TestQuantizedOps::test_empty_batch <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [  1%]
2025-08-14T21:39:33.8204130Z test_quantization.py::TestQuantizedOps::test_equal <- test/quantization/core/test_quantized_op.py PASSED [0.1522s] [  1%]
2025-08-14T21:39:33.8204870Z test_quantization.py::TestQuantizedOps::test_group_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  1%]
2025-08-14T21:39:33.8205750Z test_quantization.py::TestQuantizedOps::test_hardswish <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0053s] [  1%]
2025-08-14T21:39:33.8206760Z test_quantization.py::TestQuantizedOps::test_hardtanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0064s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  1%]
2025-08-14T21:39:33.8207920Z test_quantization.py::TestQuantizedOps::test_instance_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0146s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  1%]
2025-08-14T21:39:33.8208910Z test_quantization.py::TestQuantizedOps::test_int8_add_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [  1%]
2025-08-14T21:39:33.8209740Z test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  1%]
2025-08-14T21:39:33.8210570Z test_quantization.py::TestQuantizedOps::test_int8_mul_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [  1%]
2025-08-14T21:39:33.8211290Z test_quantization.py::TestQuantizedOps::test_interpolate <- test/quantization/core/test_quantized_op.py PASSED [1.2416s] [  1%]
2025-08-14T21:39:33.8212010Z test_quantization.py::TestQuantizedOps::test_interpolate3d <- test/quantization/core/test_quantized_op.py PASSED [4.2449s] [  2%]
2025-08-14T21:39:33.8212640Z test_quantization.py::TestQuantizedOps::test_leaky_relu <- test/quantization/core/test_quantized_op.py PASSED [0.0077s] [  2%]
2025-08-14T21:39:33.8213430Z test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  2%]
2025-08-14T21:39:33.8214440Z test_quantization.py::TestQuantizedOps::test_linear_bias_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  2%]
2025-08-14T21:39:33.8215260Z test_quantization.py::TestQuantizedOps::test_max_pool1d <- test/quantization/core/test_quantized_op.py PASSED [0.1444s] [  2%]
2025-08-14T21:39:33.8215870Z test_quantization.py::TestQuantizedOps::test_max_pool2d <- test/quantization/core/test_quantized_op.py PASSED [0.2921s] [  2%]
2025-08-14T21:39:33.8216760Z test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0567s] (cudnn is not enabled.) [  2%]
2025-08-14T21:39:33.8217650Z test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.3378s] [  2%]
2025-08-14T21:39:33.8218300Z test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e <- test/quantization/core/test_quantized_op.py PASSED [0.0051s] [  2%]
2025-08-14T21:39:33.8218920Z test_quantization.py::TestQuantizedOps::test_max_pool3d <- test/quantization/core/test_quantized_op.py PASSED [0.0151s] [  2%]
2025-08-14T21:39:33.8219540Z test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.1648s] [  2%]
2025-08-14T21:39:33.8220350Z test_quantization.py::TestQuantizedOps::test_mean <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [  2%]
2025-08-14T21:39:33.8221160Z test_quantization.py::TestQuantizedOps::test_mul_scalar_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (skipping macos test) [  2%]
2025-08-14T21:39:33.8222700Z test_quantization.py::TestQuantizedOps::test_qadd_broadcast <- test/quantization/core/test_quantized_op.py [W814 21:32:02.055711000 Resize.cpp:38] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2025-08-14T21:39:33.8223960Z PASSED [0.0009s] [  2%]
2025-08-14T21:39:33.8224390Z test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (cudnn is not enabled.) [  3%]
2025-08-14T21:39:33.8225140Z test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (cudnn is not enabled.) [  3%]
2025-08-14T21:39:33.8225870Z test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0019s] [  3%]
2025-08-14T21:39:33.8226550Z test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0027s] [  3%]
2025-08-14T21:39:33.8227180Z test_quantization.py::TestQuantizedOps::test_qcelu <- test/quantization/core/test_quantized_op.py PASSED [0.0833s] [  3%]
2025-08-14T21:39:33.8227770Z test_quantization.py::TestQuantizedOps::test_qclamp <- test/quantization/core/test_quantized_op.py PASSED [0.4098s] [  3%]
2025-08-14T21:39:33.8228350Z test_quantization.py::TestQuantizedOps::test_qelu <- test/quantization/core/test_quantized_op.py PASSED [0.0972s] [  3%]
2025-08-14T21:39:33.8237980Z test_quantization.py::TestQuantizedOps::test_qgelu <- test/quantization/core/test_quantized_op.py PASSED [0.0196s] [  3%]
2025-08-14T21:39:33.8238900Z test_quantization.py::TestQuantizedOps::test_qhardsigmoid <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  3%]
2025-08-14T21:39:33.8240150Z test_quantization.py::TestQuantizedOps::test_qlayer_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  3%]
2025-08-14T21:39:33.8241120Z test_quantization.py::TestQuantizedOps::test_qmatmul <- test/quantization/core/test_quantized_op.py PASSED [0.0350s] [  3%]
2025-08-14T21:39:33.8241750Z test_quantization.py::TestQuantizedOps::test_qmul_broadcast <- test/quantization/core/test_quantized_op.py PASSED [0.0015s] [  3%]
2025-08-14T21:39:33.8242420Z test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0018s] [  3%]
2025-08-14T21:39:33.8243090Z test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.1432s] [  4%]
2025-08-14T21:39:33.8243730Z test_quantization.py::TestQuantizedOps::test_qprelu <- test/quantization/core/test_quantized_op.py PASSED [0.0237s] [  4%]
2025-08-14T21:39:33.8244490Z test_quantization.py::TestQuantizedOps::test_qrelu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  4%]
2025-08-14T21:39:33.8245220Z test_quantization.py::TestQuantizedOps::test_qrelu6 <- test/quantization/core/test_quantized_op.py PASSED [0.0923s] [  4%]
2025-08-14T21:39:33.8245940Z test_quantization.py::TestQuantizedOps::test_qsoftmax <- test/quantization/core/test_quantized_op.py PASSED [0.0925s] [  4%]
2025-08-14T21:39:33.8247270Z test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack <- test/quantization/core/test_quantized_op.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157243 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [  4%]
2025-08-14T21:39:33.8248970Z test_quantization.py::TestQuantizedOps::test_qtanh <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0039s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [  4%]
2025-08-14T21:39:33.8249990Z test_quantization.py::TestQuantizedOps::test_qthreshold <- test/quantization/core/test_quantized_op.py PASSED [0.0733s] [  4%]
2025-08-14T21:39:33.8250600Z test_quantization.py::TestQuantizedOps::test_qtopk <- test/quantization/core/test_quantized_op.py PASSED [0.0170s] [  4%]
2025-08-14T21:39:33.8251210Z test_quantization.py::TestQuantizedOps::test_quantized_equal <- test/quantization/core/test_quantized_op.py PASSED [0.0009s] [  4%]
2025-08-14T21:39:33.8252530Z test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack <- test/quantization/core/test_quantized_op.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157255 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [  4%]
2025-08-14T21:39:33.8254100Z test_quantization.py::TestQuantizedOps::test_sigmoid <- test/quantization/core/test_quantized_op.py SKIPPED [0.0011s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  4%]
2025-08-14T21:39:33.8255400Z test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error <- test/quantization/core/test_quantized_op.py SKIPPED [0.0015s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  4%]
2025-08-14T21:39:33.8256510Z test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [  5%]
2025-08-14T21:39:33.8257630Z test_quantization.py::TestQuantizedOps::test_std <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  5%]
2025-08-14T21:39:33.8258760Z test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8259720Z test_quantization.py::TestQNNPackOps::test_avg_pool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8260640Z test_quantization.py::TestQNNPackOps::test_hardtanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8261550Z test_quantization.py::TestQNNPackOps::test_mean <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8262470Z test_quantization.py::TestQNNPackOps::test_qnnpack_add <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8263520Z test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8264500Z test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8265440Z test_quantization.py::TestQNNPackOps::test_qnnpack_mul <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8266370Z test_quantization.py::TestQNNPackOps::test_qnnpack_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8267300Z test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8268270Z test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8269210Z test_quantization.py::TestQNNPackOps::test_qnnpack_tanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-08-14T21:39:33.8270130Z test_quantization.py::TestQuantizedLinear::test_qlinear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  6%]
2025-08-14T21:39:33.8270990Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8271820Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8272780Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0013s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8273630Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0012s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8274910Z test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0081s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  6%]
2025-08-14T21:39:33.8276130Z test_quantization.py::TestQuantizedLinear::test_qlinear_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8276950Z test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8277780Z test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8278610Z test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8279440Z test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-08-14T21:39:33.8280440Z test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0539s] [  6%]
2025-08-14T21:39:33.8281430Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  6%]
2025-08-14T21:39:33.8282300Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8283130Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8283960Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8284790Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8285630Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8286480Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0013s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8287310Z test_quantization.py::TestQuantizedLinear::test_qlinear_tanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8288180Z test_quantization.py::TestQuantizedLinear::test_qlinear_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0477s] [  7%]
2025-08-14T21:39:33.8289460Z test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32 <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0045s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-08-14T21:39:33.8291010Z test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear <- test/quantization/core/test_quantized_op.py SKIPPED [0.0012s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-08-14T21:39:33.8292350Z test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-08-14T21:39:33.8293490Z test_quantization.py::TestQuantizedConv::test_benchmark <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (used for local benchmarking, comment when we want to run it) [  7%]
2025-08-14T21:39:33.8294290Z test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn <- test/quantization/core/test_quantized_op.py PASSED [0.0016s] [  7%]
2025-08-14T21:39:33.8295090Z test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [  7%]
2025-08-14T21:39:33.8295980Z test_quantization.py::TestQuantizedConv::test_qconv1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0388s] [  8%]
2025-08-14T21:39:33.8297250Z test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0042s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-08-14T21:39:33.8298400Z test_quantization.py::TestQuantizedConv::test_qconv1d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0014s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8299210Z test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8300070Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0415s] [  8%]
2025-08-14T21:39:33.8301260Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0037s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-08-14T21:39:33.8302420Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0012s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8303240Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8304110Z test_quantization.py::TestQuantizedConv::test_qconv1d_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.1475s] [  8%]
2025-08-14T21:39:33.8305000Z test_quantization.py::TestQuantizedConv::test_qconv2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0378s] [  8%]
2025-08-14T21:39:33.8305840Z test_quantization.py::TestQuantizedConv::test_qconv2d_add <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8306760Z test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0013s] (Quantized operations require ONEDNN.) [  8%]
2025-08-14T21:39:33.8307910Z test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0039s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-08-14T21:39:33.8309110Z test_quantization.py::TestQuantizedConv::test_qconv2d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0012s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8310100Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8310960Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8311800Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8312640Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8313460Z test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8314330Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0391s] [  9%]
2025-08-14T21:39:33.8315620Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0039s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  9%]
2025-08-14T21:39:33.8316790Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8317610Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8318430Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0018s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8319240Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8320090Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  9%]
2025-08-14T21:39:33.8320950Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8321780Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8322610Z test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8323430Z test_quantization.py::TestQuantizedConv::test_qconv2d_swish_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0022s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8324370Z test_quantization.py::TestQuantizedConv::test_qconv2d_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.1681s] [ 10%]
2025-08-14T21:39:33.8325140Z test_quantization.py::TestQuantizedConv::test_qconv3d <- test/quantization/core/test_quantized_op.py PASSED [0.0421s] [ 10%]
2025-08-14T21:39:33.8325890Z test_quantization.py::TestQuantizedConv::test_qconv3d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0016s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8326740Z test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [ 10%]
2025-08-14T21:39:33.8327460Z test_quantization.py::TestQuantizedConv::test_qconv3d_relu <- test/quantization/core/test_quantized_op.py PASSED [0.0549s] [ 10%]
2025-08-14T21:39:33.8328230Z test_quantization.py::TestQuantizedConv::test_qconv3d_unpack <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.1638s] [ 10%]
2025-08-14T21:39:33.8329140Z test_quantization.py::TestQuantizedConv::test_qconv_transpose1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [ 10%]
2025-08-14T21:39:33.8330070Z test_quantization.py::TestQuantizedConv::test_qconv_transpose2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0409s] [ 10%]
2025-08-14T21:39:33.8330990Z test_quantization.py::TestQuantizedConv::test_qconv_transpose3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0532s] [ 10%]
2025-08-14T21:39:33.8331990Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 10%]
2025-08-14T21:39:33.8332950Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 11%]
2025-08-14T21:39:33.8333930Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0023s] [ 11%]
2025-08-14T21:39:33.8334900Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0012s] [ 11%]
2025-08-14T21:39:33.8335900Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 11%]
2025-08-14T21:39:33.8336890Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 11%]
2025-08-14T21:39:33.8337840Z test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [ 11%]
2025-08-14T21:39:33.8338940Z test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-08-14T21:39:33.8340050Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 11%]
2025-08-14T21:39:33.8341120Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-08-14T21:39:33.8342440Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-08-14T21:39:33.8343570Z test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0187s] [ 11%]
2025-08-14T21:39:33.8344670Z test_quantization.py::TestDynamicQuantizedOps::test_qrnncell <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0005s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 11%]
2025-08-14T21:39:33.8345910Z test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-08-14T21:39:33.8347210Z test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-08-14T21:39:33.8348500Z test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0013s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-08-14T21:39:33.8349870Z test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant <- test/quantization/core/test_quantized_op.py SKIPPED [0.0011s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-08-14T21:39:33.8350890Z test_quantization.py::TestComparatorOps::test_compare_tensor_scalar <- test/quantization/core/test_quantized_op.py PASSED [0.2793s] [ 12%]
2025-08-14T21:39:33.8351560Z test_quantization.py::TestComparatorOps::test_compare_tensor_tensor <- test/quantization/core/test_quantized_op.py PASSED [0.1288s] [ 12%]
2025-08-14T21:39:33.8352200Z test_quantization.py::TestPadding::test_constant_padNd <- test/quantization/core/test_quantized_op.py PASSED [0.4141s] [ 12%]
2025-08-14T21:39:33.8352810Z test_quantization.py::TestPadding::test_reflection_pad1d <- test/quantization/core/test_quantized_op.py PASSED [0.2334s] [ 12%]
2025-08-14T21:39:33.8353430Z test_quantization.py::TestPadding::test_reflection_pad2d <- test/quantization/core/test_quantized_op.py PASSED [13.0895s] [ 12%]
2025-08-14T21:39:33.8354140Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (Known test failure on Mac.) [ 12%]
2025-08-14T21:39:33.8354970Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-08-14T21:39:33.8355820Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-08-14T21:39:33.8356670Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-08-14T21:39:33.8357520Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (Known test failure on Mac.) [ 12%]
2025-08-14T21:39:33.8358410Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (Known test failure on Mac.) [ 13%]
2025-08-14T21:39:33.8359920Z test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api <- test/quantization/core/test_quantized_functional.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157296 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 13%]
2025-08-14T21:39:33.8361990Z test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api <- test/quantization/core/test_quantized_functional.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157346 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 13%]
2025-08-14T21:39:33.8363360Z test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api <- test/quantization/core/test_quantized_functional.py PASSED [0.0493s] [ 13%]
2025-08-14T21:39:33.8364080Z test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample <- test/quantization/core/test_quantized_functional.py PASSED [0.0716s] [ 13%]
2025-08-14T21:39:33.8364790Z test_quantization.py::TestQuantizedFunctionalOps::test_relu_api <- test/quantization/core/test_quantized_functional.py PASSED [0.0029s] [ 13%]
2025-08-14T21:39:33.8365940Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0049s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 13%]
2025-08-14T21:39:33.8367060Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0062s] [ 13%]
2025-08-14T21:39:33.8367870Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 13%]
2025-08-14T21:39:33.8368910Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0045s] (temporarily disable the test) [ 13%]
2025-08-14T21:39:33.8369880Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0051s] [ 13%]
2025-08-14T21:39:33.8370690Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0002s] (No gpu is not available.) [ 13%]
2025-08-14T21:39:33.8371450Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control <- test/quantization/core/test_workflow_ops.py PASSED [0.0087s] [ 13%]
2025-08-14T21:39:33.8372170Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range <- test/quantization/core/test_workflow_ops.py PASSED [0.1126s] [ 13%]
2025-08-14T21:39:33.8372940Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations <- test/quantization/core/test_workflow_ops.py PASSED [0.0245s] [ 14%]
2025-08-14T21:39:33.8373750Z test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes <- test/quantization/core/test_workflow_ops.py PASSED [0.0025s] [ 14%]
2025-08-14T21:39:33.8374510Z test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf <- test/quantization/core/test_workflow_ops.py PASSED [0.0066s] [ 14%]
2025-08-14T21:39:33.8375220Z test_quantization.py::TestFakeQuantizeOps::test_fixed_qparams_fq_module <- test/quantization/core/test_workflow_ops.py PASSED [0.1522s] [ 14%]
2025-08-14T21:39:33.8376010Z test_quantization.py::TestFakeQuantizeOps::test_forward_backward_per_tensor_with_amp <- test/quantization/core/test_workflow_ops.py PASSED [0.0174s] [ 14%]
2025-08-14T21:39:33.8376720Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0868s] [ 14%]
2025-08-14T21:39:33.8377470Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0075s] [ 14%]
2025-08-14T21:39:33.8378320Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 14%]
2025-08-14T21:39:33.8379140Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics <- test/quantization/core/test_workflow_ops.py PASSED [0.0039s] [ 14%]
2025-08-14T21:39:33.8379870Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0593s] [ 14%]
2025-08-14T21:39:33.8380580Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0049s] [ 14%]
2025-08-14T21:39:33.8381370Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 14%]
2025-08-14T21:39:33.8382190Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics <- test/quantization/core/test_workflow_ops.py PASSED [0.0020s] [ 14%]
2025-08-14T21:39:33.8382920Z test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.2167s] [ 15%]
2025-08-14T21:39:33.8383680Z test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0067s] [ 15%]
2025-08-14T21:39:33.8384820Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0036s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 15%]
2025-08-14T21:39:33.8386230Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0028s] (No gpu is not available.) [ 15%]
2025-08-14T21:39:33.8387220Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.1397s] [ 15%]
2025-08-14T21:39:33.8388210Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0029s] (No gpu is not available.) [ 15%]
2025-08-14T21:39:33.8389860Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cpu <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0006s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/107155 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 15%]
2025-08-14T21:39:33.8391500Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0029s] (No gpu is not available.) [ 15%]
2025-08-14T21:39:33.8392940Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0034s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 15%]
2025-08-14T21:39:33.8394360Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0032s] (No gpu is not available.) [ 15%]
2025-08-14T21:39:33.8395390Z test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0284s] [ 15%]
2025-08-14T21:39:33.8396130Z test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0094s] [ 15%]
2025-08-14T21:39:33.8396870Z test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off <- test/quantization/core/test_workflow_ops.py PASSED [0.0031s] [ 15%]
2025-08-14T21:39:33.8397600Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op <- test/quantization/core/test_workflow_ops.py PASSED [0.0027s] [ 15%]
2025-08-14T21:39:33.8398330Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg <- test/quantization/core/test_workflow_ops.py PASSED [0.0084s] [ 16%]
2025-08-14T21:39:33.8399080Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0439s] [ 16%]
2025-08-14T21:39:33.8399810Z test_quantization.py::TestQuantizedTensor::test_bfp16_quantize <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 16%]
2025-08-14T21:39:33.8400950Z test_quantization.py::TestQuantizedTensor::test_choose_qparams <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0033s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 16%]
2025-08-14T21:39:33.8402040Z test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized <- test/quantization/core/test_quantized_tensor.py PASSED [0.0059s] [ 16%]
2025-08-14T21:39:33.8402720Z test_quantization.py::TestQuantizedTensor::test_clone <- test/quantization/core/test_quantized_tensor.py PASSED [0.0020s] [ 16%]
2025-08-14T21:39:33.8403470Z test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0002s] (CUDA is not available) [ 16%]
2025-08-14T21:39:33.8404360Z test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0002s] (CUDA is not available) [ 16%]
2025-08-14T21:39:33.8405240Z test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0002s] (CUDA is not available) [ 16%]
2025-08-14T21:39:33.8406130Z test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward <- test/quantization/core/test_quantized_tensor.py PASSED [0.0012s] [ 16%]
2025-08-14T21:39:33.8406940Z test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0024s] [ 16%]
2025-08-14T21:39:33.8407700Z test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0032s] [ 16%]
2025-08-14T21:39:33.8408460Z test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern <- test/quantization/core/test_quantized_tensor.py PASSED [0.0015s] [ 16%]
2025-08-14T21:39:33.8409220Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 17%]
2025-08-14T21:39:33.8410090Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input <- test/quantization/core/test_quantized_tensor.py PASSED [0.0024s] [ 17%]
2025-08-14T21:39:33.8410890Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group <- test/quantization/core/test_quantized_tensor.py PASSED [0.0042s] [ 17%]
2025-08-14T21:39:33.8411720Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 17%]
2025-08-14T21:39:33.8412540Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 17%]
2025-08-14T21:39:33.8413320Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token <- test/quantization/core/test_quantized_tensor.py PASSED [0.0022s] [ 17%]
2025-08-14T21:39:33.8414030Z test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0020s] [ 17%]
2025-08-14T21:39:33.8414780Z test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0002s] (No gpu is available.) [ 17%]
2025-08-14T21:39:33.8415520Z test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op <- test/quantization/core/test_quantized_tensor.py PASSED [0.0022s] [ 17%]
2025-08-14T21:39:33.8416190Z test_quantization.py::TestQuantizedTensor::test_jit_serialization <- test/quantization/core/test_quantized_tensor.py PASSED [0.0090s] [ 17%]
2025-08-14T21:39:33.8416900Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0015s] [ 17%]
2025-08-14T21:39:33.8417770Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 17%]
2025-08-14T21:39:33.8418590Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format <- test/quantization/core/test_quantized_tensor.py PASSED [0.0012s] [ 17%]
2025-08-14T21:39:33.8419380Z test_quantization.py::TestQuantizedTensor::test_per_channel_to_device <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-08-14T21:39:33.8420160Z test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 18%]
2025-08-14T21:39:33.8420950Z test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-08-14T21:39:33.8421720Z test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0220s] [ 18%]
2025-08-14T21:39:33.8422430Z test_quantization.py::TestQuantizedTensor::test_qscheme_pickle <- test/quantization/core/test_quantized_tensor.py PASSED [0.0017s] [ 18%]
2025-08-14T21:39:33.8423160Z test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment <- test/quantization/core/test_quantized_tensor.py PASSED [0.0070s] [ 18%]
2025-08-14T21:39:33.8423880Z test_quantization.py::TestQuantizedTensor::test_qtensor_copy <- test/quantization/core/test_quantized_tensor.py PASSED [0.0021s] [ 18%]
2025-08-14T21:39:33.8424550Z test_quantization.py::TestQuantizedTensor::test_qtensor_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0043s] [ 18%]
2025-08-14T21:39:33.8425230Z test_quantization.py::TestQuantizedTensor::test_qtensor_creation <- test/quantization/core/test_quantized_tensor.py PASSED [0.0013s] [ 18%]
2025-08-14T21:39:33.8425970Z test_quantization.py::TestQuantizedTensor::test_qtensor_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-08-14T21:39:33.8426770Z test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 18%]
2025-08-14T21:39:33.8427440Z test_quantization.py::TestQuantizedTensor::test_qtensor_equal <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 18%]
2025-08-14T21:39:33.8428130Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0031s] [ 18%]
2025-08-14T21:39:33.8428920Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc <- test/quantization/core/test_quantized_tensor.py PASSED [0.0039s] [ 18%]
2025-08-14T21:39:33.8429680Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0022s] [ 19%]
2025-08-14T21:39:33.8430400Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc <- test/quantization/core/test_quantized_tensor.py PASSED [0.0032s] [ 19%]
2025-08-14T21:39:33.8431130Z test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment <- test/quantization/core/test_quantized_tensor.py PASSED [0.0017s] [ 19%]
2025-08-14T21:39:33.8431830Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0047s] [ 19%]
2025-08-14T21:39:33.8432590Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-08-14T21:39:33.8433360Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 19%]
2025-08-14T21:39:33.8434230Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-08-14T21:39:33.8434990Z test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 19%]
2025-08-14T21:39:33.8435690Z test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 19%]
2025-08-14T21:39:33.8436390Z test_quantization.py::TestQuantizedTensor::test_qtensor_load_save <- test/quantization/core/test_quantized_tensor.py PASSED [0.0071s] [ 19%]
2025-08-14T21:39:33.8437090Z test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0033s] [ 19%]
2025-08-14T21:39:33.8437850Z test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-08-14T21:39:33.8438630Z test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save <- test/quantization/core/test_quantized_tensor.py PASSED [0.0072s] [ 19%]
2025-08-14T21:39:33.8439370Z test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 20%]
2025-08-14T21:39:33.8440070Z test_quantization.py::TestQuantizedTensor::test_qtensor_permute <- test/quantization/core/test_quantized_tensor.py PASSED [0.0057s] [ 20%]
2025-08-14T21:39:33.8440760Z test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 20%]
2025-08-14T21:39:33.8441460Z test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.2506s] [ 20%]
2025-08-14T21:39:33.8442180Z test_quantization.py::TestQuantizedTensor::test_qtensor_reshape <- test/quantization/core/test_quantized_tensor.py PASSED [0.0016s] [ 20%]
2025-08-14T21:39:33.8442840Z test_quantization.py::TestQuantizedTensor::test_qtensor_resize <- test/quantization/core/test_quantized_tensor.py PASSED [0.0018s] [ 20%]
2025-08-14T21:39:33.8443650Z test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols <- test/quantization/core/test_quantized_tensor.py PASSED [0.0060s] [ 20%]
2025-08-14T21:39:33.8444380Z test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols <- test/quantization/core/test_quantized_tensor.py PASSED [0.0085s] [ 20%]
2025-08-14T21:39:33.8445190Z test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze <- test/quantization/core/test_quantized_tensor.py PASSED [0.0017s] [ 20%]
2025-08-14T21:39:33.8445980Z test_quantization.py::TestQuantizedTensor::test_qtensor_view <- test/quantization/core/test_quantized_tensor.py PASSED [0.0019s] [ 20%]
2025-08-14T21:39:33.8446870Z test_quantization.py::TestQuantizedTensor::test_quant_pin_memory <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (CUDA is not available) [ 20%]
2025-08-14T21:39:33.8447690Z test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams <- test/quantization/core/test_quantized_tensor.py PASSED [0.2416s] [ 20%]
2025-08-14T21:39:33.8448500Z test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte <- test/quantization/core/test_quantized_tensor.py PASSED [0.0087s] [ 20%]
2025-08-14T21:39:33.8449220Z test_quantization.py::TestQuantizedTensor::test_repeat <- test/quantization/core/test_quantized_tensor.py PASSED [0.0018s] [ 21%]
2025-08-14T21:39:33.8449980Z test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy <- test/quantization/core/test_quantized_tensor.py PASSED [0.0013s] [ 21%]
2025-08-14T21:39:33.8450720Z test_quantization.py::TestFakeQuantize::test_fq_module_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.1331s] [ 21%]
2025-08-14T21:39:33.8451480Z test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.0054s] [ 21%]
2025-08-14T21:39:33.8452490Z test_quantization.py::TestFakeQuantize::test_quant_min_max_override <- test/quantization/core/test_workflow_module.py PASSED [0.0025s] [ 21%]
2025-08-14T21:39:33.8453270Z test_quantization.py::TestObserver::test_dynamic_quant_observer <- test/quantization/core/test_workflow_module.py PASSED [0.0076s] [ 21%]
2025-08-14T21:39:33.8454010Z test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams <- test/quantization/core/test_workflow_module.py PASSED [0.0012s] [ 21%]
2025-08-14T21:39:33.8454840Z test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape <- test/quantization/core/test_workflow_module.py PASSED [0.0019s] [ 21%]
2025-08-14T21:39:33.8455680Z test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value <- test/quantization/core/test_workflow_module.py PASSED [0.0016s] [ 21%]
2025-08-14T21:39:33.8456510Z test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity <- test/quantization/core/test_workflow_module.py PASSED [0.6663s] [ 21%]
2025-08-14T21:39:33.8457290Z test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity <- test/quantization/core/test_workflow_module.py PASSED [0.0034s] [ 21%]
2025-08-14T21:39:33.8458080Z test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict <- test/quantization/core/test_workflow_module.py PASSED [0.0029s] [ 21%]
2025-08-14T21:39:33.8458930Z test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity <- test/quantization/core/test_workflow_module.py SKIPPED [0.0003s] (multi-GPU not supported) [ 21%]
2025-08-14T21:39:33.8459780Z test_quantization.py::TestObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.0504s] [ 21%]
2025-08-14T21:39:33.8460480Z test_quantization.py::TestObserver::test_per_channel_observers <- test/quantization/core/test_workflow_module.py PASSED [0.2366s] [ 22%]
2025-08-14T21:39:33.8461210Z test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict <- test/quantization/core/test_workflow_module.py PASSED [0.0016s] [ 22%]
2025-08-14T21:39:33.8462030Z test_quantization.py::TestObserver::test_per_tensor_observers <- test/quantization/core/test_workflow_module.py PASSED [0.1534s] [ 22%]
2025-08-14T21:39:33.8462750Z test_quantization.py::TestObserver::test_save_load_state_dict_script <- test/quantization/core/test_workflow_module.py PASSED [0.1553s] [ 22%]
2025-08-14T21:39:33.8463750Z test_quantization.py::TestObserver::test_state_dict_respects_device_affinity <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (multi-GPU not supported) [ 22%]
2025-08-14T21:39:33.8464790Z test_quantization.py::TestObserver::test_zero_numel <- test/quantization/core/test_workflow_module.py PASSED [0.0012s] [ 22%]
2025-08-14T21:39:33.8465480Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d <- test/quantization/core/test_quantized_module.py PASSED [0.0019s] [ 22%]
2025-08-14T21:39:33.8466310Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0129s] [ 22%]
2025-08-14T21:39:33.8472630Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d <- test/quantization/core/test_quantized_module.py PASSED [0.0088s] [ 22%]
2025-08-14T21:39:33.8473410Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0228s] [ 22%]
2025-08-14T21:39:33.8474160Z test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle <- test/quantization/core/test_quantized_module.py PASSED [0.0054s] [ 22%]
2025-08-14T21:39:33.8475000Z test_quantization.py::TestStaticQuantizedModule::test_conv1d_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 22%]
2025-08-14T21:39:33.8478610Z test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 22%]
2025-08-14T21:39:33.8479550Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_add <- test/quantization/core/test_quantized_module.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 23%]
2025-08-14T21:39:33.8480440Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu <- test/quantization/core/test_quantized_module.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 23%]
2025-08-14T21:39:33.8481360Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 23%]
2025-08-14T21:39:33.8482310Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 23%]
2025-08-14T21:39:33.8483420Z test_quantization.py::TestStaticQuantizedModule::test_conv3d_api <- test/quantization/core/test_quantized_module.py SKIPPED [0.0023s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-08-14T21:39:33.8484660Z test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api <- test/quantization/core/test_quantized_module.py SKIPPED [0.0054s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-08-14T21:39:33.8485630Z test_quantization.py::TestStaticQuantizedModule::test_dropout <- test/quantization/core/test_quantized_module.py PASSED [0.0024s] [ 23%]
2025-08-14T21:39:33.8486340Z test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0031s] [ 23%]
2025-08-14T21:39:33.8487030Z test_quantization.py::TestStaticQuantizedModule::test_elu <- test/quantization/core/test_quantized_module.py PASSED [0.0042s] [ 23%]
2025-08-14T21:39:33.8488270Z test_quantization.py::TestStaticQuantizedModule::test_embedding_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0067s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-08-14T21:39:33.8489790Z test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0156s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-08-14T21:39:33.8490960Z test_quantization.py::TestStaticQuantizedModule::test_group_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0063s] [ 23%]
2025-08-14T21:39:33.8491650Z test_quantization.py::TestStaticQuantizedModule::test_hard_swish <- test/quantization/core/test_quantized_module.py PASSED [0.0037s] [ 23%]
2025-08-14T21:39:33.8492340Z test_quantization.py::TestStaticQuantizedModule::test_instance_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0417s] [ 23%]
2025-08-14T21:39:33.8493030Z test_quantization.py::TestStaticQuantizedModule::test_layer_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0038s] [ 24%]
2025-08-14T21:39:33.8493710Z test_quantization.py::TestStaticQuantizedModule::test_leaky_relu <- test/quantization/core/test_quantized_module.py PASSED [0.0018s] [ 24%]
2025-08-14T21:39:33.8494660Z test_quantization.py::TestStaticQuantizedModule::test_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 24%]
2025-08-14T21:39:33.8495780Z test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu <- test/quantization/core/test_quantized_module.py SKIPPED [0.0011s] (Quantized operations require ONEDNN.) [ 24%]
2025-08-14T21:39:33.8497080Z test_quantization.py::TestStaticQuantizedModule::test_linear_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 24%]
2025-08-14T21:39:33.8498150Z test_quantization.py::TestStaticQuantizedModule::test_linear_tanh <- test/quantization/core/test_quantized_module.py SKIPPED [0.0010s] (Quantized operations require ONEDNN.) [ 24%]
2025-08-14T21:39:33.8498930Z test_quantization.py::TestStaticQuantizedModule::test_pool_api <- test/quantization/core/test_quantized_module.py PASSED [0.0234s] [ 24%]
2025-08-14T21:39:33.8499600Z test_quantization.py::TestStaticQuantizedModule::test_prelu <- test/quantization/core/test_quantized_module.py PASSED [0.0047s] [ 24%]
2025-08-14T21:39:33.8500290Z test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api <- test/quantization/core/test_quantized_module.py PASSED [0.0010s] [ 24%]
2025-08-14T21:39:33.8500990Z test_quantization.py::TestStaticQuantizedModule::test_relu <- test/quantization/core/test_quantized_module.py PASSED [0.0009s] [ 24%]
2025-08-14T21:39:33.8502390Z test_quantization.py::TestStaticQuantizedModule::test_sigmoid <- test/quantization/core/test_quantized_module.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157244 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 24%]
2025-08-14T21:39:33.8503890Z test_quantization.py::TestDynamicQuantizedModule::test_cell_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0019s] [ 24%]
2025-08-14T21:39:33.8504850Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 24%]
2025-08-14T21:39:33.8505930Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 25%]
2025-08-14T21:39:33.8506900Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 25%]
2025-08-14T21:39:33.8507880Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 25%]
2025-08-14T21:39:33.8508940Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0030s] [ 25%]
2025-08-14T21:39:33.8509970Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0011s] [ 25%]
2025-08-14T21:39:33.8510930Z test_quantization.py::TestDynamicQuantizedModule::test_gru_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [ 25%]
2025-08-14T21:39:33.8511870Z test_quantization.py::TestDynamicQuantizedModule::test_linear_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0183s] [ 25%]
2025-08-14T21:39:33.8512810Z test_quantization.py::TestDynamicQuantizedModule::test_lstm_api <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0024s] [ 25%]
2025-08-14T21:39:33.8513860Z test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax <- test/quantization/core/test_quantized_module.py PASSED [0.0068s] [ 25%]
2025-08-14T21:39:33.8514650Z test_quantization.py::TestReferenceQuantizedModule::test_rnn <- test/quantization/core/test_quantized_module.py PASSED [0.0039s] [ 25%]
2025-08-14T21:39:33.8515340Z test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell <- test/quantization/core/test_quantized_module.py PASSED [0.0022s] [ 25%]
2025-08-14T21:39:33.8516030Z test_quantization.py::TestReferenceQuantizedModule::test_sparse <- test/quantization/core/test_quantized_module.py PASSED [0.0026s] [ 25%]
2025-08-14T21:39:33.8516750Z test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.0121s] [ 25%]
2025-08-14T21:39:33.8517490Z test_quantization.py::TestRecordHistogramObserver::test_record_observer <- test/quantization/core/test_workflow_module.py PASSED [0.0009s] [ 26%]
2025-08-14T21:39:33.8518200Z test_quantization.py::TestHistogramObserver::test_histogram_observer <- test/quantization/core/test_workflow_module.py PASSED [8.4737s] [ 26%]
2025-08-14T21:39:33.8518950Z test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference <- test/quantization/core/test_workflow_module.py PASSED [2.1566s] [ 26%]
2025-08-14T21:39:33.8519710Z test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel <- test/quantization/core/test_workflow_module.py PASSED [0.0019s] [ 26%]
2025-08-14T21:39:33.8520470Z test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.0013s] [ 26%]
2025-08-14T21:39:33.8521230Z test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided <- test/quantization/core/test_workflow_module.py PASSED [0.0821s] [ 26%]
2025-08-14T21:39:33.8521980Z test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.1124s] [ 26%]
2025-08-14T21:39:33.8522860Z test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.0030s] [ 26%]
2025-08-14T21:39:33.8523660Z test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds <- test/quantization/core/test_workflow_module.py PASSED [0.0020s] [ 26%]
2025-08-14T21:39:33.8524430Z test_quantization.py::TestHistogramObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.3452s] [ 26%]
2025-08-14T21:39:33.8525400Z test_quantization.py::TestDistributed::test_device_affinity <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (multi-GPU not supported) [ 26%]
2025-08-14T21:39:33.8526280Z test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers <- test/quantization/core/test_workflow_module.py PASSED [0.0015s] [ 26%]
2025-08-14T21:39:33.8526980Z test_quantization.py::TestDistributed::test_observers_preserve_buffers <- test/quantization/core/test_workflow_module.py PASSED [0.0032s] [ 26%]
2025-08-14T21:39:33.8527690Z test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement <- test/quantization/core/test_workflow_module.py PASSED [0.0008s] [ 26%]
2025-08-14T21:39:33.8528460Z test_quantization.py::TestDistributed::test_qat_data_parallel <- test/quantization/core/test_workflow_module.py SKIPPED [0.0001s] (multi-GPU not supported) [ 27%]
2025-08-14T21:39:33.8529190Z test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 27%]
2025-08-14T21:39:33.8529930Z test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module <- test/quantization/core/test_workflow_module.py PASSED [0.0040s] [ 27%]
2025-08-14T21:39:33.8530770Z test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0128s] [ 27%]
2025-08-14T21:39:33.8531680Z test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0183s] [ 27%]
2025-08-14T21:39:33.8532450Z test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0011s] [ 27%]
2025-08-14T21:39:33.8533190Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.0185s] [ 27%]
2025-08-14T21:39:33.8533970Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 27%]
2025-08-14T21:39:33.8534700Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module <- test/quantization/core/test_workflow_module.py PASSED [0.0023s] [ 27%]
2025-08-14T21:39:33.8535450Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module <- test/quantization/core/test_workflow_module.py PASSED [0.0040s] [ 27%]
2025-08-14T21:39:33.8536180Z test_quantization.py::TestBackendConfig::test_backend_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0024s] [ 27%]
2025-08-14T21:39:33.8536910Z test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config <- test/quantization/core/test_backend_config.py PASSED [0.0012s] [ 27%]
2025-08-14T21:39:33.8537630Z test_quantization.py::TestBackendConfig::test_backend_config_set_name <- test/quantization/core/test_backend_config.py PASSED [0.0016s] [ 27%]
2025-08-14T21:39:33.8538310Z test_quantization.py::TestBackendConfig::test_backend_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0017s] [ 28%]
2025-08-14T21:39:33.8539010Z test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config <- test/quantization/core/test_backend_config.py PASSED [0.0012s] [ 28%]
2025-08-14T21:39:33.8539830Z test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0015s] [ 28%]
2025-08-14T21:39:33.8540560Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter <- test/quantization/core/test_backend_config.py PASSED [0.0018s] [ 28%]
2025-08-14T21:39:33.8541300Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module <- test/quantization/core/test_backend_config.py PASSED [0.0010s] [ 28%]
2025-08-14T21:39:33.8542020Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method <- test/quantization/core/test_backend_config.py PASSED [0.0009s] [ 28%]
2025-08-14T21:39:33.8542830Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index <- test/quantization/core/test_backend_config.py PASSED [0.0012s] [ 28%]
2025-08-14T21:39:33.8543620Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type <- test/quantization/core/test_backend_config.py PASSED [0.0010s] [ 28%]
2025-08-14T21:39:33.8544420Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type <- test/quantization/core/test_backend_config.py PASSED [0.0023s] [ 28%]
2025-08-14T21:39:33.8545150Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module <- test/quantization/core/test_backend_config.py PASSED [0.0014s] [ 28%]
2025-08-14T21:39:33.8545920Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module <- test/quantization/core/test_backend_config.py PASSED [0.0011s] [ 28%]
2025-08-14T21:39:33.8546680Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module <- test/quantization/core/test_backend_config.py PASSED [0.0012s] [ 28%]
2025-08-14T21:39:33.8547470Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter <- test/quantization/core/test_backend_config.py PASSED [0.0010s] [ 28%]
2025-08-14T21:39:33.8548310Z test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0017s] [ 28%]
2025-08-14T21:39:33.8549000Z test_quantization.py::TestBackendConfig::test_dtype_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0012s] [ 29%]
2025-08-14T21:39:33.8549660Z test_quantization.py::TestBackendConfig::test_dtype_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0013s] [ 29%]
2025-08-14T21:39:33.8550320Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args <- test/quantization/core/test_utils.py PASSED [0.0023s] [ 29%]
2025-08-14T21:39:33.8550970Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs <- test/quantization/core/test_utils.py PASSED [0.0015s] [ 29%]
2025-08-14T21:39:33.8551620Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple <- test/quantization/core/test_utils.py PASSED [0.0013s] [ 29%]
2025-08-14T21:39:33.8552260Z test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel <- test/quantization/core/test_utils.py PASSED [0.0012s] [ 29%]
2025-08-14T21:39:33.8552920Z test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor <- test/quantization/core/test_utils.py PASSED [0.0009s] [ 29%]
2025-08-14T21:39:33.8553520Z test_quantization.py::TestUtils::test_uint4_int4_dtype <- test/quantization/core/test_utils.py PASSED [0.0010s] [ 29%]
2025-08-14T21:39:33.8554450Z test_quantization.py::TestQuantizeEagerPTQStatic::test_activations <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-08-14T21:39:33.8555510Z test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0037s] [ 29%]
2025-08-14T21:39:33.8556720Z test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0013s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-08-14T21:39:33.8558100Z test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-08-14T21:39:33.8559500Z test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-08-14T21:39:33.8560770Z test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0018s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8561910Z test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0032s] [ 30%]
2025-08-14T21:39:33.8563040Z test_quantization.py::TestQuantizeEagerPTQStatic::test_manual <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8564400Z test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8565770Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1 <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 30%]
2025-08-14T21:39:33.8566760Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8567760Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3 <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 30%]
2025-08-14T21:39:33.8568800Z test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0015s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8570150Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0021s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8571240Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0791s] [ 30%]
2025-08-14T21:39:33.8572370Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-08-14T21:39:33.8573490Z test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 30%]
2025-08-14T21:39:33.8574260Z test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 30%]
2025-08-14T21:39:33.8575150Z test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 31%]
2025-08-14T21:39:33.8575900Z test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 31%]
2025-08-14T21:39:33.8576930Z test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8578330Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8579700Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8581080Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8582440Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8583950Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8585270Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8586560Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8587910Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8589270Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8590620Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8591930Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-08-14T21:39:33.8593200Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 32%]
2025-08-14T21:39:33.8594640Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 32%]
2025-08-14T21:39:33.8595610Z test_quantization.py::TestQuantizeEagerOps::test_conv_1d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0011s] [ 32%]
2025-08-14T21:39:33.8596470Z test_quantization.py::TestQuantizeEagerOps::test_conv_2d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 32%]
2025-08-14T21:39:33.8597130Z test_quantization.py::TestQuantizeEagerOps::test_conv_3d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 32%]
2025-08-14T21:39:33.8597810Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 32%]
2025-08-14T21:39:33.8598510Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 32%]
2025-08-14T21:39:33.8599210Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0011s] [ 32%]
2025-08-14T21:39:33.8599910Z test_quantization.py::TestQuantizeEagerOps::test_functional_module <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.4813s] [ 32%]
2025-08-14T21:39:33.8600770Z test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 32%]
2025-08-14T21:39:33.8601720Z test_quantization.py::TestQuantizeEagerOps::test_leaky_relu <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0022s] [ 32%]
2025-08-14T21:39:33.8602580Z test_quantization.py::TestQuantizeEagerOps::test_linear <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 32%]
2025-08-14T21:39:33.8603260Z test_quantization.py::TestQuantizeEagerOps::test_relu <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0019s] [ 32%]
2025-08-14T21:39:33.8603960Z test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0024s] [ 33%]
2025-08-14T21:39:33.8604670Z test_quantization.py::TestQuantizeEagerQAT::test_conv_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0008s] [ 33%]
2025-08-14T21:39:33.8605360Z test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0008s] [ 33%]
2025-08-14T21:39:33.8606080Z test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0010s] [ 33%]
2025-08-14T21:39:33.8606790Z test_quantization.py::TestQuantizeEagerQAT::test_dropout <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0011s] [ 33%]
2025-08-14T21:39:33.8607470Z test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0011s] [ 33%]
2025-08-14T21:39:33.8608170Z test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0009s] [ 33%]
2025-08-14T21:39:33.8608900Z test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0040s] [ 33%]
2025-08-14T21:39:33.8609630Z test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0010s] [ 33%]
2025-08-14T21:39:33.8610480Z test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0023s] [ 33%]
2025-08-14T21:39:33.8611390Z test_quantization.py::TestQuantizeEagerQAT::test_manual <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0013s] [ 33%]
2025-08-14T21:39:33.8612100Z test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0035s] [ 33%]
2025-08-14T21:39:33.8612960Z test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0011s] [ 33%]
2025-08-14T21:39:33.8613850Z test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0010s] [ 34%]
2025-08-14T21:39:33.8614740Z test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded <- test/quantization/eager/test_quantize_eager_qat.py SKIPPED [0.0003s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 34%]
2025-08-14T21:39:33.8615650Z test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.3155s] [ 34%]
2025-08-14T21:39:33.8616380Z test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0080s] [ 34%]
2025-08-14T21:39:33.8617110Z test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0045s] [ 34%]
2025-08-14T21:39:33.8617960Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [ 34%]
2025-08-14T21:39:33.8619040Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 34%]
2025-08-14T21:39:33.8620180Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 34%]
2025-08-14T21:39:33.8621210Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 34%]
2025-08-14T21:39:33.8622080Z test_quantization.py::TestQuantizeEagerQATNumerics::test_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0014s] [ 34%]
2025-08-14T21:39:33.8623020Z test_quantization.py::TestFuseEager::test_forward_hooks_preserved <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-08-14T21:39:33.8624240Z test_quantization.py::TestFuseEager::test_fuse_function_customization <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-08-14T21:39:33.8625420Z test_quantization.py::TestFuseEager::test_fuse_module_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-08-14T21:39:33.8626570Z test_quantization.py::TestFuseEager::test_fuse_module_train <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-08-14T21:39:33.8627760Z test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8629080Z test_quantization.py::TestFuseEager::test_fusion_conv_with_bias <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8630270Z test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8631520Z test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8632710Z test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8633950Z test_quantization.py::TestFuseEager::test_fusion_sequential_model_train <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-08-14T21:39:33.8634930Z test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare <- test/quantization/eager/test_model_numerics.py PASSED [0.0009s] [ 35%]
2025-08-14T21:39:33.8635680Z test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel <- test/quantization/eager/test_model_numerics.py PASSED [0.0312s] [ 35%]
2025-08-14T21:39:33.8636520Z test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor <- test/quantization/eager/test_model_numerics.py PASSED [0.0012s] [ 35%]
2025-08-14T21:39:33.8637430Z test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant <- test/quantization/eager/test_model_numerics.py PASSED [0.0008s] [ 35%]
2025-08-14T21:39:33.8638350Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 35%]
2025-08-14T21:39:33.8639390Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 35%]
2025-08-14T21:39:33.8640440Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 35%]
2025-08-14T21:39:33.8641470Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8642500Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8643520Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8644540Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8645570Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8646690Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8647690Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8648740Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8649750Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 36%]
2025-08-14T21:39:33.8650770Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0011s] [ 36%]
2025-08-14T21:39:33.8651770Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 36%]
2025-08-14T21:39:33.8652770Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 36%]
2025-08-14T21:39:33.8653800Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-08-14T21:39:33.8654830Z test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2 <- test/quantization/eager/test_numeric_suite_eager.py SKIPPED [0.0001s] (no torchvision) [ 36%]
2025-08-14T21:39:33.8655620Z test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3 <- test/quantization/eager/test_numeric_suite_eager.py SKIPPED [0.0001s] (no torchvision) [ 37%]
2025-08-14T21:39:33.8656470Z test_quantization.py::TestNumericSuiteEager::test_output_logger <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 37%]
2025-08-14T21:39:33.8657400Z test_quantization.py::TestNumericSuiteEager::test_shadow_logger <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 37%]
2025-08-14T21:39:33.8658180Z test_quantization.py::TestEqualizeEager::test_converged <- test/quantization/eager/test_equalize_eager.py PASSED [0.0012s] [ 37%]
2025-08-14T21:39:33.8658840Z test_quantization.py::TestEqualizeEager::test_cross_layer_equalization <- test/quantization/eager/test_equalize_eager.py PASSED [0.0018s] [ 37%]
2025-08-14T21:39:33.8659510Z test_quantization.py::TestEqualizeEager::test_equalize <- test/quantization/eager/test_equalize_eager.py PASSED [0.0125s] [ 37%]
2025-08-14T21:39:33.8660160Z test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu <- test/quantization/eager/test_equalize_eager.py PASSED [0.0265s] [ 37%]
2025-08-14T21:39:33.8660860Z test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu <- test/quantization/eager/test_equalize_eager.py PASSED [0.0148s] [ 37%]
2025-08-14T21:39:33.8661840Z test_quantization.py::TestBiasCorrectionEager::test_conv_chain <- test/quantization/eager/test_bias_correction_eager.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 37%]
2025-08-14T21:39:33.8663100Z test_quantization.py::TestBiasCorrectionEager::test_linear_chain <- test/quantization/eager/test_bias_correction_eager.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 37%]
2025-08-14T21:39:33.8664370Z test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Temporarily skipping the test case, will enable after the simplepattern format is supported) [ 37%]
2025-08-14T21:39:33.8665230Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0839s] [ 37%]
2025-08-14T21:39:33.8666040Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [ 37%]
2025-08-14T21:39:33.8666770Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn <- test/quantization/fx/test_quantize_fx.py PASSED [0.0856s] [ 38%]
2025-08-14T21:39:33.8667370Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu <- test/quantization/fx/test_quantize_fx.py PASSED [0.0169s] [ 38%]
2025-08-14T21:39:33.8667980Z test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval <- test/quantization/fx/test_quantize_fx.py PASSED [0.0050s] [ 38%]
2025-08-14T21:39:33.8668600Z test_quantization.py::TestFuseFx::test_fuse_custom_pattern <- test/quantization/fx/test_quantize_fx.py PASSED [0.0040s] [ 38%]
2025-08-14T21:39:33.8669180Z test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval <- test/quantization/fx/test_quantize_fx.py PASSED [0.0065s] [ 38%]
2025-08-14T21:39:33.8669900Z test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0021s] (Quantized operations require ONEDNN.) [ 38%]
2025-08-14T21:39:33.8670800Z test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [ 38%]
2025-08-14T21:39:33.8671630Z test_quantization.py::TestFuseFx::test_fuse_module_relu <- test/quantization/fx/test_quantize_fx.py PASSED [0.0039s] [ 38%]
2025-08-14T21:39:33.8672260Z test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode <- test/quantization/fx/test_quantize_fx.py PASSED [0.0025s] [ 38%]
2025-08-14T21:39:33.8672920Z test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs <- test/quantization/fx/test_quantize_fx.py PASSED [0.0025s] [ 38%]
2025-08-14T21:39:33.8673600Z test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0047s] [ 38%]
2025-08-14T21:39:33.8674270Z test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0069s] [ 38%]
2025-08-14T21:39:33.8674910Z test_quantization.py::TestFuseFx::test_problematic_fuse_example <- test/quantization/fx/test_quantize_fx.py PASSED [0.0088s] [ 38%]
2025-08-14T21:39:33.8675790Z test_quantization.py::TestFuseFx::test_qconfig_fused_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8676990Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8678250Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8679560Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8680890Z test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8682220Z test_quantization.py::TestQuantizeFx::test_attention <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8683620Z test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8684870Z test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8686090Z test_quantization.py::TestQuantizeFx::test_backend_config_scale_min <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8687370Z test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8688680Z test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8689830Z test_quantization.py::TestQuantizeFx::test_conv_bn_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8690980Z test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8692160Z test_quantization.py::TestQuantizeFx::test_conv_linear_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-08-14T21:39:33.8693310Z test_quantization.py::TestQuantizeFx::test_conv_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8694470Z test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8695660Z test_quantization.py::TestQuantizeFx::test_conv_transpose_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8696860Z test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8698220Z test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8699420Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8700740Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8702050Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8703290Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8704470Z test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8705810Z test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8707060Z test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8708250Z test_quantization.py::TestQuantizeFx::test_custom_module_class <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-08-14T21:39:33.8709460Z test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8710730Z test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8711970Z test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8713200Z test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8714440Z test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8715650Z test_quantization.py::TestQuantizeFx::test_dequantize <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8716840Z test_quantization.py::TestQuantizeFx::test_dict_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8727570Z test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8728780Z test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8729970Z test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8731150Z test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8732480Z test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8733850Z test_quantization.py::TestQuantizeFx::test_fold_quant_dequant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-08-14T21:39:33.8735060Z test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8736260Z test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8737410Z test_quantization.py::TestQuantizeFx::test_fp32_sum <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8738570Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8739810Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8741030Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8742270Z test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8743460Z test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8744680Z test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0011s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8745980Z test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8747200Z test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8748410Z test_quantization.py::TestQuantizeFx::test_keep_original_weights <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8749620Z test_quantization.py::TestQuantizeFx::test_linear_bn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8750900Z test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-08-14T21:39:33.8752100Z test_quantization.py::TestQuantizeFx::test_linear_qint8_activation <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8753420Z test_quantization.py::TestQuantizeFx::test_linear_shape_view <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8754880Z test_quantization.py::TestQuantizeFx::test_linear_size_view <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8756190Z test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8757420Z test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8758690Z test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8759990Z test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8761240Z test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8762540Z test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8763720Z test_quantization.py::TestQuantizeFx::test_mixed_dtypes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8764870Z test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8766070Z test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8767340Z test_quantization.py::TestQuantizeFx::test_non_traceable_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-08-14T21:39:33.8768620Z test_quantization.py::TestQuantizeFx::test_not_used <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8769750Z test_quantization.py::TestQuantizeFx::test_observer_fqn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8770900Z test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8772080Z test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8773250Z test_quantization.py::TestQuantizeFx::test_pattern_match <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8774410Z test_quantization.py::TestQuantizeFx::test_pattern_match_constant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8775630Z test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8776870Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8778260Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8779560Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8780950Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8782280Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8783590Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8784970Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-08-14T21:39:33.8786430Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8787740Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8788990Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8790160Z test_quantization.py::TestQuantizeFx::test_prepare_mode <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8791320Z test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8792500Z test_quantization.py::TestQuantizeFx::test_preserve_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8793660Z test_quantization.py::TestQuantizeFx::test_preserve_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8794800Z test_quantization.py::TestQuantizeFx::test_preserve_tuple <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8796100Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8797390Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8798750Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8800020Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_list_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8801290Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_list_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-08-14T21:39:33.8802630Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8804060Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8805270Z test_quantization.py::TestQuantizeFx::test_qat_and_script <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8806600Z test_quantization.py::TestQuantizeFx::test_qat_prepare_device_affinity <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8807930Z test_quantization.py::TestQuantizeFx::test_qat_skip_untraced <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8809090Z test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8810420Z test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8811780Z test_quantization.py::TestQuantizeFx::test_qconfig_for_call_func <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8813030Z test_quantization.py::TestQuantizeFx::test_qconfig_for_call_method <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8814190Z test_quantization.py::TestQuantizeFx::test_qconfig_function <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8815450Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8816630Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8817830Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-08-14T21:39:33.8819030Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8820340Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8821750Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8822980Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8824180Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8825390Z test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8826610Z test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8827780Z test_quantization.py::TestQuantizeFx::test_qconfig_module_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8828930Z test_quantization.py::TestQuantizeFx::test_qconfig_none <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8830140Z test_quantization.py::TestQuantizeFx::test_qconfig_precedence <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8831310Z test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8832480Z test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8833710Z test_quantization.py::TestQuantizeFx::test_qparams_buffers <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8834870Z test_quantization.py::TestQuantizeFx::test_qparams_fqn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-08-14T21:39:33.8836030Z test_quantization.py::TestQuantizeFx::test_quant_output_always_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8837230Z test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8838620Z test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8839840Z test_quantization.py::TestQuantizeFx::test_quantized_model_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8840990Z test_quantization.py::TestQuantizeFx::test_ref_conv_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8842140Z test_quantization.py::TestQuantizeFx::test_ref_linear_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8843300Z test_quantization.py::TestQuantizeFx::test_register_patterns <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8844440Z test_quantization.py::TestQuantizeFx::test_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8845570Z test_quantization.py::TestQuantizeFx::test_remove_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8846760Z test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8848080Z test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8849320Z test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8850550Z test_quantization.py::TestQuantizeFx::test_return_none <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-08-14T21:39:33.8851700Z test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8852870Z test_quantization.py::TestQuantizeFx::test_save_observer_state_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8854020Z test_quantization.py::TestQuantizeFx::test_sequential <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8855270Z test_quantization.py::TestQuantizeFx::test_shape_followed_by_quantized_op <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8856660Z test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8857890Z test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8859110Z test_quantization.py::TestQuantizeFx::test_standalone_module_float_interface <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8860360Z test_quantization.py::TestQuantizeFx::test_standalone_module_quantized_interface <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8861550Z test_quantization.py::TestQuantizeFx::test_state_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8862670Z test_quantization.py::TestQuantizeFx::test_static_lstm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8863830Z test_quantization.py::TestQuantizeFx::test_static_lstm_consume_tuple <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0005s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8865040Z test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8866290Z test_quantization.py::TestQuantizeFx::test_sub_scalar <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-08-14T21:39:33.8867480Z test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8868790Z test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8870040Z test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8871310Z test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8872590Z test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8873930Z test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8875210Z test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8876450Z test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8877690Z test_quantization.py::TestQuantizeFx::test_view_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8878860Z test_quantization.py::TestQuantizeFxOps::test_add <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8879970Z test_quantization.py::TestQuantizeFxOps::test_add_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8881140Z test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8882350Z test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8883570Z test_quantization.py::TestQuantizeFxOps::test_bmm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-08-14T21:39:33.8884700Z test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8886010Z test_quantization.py::TestQuantizeFxOps::test_boolean_tensor <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8887150Z test_quantization.py::TestQuantizeFxOps::test_cat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8888250Z test_quantization.py::TestQuantizeFxOps::test_chunk <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8889370Z test_quantization.py::TestQuantizeFxOps::test_clamp <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8890560Z test_quantization.py::TestQuantizeFxOps::test_conv_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8891830Z test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8893010Z test_quantization.py::TestQuantizeFxOps::test_conv_transpose_2d <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8894190Z test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8895330Z test_quantization.py::TestQuantizeFxOps::test_div <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8896440Z test_quantization.py::TestQuantizeFxOps::test_elu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8897560Z test_quantization.py::TestQuantizeFxOps::test_embedding <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8898700Z test_quantization.py::TestQuantizeFxOps::test_embedding_bag <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-08-14T21:39:33.8899860Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8901100Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8902290Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_qint8 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8903570Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8904770Z test_quantization.py::TestQuantizeFxOps::test_float_functional <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8905930Z test_quantization.py::TestQuantizeFxOps::test_functional_conv <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8907100Z test_quantization.py::TestQuantizeFxOps::test_functional_linear <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8908320Z test_quantization.py::TestQuantizeFxOps::test_gelu_normal <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8909600Z test_quantization.py::TestQuantizeFxOps::test_gelu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8910770Z test_quantization.py::TestQuantizeFxOps::test_general_shape_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8911940Z test_quantization.py::TestQuantizeFxOps::test_general_value_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8913080Z test_quantization.py::TestQuantizeFxOps::test_getitem <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8914220Z test_quantization.py::TestQuantizeFxOps::test_hardswish <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8915360Z test_quantization.py::TestQuantizeFxOps::test_instance_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-08-14T21:39:33.8916540Z test_quantization.py::TestQuantizeFxOps::test_int8_input_no_unnecessary_fq <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8917830Z test_quantization.py::TestQuantizeFxOps::test_layer_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8918990Z test_quantization.py::TestQuantizeFxOps::test_leaky_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8920150Z test_quantization.py::TestQuantizeFxOps::test_linear_dynamic_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8921380Z test_quantization.py::TestQuantizeFxOps::test_linear_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8922550Z test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8923710Z test_quantization.py::TestQuantizeFxOps::test_mish_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8924850Z test_quantization.py::TestQuantizeFxOps::test_mul <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8926150Z test_quantization.py::TestQuantizeFxOps::test_mul_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8927370Z test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8928550Z test_quantization.py::TestQuantizeFxOps::test_narrow <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8929700Z test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8930850Z test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-08-14T21:39:33.8932020Z test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8933200Z test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8934420Z test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8935670Z test_quantization.py::TestQuantizeFxOps::test_prelu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8936800Z test_quantization.py::TestQuantizeFxOps::test_qbatch_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8937960Z test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8939180Z test_quantization.py::TestQuantizeFxOps::test_qmatmul <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8940340Z test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8941520Z test_quantization.py::TestQuantizeFxOps::test_quantized_conv_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8942700Z test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8944070Z test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8945260Z test_quantization.py::TestQuantizeFxOps::test_reshape_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8946550Z test_quantization.py::TestQuantizeFxOps::test_rnn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-08-14T21:39:33.8947980Z test_quantization.py::TestQuantizeFxOps::test_rnn_cell <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8949280Z test_quantization.py::TestQuantizeFxOps::test_silu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8950430Z test_quantization.py::TestQuantizeFxOps::test_softmax_normal <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8951600Z test_quantization.py::TestQuantizeFxOps::test_softmax_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8952750Z test_quantization.py::TestQuantizeFxOps::test_sub <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8953930Z test_quantization.py::TestQuantizeFxOps::test_sum <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-08-14T21:39:33.8954850Z test_quantization.py::TestQuantizeFxModels::test_model_dropout <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (no torchvision) [ 55%]
2025-08-14T21:39:33.8955730Z test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 55%]
2025-08-14T21:39:33.8956670Z test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0013s] [ 55%]
2025-08-14T21:39:33.8957650Z test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0012s] [ 55%]
2025-08-14T21:39:33.8958630Z test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0026s] [ 55%]
2025-08-14T21:39:33.8959480Z test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (no torchvision) [ 55%]
2025-08-14T21:39:33.8960310Z test_quantization.py::TestQuantizeFxModels::test_resnet_base <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0011s] [ 55%]
2025-08-14T21:39:33.8961230Z test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 55%]
2025-08-14T21:39:33.8962160Z test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 56%]
2025-08-14T21:39:33.8962950Z test_quantization.py::TestQuantizeFxModels::test_torchvision <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (no torchvision) [ 56%]
2025-08-14T21:39:33.8963690Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0098s] [ 56%]
2025-08-14T21:39:33.8964490Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0073s] [ 56%]
2025-08-14T21:39:33.8965290Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0054s] [ 56%]
2025-08-14T21:39:33.8966180Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0052s] [ 56%]
2025-08-14T21:39:33.8967060Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0057s] [ 56%]
2025-08-14T21:39:33.8967860Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0043s] [ 56%]
2025-08-14T21:39:33.8968750Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0050s] [ 56%]
2025-08-14T21:39:33.8969620Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0041s] [ 56%]
2025-08-14T21:39:33.8970440Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0109s] [ 56%]
2025-08-14T21:39:33.8971240Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0041s] [ 56%]
2025-08-14T21:39:33.8972060Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0044s] [ 56%]
2025-08-14T21:39:33.8972890Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0043s] [ 57%]
2025-08-14T21:39:33.8973660Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0133s] [ 57%]
2025-08-14T21:39:33.8974470Z test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0049s] [ 57%]
2025-08-14T21:39:33.8975200Z test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu <- test/quantization/pt2e/test_graph_utils.py PASSED [0.8677s] [ 57%]
2025-08-14T21:39:33.8976020Z test_quantization.py::TestGraphUtils::test_conv_bn_relu <- test/quantization/pt2e/test_graph_utils.py W0814 21:32:36.747000 67501 torch/fx/experimental/symbolic_shapes.py:3140] Failed to reduce inequalities: 1/2
2025-08-14T21:39:33.8976600Z PASSED [0.5875s] [ 57%]
2025-08-14T21:39:33.8977210Z test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict <- test/quantization/pt2e/test_graph_utils.py W0814 21:32:36.832000 67501 torch/fx/experimental/symbolic_shapes.py:3140] Failed to reduce inequalities: 1/2
2025-08-14T21:39:33.8977840Z PASSED [0.0780s] [ 57%]
2025-08-14T21:39:33.8978310Z test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.5986s] [ 57%]
2025-08-14T21:39:33.8979120Z test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.1331s] [ 57%]
2025-08-14T21:39:33.8979830Z test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.5842s] [ 57%]
2025-08-14T21:39:33.8980510Z test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.1372s] [ 57%]
2025-08-14T21:39:33.8981270Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq <- test/quantization/pt2e/test_metadata_porting.py SKIPPED [0.0003s] (Temporarily disabled) [ 57%]
2025-08-14T21:39:33.8982060Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.0499s] [ 57%]
2025-08-14T21:39:33.8982810Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.0518s] [ 57%]
2025-08-14T21:39:33.8983570Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.5256s] [ 57%]
2025-08-14T21:39:33.8984300Z test_quantization.py::TestMetaDataPorting::test_no_metadata_porting <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.6757s] [ 58%]
2025-08-14T21:39:33.8985040Z test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.5345s] [ 58%]
2025-08-14T21:39:33.8985790Z test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.6593s] [ 58%]
2025-08-14T21:39:33.8986510Z test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.5105s] [ 58%]
2025-08-14T21:39:33.8987260Z test_quantization.py::TestNumericDebugger::test_control_flow <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.7360s] [ 58%]
2025-08-14T21:39:33.8987940Z test_quantization.py::TestNumericDebugger::test_copy_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0243s] [ 58%]
2025-08-14T21:39:33.8988650Z test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0229s] [ 58%]
2025-08-14T21:39:33.8989380Z test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.1722s] [ 58%]
2025-08-14T21:39:33.8990180Z test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.4862s] [ 58%]
2025-08-14T21:39:33.8990960Z test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0330s] [ 58%]
2025-08-14T21:39:33.8991720Z test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.1814s] [ 58%]
2025-08-14T21:39:33.8993160Z test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144898 for platform(s) mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 58%]
2025-08-14T21:39:33.8995410Z test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144933 for platform(s) mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 58%]
2025-08-14T21:39:33.8997590Z test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144963 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-08-14T21:39:33.8999670Z test_quantization.py::TestNumericDebugger::test_simple <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142470 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-08-14T21:39:33.9001050Z test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [13.2295s] [ 59%]
2025-08-14T21:39:33.9001790Z test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2366s] [ 59%]
2025-08-14T21:39:33.9003200Z test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing <- test/quantization/pt2e/test_quantize_pt2e.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144988 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-08-14T21:39:33.9005320Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv <- test/quantization/pt2e/test_quantize_pt2e.py [W814 21:32:56.350722000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9007100Z [W814 21:32:56.350761000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9008590Z [W814 21:32:56.350781000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9010040Z [W814 21:32:56.350790000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9011490Z [W814 21:32:56.350799000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9013040Z [W814 21:32:56.350807000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9014510Z [W814 21:32:56.350814000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9015960Z [W814 21:32:56.350820000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9017410Z [W814 21:32:56.350865000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9018860Z [W814 21:32:56.350876000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9025060Z [W814 21:32:56.350882000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9026640Z [W814 21:32:56.350887000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9028090Z [W814 21:32:56.350898000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9029590Z [W814 21:32:56.350908000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9031040Z [W814 21:32:56.350935000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9032490Z [W814 21:32:56.350945000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-08-14T21:39:33.9033300Z PASSED [0.5097s] [ 59%]
2025-08-14T21:39:33.9033780Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0325s] [ 59%]
2025-08-14T21:39:33.9034680Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4135s] [ 59%]
2025-08-14T21:39:33.9035440Z test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3345s] [ 59%]
2025-08-14T21:39:33.9036130Z test_quantization.py::TestQuantizePT2E::test_conv_padding_bn_relu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.9265s] [ 59%]
2025-08-14T21:39:33.9036800Z test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0424s] [ 59%]
2025-08-14T21:39:33.9037450Z test_quantization.py::TestQuantizePT2E::test_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0290s] [ 59%]
2025-08-14T21:39:33.9038110Z test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0292s] [ 59%]
2025-08-14T21:39:33.9038790Z test_quantization.py::TestQuantizePT2E::test_disallow_eval_train <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [5.3796s] [ 60%]
2025-08-14T21:39:33.9039450Z test_quantization.py::TestQuantizePT2E::test_dont_fold_other_constant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3569s] [ 60%]
2025-08-14T21:39:33.9040160Z test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [1.0465s] [ 60%]
2025-08-14T21:39:33.9040870Z test_quantization.py::TestQuantizePT2E::test_embedding_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.8785s] [ 60%]
2025-08-14T21:39:33.9041570Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4478s] [ 60%]
2025-08-14T21:39:33.9042270Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0219s] [ 60%]
2025-08-14T21:39:33.9042990Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0187s] [ 60%]
2025-08-14T21:39:33.9043670Z test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3339s] [ 60%]
2025-08-14T21:39:33.9044330Z test_quantization.py::TestQuantizePT2E::test_fold_quantize <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.7822s] [ 60%]
2025-08-14T21:39:33.9044990Z test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3544s] [ 60%]
2025-08-14T21:39:33.9045720Z test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4567s] [ 60%]
2025-08-14T21:39:33.9046400Z test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4687s] [ 60%]
2025-08-14T21:39:33.9047070Z test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4618s] [ 60%]
2025-08-14T21:39:33.9047720Z test_quantization.py::TestQuantizePT2E::test_model_is_exported <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0379s] [ 60%]
2025-08-14T21:39:33.9048400Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2657s] [ 61%]
2025-08-14T21:39:33.9049110Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4851s] [ 61%]
2025-08-14T21:39:33.9049820Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2683s] [ 61%]
2025-08-14T21:39:33.9050590Z test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0786s] [ 61%]
2025-08-14T21:39:33.9051370Z test_quantization.py::TestQuantizePT2E::test_observer_callback <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4570s] [ 61%]
2025-08-14T21:39:33.9052040Z test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4602s] [ 61%]
2025-08-14T21:39:33.9052720Z test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [1.4224s] [ 61%]
2025-08-14T21:39:33.9053440Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0303s] [ 61%]
2025-08-14T21:39:33.9054200Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e5m2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0345s] [ 61%]
2025-08-14T21:39:33.9054960Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0327s] [ 61%]
2025-08-14T21:39:33.9055710Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0292s] [ 61%]
2025-08-14T21:39:33.9056470Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0224s] [ 61%]
2025-08-14T21:39:33.9057210Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0290s] [ 61%]
2025-08-14T21:39:33.9057880Z test_quantization.py::TestQuantizePT2E::test_reentrant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [6.3501s] [ 62%]
2025-08-14T21:39:33.9058910Z test_quantization.py::TestQuantizePT2E::test_save_load <- test/quantization/pt2e/test_quantize_pt2e.py W0814 21:33:20.257000 67501 torch/export/pt2_archive/_package.py:405] Expect archive file to be a file ending in .pt2, or is a buffer. Instead got {/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp47bhfb4d}
2025-08-14T21:39:33.9060160Z W0814 21:33:20.263000 67501 torch/export/pt2_archive/_package.py:582] Unable to load package. f must be a buffer or a file ending in .pt2. Instead got {/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmp47bhfb4d}
2025-08-14T21:39:33.9060710Z PASSED [0.4463s] [ 62%]
2025-08-14T21:39:33.9061100Z test_quantization.py::TestQuantizePT2E::test_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.6307s] [ 62%]
2025-08-14T21:39:33.9061760Z test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4885s] [ 62%]
2025-08-14T21:39:33.9062520Z test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0475s] [ 62%]
2025-08-14T21:39:33.9063210Z test_quantization.py::TestQuantizePT2E::test_simple_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0318s] [ 62%]
2025-08-14T21:39:33.9063840Z test_quantization.py::TestQuantizePT2E::test_speed <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0309s] [ 62%]
2025-08-14T21:39:33.9064480Z test_quantization.py::TestQuantizePT2E::test_transform_for_annotation <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0184s] [ 62%]
2025-08-14T21:39:33.9065180Z test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0253s] [ 62%]
2025-08-14T21:39:33.9065950Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4824s] [ 62%]
2025-08-14T21:39:33.9066800Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0311s] [ 62%]
2025-08-14T21:39:33.9067700Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0246s] [ 62%]
2025-08-14T21:39:33.9068570Z test_quantization.py::TestPT2ERepresentation::test_add <- test/quantization/pt2e/test_representation.py PASSED [4.8238s] [ 62%]
2025-08-14T21:39:33.9069230Z test_quantization.py::TestPT2ERepresentation::test_add_relu <- test/quantization/pt2e/test_representation.py PASSED [1.0911s] [ 63%]
2025-08-14T21:39:33.9069880Z test_quantization.py::TestPT2ERepresentation::test_conv2d <- test/quantization/pt2e/test_representation.py PASSED [1.4005s] [ 63%]
2025-08-14T21:39:33.9070540Z test_quantization.py::TestPT2ERepresentation::test_dynamic_linear <- test/quantization/pt2e/test_representation.py PASSED [1.5689s] [ 63%]
2025-08-14T21:39:33.9071210Z test_quantization.py::TestPT2ERepresentation::test_maxpool2d <- test/quantization/pt2e/test_representation.py PASSED [1.7235s] [ 63%]
2025-08-14T21:39:33.9071860Z test_quantization.py::TestPT2ERepresentation::test_qdq <- test/quantization/pt2e/test_representation.py PASSED [1.0079s] [ 63%]
2025-08-14T21:39:33.9072520Z test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel <- test/quantization/pt2e/test_representation.py PASSED [6.4688s] [ 63%]
2025-08-14T21:39:33.9073200Z test_quantization.py::TestPT2ERepresentation::test_static_linear <- test/quantization/pt2e/test_representation.py PASSED [1.1069s] [ 63%]
2025-08-14T21:39:33.9073890Z test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0660s] [ 63%]
2025-08-14T21:39:33.9074570Z test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0305s] [ 63%]
2025-08-14T21:39:33.9075240Z test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1130s] [ 63%]
2025-08-14T21:39:33.9075920Z test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0378s] [ 63%]
2025-08-14T21:39:33.9076630Z test_quantization.py::TestXNNPACKQuantizer::test_conv1d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1399s] [ 63%]
2025-08-14T21:39:33.9077300Z test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1603s] [ 63%]
2025-08-14T21:39:33.9077970Z test_quantization.py::TestXNNPACKQuantizer::test_conv2d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0605s] [ 63%]
2025-08-14T21:39:33.9078630Z test_quantization.py::TestXNNPACKQuantizer::test_conv_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.6611s] [ 64%]
2025-08-14T21:39:33.9079360Z test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.3077s] [ 64%]
2025-08-14T21:39:33.9080060Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.8019s] [ 64%]
2025-08-14T21:39:33.9080770Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1750s] [ 64%]
2025-08-14T21:39:33.9081500Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0868s] [ 64%]
2025-08-14T21:39:33.9082870Z test_quantization.py::TestXNNPACKQuantizer::test_gru <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158116 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 64%]
2025-08-14T21:39:33.9084200Z test_quantization.py::TestXNNPACKQuantizer::test_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.1329s] [ 64%]
2025-08-14T21:39:33.9085600Z test_quantization.py::TestXNNPACKQuantizer::test_linear_gru <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158332 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 64%]
2025-08-14T21:39:33.9086930Z test_quantization.py::TestXNNPACKQuantizer::test_linear_relu <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.7377s] [ 64%]
2025-08-14T21:39:33.9087630Z test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.0229s] [ 64%]
2025-08-14T21:39:33.9088350Z test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0660s] [ 64%]
2025-08-14T21:39:33.9089040Z test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0186s] [ 64%]
2025-08-14T21:39:33.9089710Z test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1177s] [ 64%]
2025-08-14T21:39:33.9090410Z test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1254s] [ 65%]
2025-08-14T21:39:33.9091110Z test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.4142s] [ 65%]
2025-08-14T21:39:33.9091790Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_name <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1195s] [ 65%]
2025-08-14T21:39:33.9092520Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0263s] [ 65%]
2025-08-14T21:39:33.9093280Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_type <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1137s] [ 65%]
2025-08-14T21:39:33.9093970Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2 <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.7042s] [ 65%]
2025-08-14T21:39:33.9094720Z test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18 <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0002s] (no torchvision) [ 65%]
2025-08-14T21:39:33.9095600Z test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0011s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9096600Z test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9097530Z test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9098440Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0016s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9099360Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9100310Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9101270Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 65%]
2025-08-14T21:39:33.9102250Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9103170Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9104090Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9105050Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9105980Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9106900Z test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9107840Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9108770Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9109730Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9110670Z test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9111620Z test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0025s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9112520Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0021s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9113460Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 66%]
2025-08-14T21:39:33.9114370Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9115300Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0012s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9116250Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9117180Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9118110Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9119110Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9120180Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9121160Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9122120Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9123070Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9123980Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9124910Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9125850Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-08-14T21:39:33.9126790Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0012s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9127700Z test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9128680Z test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0018s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9129590Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9130490Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0014s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9131470Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9132400Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9133390Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0003s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%]
2025-08-14T21:39:33.9134400Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9135380Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9136430Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0013s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9137620Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9138640Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9139640Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-08-14T21:39:33.9140680Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 69%]
2025-08-14T21:39:33.9141700Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 69%]
2025-08-14T21:39:33.9142570Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.4533s] [ 69%]
2025-08-14T21:39:33.9143310Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.6227s] [ 69%]
2025-08-14T21:39:33.9144080Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.4684s] [ 69%]
2025-08-14T21:39:33.9144840Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [16.2962s] [ 69%]
2025-08-14T21:39:33.9145680Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0002s] (CUDA unavailable) [ 69%]
2025-08-14T21:39:33.9146490Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [15.5873s] [ 69%]
2025-08-14T21:39:33.9147280Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [28.8787s] [ 69%]
2025-08-14T21:39:33.9148070Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.6680s] [ 69%]
2025-08-14T21:39:33.9148880Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [14.6873s] [ 69%]
2025-08-14T21:39:33.9149690Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0002s] (CUDA unavailable) [ 69%]
2025-08-14T21:39:33.9150520Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [15.6335s] [ 69%]
2025-08-14T21:39:33.9151280Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [3.1456s] [ 70%]
2025-08-14T21:39:33.9152020Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [13.5224s] [ 70%]
2025-08-14T21:39:33.9152780Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.8115s] [ 70%]
2025-08-14T21:39:33.9153570Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [1.6024s] [ 70%]
2025-08-14T21:39:33.9154460Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.0058s] [ 70%]
2025-08-14T21:39:33.9155250Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.7554s] [ 70%]
2025-08-14T21:39:33.9156020Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [12.2491s] [ 70%]
2025-08-14T21:39:33.9156770Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.4262s] [ 70%]
2025-08-14T21:39:33.9157510Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.8290s] [ 70%]
2025-08-14T21:39:33.9158270Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.9303s] [ 70%]
2025-08-14T21:39:33.9159020Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [17.4865s] [ 70%]
2025-08-14T21:39:33.9159800Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (CUDA unavailable) [ 70%]
2025-08-14T21:39:33.9160610Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [16.6532s] [ 70%]
2025-08-14T21:39:33.9161390Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [29.9071s] [ 71%]
2025-08-14T21:39:33.9162180Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.2539s] [ 71%]
2025-08-14T21:39:33.9163010Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [14.8281s] [ 71%]
2025-08-14T21:39:33.9163810Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0002s] (CUDA unavailable) [ 71%]
2025-08-14T21:39:33.9164640Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [14.2927s] [ 71%]
2025-08-14T21:39:33.9165460Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [3.0413s] [ 71%]
2025-08-14T21:39:33.9166190Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.6763s] [ 71%]
2025-08-14T21:39:33.9166940Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [10.7407s] [ 71%]
2025-08-14T21:39:33.9167700Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [1.4940s] [ 71%]
2025-08-14T21:39:33.9168470Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.5006s] [ 71%]
2025-08-14T21:39:33.9169250Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [6.3364s] [ 71%]
2025-08-14T21:39:33.9170060Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.2320s] [ 71%]
2025-08-14T21:39:33.9170940Z test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2 <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (no torchvision) [ 71%]
2025-08-14T21:39:33.9171730Z test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18 <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (no torchvision) [ 71%]
2025-08-14T21:39:33.9172730Z test_quantization.py::TestFXGraphMatcher::test_dict_return_type <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9173970Z test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9175210Z test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9176140Z test_quantization.py::TestFXGraphMatcher::test_methods <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0339s] [ 72%]
2025-08-14T21:39:33.9177050Z test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9178290Z test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9179270Z test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0040s] [ 72%]
2025-08-14T21:39:33.9180260Z test_quantization.py::TestFXGraphMatcher::test_results_order <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9181430Z test_quantization.py::TestFXGraphMatcher::test_simple_fun <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9182640Z test_quantization.py::TestFXGraphMatcher::test_simple_fusion <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9183810Z test_quantization.py::TestFXGraphMatcher::test_simple_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9184990Z test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9186170Z test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-08-14T21:39:33.9187420Z test_quantization.py::TestFXGraphMatcher::test_user_defined_function <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9188500Z test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 73%]
2025-08-14T21:39:33.9189280Z test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 73%]
2025-08-14T21:39:33.9190060Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 73%]
2025-08-14T21:39:33.9191110Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9192170Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 73%]
2025-08-14T21:39:33.9193230Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9194500Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9195780Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9197130Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9198400Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9199710Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9201080Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9202370Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-08-14T21:39:33.9202740Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 74%]
2025-08-14T21:39:33.9203390Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0020s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9204090Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9204720Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9205340Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9205950Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9206560Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9206890Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32 <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0383s] [ 74%]
2025-08-14T21:39:33.9207510Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9208110Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9208750Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9209350Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9209960Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-08-14T21:39:33.9210570Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9211190Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9211860Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9212550Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9212900Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0297s] [ 75%]
2025-08-14T21:39:33.9213520Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9214110Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9214720Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9215330Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9215940Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0028s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9216560Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9217200Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9217810Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-08-14T21:39:33.9218230Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.4742s] [ 76%]
2025-08-14T21:39:33.9218550Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0043s] [ 76%]
2025-08-14T21:39:33.9219190Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9219550Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.1322s] [ 76%]
2025-08-14T21:39:33.9220190Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9220890Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9221540Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9221920Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.1960s] [ 76%]
2025-08-14T21:39:33.9222520Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9223100Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9223710Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-08-14T21:39:33.9224750Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158762 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-08-14T21:39:33.9225830Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/127814 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-08-14T21:39:33.9226840Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/140380 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-08-14T21:39:33.9227890Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159036 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9228960Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142860 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9230040Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159152 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9231080Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142172 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9231470Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 77%]
2025-08-14T21:39:33.9232440Z test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159470 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9233450Z test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160346 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9234530Z test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160446 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9235490Z test_quantization.py::TestFXNumericSuiteNShadows::test_functions <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160620 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-08-14T21:39:33.9235900Z test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod <- test/quantization/fx/test_numeric_suite_fx.py ('RERUN', {'yellow': True}) [0.0177s] [ 77%]
2025-08-14T21:39:33.9236210Z test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0162s] [ 77%]
2025-08-14T21:39:33.9236900Z test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod <- test/quantization/fx/test_numeric_suite_fx.py [W814 21:39:27.715253000 qlinear_dynamic.cpp:251] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2025-08-14T21:39:33.9237290Z [W814 21:39:27.715434000 qlinear_dynamic.cpp:251] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2025-08-14T21:39:33.9237370Z PASSED [0.0463s] [ 77%]
2025-08-14T21:39:33.9237840Z test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0225s] [ 77%]
2025-08-14T21:39:33.9238210Z test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 77%]
2025-08-14T21:39:33.9238560Z test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0179s] [ 78%]
2025-08-14T21:39:33.9238930Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0009s] [ 78%]
2025-08-14T21:39:33.9239280Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0354s] [ 78%]
2025-08-14T21:39:33.9239640Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0356s] [ 78%]
2025-08-14T21:39:33.9240010Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0012s] [ 78%]
2025-08-14T21:39:33.9240360Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0454s] [ 78%]
2025-08-14T21:39:33.9240710Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0010s] [ 78%]
2025-08-14T21:39:33.9241090Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0009s] [ 78%]
2025-08-14T21:39:33.9241730Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9242400Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9243060Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9243730Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9244390Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0011s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9245050Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-08-14T21:39:33.9245700Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9246400Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9247050Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9247420Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 79%]
2025-08-14T21:39:33.9247780Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 79%]
2025-08-14T21:39:33.9248430Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9249040Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9249380Z test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered <- test/quantization/fx/test_model_report_fx.py PASSED [0.0120s] [ 79%]
2025-08-14T21:39:33.9250000Z test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-08-14T21:39:33.9250400Z test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel <- test/quantization/fx/test_model_report_fx.py PASSED [0.0098s] [ 79%]
2025-08-14T21:39:33.9250740Z test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options <- test/quantization/fx/test_model_report_fx.py PASSED [0.0116s] [ 79%]
2025-08-14T21:39:33.9251070Z test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example <- test/quantization/fx/test_model_report_fx.py PASSED [0.0051s] [ 79%]
2025-08-14T21:39:33.9251400Z test_quantization.py::TestFxModelReportDetector::test_sequential_model_format <- test/quantization/fx/test_model_report_fx.py PASSED [0.0139s] [ 79%]
2025-08-14T21:39:33.9252020Z test_quantization.py::TestFxModelReportDetector::test_simple_conv <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9252350Z test_quantization.py::TestFxModelReportObserver::test_observer_after_relu <- test/quantization/fx/test_model_report_fx.py PASSED [0.0070s] [ 80%]
2025-08-14T21:39:33.9252680Z test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches <- test/quantization/fx/test_model_report_fx.py PASSED [0.0430s] [ 80%]
2025-08-14T21:39:33.9253000Z test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones <- test/quantization/fx/test_model_report_fx.py PASSED [0.0018s] [ 80%]
2025-08-14T21:39:33.9253320Z test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors <- test/quantization/fx/test_model_report_fx.py PASSED [0.0044s] [ 80%]
2025-08-14T21:39:33.9253990Z test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9254620Z test_quantization.py::TestFxModelReportClass::test_constructor <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9255240Z test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9255820Z test_quantization.py::TestFxModelReportClass::test_generate_report <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9256400Z test_quantization.py::TestFxModelReportClass::test_generate_visualizer <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9257010Z test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9257610Z test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9258290Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-08-14T21:39:33.9258980Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9259660Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9264910Z test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9265590Z test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9266170Z test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9266780Z test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9267500Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9268190Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9268820Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9269430Z test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9269720Z test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer <- test/quantization/fx/test_equalize_fx.py PASSED [0.0805s] [ 81%]
2025-08-14T21:39:33.9270060Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values <- test/quantization/fx/test_equalize_fx.py PASSED [0.0270s] [ 81%]
2025-08-14T21:39:33.9270380Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching <- test/quantization/fx/test_equalize_fx.py PASSED [0.0164s] [ 81%]
2025-08-14T21:39:33.9270970Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-08-14T21:39:33.9271310Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales <- test/quantization/fx/test_equalize_fx.py PASSED [0.0357s] [ 82%]
2025-08-14T21:39:33.9271940Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-08-14T21:39:33.9272250Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare <- test/quantization/fx/test_equalize_fx.py PASSED [0.1256s] [ 82%]
2025-08-14T21:39:33.9272830Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-08-14T21:39:33.9273190Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias <- test/quantization/fx/test_equalize_fx.py PASSED [0.0365s] [ 82%]
2025-08-14T21:39:33.9273750Z test_quantization.py::TestEqualizeFx::test_selective_equalization <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0011s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-08-14T21:39:33.9274160Z test_quantization.py::TestSerialization::test_conv2d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 82%]
2025-08-14T21:39:33.9274590Z test_quantization.py::TestSerialization::test_conv2d_graph <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 82%]
2025-08-14T21:39:33.9275010Z test_quantization.py::TestSerialization::test_conv2d_graph_v2 <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 82%]
2025-08-14T21:39:33.9275450Z test_quantization.py::TestSerialization::test_conv2d_graph_v3 <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 82%]
2025-08-14T21:39:33.9275930Z test_quantization.py::TestSerialization::test_conv2d_nobias <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 82%]
2025-08-14T21:39:33.9276360Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-08-14T21:39:33.9276800Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2 <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 82%]
2025-08-14T21:39:33.9277230Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3 <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9277640Z test_quantization.py::TestSerialization::test_conv2d_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9278050Z test_quantization.py::TestSerialization::test_conv3d <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9278460Z test_quantization.py::TestSerialization::test_conv3d_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9278780Z test_quantization.py::TestSerialization::test_default_qat_qconfig <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0082s] [ 83%]
2025-08-14T21:39:33.9279180Z test_quantization.py::TestSerialization::test_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 83%]
2025-08-14T21:39:33.9279600Z test_quantization.py::TestSerialization::test_linear_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9280040Z test_quantization.py::TestSerialization::test_linear_relu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9280710Z test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms <- test/quantization/bc/test_backward_compatibility.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 83%]
2025-08-14T21:39:33.9281130Z test_quantization.py::TestSerialization::test_lstm <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-08-14T21:39:33.9281450Z test_quantization.py::TestSerialization::test_per_channel_observer <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0035s] [ 83%]
2025-08-14T21:39:33.9281770Z test_quantization.py::TestSerialization::test_per_tensor_observer <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0034s] [ 83%]
2025-08-14T21:39:33.9282170Z test_quantization.py::TestQuantizeJit::test_conv <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 83%]
2025-08-14T21:39:33.9282570Z test_quantization.py::TestQuantizeJit::test_conv_bn <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 84%]
2025-08-14T21:39:33.9282990Z test_quantization.py::TestQuantizeJit::test_conv_transpose <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [ 84%]
2025-08-14T21:39:33.9283630Z test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 84%]
2025-08-14T21:39:33.9284040Z test_quantization.py::TestQuantizeJit::test_nested <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0010s] [ 84%]
2025-08-14T21:39:33.9284630Z test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 84%]
2025-08-14T21:39:33.9285050Z test_quantization.py::TestQuantizeJit::test_single_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 84%]
2025-08-14T21:39:33.9285490Z test_quantization.py::TestQuantizeJit::test_single_linear_dynamic <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-08-14T21:39:33.9285900Z test_quantization.py::TestQuantizeJit::test_skip_quant <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-08-14T21:39:33.9286190Z test_quantization.py::TestQuantizeJitPasses::test_conv_trace <- test/quantization/jit/test_quantize_jit.py PASSED [0.0301s] [ 84%]
2025-08-14T21:39:33.9286500Z test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace <- test/quantization/jit/test_quantize_jit.py PASSED [0.0291s] [ 84%]
2025-08-14T21:39:33.9286810Z test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses <- test/quantization/jit/test_quantize_jit.py PASSED [0.0043s] [ 84%]
2025-08-14T21:39:33.9287100Z test_quantization.py::TestQuantizeJitPasses::test_finalize_debug <- test/quantization/jit/test_quantize_jit.py PASSED [0.0273s] [ 84%]
2025-08-14T21:39:33.9287410Z test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0250s] [ 84%]
2025-08-14T21:39:33.9287750Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases <- test/quantization/jit/test_quantize_jit.py PASSED [0.4813s] [ 84%]
2025-08-14T21:39:33.9288060Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule <- test/quantization/jit/test_quantize_jit.py PASSED [0.0375s] [ 85%]
2025-08-14T21:39:33.9288350Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion <- test/quantization/jit/test_quantize_jit.py PASSED [0.0037s] [ 85%]
2025-08-14T21:39:33.9288670Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype <- test/quantization/jit/test_quantize_jit.py PASSED [0.1117s] [ 85%]
2025-08-14T21:39:33.9289000Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial <- test/quantization/jit/test_quantize_jit.py PASSED [0.0311s] [ 85%]
2025-08-14T21:39:33.9289320Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias <- test/quantization/jit/test_quantize_jit.py PASSED [0.0312s] [ 85%]
2025-08-14T21:39:33.9289610Z test_quantization.py::TestQuantizeJitPasses::test_fuse_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0199s] [ 85%]
2025-08-14T21:39:33.9289910Z test_quantization.py::TestQuantizeJitPasses::test_inplace_option <- test/quantization/jit/test_quantize_jit.py PASSED [0.0527s] [ 85%]
2025-08-14T21:39:33.9290200Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers <- test/quantization/jit/test_quantize_jit.py PASSED [0.0155s] [ 85%]
2025-08-14T21:39:33.9290540Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig <- test/quantization/jit/test_quantize_jit.py PASSED [0.0170s] [ 85%]
2025-08-14T21:39:33.9290880Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.0143s] [ 85%]
2025-08-14T21:39:33.9291220Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if <- test/quantization/jit/test_quantize_jit.py PASSED [0.0499s] [ 85%]
2025-08-14T21:39:33.9291650Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation <- test/quantization/jit/test_quantize_jit.py PASSED [0.1312s] [ 85%]
2025-08-14T21:39:33.9291980Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if <- test/quantization/jit/test_quantize_jit.py PASSED [0.0495s] [ 85%]
2025-08-14T21:39:33.9292320Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight <- test/quantization/jit/test_quantize_jit.py PASSED [0.0127s] [ 86%]
2025-08-14T21:39:33.9292650Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface <- test/quantization/jit/test_quantize_jit.py PASSED [0.0439s] [ 86%]
2025-08-14T21:39:33.9293000Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.9821s] [ 86%]
2025-08-14T21:39:33.9293360Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed <- test/quantization/jit/test_quantize_jit.py PASSED [0.0170s] [ 86%]
2025-08-14T21:39:33.9293740Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function <- test/quantization/jit/test_quantize_jit.py PASSED [0.0176s] [ 86%]
2025-08-14T21:39:33.9294110Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule <- test/quantization/jit/test_quantize_jit.py PASSED [0.0196s] [ 86%]
2025-08-14T21:39:33.9294450Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.0171s] [ 86%]
2025-08-14T21:39:33.9295060Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0001s] ( Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support avx2 or newer.) [ 86%]
2025-08-14T21:39:33.9295430Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype <- test/quantization/jit/test_quantize_jit.py PASSED [0.0145s] [ 86%]
2025-08-14T21:39:33.9295740Z test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant <- test/quantization/jit/test_quantize_jit.py PASSED [0.0496s] [ 86%]
2025-08-14T21:39:33.9296090Z test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.0534s] [ 86%]
2025-08-14T21:39:33.9296400Z test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork <- test/quantization/jit/test_quantize_jit.py PASSED [0.0545s] [ 86%]
2025-08-14T21:39:33.9296710Z test_quantization.py::TestQuantizeJitPasses::test_module_list <- test/quantization/jit/test_quantize_jit.py PASSED [0.0343s] [ 86%]
2025-08-14T21:39:33.9297290Z test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 86%]
2025-08-14T21:39:33.9297900Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0001s] ( Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support avx2 or newer.) [ 87%]
2025-08-14T21:39:33.9298210Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize <- test/quantization/jit/test_quantize_jit.py PASSED [0.0042s] [ 87%]
2025-08-14T21:39:33.9298550Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block <- test/quantization/jit/test_quantize_jit.py PASSED [0.0047s] [ 87%]
2025-08-14T21:39:33.9299130Z test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if <- test/quantization/jit/test_quantize_jit.py [W814 21:39:31.986878000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-08-14T21:39:33.9299460Z [W814 21:39:31.989909000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-08-14T21:39:33.9299730Z [W814 21:39:31.990036000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-08-14T21:39:33.9300000Z [W814 21:39:31.990090000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-08-14T21:39:33.9300050Z PASSED [0.0401s] [ 87%]
2025-08-14T21:39:33.9300380Z test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop <- test/quantization/jit/test_quantize_jit.py PASSED [0.0263s] [ 87%]
2025-08-14T21:39:33.9300690Z test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0035s] [ 87%]
2025-08-14T21:39:33.9301250Z test_quantization.py::TestQuantizeJitOps::test_cat_linear <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-08-14T21:39:33.9301780Z test_quantization.py::TestQuantizeJitOps::test_clamp <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-08-14T21:39:33.9302230Z test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 87%]
2025-08-14T21:39:33.9302810Z test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-08-14T21:39:33.9303250Z test_quantization.py::TestQuantizeJitOps::test_elu <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 87%]
2025-08-14T21:39:33.9303550Z test_quantization.py::TestQuantizeJitOps::test_general_shape_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.0470s] [ 87%]
2025-08-14T21:39:33.9303840Z test_quantization.py::TestQuantizeJitOps::test_general_value_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.1337s] [ 87%]
2025-08-14T21:39:33.9304260Z test_quantization.py::TestQuantizeJitOps::test_group_norm <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 88%]
2025-08-14T21:39:33.9304700Z test_quantization.py::TestQuantizeJitOps::test_hardswish <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 88%]
2025-08-14T21:39:33.9305140Z test_quantization.py::TestQuantizeJitOps::test_instance_norm <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 88%]
2025-08-14T21:39:33.9305550Z test_quantization.py::TestQuantizeJitOps::test_layer_norm <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 88%]
2025-08-14T21:39:33.9306100Z test_quantization.py::TestQuantizeJitOps::test_linear <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9306650Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9307340Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9307940Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9308510Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9309070Z test_quantization.py::TestQuantizeJitOps::test_quantized_add <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9309640Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9310200Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9310780Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-08-14T21:39:33.9311350Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9311960Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9312520Z test_quantization.py::TestQuantizeJitOps::test_quantized_cat <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9313100Z test_quantization.py::TestQuantizeJitOps::test_quantized_conv <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9313670Z test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9314230Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9314790Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9315390Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9316030Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-08-14T21:39:33.9316370Z test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py PASSED [0.0087s] [ 89%]
2025-08-14T21:39:33.9316840Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 89%]
2025-08-14T21:39:33.9317320Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 89%]
2025-08-14T21:39:33.9317810Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 89%]
2025-08-14T21:39:33.9318150Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer <- test/quantization/jit/test_quantize_jit.py PASSED [0.0422s] [ 89%]
2025-08-14T21:39:33.9318610Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 90%]
2025-08-14T21:39:33.9318980Z test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic <- test/quantization/jit/test_quantize_jit.py PASSED [0.0414s] [ 90%]
2025-08-14T21:39:33.9319310Z test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic <- test/quantization/jit/test_quantize_jit.py PASSED [0.0154s] [ 90%]
2025-08-14T21:39:33.9319690Z test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig <- test/quantization/jit/test_quantize_jit.py PASSED [0.0152s] [ 90%]
2025-08-14T21:39:33.9320030Z test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py PASSED [0.0086s] [ 90%]
2025-08-14T21:39:33.9320600Z test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-08-14T21:39:33.9321260Z test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-08-14T21:39:33.9321700Z test_quantization.py::TestQuantizeDynamicJitOps::test_linear <- ../../_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 90%]
2025-08-14T21:39:33.9322010Z test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion <- test/quantization/jit/test_fusion_passes.py PASSED [0.0076s] [ 90%]
2025-08-14T21:39:33.9322640Z test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0285s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-08-14T21:39:33.9323260Z test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-08-14T21:39:33.9323950Z test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-08-14T21:39:33.9324330Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 90%]
2025-08-14T21:39:33.9324700Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9325100Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9325460Z test_quantization.py::TestAOMigrationQuantization::test_function_import_observer <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9325820Z test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9326180Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9326580Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9326940Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9327310Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9327670Z test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9328050Z test_quantization.py::TestAOMigrationQuantization::test_function_import_utils <- test/quantization/ao_migration/test_quantization.py PASSED [0.0015s] [ 91%]
2025-08-14T21:39:33.9328390Z test_quantization.py::TestAOMigrationNNQuantized::test_functional_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9328730Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 91%]
2025-08-14T21:39:33.9329110Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_dynamic_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0008s] [ 91%]
2025-08-14T21:39:33.9329470Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 92%]
2025-08-14T21:39:33.9329820Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 92%]
2025-08-14T21:39:33.9330200Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0015s] [ 92%]
2025-08-14T21:39:33.9330550Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0014s] [ 92%]
2025-08-14T21:39:33.9330930Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 92%]
2025-08-14T21:39:33.9331280Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0014s] [ 92%]
2025-08-14T21:39:33.9331640Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0015s] [ 92%]
2025-08-14T21:39:33.9332030Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0016s] [ 92%]
2025-08-14T21:39:33.9332370Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0015s] [ 92%]
2025-08-14T21:39:33.9332720Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-08-14T21:39:33.9333080Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0014s] [ 92%]
2025-08-14T21:39:33.9333410Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 92%]
2025-08-14T21:39:33.9333750Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0014s] [ 92%]
2025-08-14T21:39:33.9334120Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-08-14T21:39:33.9334450Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0014s] [ 93%]
2025-08-14T21:39:33.9334810Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 93%]
2025-08-14T21:39:33.9335180Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 93%]
2025-08-14T21:39:33.9335570Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9335990Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_conv_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9336370Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9336750Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9337160Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9337540Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 93%]
2025-08-14T21:39:33.9337940Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9338300Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9338710Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-08-14T21:39:33.9339070Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 93%]
2025-08-14T21:39:33.9339480Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0015s] [ 94%]
2025-08-14T21:39:33.9339930Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-08-14T21:39:33.9340300Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-08-14T21:39:33.9340700Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-08-14T21:39:33.9341090Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-08-14T21:39:33.9341480Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-08-14T21:39:33.9341870Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0015s] [ 94%]
2025-08-14T21:39:33.9342250Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0016s] [ 94%]
2025-08-14T21:39:33.9342660Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0016s] [ 94%]
2025-08-14T21:39:33.9343030Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0015s] [ 94%]
2025-08-14T21:39:33.9343410Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0015s] [ 94%]
2025-08-14T21:39:33.9343690Z test_quantization.py::TestBitsCPU::test_cat_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0235s] [ 94%]
2025-08-14T21:39:33.9344000Z test_quantization.py::TestBitsCPU::test_subclass_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0012s] [ 94%]
2025-08-14T21:39:33.9344280Z test_quantization.py::TestBitsCPU::test_types_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0012s] [ 94%]
2025-08-14T21:39:33.9344650Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 95%]
2025-08-14T21:39:33.9345060Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 95%]
2025-08-14T21:39:33.9345420Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-08-14T21:39:33.9345800Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 95%]
2025-08-14T21:39:33.9346170Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 95%]
2025-08-14T21:39:33.9346530Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 95%]
2025-08-14T21:39:33.9346890Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0013s] [ 95%]
2025-08-14T21:39:33.9347240Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0054s] [ 95%]
2025-08-14T21:39:33.9347620Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0052s] [ 95%]
2025-08-14T21:39:33.9348040Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-08-14T21:39:33.9348400Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0019s] [ 95%]
2025-08-14T21:39:33.9348770Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0017s] [ 95%]
2025-08-14T21:39:33.9349120Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0016s] [ 95%]
2025-08-14T21:39:33.9349500Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0016s] [ 96%]
2025-08-14T21:39:33.9349860Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9350230Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 96%]
2025-08-14T21:39:33.9350610Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 96%]
2025-08-14T21:39:33.9350980Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 96%]
2025-08-14T21:39:33.9351360Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 96%]
2025-08-14T21:39:33.9351790Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-08-14T21:39:33.9352120Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9352440Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9352760Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9353140Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9353470Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-08-14T21:39:33.9353830Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-08-14T21:39:33.9354240Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9354590Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9354960Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9355370Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9355790Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9356120Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9356440Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9356780Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9357110Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9357430Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 97%]
2025-08-14T21:39:33.9357770Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9358090Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9358420Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-08-14T21:39:33.9358750Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-08-14T21:39:33.9359100Z test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0396s] [ 98%]
2025-08-14T21:39:33.9359440Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0029s] [ 98%]
2025-08-14T21:39:33.9359810Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0023s] [ 98%]
2025-08-14T21:39:33.9360130Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0021s] [ 98%]
2025-08-14T21:39:33.9360480Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0022s] [ 98%]
2025-08-14T21:39:33.9360830Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0021s] [ 98%]
2025-08-14T21:39:33.9361190Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0011s] [ 98%]
2025-08-14T21:39:33.9361550Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 98%]
2025-08-14T21:39:33.9361890Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0011s] [ 98%]
2025-08-14T21:39:33.9362250Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 98%]
2025-08-14T21:39:33.9362610Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 98%]
2025-08-14T21:39:33.9362960Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 98%]
2025-08-14T21:39:33.9363360Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 98%]
2025-08-14T21:39:33.9363690Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-08-14T21:39:33.9364030Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 99%]
2025-08-14T21:39:33.9364370Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 99%]
2025-08-14T21:39:33.9364740Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 99%]
2025-08-14T21:39:33.9365110Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-08-14T21:39:33.9365470Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-08-14T21:39:33.9365840Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-08-14T21:39:33.9366210Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-08-14T21:39:33.9366560Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 99%]
2025-08-14T21:39:33.9366890Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-08-14T21:39:33.9367240Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 99%]
2025-08-14T21:39:33.9367680Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0447s] [ 99%]
2025-08-14T21:39:33.9368070Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0291s] [ 99%]
2025-08-14T21:39:33.9368460Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [100%]
2025-08-14T21:39:33.9368500Z 
2025-08-14T21:39:33.9368600Z ==================================== RERUNS ====================================
2025-08-14T21:39:33.9368750Z __________________ TestFXNumericSuiteNShadows.test_linear_mod __________________
2025-08-14T21:39:33.9368820Z Traceback (most recent call last):
2025-08-14T21:39:33.9369170Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py", line 3224, in wrapper
2025-08-14T21:39:33.9369230Z     method(*args, **kwargs)
2025-08-14T21:39:33.9369590Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py", line 416, in wrapper
2025-08-14T21:39:33.9369670Z     with override_quantized_engine("qnnpack"):
2025-08-14T21:39:33.9369730Z          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-08-14T21:39:33.9370060Z   File "/opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py", line 144, in __exit__
2025-08-14T21:39:33.9370110Z     next(self.gen)
2025-08-14T21:39:33.9370540Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py", line 151, in override_quantized_engine
2025-08-14T21:39:33.9370630Z     torch.backends.quantized.engine = previous
2025-08-14T21:39:33.9370780Z     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-08-14T21:39:33.9371120Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/backends/quantized/__init__.py", line 37, in __set__
2025-08-14T21:39:33.9371200Z     torch._C._set_qengine(_get_qengine_id(val))
2025-08-14T21:39:33.9371310Z RuntimeError: quantized engine NoQEngine is not supported
2025-08-14T21:39:33.9371320Z 
2025-08-14T21:39:33.9371440Z To execute this test, run the following from the base repo dir:
2025-08-14T21:39:33.9371660Z     python test/quantization/fx/test_numeric_suite_fx.py TestFXNumericSuiteNShadows.test_linear_mod
2025-08-14T21:39:33.9371660Z 
2025-08-14T21:39:33.9371820Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-08-14T21:39:33.9371950Z ----------------------------- Captured stdout call -----------------------------
2025-08-14T21:39:33.9372250Z `print_tabular` relies on the library `tabulate`, which could not be found on this machine. Run `pip install tabulate` to install the library.
2025-08-14T21:39:33.9372620Z - generated xml file: /Users/ec2-user/runner/_work/pytorch/pytorch/test/test-reports/python-pytest/test_quantization/test_quantization-6f4bc8a1035de921.xml -
2025-08-14T21:39:33.9372750Z ============ 725 passed, 613 skipped, 1 rerun in 460.86s (0:07:40) =============
2025-08-14T21:39:33.9372750Z 
2025-08-14T21:39:33.9372990Z FINISHED PRINTING LOG FILE of test_quantization 1/1 (test/test-reports/test_quantization_1.1_638384512e64b4d9_.log)
2025-08-14T21:39:33.9372990Z 
2025-08-14T21:39:36.0021440Z Running test_jiterator 1/1 ... [2025-08-14 21:39:36.001887]
2025-08-14T21:39:36.0022840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:39:36.0025030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_jiterator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:36.002236]
2025-08-14T21:39:38.1443170Z 
2025-08-14T21:39:38.1444040Z test_jiterator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jiterator_1.1_183c4e708a7642e9_.log
2025-08-14T21:39:38.1445060Z Running 0 items in this shard:
2025-08-14T21:39:38.1445190Z 
2025-08-14T21:39:40.3228520Z Running test_decomp 3/4 ... [2025-08-14 21:39:40.322668]
2025-08-14T21:39:40.3229240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:39:40.3231440Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=3', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:39:40.322953]
2025-08-14T21:43:05.5212250Z 
2025-08-14T21:43:05.5213300Z test_nestedtensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.2_0f9ec48a0f448385_.log
2025-08-14T21:43:05.5437370Z Running 783 items in this shard: test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_cat, test/test_nestedtensor.py::TestNestedTensor::test_copy_, test/test_nestedtensor.py::TestNestedTensor::test_is_contiguous, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_randn_like, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_zeros_like, test/test_nestedtensor.py::TestNestedTensor::test_nested_tensor, test/test_nestedtensor.py::TestNestedTensor::test_size_dim, test/test_nestedtensor.py::TestNestedTensor::test_unbind_3, test/test_nestedtensor.py::TestNestedTensor::test_unbind_4, test/test_nestedtensor.py::TestNestedInt::test_comparisons, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_binary_ops_with_scalar_ge_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cpu_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_contiguous_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_device_checks_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_jagged_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_jagged_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_embedding_jagged_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_embedding_strided_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_linear_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_masked_fill_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_masked_fill_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_nt_with_broadcasted_t_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_nt_with_broadcasted_t_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_with_bmm_path_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_with_bmm_path_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_in_place_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_in_place_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_transpose_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_256_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_384_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_8_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_div_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_mul_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_split_with_sizes_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_sub_transpose_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_sum_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_reshape_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_reshape_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_scaled_dot_product_attention_input_dim_3_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_False_weights_only_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_True_weights_only_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_serialization_requires_grad_True_weights_only_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_softmax_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_squeeze_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim2_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim3_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim3_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_dim4_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_output_size_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_simple_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_simple_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_zero_numel_errors_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_then_from_padded_tensor_no_transform0213_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_inference_mode_interaction_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_abs__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_abs_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_cos_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_gelu__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_isposinf_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_relu_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_silu__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_silu_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_sin_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_sqrt_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_tanh__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_tanh_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unbind_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unbind_noncontiguous_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_inference_mode_interaction_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_view_inference_mode_interaction_cpu_float64, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_abs_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_add_strided_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_for_add_op_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_for_sub_op_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_backward_sub_strided_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_dropout_backward_jagged_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_dropout_backward_strided_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_gelu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_indexing_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_5d_size_128_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_edge_case_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_1023_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_1024_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_128_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_2_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_4_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_layer_norm_backward_size_512_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_bmm_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_from_padded_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_generates_leaf_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_linear_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_linear_plus_transpose_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_reshape_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_reshape_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_softmax_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_squeeze_gradcheck_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_nested_tensor_to_padded_tensor_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_relu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_selu_backward_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_split_with_sizes_flow_through_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_to_buffer_series_ops_grad_with_broadcast_cpu, test/test_nestedtensor.py::TestNestedTensorAutogradCPU::test_values_grad_with_broadcast_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_apply__cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_0_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_1_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_jagged_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_2_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_jagged_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_3_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_autograd_function_with_None_grad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_broadcasting_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_with_nested_int_second_arg_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_padded_dense_conversion_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_with_dynamic_max_seq_len_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_with_dynamic_min_seq_len_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_composite_op_with_custom_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_construction_from_list_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_device_dtype_transfer_updates_offsets_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_dummy_mha_with_nt_use_legacy_api_False_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_dummy_mha_with_nt_use_legacy_api_True_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flatten_decomp_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_False_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_index_put_error_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_is_contiguous_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_padded_dense_conversion_kernels_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_reduce_ragged_idx_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layout_under_torch_dispatch_mode_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_value_rand_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_4_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_5_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_narrow_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_activation_checkpoint_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_fx_trace_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_pass_min_max_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_pass_min_max_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_with_holes_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_with_holes_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_permute_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_autocast_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_backwards_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_compile_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_flop_counter_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_packed_in_proj_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_packed_in_proj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_False_components_require_grad_False_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_False_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_True_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_True_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_specialize_dynamic_shape_recompile_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_squeeze_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_dtype_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unary_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_backward_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_lengths_ragged_idx_0_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_last_dim_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_view_ragged_idx_not_one_cpu, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___radd___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rdiv___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rmul___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_atan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_bfloat16_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_copysign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_div_no_rounding_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_fill_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_fmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_half_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_log10_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_log2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_logaddexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_minimum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_celu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_hardtanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_logsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_relu6_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_relu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softplus_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_positive_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rad2deg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_real_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_round_decimals_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_round_decimals_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rsqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sgn_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_erfcx_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_i1e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_ndtri_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_xlog1py_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_square_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_squeeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_std_unbiased_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_where_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_xlogy_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_atan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_bfloat16_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_bmm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clone_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_cosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_div_no_rounding_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_div_trunc_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_hypot_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_ldexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_lgamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_logsumexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_max_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_maximum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_minimum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nanmean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_neg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_embedding_bag_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_hardshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_mish_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rms_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rrelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_selu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_silu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polar_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_pow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_round_decimals_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_log_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_xlog1py_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_split_with_sizes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_squeeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_tanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_where_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_xlogy_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rmul___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_any_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_argmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_argmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_atan2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_bool_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_cdouble_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_char_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_cosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_deg2rad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_div_floor_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_double_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_float_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_floor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_floor_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_fmod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_frexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_ge_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_gt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_half_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_hash_tensor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_hypot_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_igammac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_index_put_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isclose_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isnan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_isneginf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_jiterator_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_jiterator_binary_return_by_ref_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_le_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_log10_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_log_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_and_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_not_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logical_or_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_logit_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_lt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_masked_argmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_nan_to_num_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_ne_cpu_float32, 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test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward___radd___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward___rdiv___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward___rmul___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_acosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_all_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_argmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_asinh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_atan2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_bool_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_byte_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cdouble_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_char_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_cosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_count_nonzero_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_div_trunc_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_eq_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_fill_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_floor_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_fmin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_frexp_cpu_float32, 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test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_logical_xor_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_long_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_lt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_argmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_logsumexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_matmul_cpu_float32, 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test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polar_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_polygamma_polygamma_n_4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_pow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_rad2deg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_decimals_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_decimals_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_round_decimals_neg_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sgn_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_signbit_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_airy_ai_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_bessel_j0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_chebyshev_polynomial_t_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_chebyshev_polynomial_u_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_chebyshev_polynomial_v_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_entr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_erfcx_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_hermite_polynomial_h_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_hermite_polynomial_he_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_legendre_polynomial_p_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_k0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_split_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_std_unbiased_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_to_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_unflatten_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_xlogy_cpu_float32
2025-08-14T21:43:05.5649020Z 
2025-08-14T21:43:07.6263270Z Running lazy/test_step_closures 1/1 ... [2025-08-14 21:43:07.626128]
2025-08-14T21:43:07.6264060Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:43:07.6266200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:43:07.626408]
2025-08-14T21:43:11.7692190Z 
2025-08-14T21:43:11.7692910Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_16bcb4d456098207_.log
2025-08-14T21:43:11.7694870Z Running 4 items in this shard: test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous, test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous_exception, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous_exception
2025-08-14T21:43:11.7695700Z 
2025-08-14T21:43:13.8599810Z Running test_ops_gradients 1/1 ... [2025-08-14 21:43:13.859772]
2025-08-14T21:43:13.8601250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:43:13.8602070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:43:13.860090]
2025-08-14T21:45:04.5654510Z 
2025-08-14T21:45:04.5655090Z test_meta 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_meta_1.2_f99552af4fcf4a7d_.log
2025-08-14T21:45:04.9667460Z Running 20351 items in this shard: test/test_meta.py::TestMetaConverter::test_complex_noncontiguous_bug, test/test_meta.py::TestMetaConverter::test_inplace_set_storage, test/test_meta.py::TestMetaConverter::test_leaf, test/test_meta.py::TestMetaConverter::test_non_leaf, test/test_meta.py::TestMetaConverter::test_requires_grad_false, test/test_meta.py::TestMetaConverter::test_tensor_outlives_converter, test/test_meta.py::TestMetaConverter::test_view_as_complex, test/test_meta.py::TestMetaConverter::test_view_as_real, test/test_meta.py::TestMetaConverter::test_view_mutate, test/test_meta.py::TestMetaConverter::test_view_of_leaf, test/test_meta.py::TestMetaConverter::test_view_of_non_leaf, test/test_meta.py::TestMetaConverter::test_weakref, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask0_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask1_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask2_cpu, test/test_meta.py::TestMetaCPU::test_batch_norm_backward_output_mask3_cpu, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___radd___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmod___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rmul___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype___rpow___cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs__conversions_complex_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_clamp_max_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_div_no_rounding_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_gt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_heaviside_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_igamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_or_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_logical_xor_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_ne_cpu_float32, test/test_meta.py::TestMetaCPU::test_binary_ufuncs_mixed_dtype__refs_nextafter_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_aminmax_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_argwhere_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_as_strided_copy_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_atan_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bincount_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_block_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cauchy_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_ceil_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chalf_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cholesky_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_clamp_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_count_nonzero_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cov_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cross_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cummax_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_cumulative_trapezoid_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diag_embed_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_diff_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_digamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_no_rounding_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_div_trunc_rounding_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfftn_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_irfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_fft_rfft_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_logsumexp_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumprod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_cumsum_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_std_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_masked_var_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matmul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_matrix_exp_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_pool2d_with_indices_backward_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_no_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_max_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_maximum_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_median_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_list_of_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_meshgrid_variadic_tensors_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_celu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_celu_cpu_float16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_channel_shuffle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_channel_shuffle_cpu_bool, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_channel_shuffle_cpu_float32, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_channel_shuffle_cpu_int64, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_channel_shuffle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_conv1d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_conv1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_dispatch_meta_inplace_nn_functional_conv1d_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_reciprocal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_round_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__foreach_tanh_cpu_float16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace__unsafe_masked_index_put_accumulate_cpu_int16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_add_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addbmm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addcmul_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmm_decomposed_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addmv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_alias_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_all_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_amax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_amin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_any_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argsort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_argwhere_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_partial_views_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_as_strided_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atan_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bincount_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_right_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_block_diag_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bool_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_shapes_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_byte_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cauchy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cdouble_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ceil_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cfloat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_inverse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cholesky_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_max_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clamp_min_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_clone_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_column_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_combinations_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_complex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_conj_physical_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_constant_pad_nd_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_contiguous_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_copysign_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_corrcoef_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cos_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cosh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_count_nonzero_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cov_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cross_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cummin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumprod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_cumulative_trapezoid_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_deg2rad_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diag_embed_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagflat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diagonal_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_diff_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_digamma_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_floor_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_no_rounding_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_div_trunc_rounding_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_double_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_dstack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_einsum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_permuted_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_empty_strided_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eq_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_equal_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erf_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfc_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_erfinv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_exp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_expand_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_expm1_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_exponential_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e4m3fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e5m2, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_float8_e5m2fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_eye_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fft_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_fftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_hfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftn_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ifftshift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfft_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_ihfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfft_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_irfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft2_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfft_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fft_rfftn_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_fill_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_flatten_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_flip_cpu_bool, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_flipud_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_float_power_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_jiterator_unary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_kron_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_kthvalue_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lcm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lcm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lcm_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lcm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ldexp_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_le_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lerp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lgamma_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cond_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cond_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cond_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cond_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_cross_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_det_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_diagonal_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eig_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvals_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_eigvalsh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_householder_product_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_inv_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_ldl_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lstsq_grad_oriented_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_lu_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_power_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_matrix_rank_hermitian_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_multi_dot_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_norm_subgradients_at_zero_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_hermitian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_singular_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_pinv_singular_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_slogdet_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_solve_triangular_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svd_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_svdvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorinv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_tensorsolve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vander_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vecdot_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linalg_vector_norm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_linspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log10_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log1p_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_normal_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_log_softmax_with_dtype_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logcumsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logical_not_cpu_int64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_logit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logspace_tensor_overload_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_logsumexp_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_long_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_lt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_lu_unpack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mH_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mT_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumprod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_norm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_std_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_sum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_masked_var_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_matrix_exp_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_binary_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_no_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_max_reduction_with_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_median_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_list_of_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_meshgrid_variadic_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_min_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_movedim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_msort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_multinomial_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_mvlgamma_mvlgamma_p_3_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanmedian_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nanquantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nansum_cpu_int8, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool1d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool2d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_nn_functional_max_pool3d_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_0_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_1_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_polygamma_polygamma_n_4_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_positive_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_pow_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_put_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_qr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_quantile_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rad2deg_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rand_like_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randint_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_randn_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_ravel_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_real_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reciprocal_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_remainder_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_renorm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_repeat_interleave_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_reshape_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize__cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resize_as__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_conj_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_resolve_neg_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_roll_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rot90_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_0_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_3_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_round_decimals_neg_3_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsqrt_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_rsub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scalar_tensor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_amin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_mean_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_scatter_reduce_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_searchsorted_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_select_scatter_cpu_bfloat16, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_split_with_sizes_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sqrt_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sqrt_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_sqrt_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sqrt_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sqrt_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_square_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_square_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_square_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_square_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_squeeze_multiple_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_stack_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_stack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_stack_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_stack_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_stack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_mean_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_std_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_stft_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_stft_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_stft_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sub_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_sum_to_size_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_svd_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_t_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_along_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_take_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensor_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tensordot_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_to_sparse_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_topk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trace_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_transpose_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapezoid_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_trapz_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triangular_solve_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_tril_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_indices_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_triu_indices_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_true_divide_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_trunc_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unbind_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unflatten_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unfold_cpu_float64, 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test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unravel_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsafe_split_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_unsqueeze_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_inplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_as_real_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_inplace_view_copy_cpu_complex64, 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test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__chunk_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_abs_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_acos_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_add_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcdiv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_addcmul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_asin_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace__foreach_asin_cpu_int32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_addmv_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_addr_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_alias_copy_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_all_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_allclose_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_amin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_aminmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_angle_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_any_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_arange_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmax_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argmin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_argsort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_argwhere_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_partial_views_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_as_strided_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_asin_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_asinh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan2_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atan_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atanh_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_1d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_2d_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_atleast_3d_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_baddbmm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bernoulli_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bfloat16_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bincount_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_left_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_not_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_or_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_right_shift_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bitwise_xor_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_block_diag_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bmm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bool_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_broadcast_to_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_bucketize_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_byte_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cartesian_prod_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cat_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cauchy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdist_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cdouble_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_ceil_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cfloat_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_chalf_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_char_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_cholesky_inverse_cpu_complex128, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvals_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvals_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvals_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_eigvalsh_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_householder_product_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_householder_product_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_inv_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_factor_ex_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_ldl_solve_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lstsq_grad_oriented_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_factor_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_lu_solve_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_linalg_matrix_norm_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_logdet_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_and_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_not_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_logical_or_cpu_uint8, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_cumsum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_fill_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_log_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logaddexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_logsumexp_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_norm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_normalize_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_prod_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_scatter_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_select_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmax_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_softmin_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_std_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_sum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_masked_var_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_matmul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_matrix_exp_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_max_binary_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_maximum_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_median_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_list_of_tensors_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_meshgrid_variadic_tensors_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_binary_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_no_dim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_min_reduction_with_dim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_minimum_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mm_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mode_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_movedim_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_msort_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mul_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_multinomial_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_multinomial_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_multinomial_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mv_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nan_to_num_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_nanmedian_cpu_float32, 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test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unfold_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_uniform_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_consecutive_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unique_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unravel_index_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_chunk_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsafe_split_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_unsqueeze_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_mean_unbiased_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_var_unbiased_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vdot_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_as_real_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_copy_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_view_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vsplit_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_float64, test/test_meta.py::TestMetaCPU::test_meta_outplace_vstack_cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_where_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_xlogy_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zero__cpu_uint8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bfloat16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex128, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_complex64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float16, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_bool, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_complex32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_float32, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int64, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_int8, test/test_meta.py::TestMetaCPU::test_meta_outplace_zeros_like_cpu_uint8, test/test_meta.py::TestMetaCPU::test_nan_to_num_cpu, test/test_meta.py::TestMetaCPU::test_nonzero_cpu
2025-08-14T21:45:05.5029430Z 
2025-08-14T21:45:06.7552330Z Running test_fx_reinplace_pass 1/1 ... [2025-08-14 21:45:06.755090]
2025-08-14T21:45:06.7552650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:06.7554800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_fx_reinplace_pass.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:06.755385]
2025-08-14T21:45:09.2845070Z 
2025-08-14T21:45:09.2845960Z test_fx_reinplace_pass 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_reinplace_pass_1.1_db0d883f2f2425c4_.log
2025-08-14T21:45:09.2850460Z Running 12 items in this shard: test/test_fx_reinplace_pass.py::TestReinplacePass::test_out_node_updated, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_basic, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_different_metadata, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_index_mutation, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_overlapping_memory, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_op, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_invalid2, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_scatter_twice_with_different_view_op_valid, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_sym_input, test/test_fx_reinplace_pass.py::TestReinplacePass::test_reinplace_with_view
2025-08-14T21:45:09.2853690Z 
2025-08-14T21:45:11.4333640Z Running nn/test_multihead_attention 1/1 ... [2025-08-14 21:45:11.433155]
2025-08-14T21:45:11.4334470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:11.4336600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:11.433444]
2025-08-14T21:45:20.7696180Z 
2025-08-14T21:45:20.7697090Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_646ee00cbaa95683_.log
2025-08-14T21:45:20.7704920Z Running 19 items in this shard: test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_False, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_True, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_3d_attn_mask, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_fast_path_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_nested_tensor_outside_fast_path, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_no_bias, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_small_test_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_bias_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_weight_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_cpu, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_mock_cpu
2025-08-14T21:45:22.8754870Z 
2025-08-14T21:45:22.8755790Z Running functorch/test_aot_joint_with_descriptors 1/1 ... [2025-08-14 21:45:22.875363]
2025-08-14T21:45:22.8760750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:22.8761800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_aot_joint_with_descriptors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:22.875642]
2025-08-14T21:45:27.6766580Z 
2025-08-14T21:45:27.6767270Z functorch/test_aot_joint_with_descriptors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aot_joint_with_descriptors_1.1_bc8ec8b46dec9715_.log
2025-08-14T21:45:27.6771120Z Running 10 items in this shard: test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_conv_bn_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_export_and_compile, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_conv_bn_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_multiple_outputs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_node_consistency, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_fx_utils_simple_linear, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_in_out_specs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_module_with_kwargs, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_multiple_outputs_module, test/functorch/test_aot_joint_with_descriptors.py::TestAOTJointWithDescriptors::test_simple_linear_module
2025-08-14T21:45:27.6774350Z 
2025-08-14T21:45:29.8000560Z Running test_pruning_op 1/1 ... [2025-08-14 21:45:29.799893]
2025-08-14T21:45:29.8001330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:29.8003660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_pruning_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:29.800174]
2025-08-14T21:45:32.0480370Z 
2025-08-14T21:45:32.0480880Z test_pruning_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_pruning_op_1.1_ef3a980816aa48fb_.log
2025-08-14T21:45:32.0481950Z Running 2 items in this shard: test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_32bit_indices, test/test_pruning_op.py::PruningOpTest::test_rowwise_prune_op_64bit_indices
2025-08-14T21:45:32.0482430Z 
2025-08-14T21:45:34.1716220Z Running lazy/test_functionalization 1/1 ... [2025-08-14 21:45:34.171411]
2025-08-14T21:45:34.1717200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:34.1720170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_functionalization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:34.171694]
2025-08-14T21:45:36.3458470Z 
2025-08-14T21:45:36.3459070Z lazy/test_functionalization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_functionalization_1.1_ed577a4a4d1f2836_.log
2025-08-14T21:45:36.3460870Z Running 2 items in this shard: test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_data_assign, test/lazy/test_functionalization.py::LazyFuncionalizationTest::test_lazy_init_with_view
2025-08-14T21:45:36.3461410Z 
2025-08-14T21:45:38.5419920Z Running functorch/test_ac 1/1 ... [2025-08-14 21:45:38.541753]
2025-08-14T21:45:38.5420700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:38.5422470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_ac.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:38.542059]
2025-08-14T21:45:41.1566320Z 
2025-08-14T21:45:41.1567380Z functorch/test_ac 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_1.1_ba36003e9485995c_.log
2025-08-14T21:45:41.1567850Z 
2025-08-14T21:45:43.2442880Z Running test_ops_fwd_gradients 1/1 ... [2025-08-14 21:45:43.244107]
2025-08-14T21:45:43.2443650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:45:43.2445940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops_fwd_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:45:43.244381]
2025-08-14T21:47:25.1053700Z 
2025-08-14T21:47:25.1055120Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_cf3fbb910feb2589_.log
2025-08-14T21:47:25.2279310Z Running 5384 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCatCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCubeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNMSCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySortCustomOp_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_list_args_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_split_with_sizes_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sqrt_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_square_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_squeeze_multiple_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_mean_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_std_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_stft_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sub_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_sum_to_size_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_svd_lowrank_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_t_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_along_dim_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_take_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tan_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tanh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensor_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tensordot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tile_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_to_sparse_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_topk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trace_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_transpose_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapezoid_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trapz_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triangular_solve_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_tril_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_triu_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_true_divide_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_trunc_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unbind_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unflatten_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unfold_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_uniform_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_consecutive_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unique_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_chunk_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsafe_split_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_unsqueeze_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_mean_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_var_unbiased_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vdot_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_complex_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_as_real_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_view_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vsplit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_vstack_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_where_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_xlogy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zero__cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64
2025-08-14T21:47:25.3466290Z 
2025-08-14T21:47:27.1803480Z Running test_hub 1/1 ... [2025-08-14 21:47:27.180150]
2025-08-14T21:47:27.1804190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:47:27.1806300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_hub.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:47:27.180431]
2025-08-14T21:47:39.7084630Z 
2025-08-14T21:47:39.7085490Z test_hub 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_hub_1.1_a44feabb89ce7cc9_.log
2025-08-14T21:47:39.7090420Z Running 20 items in this shard: test/test_hub.py::TestHub::test_download_url_to_file, test/test_hub.py::TestHub::test_get_set_dir, test/test_hub.py::TestHub::test_hub_parse_repo_info, test/test_hub.py::TestHub::test_list_entrypoints, test/test_hub.py::TestHub::test_load_commit_from_forked_repo, test/test_hub.py::TestHub::test_load_from_branch, test/test_hub.py::TestHub::test_load_from_github, test/test_hub.py::TestHub::test_load_from_local_dir, test/test_hub.py::TestHub::test_load_legacy_zip_checkpoint, test/test_hub.py::TestHub::test_load_state_dict_from_url, test/test_hub.py::TestHub::test_load_zip_1_6_checkpoint, test/test_hub.py::TestHub::test_trust_repo_builtin_trusted_owners, test/test_hub.py::TestHub::test_trust_repo_check_no, test/test_hub.py::TestHub::test_trust_repo_check_yes, test/test_hub.py::TestHub::test_trust_repo_false_emptystring, test/test_hub.py::TestHub::test_trust_repo_false_no, test/test_hub.py::TestHub::test_trust_repo_legacy, test/test_hub.py::TestHub::test_trust_repo_none, test/test_hub.py::TestHub::test_trust_repo_true, test/test_hub.py::TestHub::test_trusted_repo_false_yes
2025-08-14T21:47:39.7093090Z 
2025-08-14T21:47:41.8374040Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-08-14 21:47:41.837200]
2025-08-14T21:47:41.8374920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:47:41.8377130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:47:41.837478]
2025-08-14T21:47:43.9591240Z 
2025-08-14T21:47:43.9592000Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_873b4d66c546cca2_.log
2025-08-14T21:47:43.9593600Z Running 2 items in this shard: test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_exception, test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_no_exception
2025-08-14T21:47:43.9594340Z 
2025-08-14T21:47:46.0499840Z Running test_stateless 1/1 ... [2025-08-14 21:47:46.049782]
2025-08-14T21:47:46.0500560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:47:46.0502600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_stateless.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:47:46.050066]
2025-08-14T21:47:51.2431620Z 
2025-08-14T21:47:51.2433090Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_d2634ab28c9d88dd_.log
2025-08-14T21:47:51.2446100Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag
2025-08-14T21:47:51.2458520Z 
2025-08-14T21:47:53.3190690Z Running test_numpy_interop 1/1 ... [2025-08-14 21:47:53.318857]
2025-08-14T21:47:53.3191460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:47:53.3193500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_numpy_interop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:47:53.319136]
2025-08-14T21:47:55.7899160Z 
2025-08-14T21:47:55.7900010Z test_numpy_interop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numpy_interop_1.1_6df9dfeb8dbe1251_.log
2025-08-14T21:47:55.7910270Z Running 44 items in this shard: test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test___eq___cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_invalid_numpy_array_sequence_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ctor_with_numpy_scalar_ctor_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_empty_tensors_interop_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_list_of_ndarray_warning_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_no_leak_on_invalid_dtype_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_from_numpy_zero_element_type_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_has_storage_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_multiplication_numpy_scalar_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ndarray_astype_object_graph_break_2_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_ndarray_astype_object_graph_break_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_array_interface_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_index_multi_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_non_writeable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bfloat16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_bool, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex128, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_complex64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_float64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int16, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int32, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int64, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_int8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_scalar_cmp_cpu_uint8, test/test_numpy_interop.py::TestNumPyInteropCPU::test_numpy_unresizable_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_parse_numpy_int_overflow_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_bool_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_cpu, test/test_numpy_interop.py::TestNumPyInteropCPU::test_to_numpy_force_argument_cpu
2025-08-14T21:47:55.7919060Z 
2025-08-14T21:47:57.8768040Z Running test_ops 1/2 ... [2025-08-14 21:47:57.876630]
2025-08-14T21:47:57.8768720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:47:57.8770940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:47:57.876905]
2025-08-14T21:48:48.2186200Z 
2025-08-14T21:48:48.2187550Z test_ops_fwd_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_fwd_gradients_1.1_0679c7d77f0db488_.log
2025-08-14T21:48:48.2988310Z Running 3192 items in this shard: test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_H_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_T_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___getitem___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___radd___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rdiv___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmatmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmod___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rmul___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rpow___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad___rsub___cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__batch_norm_with_update_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__chunk_cat_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__native_batch_norm_legit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_lengths_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__segment_reduce_offsets_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__softmax_backward_data_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad__upsample_bilinear2d_aa_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_abs_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acos_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_acosh_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argsort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_argwhere_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_fn_fwgrad_bwgrad_as_strided_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_long_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_long_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lt_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_solve_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_lu_unpack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mH_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mT_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_amax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_amin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_argmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_argmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumprod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_cumsum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_fill_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_log_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logaddexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_logsumexp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_median_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_scatter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_select_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmax_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_std_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_sum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_masked_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matmul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_matrix_exp_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_pool2d_with_indices_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_max_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_maximum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_median_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_list_of_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_meshgrid_variadic_tensors_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_binary_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_no_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_min_reduction_with_dim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_minimum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mode_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_movedim_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_msort_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mul_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_multinomial_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mv_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nan_to_num_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanmedian_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nanquantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nansum_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_narrow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_dropout_backward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_native_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ne_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_neg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_new_empty_cpu_complex128, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nextafter_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_alpha_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_avg_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_batch_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_celu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_channel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_conv_transpose3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_embedding_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cosine_similarity_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_cross_entropy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_ctc_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_dropout_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_elu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_bag_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_embedding_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_fractional_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gaussian_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_gelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_glu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_grid_sample_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_group_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardsigmoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardswish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hardtanh_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_huber_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_instance_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_area_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bicubic_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_kl_div_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_layer_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_leaky_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_linear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_local_response_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_logsigmoid_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_pool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool1d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool2d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mish_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_mse_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_head_attention_forward_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multi_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_normalize_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_circular_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_constant_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_reflect_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pairwise_distance_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pdist_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_shuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_poisson_nll_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_prelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu6_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_relu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rms_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_rrelu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_selu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_complex_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_silu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_soft_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softplus_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_softsign_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_tanhshrink_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_threshold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_unfold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_bilinear_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nn_functional_upsample_nearest_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_nonzero_static_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_fro_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_inf_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_norm_nuc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_in_place_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_normal_number_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ones_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ormqr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_outer_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pca_lowrank_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_permute_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pinverse_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polar_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_0_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_1_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_2_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_3_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_polygamma_polygamma_n_4_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_positive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_pow_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_prod_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_put_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_qr_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_quantile_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rad2deg_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_rand_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randint_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_randn_like_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_ravel_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_real_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_reciprocal_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_remainder_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_renorm_cpu_float64, 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test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_tril_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_triu_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_true_divide_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_trunc_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unbind_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unflatten_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unfold_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_uniform_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_consecutive_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unique_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_chunk_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_chunk_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsafe_split_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_unsqueeze_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_mean_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_var_unbiased_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vdot_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_complex_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_as_real_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_copy_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_copy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_view_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vsplit_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_vstack_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_where_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_where_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_xlogy_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zero__cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_cpu_float64, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_complex128, test/test_ops_fwd_gradients.py::TestFwdGradientsCPU::test_inplace_forward_mode_AD_zeros_like_cpu_float64
2025-08-14T21:48:48.3762930Z 
2025-08-14T21:48:50.2837780Z Running optim/test_lrscheduler 1/1 ... [2025-08-14 21:48:50.283573]
2025-08-14T21:48:50.2839070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:48:50.2839970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:48:50.283854]
2025-08-14T21:48:52.0969200Z 
2025-08-14T21:48:52.0971210Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_dc255cc3543304fa_.log
2025-08-14T21:48:52.0971670Z 
2025-08-14T21:48:54.1906050Z Running functorch/test_aotdispatch 3/3 ... [2025-08-14 21:48:54.190399]
2025-08-14T21:48:54.1906870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:48:54.1909000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_aotdispatch.py', '-m', 'not serial', '--shard-id=3', '--num-shards=3', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:48:54.190675]
2025-08-14T21:50:02.7144260Z 
2025-08-14T21:50:02.7145180Z test_decomp 3/4 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_3.4_e3e11d0a8d006950_.log
2025-08-14T21:50:02.7563890Z Running 2269 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bincount_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_copysign_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diff_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exponential_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_float_power_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_histc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogram_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_histogramdd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hstack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_mean_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_inner_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_int_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isclose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isneginf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isreal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_istft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_item_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_2inputs_2outputs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_4inputs_with_extra_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_binary_return_by_ref_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_jiterator_unary_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_kron_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_kthvalue_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ldexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_le_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lerp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lgamma_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cholesky_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cond_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_cross_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eig_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvals_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_eigvalsh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_householder_product_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_inv_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_factor_ex_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_ldl_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lstsq_grad_oriented_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_lu_factor_ex_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_qr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vecdot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_normalize_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_softmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_matmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_matrix_exp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_binary_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_pool2d_with_indices_backward_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_binary_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_no_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_min_reduction_with_dim_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_movedim_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_special_spherical_bessel_j0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_xlog1py_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_xlog1py_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_xlog1py_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_list_args_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_split_with_sizes_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sqrt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_square_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_squeeze_multiple_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_mean_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_std_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_stft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_sum_to_size_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_lowrank_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_svd_lowrank_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_t_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_along_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_take_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensor_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tensordot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unravel_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_chunk_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__native_batch_norm_legit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_hardshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_select_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_entr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_item_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_lerp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_vector_norm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logical_and_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logical_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logical_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logical_xor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_dropout_backward_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_elu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_gelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardshrink_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_logsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mish_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_prelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_rrelu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softplus_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_fro_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_slice_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_softmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_weight_norm_interface_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators
2025-08-14T21:50:02.7966890Z 
2025-08-14T21:50:04.9333320Z Running test_schema_check 1/1 ... [2025-08-14 21:50:04.933155]
2025-08-14T21:50:04.9334370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:50:04.9336700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_schema_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:50:04.933470]
2025-08-14T21:52:01.2862620Z 
2025-08-14T21:52:01.2863270Z test_schema_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_schema_check_1.1_f2bdaee53408e718_.log
2025-08-14T21:52:01.4454710Z Running 6023 items in this shard: test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_output_is_input, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_custom_ops_secretly_mutating, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_multiple_operators_centered, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_outputs_unexpectedly_aliasing, test/test_schema_check.py::TestSchemaCheck::test_alias_check_fail_simple, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_basic, test/test_schema_check.py::TestSchemaCheck::test_is_alias_of_empty_container, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail, test/test_schema_check.py::TestSchemaCheck::test_mutation_check_fail_multiple_operators, test/test_schema_check.py::TestSchemaCheck::test_overlaps_basic, test/test_schema_check.py::TestSchemaCheck::test_overlaps_empty_container, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_empty_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_default_replaced, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_device_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_kwarg_tensor, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_list_input, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_mutable_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_nested_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_training_op, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_wildcard_after, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_functionality_with_multiple_outputs_aliasing, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_inputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_aliasing_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_as_strided, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_multiple_outputs, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_mutation, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_none, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_mutated_aliasing_resize_, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order, test/test_schema_check.py::TestSchemaCheck::test_schema_check_mode_operator_order_without_grad, test/test_schema_check.py::TestSchemaCheck::test_schema_info_bind_basic, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_H_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_T_cpu_bfloat16, 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test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_real_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_as_real_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_copy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_view_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vsplit_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_vstack_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_where_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_xlogy_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zero__cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_cpu_uint8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bfloat16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_bool, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex128, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_complex64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_float64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int16, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int32, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int64, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_int8, test/test_schema_check.py::TestSchemaCheckModeOpInfoCPU::test_schema_correctness_zeros_like_cpu_uint8
2025-08-14T21:52:01.6001880Z 
2025-08-14T21:52:03.4257440Z Running test_datapipe 1/1 ... [2025-08-14 21:52:03.425579]
2025-08-14T21:52:03.4258160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:03.4260660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:03.425867]
2025-08-14T21:52:31.6458990Z 
2025-08-14T21:52:31.6459730Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_34932ecd8ffb0826_.log
2025-08-14T21:52:31.6479560Z Running 94 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_groups_in_legacy_grouping_package, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization
2025-08-14T21:52:31.6497410Z 
2025-08-14T21:52:33.8316100Z Running test_bundled_inputs 1/1 ... [2025-08-14 21:52:33.831421]
2025-08-14T21:52:33.8316860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:33.8319000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_bundled_inputs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:33.831709]
2025-08-14T21:52:36.9528080Z 
2025-08-14T21:52:36.9528950Z test_bundled_inputs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_bundled_inputs_1.1_c8827ba10eca6ef9_.log
2025-08-14T21:52:36.9532900Z Running 12 items in this shard: test/test_bundled_inputs.py::TestBundledInputs::test_bad_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_dict_args, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_fail, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_non_mutator, test/test_bundled_inputs.py::TestBundledInputs::test_double_augment_success, test/test_bundled_inputs.py::TestBundledInputs::test_large_tensor_with_inflation, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_both_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_multiple_methods_with_inputs_neither_defined_failure, test/test_bundled_inputs.py::TestBundledInputs::test_non_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_rejected_tensors, test/test_bundled_inputs.py::TestBundledInputs::test_single_tensors
2025-08-14T21:52:36.9535500Z 
2025-08-14T21:52:39.3153050Z Running profiler/test_execution_trace 1/1 ... [2025-08-14 21:52:39.315104]
2025-08-14T21:52:39.3153890Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:39.3156350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'profiler/test_execution_trace.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:39.315431]
2025-08-14T21:52:41.7347350Z 
2025-08-14T21:52:41.7348120Z profiler/test_execution_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_execution_trace_1.1_910daed4cdc10e5a_.log
2025-08-14T21:52:41.7354070Z Running 13 items in this shard: test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_alone_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_disabled_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_env_enabled_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_nested_tensor_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_no_capture_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_data_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_record_integral_tensor_range_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_repeat_in_loop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_start_stop_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_kineto_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_execution_trace_with_pt2_cpu, test/profiler/test_execution_trace.py::TestExecutionTraceCPU::test_triton_fx_graph_with_et_cpu
2025-08-14T21:52:41.7357780Z 
2025-08-14T21:52:43.9542740Z Running lazy/test_generator 1/1 ... [2025-08-14 21:52:43.954083]
2025-08-14T21:52:43.9543510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:43.9545660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_generator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:43.954380]
2025-08-14T21:52:46.2871930Z 
2025-08-14T21:52:46.2876670Z lazy/test_generator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_generator_1.1_c43326c0ec4906dd_.log
2025-08-14T21:52:46.2879680Z Running 2 items in this shard: test/lazy/test_generator.py::LazyGeneratorTest::test_generator, test/lazy/test_generator.py::LazyGeneratorTest::test_generator_causes_multiple_compiles
2025-08-14T21:52:46.2882980Z 
2025-08-14T21:52:48.4669060Z Running torch_np/numpy_tests/core/test_indexing 1/1 ... [2025-08-14 21:52:48.466689]
2025-08-14T21:52:48.4669950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:48.4672160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:48.466976]
2025-08-14T21:52:50.8164920Z 
2025-08-14T21:52:50.8165780Z torch_np/numpy_tests/core/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_indexing_1.1_64a4eaccf2ccec01_.log
2025-08-14T21:52:50.8184560Z Running 67 items in this shard: test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_assignment_value_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_list, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_onedim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_indexing_twodim, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_boolean_shape_mismatch, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broaderrors_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_broken_sequence_not_nd_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_ellipsis_index_2, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_fancy_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_empty_tuple_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_everything_returns_views, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_array_to_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_index_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_negative_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_indexing_array_weird_strides, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_memory_order, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_none_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_nontuple_ndindex, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reverse_strides_and_subspace_bufferinit, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_reversed_strides_result_allocation, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_same_kind_index_casting, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_scalar_array_bool, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_bool_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_single_int_index, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_slicing_no_floats, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_small_regressions, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index2_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_False_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_32_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_1, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_advanced_indices_index_True_num_40_original_ndim_32, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_too_many_fancy_indices_special_case, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_not_possible, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_trivial_fancy_out_of_bounds, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_tuple_subclass, test/torch_np/numpy_tests/core/test_indexing.py::TestIndexing::test_uncontiguous_subspace_assignment, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index0, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index1, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_error_reports_correct_shape_index2, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_broadcast_subspace, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_index_is_larger, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepend_not_one, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_prepending_ones, test/torch_np/numpy_tests/core/test_indexing.py::TestBroadcastedAssignments::test_simple_broadcasting_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFancyIndexingCast::test_boolean_index_cast_assign, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_1d, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_boolean, test/torch_np/numpy_tests/core/test_indexing.py::TestMultiIndexingAutomated::test_multidim, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_non_integer_sequence_multiplication, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_reduce_axis_float_index, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_indexing, test/torch_np/numpy_tests/core/test_indexing.py::TestFloatNonIntegerArgument::test_valid_slicing, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_bool_as_int_argument_errors, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_fast_path, test/torch_np/numpy_tests/core/test_indexing.py::TestBooleanIndexing::test_boolean_indexing_weirdness, test/torch_np/numpy_tests/core/test_indexing.py::TestArrayToIndexDeprecation::test_array_to_index_error, test/torch_np/numpy_tests/core/test_indexing.py::TestNonIntegerArrayLike::test_basic, test/torch_np/numpy_tests/core/test_indexing.py::TestMultipleEllipsisError::test_basic
2025-08-14T21:52:50.8201800Z 
2025-08-14T21:52:53.1094290Z Running test_maskedtensor 1/1 ... [2025-08-14 21:52:53.109216]
2025-08-14T21:52:53.1095040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:52:53.1097100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_maskedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:52:53.109506]
2025-08-14T21:53:01.6795810Z 
2025-08-14T21:53:01.6797340Z test_maskedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_maskedtensor_1.1_e3d72c0cb08cfa9b_.log
2025-08-14T21:53:01.6990980Z Running 955 items in this shard: test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn0, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn1, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn10, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn11, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn12, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn13, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn14, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn15, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn16, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn17, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn18, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn19, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn2, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn20, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn21, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn22, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn23, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn24, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn25, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn26, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn27, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn28, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn29, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn3, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn30, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn31, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn32, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn33, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn34, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn35, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn36, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn37, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn38, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn39, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn4, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn40, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn41, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn42, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn43, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn44, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn45, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn46, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn47, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn48, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn49, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn5, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn50, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn51, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn52, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn53, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn54, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn55, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn56, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn57, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn6, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn7, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn8, test/test_maskedtensor.py::TestUnary::test_inplace_unary_fn9, test/test_maskedtensor.py::TestUnary::test_unary_fn0, test/test_maskedtensor.py::TestUnary::test_unary_fn1, test/test_maskedtensor.py::TestUnary::test_unary_fn10, test/test_maskedtensor.py::TestUnary::test_unary_fn11, test/test_maskedtensor.py::TestUnary::test_unary_fn12, test/test_maskedtensor.py::TestUnary::test_unary_fn13, test/test_maskedtensor.py::TestUnary::test_unary_fn14, test/test_maskedtensor.py::TestUnary::test_unary_fn15, test/test_maskedtensor.py::TestUnary::test_unary_fn16, test/test_maskedtensor.py::TestUnary::test_unary_fn17, test/test_maskedtensor.py::TestUnary::test_unary_fn18, test/test_maskedtensor.py::TestUnary::test_unary_fn19, test/test_maskedtensor.py::TestUnary::test_unary_fn2, test/test_maskedtensor.py::TestUnary::test_unary_fn20, test/test_maskedtensor.py::TestUnary::test_unary_fn21, test/test_maskedtensor.py::TestUnary::test_unary_fn22, test/test_maskedtensor.py::TestUnary::test_unary_fn23, test/test_maskedtensor.py::TestUnary::test_unary_fn24, test/test_maskedtensor.py::TestUnary::test_unary_fn25, test/test_maskedtensor.py::TestUnary::test_unary_fn26, test/test_maskedtensor.py::TestUnary::test_unary_fn27, test/test_maskedtensor.py::TestUnary::test_unary_fn28, test/test_maskedtensor.py::TestUnary::test_unary_fn29, test/test_maskedtensor.py::TestUnary::test_unary_fn3, test/test_maskedtensor.py::TestUnary::test_unary_fn30, test/test_maskedtensor.py::TestUnary::test_unary_fn31, test/test_maskedtensor.py::TestUnary::test_unary_fn32, test/test_maskedtensor.py::TestUnary::test_unary_fn33, test/test_maskedtensor.py::TestUnary::test_unary_fn34, test/test_maskedtensor.py::TestUnary::test_unary_fn35, test/test_maskedtensor.py::TestUnary::test_unary_fn36, test/test_maskedtensor.py::TestUnary::test_unary_fn37, test/test_maskedtensor.py::TestUnary::test_unary_fn38, test/test_maskedtensor.py::TestUnary::test_unary_fn39, test/test_maskedtensor.py::TestUnary::test_unary_fn4, test/test_maskedtensor.py::TestUnary::test_unary_fn40, test/test_maskedtensor.py::TestUnary::test_unary_fn41, test/test_maskedtensor.py::TestUnary::test_unary_fn42, test/test_maskedtensor.py::TestUnary::test_unary_fn43, test/test_maskedtensor.py::TestUnary::test_unary_fn44, test/test_maskedtensor.py::TestUnary::test_unary_fn45, test/test_maskedtensor.py::TestUnary::test_unary_fn46, test/test_maskedtensor.py::TestUnary::test_unary_fn47, test/test_maskedtensor.py::TestUnary::test_unary_fn48, test/test_maskedtensor.py::TestUnary::test_unary_fn49, test/test_maskedtensor.py::TestUnary::test_unary_fn5, test/test_maskedtensor.py::TestUnary::test_unary_fn50, test/test_maskedtensor.py::TestUnary::test_unary_fn51, test/test_maskedtensor.py::TestUnary::test_unary_fn52, test/test_maskedtensor.py::TestUnary::test_unary_fn53, test/test_maskedtensor.py::TestUnary::test_unary_fn54, test/test_maskedtensor.py::TestUnary::test_unary_fn55, test/test_maskedtensor.py::TestUnary::test_unary_fn56, test/test_maskedtensor.py::TestUnary::test_unary_fn57, test/test_maskedtensor.py::TestUnary::test_unary_fn58, test/test_maskedtensor.py::TestUnary::test_unary_fn59, test/test_maskedtensor.py::TestUnary::test_unary_fn6, test/test_maskedtensor.py::TestUnary::test_unary_fn60, test/test_maskedtensor.py::TestUnary::test_unary_fn61, test/test_maskedtensor.py::TestUnary::test_unary_fn7, test/test_maskedtensor.py::TestUnary::test_unary_fn8, test/test_maskedtensor.py::TestUnary::test_unary_fn9, test/test_maskedtensor.py::TestBinary::test_binary_fn0, test/test_maskedtensor.py::TestBinary::test_binary_fn1, test/test_maskedtensor.py::TestBinary::test_binary_fn10, test/test_maskedtensor.py::TestBinary::test_binary_fn11, test/test_maskedtensor.py::TestBinary::test_binary_fn12, test/test_maskedtensor.py::TestBinary::test_binary_fn13, test/test_maskedtensor.py::TestBinary::test_binary_fn14, test/test_maskedtensor.py::TestBinary::test_binary_fn15, test/test_maskedtensor.py::TestBinary::test_binary_fn16, test/test_maskedtensor.py::TestBinary::test_binary_fn17, test/test_maskedtensor.py::TestBinary::test_binary_fn18, 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test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_rsqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sgn_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sigmoid_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sign_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_signbit_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sin_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinc_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sinh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_sqrt_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_square_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tan_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_tanh_layout2_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout0_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout1_cpu_float64, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float16, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float32, test/test_maskedtensor.py::TestOperatorsCPU::test_unary_core_trunc_layout2_cpu_float64, test/test_maskedtensor.py::TestBasicsCPU::test_add_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_contiguous_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_dim_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_layouts_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_diff_sizes_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_grad_warning_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_coo_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_csr_values_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_sparse_layout_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_invalid_tensor_inputs_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_nn_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_softmax_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_stack_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_coo_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_and_sparse_csr_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dense_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_device_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_dtype_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_to_sparse_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_unfold_cpu, test/test_maskedtensor.py::TestBasicsCPU::test_where_cpu
2025-08-14T21:53:01.7178350Z 
2025-08-14T21:53:03.8943210Z Running test_tensorboard 1/1 ... [2025-08-14 21:53:03.894134]
2025-08-14T21:53:03.8943980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:03.8946620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_tensorboard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:03.894424]
2025-08-14T21:53:07.2039720Z 
2025-08-14T21:53:07.2041100Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_6416b1a12f263389_.log
2025-08-14T21:53:07.2066090Z Running 50 items in this shard: test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_autograd_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram_raw, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_write, test/test_tensorboard.py::TestTensorBoardUtils::test_convert_to_HWC_dtype_remains_same, test/test_tensorboard.py::TestTensorBoardUtils::test_numpy_vid_uint8, test/test_tensorboard.py::TestTensorBoardUtils::test_prepare_video, test/test_tensorboard.py::TestTensorBoardUtils::test_to_HWC, test/test_tensorboard.py::TestTensorBoardWriter::test_writer, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_pathlib, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_close, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_ctx, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding_64, test/test_tensorboard.py::TestTensorBoardSummary::test_audio, test/test_tensorboard.py::TestTensorBoardSummary::test_custom_scalars, test/test_tensorboard.py::TestTensorBoardSummary::test_empty_input, test/test_tensorboard.py::TestTensorBoardSummary::test_float32_image, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_auto, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_doane, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_fd, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_3_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_boxes, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_without_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_list_input, test/test_tensorboard.py::TestTensorBoardSummary::test_mesh, test/test_tensorboard.py::TestTensorBoardSummary::test_scalar_new_style, test/test_tensorboard.py::TestTensorBoardSummary::test_text, test/test_tensorboard.py::TestTensorBoardSummary::test_uint8_image, test/test_tensorboard.py::TestTensorBoardSummary::test_video, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_mlp_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_nested_nn_squential, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph_dict_input, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_torchvision_smoke, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_wrong_input_size, test/test_tensorboard.py::TestTensorBoardFigure::test_figure, test/test_tensorboard.py::TestTensorBoardFigure::test_figure_list, test/test_tensorboard.py::TestTensorBoardNumpy::test_pytorch_np_expect_fail, test/test_tensorboard.py::TestTensorBoardNumpy::test_scalar, test/test_tensorboard.py::TestTensorProtoSummary::test_complex_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_empty_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_float_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_bfloat16_proto_type_14, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_float16_proto_type_19, test/test_tensorboard.py::TestTensorProtoSummary::test_int_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_scalar_tensor_proto
2025-08-14T21:53:07.2075730Z 
2025-08-14T21:53:09.4069070Z Running torch_np/numpy_tests/lib/test_type_check 1/1 ... [2025-08-14 21:53:09.406627]
2025-08-14T21:53:09.4070170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:09.4071770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_type_check.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:09.406925]
2025-08-14T21:53:11.6299790Z 
2025-08-14T21:53:11.6301620Z torch_np/numpy_tests/lib/test_type_check 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_type_check_1.1_a19ca73ef4837a69_.log
2025-08-14T21:53:11.6312190Z Running 50 items in this shard: test/torch_np/numpy_tests/lib/test_type_check.py::TestCommonType::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_1, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_2, test/torch_np/numpy_tests/lib/test_type_check.py::TestMintypecode::test_default_3, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsscalar::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestReal::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_cmplx, test/torch_np/numpy_tests/lib/test_type_check.py::TestImag::test_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplex::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_fail, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_isreal_real, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsreal::test_pass, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_list, test/torch_np/numpy_tests/lib/test_type_check.py::TestIscomplexobj::test_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsrealobj::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsnan::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_complex1, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsfinite::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_goodvalues, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_ind, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_neginf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsinf::test_posinf_scalar, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsposinf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestIsneginf::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_array, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_bad2, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_complex_good, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_do_not_rewrite_previous_keyword, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_float, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_generic, test/torch_np/numpy_tests/lib/test_type_check.py::TestNanToNum::test_integer, test/torch_np/numpy_tests/lib/test_type_check.py::TestRealIfClose::test_basic, test/torch_np/numpy_tests/lib/test_type_check.py::TestArrayConversion::test_asfarray
2025-08-14T21:53:11.6321920Z 
2025-08-14T21:53:13.8222900Z Running lazy/test_ts_opinfo 1/1 ... [2025-08-14 21:53:13.822085]
2025-08-14T21:53:13.8223900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:13.8225980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'lazy/test_ts_opinfo.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:13.822371]
2025-08-14T21:53:21.4834400Z 
2025-08-14T21:53:21.4834980Z lazy/test_ts_opinfo 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_ts_opinfo_1.1_991c6d2bcbe840f1_.log
2025-08-14T21:53:21.4906810Z Running 292 items in this shard: test/lazy/test_ts_opinfo.py::TestLazyTensor::testConvolutionBackward, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_tensor_ctr, test/lazy/test_ts_opinfo.py::TestLazyTensor::test_view_mark_step_preserved, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_block_diag_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diag_embed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_logsumexp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_min_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_narrow_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_new_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_norm_nuc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_correctness_with_reusing_ir_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy__softmax_backward_data_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_abs_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcdiv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addcmul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_addmm_decomposed_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_alias_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_arange_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_as_strided_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_baddbmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bernoulli_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_bmm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_clamp_min_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_constant_pad_nd_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cos_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_cumsum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_diagonal_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_floor_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_no_rounding_mode_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_div_trunc_rounding_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_empty_strided_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_eq_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_exp_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_expand_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_flip_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_floor_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_frac_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gather_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ge_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_grid_sampler_2d_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_gt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_le_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log2_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_log_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_lt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_masked_fill_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_pool2d_with_indices_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_max_reduction_with_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_maximum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mean_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_binary_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_min_reduction_no_dim_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_minimum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mul_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_mv_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_batch_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_dropout_backward_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_native_layer_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_ne_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_neg_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_fro_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_norm_inf_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_permute_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_pow_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_reciprocal_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_remainder_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_repeat_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_rsqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_scatter_add_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_select_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sgn_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sigmoid_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_slice_scatter_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sort_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sqrt_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_squeeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_stack_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_std_unbiased_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sub_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_sum_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_t_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tanh_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_topk_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trace_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_transpose_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_tril_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_triu_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_trunc_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unfold_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_uniform_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_unsqueeze_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyOpInfoCPU::test_dispatched_to_lazy_view_copy_cpu_float32, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_adaptiveavgpool3d_dynamic, test/lazy/test_ts_opinfo.py::TestLazyDynamicOps::test_nonzero_dynamic
2025-08-14T21:53:21.4972750Z 
2025-08-14T21:53:23.6333150Z Running test_mkldnn_fusion 1/1 ... [2025-08-14 21:53:23.633111]
2025-08-14T21:53:23.6333900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:23.6335990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:23.633403]
2025-08-14T21:53:25.7409330Z 
2025-08-14T21:53:25.7411290Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_bbe59558dc079663_.log
2025-08-14T21:53:25.7415600Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv
2025-08-14T21:53:25.7417320Z 
2025-08-14T21:53:27.9866470Z Running benchmark_utils/test_benchmark_utils 1/1 ... [2025-08-14 21:53:27.986470]
2025-08-14T21:53:27.9867370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:27.9869600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'benchmark_utils/test_benchmark_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:27.986747]
2025-08-14T21:53:30.4115510Z 
2025-08-14T21:53:30.4116140Z benchmark_utils/test_benchmark_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/benchmark_utils.test_benchmark_utils_1.1_8260910ae6f92cfd_.log
2025-08-14T21:53:30.4119280Z Running 9 items in this shard: test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_adaptive_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_collect_cpp_callgrind, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_compare, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_cpp_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_fuzzer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_manipulate_callgrind_stats, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer, test/benchmark_utils/test_benchmark_utils.py::TestBenchmarkUtils::test_timer_tiny_fast_snippet
2025-08-14T21:53:30.4121360Z 
2025-08-14T21:53:32.4973260Z Running test_linalg 1/1 ... [2025-08-14 21:53:32.497156]
2025-08-14T21:53:32.4973970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:53:32.4976310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:53:32.497443]
2025-08-14T21:56:23.0246580Z 
2025-08-14T21:56:23.0247110Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_f2f9bf0f573b5973_.log
2025-08-14T21:56:23.0508660Z Running 1240 items in this shard: test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float64, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_128_cpu, 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test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_backward_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex64, 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test/test_linalg.py::TestLinalgCPU::test_fp16_mv_transposed_first_argument_arm_cpu_m_64_k_64_cpu, test/test_linalg.py::TestLinalgCPU::test_gemm_bias_offline_tunableop_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_gemm_bias_tunableop_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_geqrf_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_householder_product_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_householder_product_errors_and_warnings_cpu, test/test_linalg.py::TestLinalgCPU::test_inner_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inner_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_ex_info_device_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inv_ex_singular_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_invariance_error_spectral_decompositions_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_errors_large_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_inverse_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_empty_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_kron_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_lapack_empty_cpu, test/test_linalg.py::TestLinalgCPU::test_large_bmm_backward_cpu, test/test_linalg.py::TestLinalgCPU::test_large_bmm_mm_backward_cpu, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ldl_factor_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_ldl_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_with_and_without_dim_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_cross_with_and_without_dim_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_batch_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lstsq_input_checks_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_cpu_errors_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_family_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_lu_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_analytic_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_batch_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_batch_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_matrix_exp_boundary_cases_cpu_float64, 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test/test_linalg.py::TestLinalgCPU::test_linalg_qr_autograd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_linalg_solve_triangular_large_cpu_complex64, 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test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_bool, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_complex128, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_complex64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_float64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int16, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int32, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int64, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_int8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bfloat16_uint8, test/test_linalg.py::TestLinalgCPU::test_outer_type_promotion_cpu_bool_bfloat16, 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test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float64
2025-08-14T21:56:23.0755520Z 
2025-08-14T21:56:25.1863290Z Running test_futures 1/1 ... [2025-08-14 21:56:25.186124]
2025-08-14T21:56:25.1864010Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:56:25.1866070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_futures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:25.186424]
2025-08-14T21:56:28.0444920Z 
2025-08-14T21:56:28.0446110Z test_futures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_futures_1.1_215b51513103e01b_.log
2025-08-14T21:56:28.0450560Z Running 22 items in this shard: test/test_futures.py::TestFuture::test_add_done_callback_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_add_done_callback_no_arg_error_is_ignored, test/test_futures.py::TestFuture::test_add_done_callback_simple, test/test_futures.py::TestFuture::test_chained_then, test/test_futures.py::TestFuture::test_collect_all, test/test_futures.py::TestFuture::test_done, test/test_futures.py::TestFuture::test_done_exception, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_maintains_callback_order, test/test_futures.py::TestFuture::test_interleaving_then_and_add_done_callback_propagates_error, test/test_futures.py::TestFuture::test_mark_future_twice, test/test_futures.py::TestFuture::test_pickle_future, test/test_futures.py::TestFuture::test_set_exception, test/test_futures.py::TestFuture::test_set_exception_multithreading, test/test_futures.py::TestFuture::test_then, test/test_futures.py::TestFuture::test_then_no_arg, test/test_futures.py::TestFuture::test_then_raise, test/test_futures.py::TestFuture::test_then_wrong_arg, test/test_futures.py::TestFuture::test_wait, test/test_futures.py::TestFuture::test_wait_all, test/test_futures.py::TestFuture::test_wait_multi_thread, test/test_futures.py::TestFuture::test_wait_none
2025-08-14T21:56:28.0454050Z 
2025-08-14T21:56:30.1661010Z Running torch_np/numpy_tests/lib/test_histograms 1/1 ... [2025-08-14 21:56:30.165880]
2025-08-14T21:56:30.1661910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:56:30.1664120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_histograms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:30.166160]
2025-08-14T21:56:32.5803580Z 
2025-08-14T21:56:32.5806960Z torch_np/numpy_tests/lib/test_histograms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_histograms_1.1_90fba769594d9f17_.log
2025-08-14T21:56:32.5823850Z Running 60 items in this shard: test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_arr_weights_mismatch, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_big_arrays, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_array_dims, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bin_edge_cases, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_bool_conversion, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_density, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_error_binnum_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_exotic_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_f32_rounding, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_histogram_bin_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_invalid_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_last_bin_inclusive_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_no_side_effects, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_object_array_of_0d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_one_bin, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_outliers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_precision, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_signed_overflow_bounds_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_some_nan_values, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_type, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_unsigned_monotonicity_check, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogram::test_weights, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_incorrect_methods, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_limited_variance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_novariance, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_outlier, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_scott_vs_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_auto, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_doane, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_fd, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_rice, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_scott, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_stone, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_signed_integer_data_bins_sturges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_simple_weighted, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramOptimBinNums::test_small, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_array, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_error_2, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_bins_errors, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_1d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_density_non_uniform_2d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_edge_dtype, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_empty, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_equal_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_finite_range, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_identical_samples, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_inf_edges, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_large_integers, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_rightmost_binedge, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_3d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_shape_4d, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_simple, test/torch_np/numpy_tests/lib/test_histograms.py::TestHistogramdd::test_weights
2025-08-14T21:56:32.5837740Z 
2025-08-14T21:56:34.7226310Z Running nn/test_embedding 1/1 ... [2025-08-14 21:56:34.722455]
2025-08-14T21:56:34.7227100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:56:34.7229700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_embedding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:34.722776]
2025-08-14T21:56:38.7375460Z 
2025-08-14T21:56:38.7376100Z nn/test_embedding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_embedding_1.1_1d32daca5f08c2c9_.log
2025-08-14T21:56:38.7429720Z Running 165 items in this shard: test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_bag_padding_idx_error, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_float64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int16, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int32, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int64, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_int8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_padding_idx, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_from_pretrained_uint8, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_functional, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_max_norm_unsorted_repeating_indices, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_basic, test/nn/test_embedding.py::TestEmbeddingNN::test_embedding_sparse_empty_tensor, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_from_pretrained_options, test/nn/test_embedding.py::TestEmbeddingNN::test_embeddingbag_include_last_offset, test/nn/test_embedding.py::TestEmbeddingNN::test_large_tensors, test/nn/test_embedding.py::TestEmbeddingNN::test_move_sparse_half_embedding, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_empty_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_new_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_no_offsets_cpu_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_and_offsets_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_EmbeddingBag_per_sample_weights_failures_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_backward_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_1D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_2D_padding_idx_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_bfloat16_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_device_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_dimension_errors_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_empty_input_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_half_cpu_int64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int32_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int32_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_bfloat16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_non_contiguous_weight_cpu_int64_int64_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_max_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_mean_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float32_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_out_of_bounds_idx_padding_idx_0_mode_sum_cpu_float64_int64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_False_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_False_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_bag_per_sample_weights_grad_bag_use_grad_True_per_sample_weights_use_grad_True_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_dense_grad_cpu, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_backward_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float16, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_device_cpu_float64, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_max_norm_fwd_AD_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_padding_idx_cpu_float32, test/nn/test_embedding.py::TestEmbeddingNNDeviceTypeCPU::test_embedding_scalar_weight_error_cpu
2025-08-14T21:56:38.7478510Z 
2025-08-14T21:56:40.8877850Z Running nn/test_dropout 1/1 ... [2025-08-14 21:56:40.887599]
2025-08-14T21:56:40.8878580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:56:40.8880590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'nn/test_dropout.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:40.887876]
2025-08-14T21:56:44.2618890Z 
2025-08-14T21:56:44.2619480Z nn/test_dropout 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_dropout_1.1_3d7f1ffc7b946703_.log
2025-08-14T21:56:44.2626990Z Running 14 items in this shard: test/nn/test_dropout.py::TestDropoutNN::test_AlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_FeatureAlphaDropout, test/nn/test_dropout.py::TestDropoutNN::test_invalid_dropout_p, test/nn/test_dropout.py::TestDropoutNN::test_native_dropout_corner_case, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout1d_cpu_float64, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout2d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout3d_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_Dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeCPU::test_empty_dropout_cpu, test/nn/test_dropout.py::TestDropoutNNDeviceTypeMPS::test_Dropout1d_mps_float32, test/nn/test_dropout.py::TestDropoutNNDeviceTypeMPS::test_Dropout2d_mps, test/nn/test_dropout.py::TestDropoutNNDeviceTypeMPS::test_Dropout3d_mps, test/nn/test_dropout.py::TestDropoutNNDeviceTypeMPS::test_Dropout_mps, test/nn/test_dropout.py::TestDropoutNNDeviceTypeMPS::test_empty_dropout_mps
2025-08-14T21:56:44.2629860Z 
2025-08-14T21:56:46.4547970Z Running test_autograd 1/1 ... [2025-08-14 21:56:46.454626]
2025-08-14T21:56:46.4548680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:56:46.4551130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:56:46.454921]
2025-08-14T21:57:06.7313640Z 
2025-08-14T21:57:06.7315250Z test_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_1.1_9597186d5a3550bd_.log
2025-08-14T21:57:06.7445070Z Running 649 items in this shard: test/test_autograd.py::TestAutograd::test_access_saved_tensor_twice_without_recomputation_works, test/test_autograd.py::TestAutograd::test_accumulate_grad, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_can_observe_tensor_prehook, test/test_autograd.py::TestAutograd::test_accumulate_grad_posthooks_should_not_execute, test/test_autograd.py::TestAutograd::test_accumulate_grad_tensor_reference, test/test_autograd.py::TestAutograd::test_accumulate_grad_with_zero_numel_grad, test/test_autograd.py::TestAutograd::test_anomaly_assign_parent_cleanup, test/test_autograd.py::TestAutograd::test_anomaly_detect_nan, test/test_autograd.py::TestAutograd::test_anomaly_grad_warnings, test/test_autograd.py::TestAutograd::test_anomaly_mode_no_check_nan, test/test_autograd.py::TestAutograd::test_attribute_deletion, test/test_autograd.py::TestAutograd::test_autograd_inplace_view_of_view, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_creation_meta, test/test_autograd.py::TestAutograd::test_autograd_inplace_views_cross_dtype, test/test_autograd.py::TestAutograd::test_autograd_multiple_views_python, test/test_autograd.py::TestAutograd::test_autograd_node_isinstance, test/test_autograd.py::TestAutograd::test_autograd_print_tensor, test/test_autograd.py::TestAutograd::test_autograd_python_custom_function_inplace, test/test_autograd.py::TestAutograd::test_autograd_simple_views_python, test/test_autograd.py::TestAutograd::test_autograd_views_codegen, test/test_autograd.py::TestAutograd::test_backward, test/test_autograd.py::TestAutograd::test_backward_badcalls, test/test_autograd.py::TestAutograd::test_backward_copy, test/test_autograd.py::TestAutograd::test_backward_create_graph_warns, test/test_autograd.py::TestAutograd::test_backward_hook_relative_ordering, test/test_autograd.py::TestAutograd::test_backward_no_grad, test/test_autograd.py::TestAutograd::test_backward_to_node, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_retained_graph_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_with_saved_values, test/test_autograd.py::TestAutograd::test_backward_twice_without_saved_values, test/test_autograd.py::TestAutograd::test_backward_with_inputs, test/test_autograd.py::TestAutograd::test_backward_with_nonleaf_inputs, test/test_autograd.py::TestAutograd::test_backward_with_scalar_input, test/test_autograd.py::TestAutograd::test_calculate_shape_util, test/test_autograd.py::TestAutograd::test_callback_adds_callback, test/test_autograd.py::TestAutograd::test_callback_propagates_errors_from_device_thread, test/test_autograd.py::TestAutograd::test_cant_create_saved_tensors, test/test_autograd.py::TestAutograd::test_checkpoint_detects_non_determinism, test/test_autograd.py::TestAutograd::test_checkpoint_sequential_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpoint_valid_reset_on_error, test/test_autograd.py::TestAutograd::test_checkpoint_warns_if_use_reentrant_not_passed_explcitly, test/test_autograd.py::TestAutograd::test_checkpointing, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_cpu, test/test_autograd.py::TestAutograd::test_checkpointing_non_reentrant_autocast_gpu, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_arbitrary_input_output, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_correct_grad, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_custom_function_works, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_dataparallel, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_detached_tensor_use_reentrant_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_False, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_input_requires_grad_True, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_memory_savings, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_parameter_used_in_an_out, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_saved_object_identity, test/test_autograd.py::TestAutograd::test_checkpointing_without_reentrant_with_context_fn, test/test_autograd.py::TestAutograd::test_copy_slices_graph_task_updates, test/test_autograd.py::TestAutograd::test_create_graph_and_full_backward_hook_cycle, test/test_autograd.py::TestAutograd::test_current_graph_task_execution_order, test/test_autograd.py::TestAutograd::test_current_graph_task_id, test/test_autograd.py::TestAutograd::test_current_node, test/test_autograd.py::TestAutograd::test_custom_autograd_no_early_free, test/test_autograd.py::TestAutograd::test_custom_autograd_repeated_grad_grad, test/test_autograd.py::TestAutograd::test_custom_function_cycle, test/test_autograd.py::TestAutograd::test_custom_function_error, test/test_autograd.py::TestAutograd::test_custom_function_exception, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_forward_is_no_op, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_inplace_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_non_tensor_before_tensor_args, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_view_checks, test/test_autograd.py::TestAutograd::test_custom_function_forward_mode_wrong_formula, test/test_autograd.py::TestAutograd::test_custom_function_inplace_on_non_default_view, test/test_autograd.py::TestAutograd::test_custom_function_inplace_on_view_of_leaf, test/test_autograd.py::TestAutograd::test_custom_function_local_inplace, test/test_autograd.py::TestAutograd::test_custom_function_mark_dirty_not_differentiable, test/test_autograd.py::TestAutograd::test_custom_function_mark_output_view_of_intermediate, test/test_autograd.py::TestAutograd::test_custom_function_no_tensors, test/test_autograd.py::TestAutograd::test_custom_function_non_tensor_inputs_outputs, test/test_autograd.py::TestAutograd::test_custom_function_preserve_torch_function_when_return_as_is, test/test_autograd.py::TestAutograd::test_custom_function_return_view_in_nograd, test/test_autograd.py::TestAutograd::test_custom_function_save_for_forward, test/test_autograd.py::TestAutograd::test_custom_function_saved_tensors, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_input, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_multi_output, test/test_autograd.py::TestAutograd::test_custom_function_setup_context_simple, test/test_autograd.py::TestAutograd::test_custom_function_vmap_defaults, test/test_autograd.py::TestAutograd::test_deep_reentrant, test/test_autograd.py::TestAutograd::test_default_saved_tensors_hooks_double_backward, test/test_autograd.py::TestAutograd::test_dep_nograd, test/test_autograd.py::TestAutograd::test_dependent_backward, test/test_autograd.py::TestAutograd::test_detach, test/test_autograd.py::TestAutograd::test_detach_base, test/test_autograd.py::TestAutograd::test_detach_then_inplace_raises_in_autograd, test/test_autograd.py::TestAutograd::test_diagonal_expanded_v, test/test_autograd.py::TestAutograd::test_dir, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks, test/test_autograd.py::TestAutograd::test_disabling_saved_tensor_hooks_nested, test/test_autograd.py::TestAutograd::test_dont_materialize_grads, test/test_autograd.py::TestAutograd::test_duplicate_backward_root, test/test_autograd.py::TestAutograd::test_enable_grad_decorator_no_paren, test/test_autograd.py::TestAutograd::test_first_grad_fn_access_in_no_grad_mode, test/test_autograd.py::TestAutograd::test_free_deep_graph, test/test_autograd.py::TestAutograd::test_free_deep_graph_complicated, test/test_autograd.py::TestAutograd::test_free_deep_graph_pyfunction, test/test_autograd.py::TestAutograd::test_full_backward_hook_double_backward, test/test_autograd.py::TestAutograd::test_function, test/test_autograd.py::TestAutograd::test_function_returns_input, test/test_autograd.py::TestAutograd::test_function_returns_undefined_tensor, test/test_autograd.py::TestAutograd::test_gc_in_destructor, test/test_autograd.py::TestAutograd::test_grad, test/test_autograd.py::TestAutograd::test_grad_badcalls, test/test_autograd.py::TestAutograd::test_grad_batched_grad, 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test/test_autograd.py::TestAutograd::test_retains_grad_inplace_multiple_outputs, test/test_autograd.py::TestAutograd::test_return_duplicate, test/test_autograd.py::TestAutograd::test_return_duplicate_inplace, test/test_autograd.py::TestAutograd::test_return_leaf, test/test_autograd.py::TestAutograd::test_return_leaf_inplace, test/test_autograd.py::TestAutograd::test_save_none_for_backward, test/test_autograd.py::TestAutograd::test_save_on_cpu_and_checkpoint, test/test_autograd.py::TestAutograd::test_save_output_nr, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_custom_error_propagation, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_custom_function_intermediates, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_extra_enter_during_bw_no_leak, test/test_autograd.py::TestAutograd::test_saved_tensor_hooks_extra_exit_during_bw_no_crash, test/test_autograd.py::TestAutograd::test_saved_tensors_hook_version_counter_not_shared, 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test/test_autograd.py::TestAutograd::test_setting_default_saved_variable_hooks_twice_should_use_inner, test/test_autograd.py::TestAutograd::test_setup_context_when_forward_has_default_args, test/test_autograd.py::TestAutograd::test_shape, test/test_autograd.py::TestAutograd::test_sharded_grad, test/test_autograd.py::TestAutograd::test_simple_reentrant, test/test_autograd.py::TestAutograd::test_slice_expanded_v, test/test_autograd.py::TestAutograd::test_sparse_gather_both_scalar, test/test_autograd.py::TestAutograd::test_sparse_gather_dim0, test/test_autograd.py::TestAutograd::test_sparse_gather_dim1, test/test_autograd.py::TestAutograd::test_sparse_gather_dim_neg, test/test_autograd.py::TestAutograd::test_sparse_gather_ind_scalar, test/test_autograd.py::TestAutograd::test_sparse_gather_x_scalar, test/test_autograd.py::TestAutograd::test_sparse_mm_backward, test/test_autograd.py::TestAutograd::test_tensor_grad_warnings, test/test_autograd.py::TestAutograd::test_tensor_hooks_inplace, 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test/test_autograd.py::TestAutogradForwardMode::test_codegen_ignores_undefined_outputs, test/test_autograd.py::TestAutogradForwardMode::test_create_new_zeros_with_same_meta, test/test_autograd.py::TestAutogradForwardMode::test_default_level, test/test_autograd.py::TestAutogradForwardMode::test_detach_view_tracking, test/test_autograd.py::TestAutogradForwardMode::test_forward_level_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_fwd_grad_enabled, test/test_autograd.py::TestAutogradForwardMode::test_grad_cleanup, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_forbid_integral_dtype, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_inference_tensor_in_inference_mode, test/test_autograd.py::TestAutogradForwardMode::test_make_dual_torch_dispatch, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_check_conj, test/test_autograd.py::TestAutogradForwardMode::test_metadata_check_checks_ignores_size_zero, 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test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_per_dispatch_key_input_saving_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_set_sequence_nr_cpu, test/test_autograd.py::TestAutogradMultipleDispatchCPU::test_view_copy_cpu
2025-08-14T21:57:06.7569630Z 
2025-08-14T21:57:08.9539270Z Running torch_np/numpy_tests/core/test_scalarmath 1/1 ... [2025-08-14 21:57:08.953729]
2025-08-14T21:57:08.9540190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:57:08.9542400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalarmath.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:57:08.954020]
2025-08-14T21:57:18.8764760Z 
2025-08-14T21:57:18.8765490Z torch_np/numpy_tests/core/test_scalarmath 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalarmath_1.1_1127fdacab035b95_.log
2025-08-14T21:57:18.8825440Z Running 186 items in this shard: test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_leak, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_add, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_type_create, test/torch_np/numpy_tests/core/test_scalarmath.py::TestTypes::test_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_blocked, test/torch_np/numpy_tests/core/test_scalarmath.py::TestBaseMath::test_lower_align, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_integers_to_negative_integer_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_large_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_mixed_types, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_modular_power, test/torch_np/numpy_tests/core/test_scalarmath.py::TestPower::test_small_types, 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test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____le_____rop_____ge___op1_cmp_True_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____le_____rop_____ge___op1_cmp_True_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____le_____rop_____ge___op1_cmp_True_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____lt_____rop_____gt___op0_cmp_True_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____lt_____rop_____gt___op0_cmp_True_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____lt_____rop_____gt___op0_cmp_True_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____lt_____rop_____gt___op0_cmp_True_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mod_____rop_____rmod___op9_cmp_False_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mod_____rop_____rmod___op9_cmp_False_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mod_____rop_____rmod___op9_cmp_False_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mod_____rop_____rmod___op9_cmp_False_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mul_____rop_____rmul___op10_cmp_False_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mul_____rop_____rmul___op10_cmp_False_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mul_____rop_____rmul___op10_cmp_False_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____mul_____rop_____rmul___op10_cmp_False_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____ne_____rop_____ne___op3_cmp_True_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____ne_____rop_____ne___op3_cmp_True_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____ne_____rop_____ne___op3_cmp_True_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____ne_____rop_____ne___op3_cmp_True_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____pow_____rop_____rpow___op11_cmp_False_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____pow_____rop_____rpow___op11_cmp_False_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____pow_____rop_____rpow___op11_cmp_False_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____pow_____rop_____rpow___op11_cmp_False_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____sub_____rop_____rsub___op12_cmp_False_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____sub_____rop_____rsub___op12_cmp_False_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____sub_____rop_____rsub___op12_cmp_False_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____sub_____rop_____rsub___op12_cmp_False_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____truediv_____rop_____rtruediv___op7_cmp_False_subtype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____truediv_____rop_____rtruediv___op7_cmp_False_subtype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____truediv_____rop_____rtruediv___op7_cmp_False_subtype2, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_pyscalar_subclasses___op_____truediv_____rop_____rtruediv___op7_cmp_False_subtype3, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____add_____rop_____radd___op8_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____add_____rop_____radd___op8_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____eq_____rop_____eq___op2_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____eq_____rop_____eq___op2_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____floordiv_____rop_____rfloordiv___op6_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____floordiv_____rop_____rfloordiv___op6_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ge_____rop_____le___op5_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ge_____rop_____le___op5_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____gt_____rop_____lt___op4_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____gt_____rop_____lt___op4_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____le_____rop_____ge___op1_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____le_____rop_____ge___op1_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____lt_____rop_____gt___op0_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____lt_____rop_____gt___op0_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mod_____rop_____rmod___op9_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mod_____rop_____rmod___op9_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mul_____rop_____rmul___op10_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____mul_____rop_____rmul___op10_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____ne_____rop_____ne___op3_cmp_True_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____pow_____rop_____rpow___op11_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____sub_____rop_____rsub___op12_cmp_False_sctype1, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype0, test/torch_np/numpy_tests/core/test_scalarmath.py::TestScalarSubclassingMisc::test_subclass_deferral___op_____truediv_____rop_____rtruediv___op7_cmp_False_sctype1
2025-08-14T21:57:18.8881470Z 
2025-08-14T21:57:21.0735610Z Running test_functional_optim 1/1 ... [2025-08-14 21:57:21.073377]
2025-08-14T21:57:21.0736400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:57:21.0738530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_functional_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:57:21.073667]
2025-08-14T21:57:23.1286610Z 
2025-08-14T21:57:23.1289750Z test_functional_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_optim_1.1_3b7e5fc639610055_.log
2025-08-14T21:57:23.1292830Z Running 4 items in this shard: test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_adam_w, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_parity_sgd, test/test_functional_optim.py::TestFunctionalOptimParity::test_functional_optim_registration
2025-08-14T21:57:23.1294070Z 
2025-08-14T21:57:25.2942490Z Running test_vulkan 1/1 ... [2025-08-14 21:57:25.294053]
2025-08-14T21:57:25.2943190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:57:25.2945950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_vulkan.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:57:25.294480]
2025-08-14T21:57:27.3301760Z 
2025-08-14T21:57:27.3302380Z test_vulkan 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_vulkan_1.1_1fb2309bef496186_.log
2025-08-14T21:57:27.3304440Z Running 1 items in this shard: test/test_vulkan.py::TestVulkanRewritePass::test_conv
2025-08-14T21:57:27.3305150Z 
2025-08-14T21:57:29.4919720Z Running functorch/test_vmap 1/1 ... [2025-08-14 21:57:29.491785]
2025-08-14T21:57:29.4920020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:57:29.4922070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:57:29.492111]
2025-08-14T21:58:14.1355650Z 
2025-08-14T21:58:14.1357100Z functorch/test_aotdispatch 3/3 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_aotdispatch_3.3_3758aeb7e5a67854_.log
2025-08-14T21:58:14.1604660Z Running 740 items in this shard: test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_True_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_autocast_disable_guard, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_backward_mutation_forward_inputs_create_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_batchnorm_inference, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_buffer_copied_in_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_complex_linear, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_grad_context, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_inner_grad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_aliased_with_mutation_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_data_and_metadata_mutation_aliases_other_input, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_alias_everything, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_modifies_autograd_meta_of_aliases, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_requires_grad_no_grad_inference_graph, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_set__nop, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_mem_leak_from_save_for_bw, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_multi_output_list, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_input_multi_output_view_should_raise_autograd_error, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_output_all_alias_types, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_outputs_are_aliased, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_real_weights_in_symbolic_mode, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_set__and_data_mutation_bad, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_some_outputs_dont_require_grad_view, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclasses_mixed, test/functorch/test_aotdispatch.py::TestAOTAutograd::test_subclasses_mixed_mode, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_module_joint, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_multiple_outputs_require_grad_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_buffer_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_composite_implicit_inplace, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_composite_implicit_linear, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_contiguous, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_func_simple, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_map_2, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_autograd_op, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_predispatch_with_cond, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_simplified_basic, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_synthetic_bases_banned, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_unbacked_arg, test/functorch/test_aotdispatch.py::TestAOTExport::test_aot_export_with_torch_cond, test/functorch/test_aotdispatch.py::TestPartitioning::test_autocast, test/functorch/test_aotdispatch.py::TestPartitioning::test_contiguous, test/functorch/test_aotdispatch.py::TestPartitioning::test_default_partitioner_output_tensor_shape_tensor, test/functorch/test_aotdispatch.py::TestPartitioning::test_min_cut_partitioner, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_inference, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_input_mutation, test/functorch/test_aotdispatch.py::TestAOTDispatch::test_aot_dispatch_output_alias, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_fake_tensor_gm_raises, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_aot_module_simplified_preserves_stack_trace_from_mutation, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_subclass, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_False_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_False_test_subclasses_True_device_cuda, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_noncontig_nonmemformat_tangents_dynamic_shapes_True_test_subclasses_False_device_cpu, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_all, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_base_saved_tensors_hooks_filtering_mode_donated, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_saved_tensors_hooks_donated_buffers, test/functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_wrong_guess_tangent_type, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_grad_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_make_fx_no_decompose_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_nnc_jit_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_resnet18_backward_trace_cpu, test/functorch/test_aotdispatch.py::TestPythonKeyCPU::test_scalar_device_cpu, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_H_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___getitem___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive___rdiv___cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__batch_norm_with_update_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__chunk_cat_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__segment_reduce_lengths_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_add_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addcdiv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_addcmul_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_all_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_allclose_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_angle_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_any_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_arange_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_argsort_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_as_strided_scatter_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_atleast_1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_auto_functionalize_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_broadcast_tensors_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cartesian_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cauchy_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cdouble_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cholesky_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cholesky_inverse_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_clone_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_combinations_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cond_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_conj_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_corrcoef_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cosh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cummin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_cumulative_trapezoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diag_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diag_embed_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_diff_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_digamma_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_div_floor_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_div_no_rounding_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_div_trunc_rounding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_dstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_einsum_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_empty_permuted_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_erfinv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_exp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_hfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_hfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_hfftn_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_rfft2_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fft_rfft_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fliplr_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_fmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_frexp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_ge_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_geometric_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_geqrf_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_gradient_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_gt_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_half_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_heaviside_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_hstack_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_i0_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_igammac_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_add_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_fill_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_put_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_amax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_index_reduce_prod_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_invoke_quant_packed_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_invoke_subgraph_simple_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isclose_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_isin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_jiterator_unary_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_lerp_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_lgamma_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cholesky_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_cross_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eig_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_eigvals_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_householder_product_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_inv_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_ldl_solve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_lstsq_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_lu_factor_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_multi_dot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_norm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_pinv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_pinv_hermitian_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_pinv_singular_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_solve_ex_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_solve_triangular_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_tensorinv_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_tensorsolve_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_vander_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linalg_vecdot_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionOpInfoCPU::test_aot_autograd_exhaustive_linspace_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_FractionalMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRU_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_GRU_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_HingeEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_InstanceNorm2d_train_mode_cpu_float32, 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test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiLabelMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiLabelSoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_MultiheadAttention_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_PReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RMSNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_RNN_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_ReplicationPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Sigmoid_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_SoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softmax2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softmin_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softplus_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveAvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AdaptiveMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_AvgPool3d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_BatchNorm1d_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CircularPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ConstantPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_CrossEntropyLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Embedding_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_FractionalMaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GELU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GRU_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_GroupNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Hardtanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_HingeEmbeddingLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_HuberLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm1d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_InstanceNorm2d_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_L1Loss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LPPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LSTM_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LayerNorm_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LazyConvTranspose2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_LogSoftmax_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MSELoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MaxPool2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Mish_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_MultiLabelSoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_RNNCell_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReflectionPad2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_ReplicationPad1d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SiLU_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_SoftMarginLoss_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softmax2d_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softplus_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Softshrink_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Tanh_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Threshold_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_TransformerEncoder_train_mode_cpu_float32, test/functorch/test_aotdispatch.py::TestEagerFusionModuleInfoCPU::test_aot_autograd_symbolic_module_exhaustive_nn_Transformer_cpu_float32, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_batchnorm_inference, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dupe_arg_torture, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_dynamic_shape_output_not_in_bw_graph, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_inference_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_false_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_hidden_from_autograd_aliasing, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_requires_grad_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_requires_grad_no_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_down_and_set_, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_mutation_storage_resize_up, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_input_output_view_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_invalid_dupe, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_mutation_of_input_in_fw_and_bw, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_complicated_inps_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_new_inp_requires_grad_now, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_and_returned_flipped, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_inplace_view_with_detach, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_intermediate_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_set__and_data_mutation_good, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_some_outputs_dont_require_grad_non_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_squeeze_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclass_metadata_mutation_req_grad_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithDynamo::test_subclass_metadata_mutation_req_grad_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_aot_eager_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_False_dynamic_shapes_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_alias_of_intermediate_detach_backend_inductor_view_replay_for_aliased_outputs_True_dynamic_shapes_True, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_mutation_on_grad_out, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_pass_autocast_custom, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_pass_autocast_off, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_backward_pass_autocast_on, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batch_norm_amp, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_buffer_batch_norm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_compilation_context, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_dynamic_output_aliases_input_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_embedding_bag_view_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_metadata_mutation_aliases, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_and_none_require_gradients, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_aliases_and_output_alias, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_batchnorm, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_is_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_metadata2, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_noncontiguous, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_requires_grad_no_grad_detach_mixed, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_set__input_mutation, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_simple_with_none_and_nontensor, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_mutation_storage_resize_down, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_input_output_view_metadata_mutate_multiple, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_dupe_fake, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_invalid_requires_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_list_codegen, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_activations_dynamic, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mark_outputs_dynamic_use_autograd_False, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_module, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_multi_output_list, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_mutations_in_bw_detached_from_tangent, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_complicated_inps, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_nested_subclasses_non_nested_grad, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_no_grad_input_output, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_non_tensor_and_none_inputs, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_input_multi_output_view, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_and_returned, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_intermediate_single, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_multiple_inputs_get_correct_one, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_aliases_output_view_meta_replay, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_output_dict, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_real_weights_in_symbolic_mode_with_inplace_ops, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_saved_tensors_hooks_mutations_raise, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_subclasses_mixed_mode, test/functorch/test_aotdispatch.py::TestAOTAutogradWithCache::test_synthetic_base_base_attribute_is_none
2025-08-14T21:58:14.1835150Z 
2025-08-14T21:58:16.4957410Z Running test_cuda_multigpu 1/1 ... [2025-08-14 21:58:16.495610]
2025-08-14T21:58:16.4957690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-08-14T21:58:16.4959940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/python', '-bb', 'test_cuda_multigpu.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-08-14 21:58:16.495900]
2025-08-14T21:58:18.7755480Z 
2025-08-14T21:58:18.7759450Z test_cuda_multigpu 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_multigpu_1.1_f5651ae8602e456d_.log
2025-08-14T21:58:18.7760520Z Running 0 items in this shard:
2025-08-14T21:58:18.7760650Z 
2025-08-14T21:58:40.9428630Z 
2025-08-14T21:58:40.9429280Z test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_1.2_4ffdc7a4e5e8ae72_.log
2025-08-14T21:58:41.2786130Z Running 17183 items in this shard: test/test_ops.py::TestCommonCPU::test_compare_cpu_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmatmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__batch_norm_with_update_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_double_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_long_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs__conversions_short_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_bitwise_left_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_chunk_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_empty_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fft_ifftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fliplr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_fmin_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_special_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_std_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_sum_to_size_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_trace_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_true_divide_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_var_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_vsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__refs_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__unsafe_masked_index_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addcmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_atleast_3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bool_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_bucketize_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cauchy_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_chalf_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_char_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_inverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_cholesky_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_compare_cpu_column_stack_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_eq_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_fft_fftshift_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_flatten_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_float_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_hsplit_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_imag_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_add_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_copy_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_fill_cpu_complex32, test/test_ops.py::TestCommonCPU::test_complex_half_reference_testing_index_put_cpu_complex32, 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test/test_ops.py::TestCommonCPU::test_errors_narrow_copy_cpu, test/test_ops.py::TestCommonCPU::test_errors_ne_cpu, test/test_ops.py::TestCommonCPU::test_errors_neg_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool2d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_avg_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_adaptive_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_avg_pool1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_conv1d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_gelu_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_group_norm_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_max_pool3d_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multi_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_multilabel_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_poisson_nll_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_soft_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_nn_functional_triplet_margin_with_distance_loss_cpu, test/test_ops.py::TestCommonCPU::test_errors_pow_cpu, test/test_ops.py::TestCommonCPU::test_errors_renorm_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_as_cpu, test/test_ops.py::TestCommonCPU::test_errors_reshape_cpu, test/test_ops.py::TestCommonCPU::test_errors_scatter_add_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_cosine_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_exponential_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_general_cosine_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_general_hamming_cpu, test/test_ops.py::TestCommonCPU::test_errors_signal_windows_nuttall_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout3_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_mul_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_randn_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout1_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout2_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_sum_layout4_cpu, test/test_ops.py::TestCommonCPU::test_errors_sparse_zeros_like_layout0_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_v_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_t_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_u_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_shifted_chebyshev_polynomial_w_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_xlog1py_cpu, test/test_ops.py::TestCommonCPU::test_errors_special_zeta_cpu, test/test_ops.py::TestCommonCPU::test_errors_sum_to_size_cpu, test/test_ops.py::TestCommonCPU::test_errors_take_cpu, test/test_ops.py::TestCommonCPU::test_errors_triu_cpu, test/test_ops.py::TestCommonCPU::test_errors_unbind_copy_cpu, test/test_ops.py::TestCommonCPU::test_errors_unbind_cpu, test/test_ops.py::TestCommonCPU::test_errors_uniform_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_copy_cpu, test/test_ops.py::TestCommonCPU::test_errors_view_cpu, test/test_ops.py::TestCommonCPU::test_errors_vsplit_cpu, test/test_ops.py::TestCommonCPU::test_errors_vstack_cpu, test/test_ops.py::TestCommonCPU::test_errors_where_cpu, test/test_ops.py::TestCommonCPU::test_errors_xlogy_cpu, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_acosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addcdiv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_addmv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_aminmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_baddbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_bmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ceil_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_complex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_deg2rad_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_digamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_erfinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_exp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_expm1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_ihfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_frexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hash_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_histogram_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_index_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_kthvalue_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_eig_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_inv_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_linalg_vecdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lt_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_narrow_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_normal_number_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_permute_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_randn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_softmax_with_dtype_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_scaled_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tensordot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_transpose_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triangular_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_triu_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unfold_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vdot_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_view_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_vstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_where_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_xlogy_cpu_float32, test/test_ops.py::TestCommonCPU::test_meta_consistency_out_dtype_mismatch_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_H_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_T_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___getitem___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___radd___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rand___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rdiv___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmatmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmod___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rmul___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___ror___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rpow___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices___rsub___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices___rxor___cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__chunk_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__softmax_backward_data_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices__unsafe_masked_index_put_accumulate_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_abs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_acos_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addbmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addmm_decomposed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_addr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_all_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_allclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_aminmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_angle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_arange_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_argwhere_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_partial_views_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_as_strided_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_asin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atan_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_atleast_1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_bfloat16_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_or_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_right_shift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_bitwise_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_block_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_broadcast_shapes_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cfloat_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_clamp_min_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_clone_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_column_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_conj_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_constant_pad_nd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_contiguous_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_copysign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_corrcoef_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cosh_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cov_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diag_embed_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diagonal_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_floor_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_div_trunc_rounding_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_dstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_erfc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_exp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_expand_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_exponential_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_eye_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_fftshift_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_hfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ifftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_ihfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfft_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_irfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfft2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fft_rfftn_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_flip_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_fliplr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_flipud_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_float_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_floor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_fmod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_frac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_full_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gcd_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ge_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_geometric_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_gradient_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_grid_sampler_2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_gt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_half_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_hash_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_heaviside_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_histogramdd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hsplit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_hstack_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_i0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_igammac_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_index_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_inner_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_isreal_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_item_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_4inputs_with_extra_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_kron_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ldexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_le_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_lerp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cond_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_cross_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_eigh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_power_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_multi_dot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_qr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_slogdet_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svd_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linalg_vander_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logcumsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_and_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logical_xor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_logit_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_lu_solve_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_select_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_masked_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_maximum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_median_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nan_to_num_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nanmedian_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_narrow_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_full_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_bilinear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_celu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_conv_transpose2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_embedding_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_glu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_linear_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_local_response_norm_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_circular_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pdist_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_poisson_nll_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_relu_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softmin_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softplus_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_fro_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_normal_in_place_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_ormqr_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_pow_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_put_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rand_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_reshape_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize__cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_resize_as__cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsqrt_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_scatter_reduce_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sgn_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_short_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sign_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_signal_windows_blackman_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sin_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sinh_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_slice_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_sort_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_bessel_y1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_h_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_hermite_polynomial_he_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i0e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_i1e_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_legendre_polynomial_p_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_float32, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_multiple_devices_special_ndtr_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_broadcast_to_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_bucketize_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_byte_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_byte_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cartesian_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cartesian_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cdouble_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cdouble_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ceil_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cfloat_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_combinations_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_conj_physical_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_contiguous_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_contiguous_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_copysign_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_corrcoef_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cos_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cos_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_count_nonzero_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cov_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cross_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cross_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cummin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_cumulative_trapezoid_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diag_embed_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagflat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_copy_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diagonal_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_diff_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dist_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_floor_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_no_rounding_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_div_trunc_rounding_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dot_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_double_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dsplit_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dsplit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dstack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_dstack_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_einsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_permuted_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_empty_strided_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_eq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_equal_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_erfinv_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_fftshift_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfft_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_fft_hfftn_cpu_int64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_mean_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_index_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_int_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isclose_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isfinite_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isnan_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isneginf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isposinf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isposinf_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_isreal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_istft_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_item_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_2inputs_2outputs_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_binary_return_by_ref_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_jiterator_unary_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kron_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_kthvalue_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lcm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ldexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lgamma_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_cond_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_det_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_diagonal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eig_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_householder_product_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lstsq_grad_oriented_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_lu_solve_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svdvals_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_svdvals_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorinv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vander_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log10_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log1p_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_normal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_log_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logaddexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_and_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_not_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_or_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logical_xor_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_lu_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mH_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mT_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_amin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmax_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_argmin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumprod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_cumsum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_fill_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_log_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_logsumexp_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_normalize_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_scatter_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_std_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_sum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_masked_var_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matmul_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_matrix_exp_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_binary_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_max_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mean_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_median_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_list_of_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_meshgrid_variadic_tensors_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_binary_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_min_reduction_with_dim_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_minimum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mm_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mode_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_movedim_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mul_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_multinomial_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mv_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nanmedian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nansum_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nansum_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_narrow_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_dropout_backward_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_native_layer_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ne_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_empty_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_full_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_ones_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_new_zeros_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nextafter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_avg_pool3d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_channel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv1d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv2d_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose1d_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_embedding_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_dropout_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_elu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_gelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hardtanh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_interpolate_area_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_mish_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_normalize_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pad_replicate_negative_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pairwise_distance_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_shuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_pixel_unshuffle_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_prelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_relu6_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_selu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_silu_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softmin_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_softsign_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_tanhshrink_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_threshold_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_loss_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_unfold_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_static_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_nonzero_static_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_fro_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_inf_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_inf_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_nuc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_norm_nuc_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_normal_in_place_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ones_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ormqr_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_outer_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pca_lowrank_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_permute_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pinverse_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_pinverse_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polar_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_2_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_3_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_polygamma_polygamma_n_4_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_positive_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_prod_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_put_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rad2deg_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rand_like_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randint_like_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_randn_like_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_ravel_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_real_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_real_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reciprocal_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_renorm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_repeat_interleave_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reshape_as_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_reshape_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize__cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize__cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize_as__cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resize_as__cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_neg_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_neg_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_resolve_neg_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_roll_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_roll_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rot90_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_round_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_round_decimals_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsqrt_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsub_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_rsub_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scalar_tensor_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_add_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_scatter_reduce_prod_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_searchsorted_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_select_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_select_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_bartlett_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_hamming_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_hann_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signal_windows_nuttall_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signbit_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_signbit_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sin_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinc_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sinh_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_slice_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_softmax_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_softmax_with_dtype_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sort_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_airy_ai_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_airy_ai_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_j1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_j1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_bessel_y0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_u_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_entr_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_entr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_erfcx_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_i0e_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_i1e_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_i1e_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_laguerre_polynomial_l_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_log_ndtr_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_ndtri_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_polygamma_special_polygamma_n_0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_scaled_modified_bessel_k1_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_t_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_v_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_spherical_bessel_j0_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_zeta_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_special_zeta_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_list_args_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_split_with_sizes_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_square_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_squeeze_multiple_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stack_cpu_int64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_cpu_float32, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_mean_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_std_unbiased_cpu_complex64, test/test_ops.py::TestCommonCPU::test_noncontiguous_samples_stft_cpu_float32, 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test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_pow_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_quantile_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rad2deg_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_reciprocal_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_remainder_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_renorm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_rsqrt_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_add_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sigmoid_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sign_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sin_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sinc_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_log_ndtr_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_ndtri_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_sqrt_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_square_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_squeeze_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_stack_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_std_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_svd_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_t_copy_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_along_dim_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_take_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tanh_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tanh_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tensordot_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_topk_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triangular_solve_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_tril_cpu_float32, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_triu_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_true_divide_cpu_complex64, test/test_ops.py::TestCommonCPU::test_out_requires_grad_error_unfold_copy_cpu_complex64, 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test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_relu6_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_rms_norm_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_selu_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_silu_complex_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_silu_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_smooth_l1_loss_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_soft_margin_loss_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_softsign_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_tanhshrink_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nn_functional_threshold_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_nonzero_static_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_ones_cpu, test/test_ops.py::TestCommonCPU::test_out_warning_outer_cpu, 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test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_xlog1py_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_special_zeta_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_split_list_args_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sqrt_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_square_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_squeeze_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_squeeze_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_squeeze_multiple_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_std_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_sum_to_size_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_svd_lowrank_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_take_along_dim_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tanh_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tensor_split_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tile_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_transpose_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_trapezoid_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_trapz_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_triangular_solve_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_tril_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_triu_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_true_divide_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unbind_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unflatten_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unfold_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_uniform_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unique_consecutive_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsafe_chunk_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsqueeze_copy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_unsqueeze_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_mean_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_mean_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_var_unbiased_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_as_complex_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_as_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_view_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_vstack_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_xlogy_cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zero__cpu_float32, test/test_ops.py::TestCompositeComplianceCPU::test_view_replay_zeros_like_cpu_float32, test/test_ops.py::TestMathBitsCPU::test_conj_view_T_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___radd___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rdiv___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rmatmul___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rmul___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view___rsub___cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__chunk_cat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_T_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_bfloat16_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_byte_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_cdouble_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_char_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_half_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_long_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs__conversions_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_allclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_any_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_as_strided_partial_views_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_asinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_atleast_3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_broadcast_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_clone_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_column_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_conj_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_conj_physical_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_contiguous_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diag_embed_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_diagonal_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_dstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_equal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expand_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_fftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_hfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_ifftshift_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_index_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isfinite_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isinf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_istft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_item_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_diagonal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vecdot_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logaddexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_or_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_movedim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_channel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_tanhshrink_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_normal__in_place_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ones_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_pow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_ravel_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_renorm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rot90_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_special_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_stft_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tensor_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_tril_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unflatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_view_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view__refs_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcdiv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addcmul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_addr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_alias_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_all_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_allclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_as_strided_partial_views_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_asinh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_atleast_1d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_block_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_bmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_byte_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cartesian_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cfloat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_inverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cholesky_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_clone_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_combinations_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_corrcoef_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cos_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_cosh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_count_nonzero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diag_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diagflat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_diff_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_div_no_rounding_mode_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_double_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_dsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_equal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_exp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expand_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_expm1_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_fftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_ifft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfft2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_fft_irfftn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flatten_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_flipud_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_float_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_gather_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_geqrf_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_half_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hsplit_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_hstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_index_fill_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_inner_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isclose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_isreal_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_kron_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cholesky_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cond_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_cross_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_det_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eig_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_eigvalsh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_householder_product_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_inv_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_factor_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_lu_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_matrix_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_hermitian_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_pinv_singular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_slogdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_ex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_solve_triangular_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_svdvals_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_tensorsolve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_linalg_vector_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log10_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log2_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_log_softmax_with_dtype_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logcumsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logdet_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_not_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logical_xor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logspace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_logsumexp_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_lu_unpack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mT_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_cumprod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_normalize_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_sum_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_masked_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_meshgrid_variadic_tensors_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_mul_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_narrow_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_empty_strided_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_full_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_new_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv2d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_conv3d_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_l1_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_constant_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pad_reflect_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pairwise_distance_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_pixel_shuffle_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_rms_norm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_triplet_margin_loss_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nn_functional_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_nonzero_static_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ones_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_ormqr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_outer_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pca_lowrank_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_permute_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_pinverse_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_positive_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_prod_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_put_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_qr_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_randn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_repeat_interleave_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_as_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_reshape_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_resolve_neg_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_rsub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scalar_tensor_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_add_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_scatter_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_select_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sgn_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_short_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sin_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sinc_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_slice_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sparse_sampled_addmm_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_split_with_sizes_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sqrt_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_square_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_squeeze_multiple_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_stack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_std_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sub_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_sum_to_size_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_svd_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_along_dim_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_take_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tan_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_tanh_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_to_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trace_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_transpose_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_trapz_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_triangular_solve_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unbind_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unfold_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsafe_chunk_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_copy_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_unsqueeze_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_mean_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_var_unbiased_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_view_as_real_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_vstack_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_where_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_conj_view_zeros_like_cpu_complex64, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___getitem___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view___rpow___cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__chunk_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_char_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs__conversions_short_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcdiv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_as_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_broadcast_to_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_constant_pad_nd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_contiguous_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_count_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_hfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_ifftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_fft_irfftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_flip_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isfinite_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_isreal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svd_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_svdvals_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linalg_vector_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log1p_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logaddexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_logical_not_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_meshgrid_list_of_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_movedim_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ne_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_neg_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_new_zeros_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_pixel_unshuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_positive_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_ravel_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_repeat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_roll_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_rsub_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sigmoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinc_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_squeeze_multiple_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_sum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tanh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_transpose_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_true_divide_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unbind_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__refs_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_abs_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_acosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addcmul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmm_decomposed_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_addmv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_all_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_angle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_any_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_argwhere_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_as_strided_partial_views_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_asin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_atleast_2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bfloat16_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_block_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_bmm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_broadcast_tensors_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_byte_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cartesian_prod_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_chalf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_inverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cholesky_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_column_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_combinations_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_corrcoef_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cos_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cosh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cov_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cross_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_cumulative_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagflat_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diagonal_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_diff_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_div_no_rounding_mode_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_double_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_dstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_einsum_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_permuted_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_empty_strided_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_equal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_exp2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expand_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_expm1_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_eye_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_fftn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_hfft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_ifft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fft_irfft2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_flipud_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_float_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_full_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_gather_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_half_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_hstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_imag_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_fill_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_index_select_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_inner_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_int_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isinf_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_isnan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_istft_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_jiterator_binary_return_by_ref_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_kron_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lerp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_cond_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_det_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_diagonal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_eig_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_householder_product_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_inv_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_factor_ex_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_ldl_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lstsq_grad_oriented_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_factor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_lu_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_matrix_power_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_pinv_hermitian_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_slogdet_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_solve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorinv_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_tensorsolve_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linalg_vander_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_linspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log10_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log2_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_log_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_and_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_or_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logical_xor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_long_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_lu_unpack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mT_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_logsumexp_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_normalize_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_scatter_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_masked_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mean_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_mul_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_narrow_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_new_full_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_channel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv2d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose1d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_conv_transpose3d_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_l1_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_linear_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_circular_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_constant_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_reflect_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pad_replicate_negative_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pairwise_distance_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_pixel_shuffle_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_softmin_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nn_functional_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_nonzero_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_norm_fro_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_normal_in_place_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ones_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_ormqr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pca_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_permute_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_pinverse_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_put_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_qr_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reciprocal_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_repeat_interleave_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_reshape_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resize_as__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_resolve_conj_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_rot90_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_scalar_tensor_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sgn_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sin_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sinh_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_slice_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_softmax_with_dtype_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_sqrt_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_square_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_squeeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_stack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_std_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_svd_lowrank_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_t_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_take_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tan_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tensor_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trace_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapezoid_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_trapz_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_tril_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_triu_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unflatten_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unfold_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_chunk_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsafe_split_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_unsqueeze_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_var_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vdot_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_as_real_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_copy_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_view_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vsplit_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_vstack_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_where_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zero__cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_conj_view_zeros_like_cpu_complex128, test/test_ops.py::TestMathBitsCPU::test_neg_view_H_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___radd___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmod___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rmul___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rpow___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view___rsub___cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__chunk_cat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__native_batch_norm_legit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_T_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_bfloat16_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_char_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs__conversions_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_acosh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_addcmul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_any_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_asinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_column_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_conj_physical_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_dsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eq_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_erfinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_frac_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_index_select_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isclose_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_svdvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log1p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_and_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_or_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logical_xor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_native_layer_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_new_zeros_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_alpha_dropout_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_celu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_glu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mish_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_prelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_smooth_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_nn_functional_threshold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_randn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_real_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reciprocal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_round_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_signbit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sinc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_log_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_ndtr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_spherical_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_square_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_sum_to_size_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tan_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_tensor_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_to_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_true_divide_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_unfold_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_view_as_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vsplit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_vstack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__refs_where_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__segment_reduce_offsets_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_acos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_add_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addcdiv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_alias_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_all_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_arange_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_partial_views_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_as_strided_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_asin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atan2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_atleast_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_block_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_broadcast_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_bucketize_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_byte_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cartesian_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cauchy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cdouble_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ceil_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chalf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cholesky_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_chunk_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_clone_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_complex_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_conj_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_constant_pad_nd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_copysign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cos_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_count_nonzero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cummin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumsum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_cumulative_trapezoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_deg2rad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_diagonal_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_dist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_no_rounding_mode_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_div_trunc_rounding_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_double_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_empty_strided_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_equal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_erfc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_exp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expand_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_expm1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_eye_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_fftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_hfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ifftshift_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_ihfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_irfftn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fft_rfft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flip_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fliplr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_flipud_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_float_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_floor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_fmod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_full_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_gather_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ge_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_geometric_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_grid_sampler_2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_half_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histc_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_histogramdd_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_hypot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_i0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_index_reduce_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_inner_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isfinite_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isneginf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isposinf_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_isreal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_jiterator_binary_return_by_ref_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_le_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_cond_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_det_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_diagonal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eig_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_eigvals_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_ldl_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_factor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_power_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_matrix_rank_hermitian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_norm_subgradients_at_zero_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_pinv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_slogdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_solve_triangular_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vander_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vecdot_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linalg_vector_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_linspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp2_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logcumsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logdet_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logical_not_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logit_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_solve_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_lu_unpack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mH_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_amax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_argmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_cumprod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_fill_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_log_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logaddexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_logsumexp_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_prod_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_softmin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_std_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_masked_var_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_pool2d_with_indices_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_max_reduction_with_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mean_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_median_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_list_of_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_meshgrid_variadic_tensors_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_min_reduction_no_dim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_minimum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_movedim_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_msort_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mul_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_multinomial_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mv_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nan_to_num_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nanquantile_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nansum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_copy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_narrow_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_batch_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_native_dropout_backward_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_empty_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_full_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_new_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_avg_pool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_binary_cross_entropy_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_channel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_conv_transpose3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_cosine_similarity_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_dropout3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_embedding_bag_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_fractional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_gaussian_nll_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_grid_sample_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_hinge_embedding_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_huber_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_instance_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_linear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_interpolate_trilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_kl_div_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_l1_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_leaky_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_local_response_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_logsigmoid_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_margin_ranking_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_pool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool1d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool2d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool3d_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_max_unpool3d_grad_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_mse_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_constant_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_reflect_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pad_replicate_negative_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pdist_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_shuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_pixel_unshuffle_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_relu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_rrelu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_selu_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softmin_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_softsign_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_bilinear_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_nn_functional_upsample_nearest_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_norm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_normal_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ones_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ormqr_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_outer_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pca_lowrank_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_permute_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_pinverse_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_polygamma_polygamma_n_4_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rand_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randint_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_randn_like_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_ravel_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_renorm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_repeat_interleave_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_reshape_as_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resize_as__cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_resolve_neg_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_round_decimals_neg_3_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_rsub_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scalar_tensor_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_scatter_reduce_amin_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sgn_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_bartlett_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_exponential_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_gaussian_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_general_cosine_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hamming_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_signal_windows_hann_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sinh_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_slice_scatter_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_softmax_with_dtype_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sparse_sampled_addmm_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_j1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_bessel_y1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_v_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_erfcx_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i0e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_i1e_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_laguerre_polynomial_l_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_legendre_polynomial_p_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_polygamma_special_polygamma_n_0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k0_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_scaled_modified_bessel_k1_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_t_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_u_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_shifted_chebyshev_polynomial_w_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_special_zeta_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_split_with_sizes_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sqrt_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_squeeze_multiple_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stack_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_mean_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_std_unbiased_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_stft_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_sum_cpu_float64, test/test_ops.py::TestMathBitsCPU::test_neg_view_t_copy_cpu_float64, 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test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_histc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_igammac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_istft_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ldexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_householder_product_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_matrix_rank_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log1p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_maximum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_cosine_similarity_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_hinge_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bicubic_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_pow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_remainder_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_reshape_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_entr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_special_zeta_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_vstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_autocast_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_or_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_shapes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_bucketize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_byte_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ceil_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_column_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_combinations_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_addmm_decomposed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atan2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_baddbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_block_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_broadcast_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cartesian_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cdouble_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cholesky_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cov_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_half_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_det_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_linalg_vector_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_glu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_threshold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_real_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_i1e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_special_xlog1py_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_transpose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_triangular_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rdiv___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp___rmod___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__segment_reduce_offsets_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addbmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_addr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_as_strided_partial_views_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_asinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_bmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cfloat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_chalf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cholesky_inverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clamp_min_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_conj_physical_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_copysign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_deg2rad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diag_embed_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_div_floor_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flip_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_kron_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cond_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mT_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_log_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_logsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_masked_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_min_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_minimum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gaussian_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_instance_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_max_unpool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_circular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_pdist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_silu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softmin_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_ormqr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_polygamma_polygamma_n_4_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_repeat_interleave_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_round_decimals_neg_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sgn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_split_with_sizes_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_squeeze_multiple_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_std_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_sum_to_size_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_svd_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_tensordot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_trunc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_vsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_crossref_backward_no_amp_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diagflat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_diff_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_einsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_permuted_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_eq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_equal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_erfinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_expand_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_fftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_hfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ifftshift_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_ihfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_float_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_floor_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_fmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_frac_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geometric_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_geqrf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_grid_sampler_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hash_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hsplit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_hypot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_index_add_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_index_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_isreal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_jiterator_unary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_kthvalue_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_le_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_eigvalsh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_ldl_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_lstsq_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_pinv_hermitian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_slogdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_svdvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vander_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log10_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_normal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logdet_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_or_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logical_xor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_cumprod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_softmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_max_reduction_with_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_min_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_msort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_multinomial_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nan_to_num_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanmedian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_native_dropout_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nextafter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_bag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_embedding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_gelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_interpolate_trilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_leaky_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_linear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_max_unpool3d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multi_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_constant_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_pixel_unshuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_prelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_relu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_silu_complex_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softplus_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_softsign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nn_functional_upsample_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_pca_lowrank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_permute_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_positive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_quantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_randn_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_repeat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resize_as__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_roll_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_rsqrt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sign_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_blackman_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_general_cosine_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_hann_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_signbit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sinh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_slice_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sparse_sampled_addmm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_j1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_bessel_y1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_chebyshev_polynomial_w_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_erfcx_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_i0e_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_special_spherical_bessel_j0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_take_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_to_sparse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_torch__scaled_mm_cpu_float8_e4m3fn, test/test_ops.py::TestFakeTensorCPU::test_fake_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_tril_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_triu_indices_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unbind_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unfold_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_consecutive_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unique_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unravel_index_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_fake_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_vdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_view_as_real_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_fake_view_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_where_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zero__cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_fake_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_H_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_T_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___getitem___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___radd___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rmatmul___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___ror___cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rpow___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops___rsub___cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__batch_norm_with_update_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__segment_reduce_lengths_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__softmax_backward_data_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops__upsample_bilinear2d_aa_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_abs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_acosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addcmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_addmv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_alias_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_allclose_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_angle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_any_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argsort_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_argwhere_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_as_strided_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_asin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_atleast_3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bernoulli_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bfloat16_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bincount_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_and_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_left_shift_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bitwise_xor_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_bool_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_broadcast_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cat_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_char_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clamp_max_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_clone_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_complex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_conj_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_constant_pad_nd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_contiguous_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_corrcoef_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cos_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cosh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_count_nonzero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cross_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cummax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_cumulative_trapezoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diag_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_diagonal_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_digamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dist_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_no_rounding_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_div_trunc_rounding_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_double_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_dstack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_empty_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_erf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_expm1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_fftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_hfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ifftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_ihfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_irfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfft2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fft_rfftn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fliplr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_flipud_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_float_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_floor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_fmod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_frexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_full_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gather_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gcd_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ge_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gradient_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_gt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_hash_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_heaviside_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogram_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_histogramdd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_igamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_imag_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_put_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_index_reduce_amin_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_inner_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isfinite_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isneginf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_isposinf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_item_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lcm_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lerp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lgamma_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_cholesky_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eig_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_eigvals_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_inv_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_factor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_ldl_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_factor_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_lu_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_power_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_matrix_rank_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_multi_dot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_pinv_singular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_ex_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_solve_triangular_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_svd_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorinv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_tensorsolve_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linalg_vecdot_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logcumsumexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_and_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logical_not_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logit_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_long_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lt_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_lu_unpack_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mH_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_argmax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_cumsum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_fill_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_logaddexp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_select_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_masked_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matmul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_matrix_exp_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_max_reduction_no_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_median_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_min_binary_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mode_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_movedim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mul_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mv_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nanquantile_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nansum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_narrow_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_native_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ne_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_empty_strided_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_new_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_alpha_dropout_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_avg_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_batch_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_celu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_channel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_cross_entropy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_ctc_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_dropout3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_elu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_grid_sample_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardswish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_hardtanh_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_area_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_kl_div_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_local_response_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_logsigmoid_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_pool2d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mish_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_normalize_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_one_hot_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_reflect_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pairwise_distance_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_relu6_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rms_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_rrelu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_selu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_nonzero_static_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_fro_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_inf_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_norm_nuc_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_normal_in_place_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ones_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_outer_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_permute_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_pinverse_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_2_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_polygamma_polygamma_n_3_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_prod_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_qr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rad2deg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rand_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randint_like_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_randn_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_ravel_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reciprocal_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_renorm_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_reshape_as_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_resolve_neg_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_round_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_rsub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scalar_tensor_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_amax_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_scatter_reduce_sum_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_select_scatter_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_short_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_exponential_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_gaussian_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_general_hamming_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_signal_windows_kaiser_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sparse_mm_reduce_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_airy_ai_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_bessel_y0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_hermite_polynomial_h_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_i1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_laguerre_polynomial_l_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_legendre_polynomial_p_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_log_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_i0_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_modified_bessel_k1_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtr_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_ndtri_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_split_list_args_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_square_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_squeeze_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_std_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_stft_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_sub_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_t_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_take_along_dim_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tan_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_tensor_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_to_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_topk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_transpose_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_trapz_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_triu_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_true_divide_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unbind_copy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unflatten_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_uniform_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_chunk_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsafe_split_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_unsqueeze_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_mean_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_var_unbiased_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_view_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_pointwise_ops_xlogy_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_arange_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_linspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_logspace_tensor_overload_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout__refs_zeros_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_arange_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_bool, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_full_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_int8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_linspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_int32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex128, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_logspace_tensor_overload_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_ones_cpu_uint8, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_bfloat16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_complex64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float32, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_float64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int16, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int64, test/test_ops.py::TestFakeTensorCPU::test_strided_layout_zeros_cpu_int8, test/test_ops.py::TestTagsCPU::test_tags_H_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___getitem___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rpow___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags___rsub___cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__batch_norm_with_update_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__chunk_cat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__native_batch_norm_legit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_bool_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_chalf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_float_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_half_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_int_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_polar_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs__conversions_short_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_abs_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_acos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_acosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcdiv_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_addcmul_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_alias_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_all_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_amin_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_arange_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_partial_views_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_as_strided_scatter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_asinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_bitwise_xor_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_block_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_broadcast_to_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clamp_min_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_clone_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_conj_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_constant_pad_nd_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_copysign_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cos_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cosh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_count_nonzero_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_cumsum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_deg2rad_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diag_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_diagonal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_digamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_div_floor_rounding_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_dstack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_erfc_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_as_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expand_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_expm1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_exponential_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_eye_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_fftshift_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_hfft_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ifftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_ihfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_irfftn_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fft_rfft2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flatten_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flip_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_flipud_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_floor_divide_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmax_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_fmod_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frac_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_frexp_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_geometric_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_gt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_hsplit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_igamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_add_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_index_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isclose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isinf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isnan_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isneginf_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_isreal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_item_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lcm_cpu_int64, test/test_ops.py::TestTagsCPU::test_tags__refs_le_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_lgamma_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_diagonal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linalg_vecdot_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_linspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log10_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log1p_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logaddexp2_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_logspace_tensor_overload_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_masked_fill_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_list_of_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_meshgrid_variadic_tensors_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_minimum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nan_to_num_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_narrow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_native_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ne_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_neg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_new_zeros_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nextafter_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_elu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_glu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_group_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_hardshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_huber_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_layer_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_log_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_margin_ranking_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_mse_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_pixel_shuffle_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_poisson_nll_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_prelu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_selu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_smooth_l1_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softmax_with_dtype_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softplus_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_softshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_tanhshrink_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_nn_functional_triplet_margin_loss_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_norm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_normal_number_mean_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_ones_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_positive_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_pow_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rad2deg_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_real_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_remainder_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_renorm_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_repeat_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_reshape_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_round_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_rsub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sigmoid_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_signbit_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sinh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j0_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_bessel_j1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_entr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_erfcx_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_i1e_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_log_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_ndtr_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_ndtri_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_special_xlog1py_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_split_with_sizes_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sqrt_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_square_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_copy_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_squeeze_multiple_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_stack_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_std_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sub_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_sum_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_t_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tanh_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_tensor_split_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_transpose_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_cpu_float32, test/test_ops.py::TestTagsCPU::test_tags__refs_triu_indices_cpu_int64, 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2025-08-14T21:58:41.6804630Z 
2025-08-14T21:58:41.6805140Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
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2025-08-14T22:02:01.6092280Z 
2025-08-14T22:02:01.6092760Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_b06a96bdb73a7f80_.log
2025-08-14T22:02:01.6672260Z Running 2124 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unflatten_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unfold_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unfold_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_uniform_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_consecutive_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unravel_index_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_chunk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_split_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_mean_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_mean_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_complex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_real_cpu_complex64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vsplit_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vstack_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_where_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_xlogy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zero__cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cond_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cross_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_det_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_diagonal_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eig_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvalsh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_householder_product_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_power_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_multi_dot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_slogdet_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_triangular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svd_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svdvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorsolve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vander_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vecdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vector_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_with_anomaly_detection_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_add_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_binary_cross_entropy_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_diagonal_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_div_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_expand_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_manyview_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_view_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_lgamma_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log1p_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_softmax_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_median_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_min_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_mul_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_permute_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_different_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_error_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_same_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sdpa_backend0_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_last_batched_probability_first_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok
2025-08-14T22:02:01.7228020Z 
2025-08-14T22:02:02.1263830Z Running test batch 'tests to run' cost 3953.0 seconds
2025-08-14T22:02:02.5989670Z 
2025-08-14T22:02:02.5989980Z real	65m58.502s
2025-08-14T22:02:02.5990170Z user	154m16.417s
2025-08-14T22:02:02.5990310Z sys	22m39.276s
2025-08-14T22:02:02.5990440Z + assert_git_not_dirty
2025-08-14T22:02:02.5990630Z + [[ macos-py3-arm64 != *rocm* ]]
2025-08-14T22:02:02.5990840Z + [[ macos-py3-arm64 != *xla* ]]
2025-08-14T22:02:02.5998120Z ++ git status --porcelain
2025-08-14T22:02:02.5998760Z ++ grep -v '?? third_party'
2025-08-14T22:02:06.7798040Z ++ true
2025-08-14T22:02:06.7799150Z + git_status=
2025-08-14T22:02:06.7799310Z + [[ -n '' ]]
2025-08-14T22:02:06.7799470Z + [[ 1 == 1 ]]
2025-08-14T22:02:06.7799600Z + test_libtorch
2025-08-14T22:02:06.7799730Z + [[ 0 == \1 ]]
2025-08-14T22:02:06.7799860Z + test_custom_script_ops
2025-08-14T22:02:06.7800020Z + print_cmake_info
2025-08-14T22:02:06.7803970Z ++ which cmake
2025-08-14T22:02:06.7844840Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/cmake
2025-08-14T22:02:06.7845220Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/cmake
2025-08-14T22:02:06.7845560Z + echo /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/cmake
2025-08-14T22:02:06.7848170Z ++ dirname /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/cmake
2025-08-14T22:02:06.7884080Z + CONDA_INSTALLATION_DIR=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin
2025-08-14T22:02:06.7884480Z + ls -la /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/../lib
2025-08-14T22:02:06.7958710Z total 0
2025-08-14T22:02:06.7959020Z drwxr-xr-x  3 ec2-user  staff   96 Aug 14 20:55 .
2025-08-14T22:02:06.7959290Z drwxr-xr-x  8 ec2-user  staff  256 Aug 14 20:55 ..
2025-08-14T22:02:06.7959560Z drwxr-xr-x  3 ec2-user  staff   96 Aug 14 20:55 python3.12
2025-08-14T22:02:06.7959940Z + echo 'Testing custom script operators'
2025-08-14T22:02:06.7960180Z Testing custom script operators
2025-08-14T22:02:06.7960370Z + pushd test/custom_operator
2025-08-14T22:02:06.7960670Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-14T22:02:06.7961000Z + rm -rf build
2025-08-14T22:02:06.8004520Z + mkdir build
2025-08-14T22:02:06.8025090Z + pushd build
2025-08-14T22:02:06.8025520Z ~/runner/_work/pytorch/pytorch/test/custom_operator/build ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-14T22:02:06.8028740Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())'
2025-08-14T22:02:06.8869610Z + SITE_PACKAGES=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages
2025-08-14T22:02:06.8870150Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch
2025-08-14T22:02:06.8870610Z + /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/bin/cmake ..
2025-08-14T22:02:07.1919730Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-08-14T22:02:07.2542980Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-08-14T22:02:07.2960380Z -- Detecting C compiler ABI info
2025-08-14T22:02:07.4627760Z -- Detecting C compiler ABI info - done
2025-08-14T22:02:07.4673040Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-08-14T22:02:07.4688380Z -- Detecting C compile features
2025-08-14T22:02:07.4698510Z -- Detecting C compile features - done
2025-08-14T22:02:07.4919770Z -- Detecting CXX compiler ABI info
2025-08-14T22:02:07.5897890Z -- Detecting CXX compiler ABI info - done
2025-08-14T22:02:07.5936150Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-08-14T22:02:07.5937800Z -- Detecting CXX compile features
2025-08-14T22:02:07.5941510Z -- Detecting CXX compile features - done
2025-08-14T22:02:07.6368020Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-08-14T22:02:07.6368650Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-08-14T22:02:07.6368880Z Call Stack (most recent call first):
2025-08-14T22:02:07.6369390Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-08-14T22:02:07.6369880Z   CMakeLists.txt:9 (find_package)
2025-08-14T22:02:07.6370000Z 
2025-08-14T22:02:07.6370010Z 
2025-08-14T22:02:07.6371990Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-08-14T22:02:07.6373090Z -- Configuring done (0.6s)
2025-08-14T22:02:07.6488100Z -- Generating done (0.0s)
2025-08-14T22:02:07.6513450Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build
2025-08-14T22:02:07.6553460Z + make VERBOSE=1
2025-08-14T22:02:07.6604070Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -S/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator -B/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build --check-build-system CMakeFiles/Makefile.cmake 0
2025-08-14T22:02:07.6652390Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build//CMakeFiles/progress.marks
2025-08-14T22:02:07.6689990Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/Makefile2 all
2025-08-14T22:02:07.6704220Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/depend
2025-08-14T22:02:07.6719660Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/custom_ops.dir/DependInfo.cmake "--color="
2025-08-14T22:02:07.6780060Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/build
2025-08-14T22:02:07.6846770Z [ 25%] Building CXX object CMakeFiles/custom_ops.dir/op.cpp.o
2025-08-14T22:02:07.6849920Z /Library/Developer/CommandLineTools/usr/bin/clang++ -Dcustom_ops_EXPORTS -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -fPIC -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/custom_ops.dir/op.cpp.o -MF CMakeFiles/custom_ops.dir/op.cpp.o.d -o CMakeFiles/custom_ops.dir/op.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/op.cpp
2025-08-14T22:02:11.5960330Z [ 50%] Linking CXX shared library libcustom_ops.dylib
2025-08-14T22:02:11.5961850Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/custom_ops.dir/link.txt --verbose=1
2025-08-14T22:02:11.5999590Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -dynamiclib -Wl,-headerpad_max_install_names -o libcustom_ops.dylib -install_name @rpath/libcustom_ops.dylib CMakeFiles/custom_ops.dir/op.cpp.o -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libc10.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate 
2025-08-14T22:02:11.7050730Z [ 50%] Built target custom_ops
2025-08-14T22:02:11.7052260Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/depend
2025-08-14T22:02:11.7069070Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake "--color="
2025-08-14T22:02:11.7128030Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/build
2025-08-14T22:02:11.7195890Z [ 75%] Building CXX object CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o
2025-08-14T22:02:11.7199260Z /Library/Developer/CommandLineTools/usr/bin/clang++  -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -MF CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d -o CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/test_custom_ops.cpp
2025-08-14T22:02:15.2841600Z [100%] Linking CXX executable test_custom_ops
2025-08-14T22:02:15.2842990Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/test_custom_ops.dir/link.txt --verbose=1
2025-08-14T22:02:15.2880930Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -Wl,-search_paths_first -Wl,-headerpad_max_install_names CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -o test_custom_ops -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib libcustom_ops.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/lib/libc10.dylib 
2025-08-14T22:02:15.3774820Z [100%] Built target test_custom_ops
2025-08-14T22:02:15.3778260Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles 0
2025-08-14T22:02:15.3818350Z + popd
2025-08-14T22:02:15.3818490Z + python test_custom_ops.py -v
2025-08-14T22:02:15.3818800Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-08-14T22:02:16.8993610Z 
2025-08-14T22:02:16.8993850Z Running tests...
2025-08-14T22:02:16.8994150Z ----------------------------------------------------------------------
2025-08-14T22:02:16.8994580Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-08-14T22:02:17.0336120Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators.test_abstract_impl_pystub_faketensor) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-08-14T22:02:17.0336960Z   nnz = ctx.create_unbacked_symint()
2025-08-14T22:02:17.0376530Z ok (0.138s)
2025-08-14T22:02:17.0405300Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators.test_abstract_impl_pystub_meta) ... ok (0.003s)
2025-08-14T22:02:17.0412900Z   test_calling_custom_op (__main__.TestCustomOperators.test_calling_custom_op) ... ok (0.001s)
2025-08-14T22:02:17.0608900Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators.test_calling_custom_op_inside_script_module) ... ok (0.020s)
2025-08-14T22:02:17.0612520Z   test_calling_custom_op_string (__main__.TestCustomOperators.test_calling_custom_op_string) ... ok (0.000s)
2025-08-14T22:02:17.0624130Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators.test_calling_custom_op_with_autograd) ... /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages/torch/autograd/graph.py:841: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/torch/csrc/autograd/engine.cpp:1296.)
2025-08-14T22:02:17.0625990Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-08-14T22:02:17.0628310Z ok (0.002s)
2025-08-14T22:02:17.0631770Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators.test_calling_custom_op_with_autograd_in_nograd_mode) ... ok (0.000s)
2025-08-14T22:02:17.0633170Z   test_custom_library_is_loaded (__main__.TestCustomOperators.test_custom_library_is_loaded) ... ok (0.000s)
2025-08-14T22:02:17.0902860Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators.test_dynamo_pystub_suggestion) ... ok (0.027s)
2025-08-14T22:02:17.0907460Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_incorrect_abstract_impl_pystub) ... ok (0.000s)
2025-08-14T22:02:17.0910630Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_no_abstract_impl_pystub) ... ok (0.000s)
2025-08-14T22:02:17.0960420Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators.test_saving_and_loading_script_module_with_custom_op) ... ok (0.005s)
2025-08-14T22:02:17.0960910Z 
2025-08-14T22:02:17.0961020Z ----------------------------------------------------------------------
2025-08-14T22:02:17.0961260Z Ran 12 tests in 0.197s
2025-08-14T22:02:17.0961360Z 
2025-08-14T22:02:17.0961410Z OK
2025-08-14T22:02:17.0961480Z 
2025-08-14T22:02:17.0961530Z Generating XML reports...
2025-08-14T22:02:17.0982920Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20250814220216.xml
2025-08-14T22:02:17.4327350Z + python model.py --export-script-module=model.pt
2025-08-14T22:02:18.2245830Z + build/test_custom_ops ./model.pt
2025-08-14T22:02:18.4208170Z [W814 22:02:18.312785000 engine.cpp:1296] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-08-14T22:02:18.4896230Z ok
2025-08-14T22:02:18.4910900Z + popd
2025-08-14T22:02:18.4911050Z ~/runner/_work/pytorch/pytorch
2025-08-14T22:02:18.4911550Z + assert_git_not_dirty
2025-08-14T22:02:18.4911740Z + [[ macos-py3-arm64 != *rocm* ]]
2025-08-14T22:02:18.4911940Z + [[ macos-py3-arm64 != *xla* ]]
2025-08-14T22:02:18.4918120Z ++ git status --porcelain
2025-08-14T22:02:18.4918860Z ++ grep -v '?? third_party'
2025-08-14T22:02:18.9314570Z ++ true
2025-08-14T22:02:18.9315610Z + git_status=
2025-08-14T22:02:18.9315810Z + [[ -n '' ]]
2025-08-14T22:02:18.9362960Z ##[group]Run cat test/**/*_toprint.log || true
2025-08-14T22:02:18.9363200Z cat test/**/*_toprint.log || true
2025-08-14T22:02:19.0222190Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:19.0222400Z env:
2025-08-14T22:02:19.0222520Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:19.0222680Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:19.0222860Z   TEST_CONFIG: default
2025-08-14T22:02:19.0223000Z   SHARD_NUMBER: 1
2025-08-14T22:02:19.0223120Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:19.0223250Z   PR_BODY: 
2025-08-14T22:02:19.0223370Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:19.0223600Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:19.0223850Z ##[endgroup]
2025-08-14T22:02:19.0762720Z cat: test/**/*_toprint.log: No such file or directory
2025-08-14T22:02:19.0856410Z Prepare all required actions
2025-08-14T22:02:19.0856650Z Getting action download info
2025-08-14T22:02:19.2417310Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-08-14T22:02:19.5081600Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-08-14T22:02:19.7583310Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-08-14T22:02:19.7583530Z with:
2025-08-14T22:02:19.7583640Z   use-gha: true
2025-08-14T22:02:19.7583840Z   file-suffix: test-default-1-3-macos-m1-stable_48126518102
2025-08-14T22:02:19.7584090Z   s3-bucket: gha-artifacts
2025-08-14T22:02:19.7584240Z env:
2025-08-14T22:02:19.7584360Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:19.7584530Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:19.7584710Z   TEST_CONFIG: default
2025-08-14T22:02:19.7584850Z   SHARD_NUMBER: 1
2025-08-14T22:02:19.7584980Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:19.7585120Z   PR_BODY: 
2025-08-14T22:02:19.7585250Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:19.7585490Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:19.7585740Z ##[endgroup]
2025-08-14T22:02:19.7634840Z ##[group]Run actions/upload-artifact@v4
2025-08-14T22:02:19.7635030Z with:
2025-08-14T22:02:19.7635280Z   name: test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip
2025-08-14T22:02:19.7635570Z   retention-days: 14
2025-08-14T22:02:19.7635720Z   if-no-files-found: warn
2025-08-14T22:02:19.7635870Z   path: test/**/*.json
2025-08-14T22:02:19.7636110Z   compression-level: 6
2025-08-14T22:02:19.7636250Z   overwrite: false
2025-08-14T22:02:19.7636390Z   include-hidden-files: false
2025-08-14T22:02:19.7636550Z env:
2025-08-14T22:02:19.7636660Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:19.7636830Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:19.7637070Z   TEST_CONFIG: default
2025-08-14T22:02:19.7637200Z   SHARD_NUMBER: 1
2025-08-14T22:02:19.7637340Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:19.7637470Z   PR_BODY: 
2025-08-14T22:02:19.7637600Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:19.7637830Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:19.7638070Z ##[endgroup]
2025-08-14T22:02:20.1603030Z With the provided path, there will be 6 files uploaded
2025-08-14T22:02:20.1606590Z Artifact name is valid!
2025-08-14T22:02:20.1607570Z Root directory input is valid!
2025-08-14T22:02:20.2671580Z Beginning upload of artifact content to blob storage
2025-08-14T22:02:20.3184320Z Uploaded bytes 45615
2025-08-14T22:02:20.3317610Z Finished uploading artifact content to blob storage!
2025-08-14T22:02:20.3319140Z SHA256 digest of uploaded artifact zip is 69a1f3ce0b53eaf6cdb52af240c4ccd6a1c755e8b3299c367e86a3e8c24094df
2025-08-14T22:02:20.3320060Z Finalizing artifact upload
2025-08-14T22:02:20.4122010Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip.zip successfully finalized. Artifact ID 3769674909
2025-08-14T22:02:20.4123650Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip has been successfully uploaded! Final size is 45615 bytes. Artifact ID is 3769674909
2025-08-14T22:02:20.4140240Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976255045/artifacts/3769674909
2025-08-14T22:02:20.4256330Z ##[group]Run actions/upload-artifact@v4
2025-08-14T22:02:20.4256730Z with:
2025-08-14T22:02:20.4257190Z   name: test-reports-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip
2025-08-14T22:02:20.4257790Z   retention-days: 14
2025-08-14T22:02:20.4258090Z   if-no-files-found: ignore
2025-08-14T22:02:20.4258440Z   path: test/**/*.xml
test/**/*.csv

2025-08-14T22:02:20.4258790Z   compression-level: 6
2025-08-14T22:02:20.4259090Z   overwrite: false
2025-08-14T22:02:20.4259380Z   include-hidden-files: false
2025-08-14T22:02:20.4259700Z env:
2025-08-14T22:02:20.4259960Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:20.4260900Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:20.4261290Z   TEST_CONFIG: default
2025-08-14T22:02:20.4261570Z   SHARD_NUMBER: 1
2025-08-14T22:02:20.4261850Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:20.4262120Z   PR_BODY: 
2025-08-14T22:02:20.4262390Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:20.4262840Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:20.4263310Z ##[endgroup]
2025-08-14T22:02:20.8378610Z With the provided path, there will be 355 files uploaded
2025-08-14T22:02:20.8381370Z Artifact name is valid!
2025-08-14T22:02:20.8381830Z Root directory input is valid!
2025-08-14T22:02:20.8989710Z Beginning upload of artifact content to blob storage
2025-08-14T22:02:21.2509100Z Uploaded bytes 1150180
2025-08-14T22:02:21.2656520Z Finished uploading artifact content to blob storage!
2025-08-14T22:02:21.2658720Z SHA256 digest of uploaded artifact zip is 2e774708a12ba7e3a82ab2c75e59992cf333fd372c042f2be9e4a3dcd244acb6
2025-08-14T22:02:21.2659800Z Finalizing artifact upload
2025-08-14T22:02:21.3325920Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip.zip successfully finalized. Artifact ID 3769675005
2025-08-14T22:02:21.3328280Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip has been successfully uploaded! Final size is 1150180 bytes. Artifact ID is 3769675005
2025-08-14T22:02:21.3346740Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976255045/artifacts/3769675005
2025-08-14T22:02:21.3485240Z ##[group]Run actions/upload-artifact@v4
2025-08-14T22:02:21.3485650Z with:
2025-08-14T22:02:21.3486280Z   name: logs-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip
2025-08-14T22:02:21.3486870Z   retention-days: 14
2025-08-14T22:02:21.3487200Z   if-no-files-found: ignore
2025-08-14T22:02:21.3487580Z   path: usage_log.txt
test/**/*.log

2025-08-14T22:02:21.3487970Z   compression-level: 6
2025-08-14T22:02:21.3488420Z   overwrite: false
2025-08-14T22:02:21.3488750Z   include-hidden-files: false
2025-08-14T22:02:21.3489100Z env:
2025-08-14T22:02:21.3489360Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:21.3489720Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:21.3490100Z   TEST_CONFIG: default
2025-08-14T22:02:21.3490400Z   SHARD_NUMBER: 1
2025-08-14T22:02:21.3490680Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:21.3490970Z   PR_BODY: 
2025-08-14T22:02:21.3491250Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:21.3491760Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:21.3492270Z ##[endgroup]
2025-08-14T22:02:21.7742120Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-08-14T22:02:21.7743200Z The least common ancestor is /Users/ec2-user/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-08-14T22:02:21.7743670Z With the provided path, there will be 399 files uploaded
2025-08-14T22:02:21.7746270Z Artifact name is valid!
2025-08-14T22:02:21.7746840Z Root directory input is valid!
2025-08-14T22:02:21.8371850Z Beginning upload of artifact content to blob storage
2025-08-14T22:02:22.2571060Z Uploaded bytes 1577638
2025-08-14T22:02:22.2744330Z Finished uploading artifact content to blob storage!
2025-08-14T22:02:22.2747060Z SHA256 digest of uploaded artifact zip is a899da5c5642e865759619f021e5acbd1dd8342860a28a75dc236d9dc5380b61
2025-08-14T22:02:22.2748600Z Finalizing artifact upload
2025-08-14T22:02:22.3475330Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip.zip successfully finalized. Artifact ID 3769675110
2025-08-14T22:02:22.3478600Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_48126518102.zip has been successfully uploaded! Final size is 1577638 bytes. Artifact ID is 3769675110
2025-08-14T22:02:22.3504810Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/16976255045/artifacts/3769675110
2025-08-14T22:02:22.3838230Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-08-14T22:02:22.3838840Z with:
2025-08-14T22:02:22.3839170Z   benchmark-results-dir: test/test-reports
2025-08-14T22:02:22.3839590Z   dry-run: false
2025-08-14T22:02:22.3839900Z   schema-version: v3
2025-08-14T22:02:22.3840740Z   github-token: ***
2025-08-14T22:02:22.3841050Z env:
2025-08-14T22:02:22.3841310Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:22.3841680Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:22.3842080Z   TEST_CONFIG: default
2025-08-14T22:02:22.3842390Z   SHARD_NUMBER: 1
2025-08-14T22:02:22.3842690Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:22.3842990Z   PR_BODY: 
2025-08-14T22:02:22.3843260Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:22.3843800Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:22.3844330Z ##[endgroup]
2025-08-14T22:02:22.3868210Z ##[group]Run set -eux
2025-08-14T22:02:22.3868560Z set -eux
2025-08-14T22:02:22.3869090Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:02:22.3869650Z 
2025-08-14T22:02:22.3869910Z DEVICE_NAME=""
2025-08-14T22:02:22.3870250Z DEVICE_TYPE=""
2025-08-14T22:02:22.3870570Z 
2025-08-14T22:02:22.3870870Z if command -v nvidia-smi; then
2025-08-14T22:02:22.3871560Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-08-14T22:02:22.3872340Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-08-14T22:02:22.3873060Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-08-14T22:02:22.3873660Z   python3 -mpip install torch==2.7.1
2025-08-14T22:02:22.3874260Z elif command -v rocminfo; then
2025-08-14T22:02:22.3874870Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-08-14T22:02:22.3875640Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-08-14T22:02:22.3876390Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-08-14T22:02:22.3877140Z   # GPU device name coming from rocminfo instead
2025-08-14T22:02:22.3877560Z   DEVICE_NAME=rocm
2025-08-14T22:02:22.3878140Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-08-14T22:02:22.3878700Z fi
2025-08-14T22:02:22.3878940Z 
2025-08-14T22:02:22.3879250Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-08-14T22:02:22.3879730Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-08-14T22:02:22.3901160Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:22.3901570Z env:
2025-08-14T22:02:22.3901810Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:22.3902140Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:22.3902590Z   TEST_CONFIG: default
2025-08-14T22:02:22.3902860Z   SHARD_NUMBER: 1
2025-08-14T22:02:22.3903120Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:22.3903390Z   PR_BODY: 
2025-08-14T22:02:22.3903630Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:22.3904100Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:22.3904560Z ##[endgroup]
2025-08-14T22:02:22.4176040Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-08-14T22:02:23.0120910Z Collecting boto3==1.35.33
2025-08-14T22:02:23.0144820Z   Using cached boto3-1.35.33-py3-none-any.whl.metadata (6.6 kB)
2025-08-14T22:02:23.0551800Z Collecting psutil==7.0.0
2025-08-14T22:02:23.0574980Z   Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl.metadata (22 kB)
2025-08-14T22:02:23.0714200Z Collecting pynvml==12.0.0
2025-08-14T22:02:23.0734560Z   Using cached pynvml-12.0.0-py3-none-any.whl.metadata (5.4 kB)
2025-08-14T22:02:23.0774110Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.33) (1.35.99)
2025-08-14T22:02:23.0776880Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.33) (1.0.1)
2025-08-14T22:02:23.0779440Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.33) (0.10.4)
2025-08-14T22:02:23.0863890Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 (from pynvml==12.0.0)
2025-08-14T22:02:23.0884440Z   Using cached nvidia_ml_py-12.575.51-py3-none-any.whl.metadata (9.3 kB)
2025-08-14T22:02:23.0933080Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.9.0.post0)
2025-08-14T22:02:23.0938840Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-08-14T22:02:23.0962850Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.17.0)
2025-08-14T22:02:23.1030110Z Using cached boto3-1.35.33-py3-none-any.whl (139 kB)
2025-08-14T22:02:23.1064810Z Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl (239 kB)
2025-08-14T22:02:23.1092040Z Using cached pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-08-14T22:02:23.1113020Z Using cached nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-08-14T22:02:23.2399990Z Installing collected packages: nvidia-ml-py, pynvml, psutil, boto3
2025-08-14T22:02:23.2841060Z   Attempting uninstall: psutil
2025-08-14T22:02:23.2864670Z     Found existing installation: psutil 5.9.8
2025-08-14T22:02:23.2901560Z     Uninstalling psutil-5.9.8:
2025-08-14T22:02:23.2914420Z       Successfully uninstalled psutil-5.9.8
2025-08-14T22:02:23.3856430Z   Attempting uninstall: boto3
2025-08-14T22:02:23.3871060Z     Found existing installation: boto3 1.35.42
2025-08-14T22:02:23.3919990Z     Uninstalling boto3-1.35.42:
2025-08-14T22:02:23.3970460Z       Successfully uninstalled boto3-1.35.42
2025-08-14T22:02:23.4367210Z 
2025-08-14T22:02:23.4403300Z Successfully installed boto3-1.35.33 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0
2025-08-14T22:02:23.4438170Z 
2025-08-14T22:02:23.4447750Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-14T22:02:23.4448090Z [notice] To update, run: pip install --upgrade pip
2025-08-14T22:02:23.4929420Z + DEVICE_NAME=
2025-08-14T22:02:23.4929610Z + DEVICE_TYPE=
2025-08-14T22:02:23.4929790Z + command -v nvidia-smi
2025-08-14T22:02:23.4929990Z + command -v rocminfo
2025-08-14T22:02:23.4930170Z + echo DEVICE_NAME=
2025-08-14T22:02:23.4932000Z + echo DEVICE_TYPE=
2025-08-14T22:02:23.4964500Z ##[group]Run set -eux
2025-08-14T22:02:23.4964670Z set -eux
2025-08-14T22:02:23.4964860Z 
2025-08-14T22:02:23.4965030Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-08-14T22:02:23.4965270Z   echo "Missing github-token input"
2025-08-14T22:02:23.4965490Z   exit 1
2025-08-14T22:02:23.4965650Z fi
2025-08-14T22:02:23.4977340Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:23.4977580Z env:
2025-08-14T22:02:23.4977740Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:23.4977940Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:23.4978150Z   TEST_CONFIG: default
2025-08-14T22:02:23.4978330Z   SHARD_NUMBER: 1
2025-08-14T22:02:23.4978480Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:23.4978650Z   PR_BODY: 
2025-08-14T22:02:23.4978790Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:23.4979060Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:23.4979320Z   DEVICE_NAME: 
2025-08-14T22:02:23.4979470Z   DEVICE_TYPE: 
2025-08-14T22:02:23.4979880Z   GITHUB_TOKEN: ***
2025-08-14T22:02:23.4980230Z ##[endgroup]
2025-08-14T22:02:23.5184000Z + [[ -z *** ]]
2025-08-14T22:02:23.5236710Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-08-14T22:02:23.5237010Z with:
2025-08-14T22:02:23.5237250Z   github-token: ***
2025-08-14T22:02:23.5237420Z env:
2025-08-14T22:02:23.5237580Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:23.5237780Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:23.5237990Z   TEST_CONFIG: default
2025-08-14T22:02:23.5238170Z   SHARD_NUMBER: 1
2025-08-14T22:02:23.5238330Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:23.5238490Z   PR_BODY: 
2025-08-14T22:02:23.5238660Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:23.5238980Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:23.5239270Z   DEVICE_NAME: 
2025-08-14T22:02:23.5239440Z   DEVICE_TYPE: 
2025-08-14T22:02:23.5239590Z ##[endgroup]
2025-08-14T22:02:23.5252090Z ##[group]Run set -eux
2025-08-14T22:02:23.5252270Z set -eux
2025-08-14T22:02:23.5252430Z 
2025-08-14T22:02:23.5252770Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-08-14T22:02:23.5265060Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:23.5265300Z env:
2025-08-14T22:02:23.5265460Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:23.5265660Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:23.5265860Z   TEST_CONFIG: default
2025-08-14T22:02:23.5266040Z   SHARD_NUMBER: 1
2025-08-14T22:02:23.5266200Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:23.5266360Z   PR_BODY: 
2025-08-14T22:02:23.5266510Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:23.5266790Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:23.5267130Z   DEVICE_NAME: 
2025-08-14T22:02:23.5267280Z   DEVICE_TYPE: 
2025-08-14T22:02:23.5267570Z   GITHUB_TOKEN: ***
2025-08-14T22:02:23.5267730Z ##[endgroup]
2025-08-14T22:02:23.5476430Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 16976255045 i-04dd1b1f296f1cb17
2025-08-14T22:02:24.4324910Z setting job-id=48126518102
2025-08-14T22:02:24.4326340Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T22:02:24.4610020Z ##[group]Run set -eux
2025-08-14T22:02:24.4610440Z set -eux
2025-08-14T22:02:24.4610770Z 
2025-08-14T22:02:24.4611380Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-08-14T22:02:24.4612190Z   --schema-version "${SCHEMA_VERSION}" \
2025-08-14T22:02:24.4612740Z   --repo "${REPO}" \
2025-08-14T22:02:24.4613230Z   --head-branch "${HEAD_BRANCH}" \
2025-08-14T22:02:24.4613760Z   --head-sha "${HEAD_SHA}" \
2025-08-14T22:02:24.4614320Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-08-14T22:02:24.4614940Z   --run-attempt "${RUN_ATTEMPT}" \
2025-08-14T22:02:24.4615480Z   --job-id "${JOB_ID}" \
2025-08-14T22:02:24.4615960Z   --job-name "${JOB_NAME}"
2025-08-14T22:02:24.4643040Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:24.4643590Z env:
2025-08-14T22:02:24.4643920Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:24.4644370Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:24.4644840Z   TEST_CONFIG: default
2025-08-14T22:02:24.4645260Z   SHARD_NUMBER: 1
2025-08-14T22:02:24.4645610Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:24.4645960Z   PR_BODY: 
2025-08-14T22:02:24.4646290Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:24.4646920Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:24.4647550Z   DEVICE_NAME: 
2025-08-14T22:02:24.4647910Z   DEVICE_TYPE: 
2025-08-14T22:02:24.4648340Z   SCHEMA_VERSION: v3
2025-08-14T22:02:24.4648750Z   REPO: pytorch/pytorch
2025-08-14T22:02:24.4649210Z   HEAD_BRANCH: refs/heads/main
2025-08-14T22:02:24.4649780Z   HEAD_SHA: 1fc683cf17c8c673044538d10266c00f92987be2
2025-08-14T22:02:24.4650860Z   WORKFLOW_RUN_ID: 16976255045
2025-08-14T22:02:24.4651410Z   RUN_ATTEMPT: 1
2025-08-14T22:02:24.4651820Z   JOB_ID: 48126518102
2025-08-14T22:02:24.4652400Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T22:02:24.4653020Z ##[endgroup]
2025-08-14T22:02:24.4995380Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 1fc683cf17c8c673044538d10266c00f92987be2 --workflow-id 16976255045 --run-attempt 1 --job-id 48126518102 --job-name 'macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)'
2025-08-14T22:02:24.5297150Z ##[group]Run set -eux
2025-08-14T22:02:24.5297360Z set -eux
2025-08-14T22:02:24.5297530Z 
2025-08-14T22:02:24.5297780Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-08-14T22:02:24.5313500Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:24.5313740Z env:
2025-08-14T22:02:24.5313910Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:24.5314110Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:24.5314310Z   TEST_CONFIG: default
2025-08-14T22:02:24.5314490Z   SHARD_NUMBER: 1
2025-08-14T22:02:24.5314650Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:24.5314810Z   PR_BODY: 
2025-08-14T22:02:24.5314970Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:24.5315250Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:24.5315510Z   DEVICE_NAME: 
2025-08-14T22:02:24.5315660Z   DEVICE_TYPE: 
2025-08-14T22:02:24.5315820Z ##[endgroup]
2025-08-14T22:02:24.5516510Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-08-14T22:02:25.4848390Z ##[group]Run set -eux
2025-08-14T22:02:25.4848590Z set -eux
2025-08-14T22:02:25.4848760Z 
2025-08-14T22:02:25.4848990Z # TODO (huydhn): Implement this part
2025-08-14T22:02:25.4849360Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-08-14T22:02:25.4862620Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:25.4862860Z env:
2025-08-14T22:02:25.4863010Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:25.4863210Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:25.4863420Z   TEST_CONFIG: default
2025-08-14T22:02:25.4863590Z   SHARD_NUMBER: 1
2025-08-14T22:02:25.4863760Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:25.4863920Z   PR_BODY: 
2025-08-14T22:02:25.4864080Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:25.4864380Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:25.4864640Z   DEVICE_NAME: 
2025-08-14T22:02:25.4864810Z   DEVICE_TYPE: 
2025-08-14T22:02:25.4864960Z ##[endgroup]
2025-08-14T22:02:25.5066260Z + echo 'dependencies={}'
2025-08-14T22:02:25.5098620Z ##[group]Run set -eux
2025-08-14T22:02:25.5098830Z set -eux
2025-08-14T22:02:25.5099010Z 
2025-08-14T22:02:25.5099200Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-08-14T22:02:25.5099530Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-08-14T22:02:25.5099870Z   # We don't want the job to fail if the directory doesn't exist
2025-08-14T22:02:25.5100150Z   exit 0
2025-08-14T22:02:25.5100310Z fi
2025-08-14T22:02:25.5100460Z 
2025-08-14T22:02:25.5100630Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-08-14T22:02:25.5100970Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:02:25.5101370Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:02:25.5101700Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:02:25.5101940Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:02:25.5102200Z     --dependencies "${DEPENDENCIES}" \
2025-08-14T22:02:25.5102440Z     --dry-run
2025-08-14T22:02:25.5102790Z else
2025-08-14T22:02:25.5103070Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-08-14T22:02:25.5103460Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-08-14T22:02:25.5103750Z     --metadata "${BENCHMARK_METADATA}" \
2025-08-14T22:02:25.5104010Z     --runners "${RUNNER_INFO}" \
2025-08-14T22:02:25.5104250Z     --dependencies "${DEPENDENCIES}"
2025-08-14T22:02:25.5104470Z fi
2025-08-14T22:02:25.5118570Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:25.5118820Z env:
2025-08-14T22:02:25.5118990Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:25.5119190Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:25.5119420Z   TEST_CONFIG: default
2025-08-14T22:02:25.5119600Z   SHARD_NUMBER: 1
2025-08-14T22:02:25.5119760Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:25.5119940Z   PR_BODY: 
2025-08-14T22:02:25.5120100Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:25.5120380Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:25.5120670Z   DEVICE_NAME: 
2025-08-14T22:02:25.5120850Z   DEVICE_TYPE: 
2025-08-14T22:02:25.5121020Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-08-14T22:02:25.5121250Z   DRY_RUN: false
2025-08-14T22:02:25.5122010Z   BENCHMARK_METADATA: {"timestamp": 1755208944, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255045, "run_attempt": 1, "job_id": 48126518102}
2025-08-14T22:02:25.5122990Z   RUNNER_INFO: [{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-230.ec2.internal"}, "name": "", "type": ""}]
2025-08-14T22:02:25.5123510Z   DEPENDENCIES: {}
2025-08-14T22:02:25.5123690Z ##[endgroup]
2025-08-14T22:02:25.5327670Z + [[ ! -d test/test-reports ]]
2025-08-14T22:02:25.5328020Z + [[ false == \t\r\u\e ]]
2025-08-14T22:02:25.5329730Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1755208944, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "1fc683cf17c8c673044538d10266c00f92987be2", "workflow_id": 16976255045, "run_attempt": 1, "job_id": 48126518102}' --runners '[{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-230.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-08-14T22:02:25.6250290Z /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'test_type_hints'}, {'test_file': 'test_public_bindings'}, {'test_file': 'test_cuda'}, {'test_file': 'test_dataloader'}, {'test_file': 'test_sparse'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'doctests'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'export/test_export'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'export/test_serdes'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'export/test_tools'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'export/test_db'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'export/test_passes'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'export/test_swap'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'export/test_nativert'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'test_content_store'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'export/test_experimental'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'export/test_hop'}, {'test_file': 'export/test_converter'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'export/test_serialize'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'export/test_verifier'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'export/test_sparse'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_testing'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'test_quantization'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_package'}, {'test_file': 'test_hop_infra'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'test_autoload'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_functionalization'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'test_transformers'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'test_license'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'test_foreach'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'test_file_check'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'test_native_functions'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_flop_counter'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'test_pytree'}, {'test_file': 'test_fx_passes'}, {'test_file': 'test_fx'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'test_module_tracker'}, {'test_file': 'test_typing'}, {'test_file': 'test_openmp'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'test_namedtensor'}, {'test_file': 'test_openreg'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_meta'}, {'test_file': 'test_show_pickle'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'test_jiterator'}, {'test_file': 'test_optim'}, {'test_file': 'test_decomp'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'test_modules'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'test_torch'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_weak'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_logging'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'test_complex'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'test_ops_jit'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_pruning_op'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'test_utils'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'test_hub'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_stateless'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'test_ops'}, {'test_file': 'test_dispatch'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_masked'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'test_monitor'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'test_subclass'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'test_itt'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_numba_integration'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_jit'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'test_schema_check'}, {'test_file': 'test_datapipe'}, {'test_file': 'test_autocast'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_tensorboard'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'test_linalg'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'test_futures'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'optim/test_optim'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'test_autograd'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_vulkan'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_reductions'}, {'test_file': 'test_shape_ops'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'test_type_info'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_numa_binding'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_accelerator'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'test_nn'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'test_function_schema'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'test_serialization'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'test_mkldnn'}, {'test_file': 'test_overrides'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'nn/test_init'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_type_promotion'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'test_dlpack'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_prims'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-d28479ca812a2e8ae63d.json is not a benchmark record, skipping
2025-08-14T22:02:25.6290050Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-08-14T22:02:25.6374140Z Prepare all required actions
2025-08-14T22:02:25.6374410Z Getting action download info
2025-08-14T22:02:25.7729140Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-08-14T22:02:25.7729590Z with:
2025-08-14T22:02:25.7729830Z   job_id: 48126518102
2025-08-14T22:02:25.7730260Z   job_name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T22:02:25.7730730Z   workflow_name: trunk
2025-08-14T22:02:25.7731050Z   workflow_run_id: 16976255045
2025-08-14T22:02:25.7731370Z   workflow_attempt: 1
2025-08-14T22:02:25.7731680Z   local_path: usage_log.txt
2025-08-14T22:02:25.7731980Z env:
2025-08-14T22:02:25.7732220Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:25.7732590Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:25.7732960Z   TEST_CONFIG: default
2025-08-14T22:02:25.7733250Z   SHARD_NUMBER: 1
2025-08-14T22:02:25.7733520Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:25.7733820Z   PR_BODY: 
2025-08-14T22:02:25.7734070Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:25.7734580Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:25.7735060Z   DEVICE_NAME: 
2025-08-14T22:02:25.7735310Z   DEVICE_TYPE: 
2025-08-14T22:02:25.7735570Z ##[endgroup]
2025-08-14T22:02:25.7755500Z ##[group]Run echo "workflow_id: 16976255045"
2025-08-14T22:02:25.7755910Z echo "workflow_id: 16976255045"
2025-08-14T22:02:25.7756310Z echo "workflow_attempt: 1"
2025-08-14T22:02:25.7756660Z echo "workflow_Name: trunk"
2025-08-14T22:02:25.7757020Z echo "job_id: 48126518102"
2025-08-14T22:02:25.7757540Z echo "job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)"
2025-08-14T22:02:25.7758070Z echo "artifact_prefix: "
2025-08-14T22:02:25.7758420Z python3 --version
2025-08-14T22:02:25.7779060Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:25.7779470Z env:
2025-08-14T22:02:25.7779720Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:25.7780060Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:25.7780410Z   TEST_CONFIG: default
2025-08-14T22:02:25.7780690Z   SHARD_NUMBER: 1
2025-08-14T22:02:25.7780960Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:25.7781220Z   PR_BODY: 
2025-08-14T22:02:25.7781460Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:25.7781930Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:25.7782380Z   DEVICE_NAME: 
2025-08-14T22:02:25.7782630Z   DEVICE_TYPE: 
2025-08-14T22:02:25.7782870Z ##[endgroup]
2025-08-14T22:02:25.8045910Z workflow_id: 16976255045
2025-08-14T22:02:25.8046260Z workflow_attempt: 1
2025-08-14T22:02:25.8046900Z workflow_Name: trunk
2025-08-14T22:02:25.8047280Z job_id: 48126518102
2025-08-14T22:02:25.8047580Z job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-08-14T22:02:25.8047950Z artifact_prefix: 
2025-08-14T22:02:25.8108580Z Python 3.12.11
2025-08-14T22:02:25.8147590Z ##[group]Run nick-fields/retry@v3.0.0
2025-08-14T22:02:25.8147840Z with:
2025-08-14T22:02:25.8148150Z   shell: bash
2025-08-14T22:02:25.8148320Z   timeout_minutes: 5
2025-08-14T22:02:25.8148500Z   max_attempts: 5
2025-08-14T22:02:25.8148660Z   retry_wait_seconds: 30
2025-08-14T22:02:25.8149070Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-08-14T22:02:25.8149480Z   polling_interval_seconds: 1
2025-08-14T22:02:25.8149680Z   warning_on_retry: true
2025-08-14T22:02:25.8149880Z   continue_on_error: false
2025-08-14T22:02:25.8150060Z env:
2025-08-14T22:02:25.8150230Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:25.8150450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:25.8150850Z   TEST_CONFIG: default
2025-08-14T22:02:25.8151040Z   SHARD_NUMBER: 1
2025-08-14T22:02:25.8151250Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:25.8151410Z   PR_BODY: 
2025-08-14T22:02:25.8151580Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:25.8151880Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:25.8152150Z   DEVICE_NAME: 
2025-08-14T22:02:25.8152610Z   DEVICE_TYPE: 
2025-08-14T22:02:25.8152780Z ##[endgroup]
2025-08-14T22:02:26.0787210Z Collecting python-dateutil==2.8.2
2025-08-14T22:02:26.0808160Z   Using cached python_dateutil-2.8.2-py2.py3-none-any.whl.metadata (8.2 kB)
2025-08-14T22:02:26.2122420Z Collecting boto3==1.35.42
2025-08-14T22:02:26.2145800Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-08-14T22:02:26.2745170Z Collecting pandas==2.1.3
2025-08-14T22:02:26.2766910Z   Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl.metadata (18 kB)
2025-08-14T22:02:26.3003760Z Collecting dataclasses_json==0.6.7
2025-08-14T22:02:26.3017850Z   Using cached dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
2025-08-14T22:02:26.3069510Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from python-dateutil==2.8.2) (1.17.0)
2025-08-14T22:02:26.3074800Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.42) (1.35.99)
2025-08-14T22:02:26.3077470Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.42) (1.0.1)
2025-08-14T22:02:26.3079550Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from boto3==1.35.42) (0.10.4)
2025-08-14T22:02:26.3086380Z Requirement already satisfied: numpy<2,>=1.26.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from pandas==2.1.3) (1.26.4)
2025-08-14T22:02:26.3311480Z Collecting pytz>=2020.1 (from pandas==2.1.3)
2025-08-14T22:02:26.3333260Z   Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
2025-08-14T22:02:26.3453230Z Collecting tzdata>=2022.1 (from pandas==2.1.3)
2025-08-14T22:02:26.3474580Z   Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
2025-08-14T22:02:26.3721940Z Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.7)
2025-08-14T22:02:26.3736440Z   Using cached marshmallow-3.26.1-py3-none-any.whl.metadata (7.3 kB)
2025-08-14T22:02:26.3850240Z Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7)
2025-08-14T22:02:26.3864810Z   Using cached typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)
2025-08-14T22:02:26.3919350Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.20)
2025-08-14T22:02:26.3928070Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-08-14T22:02:26.4031720Z Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-08-14T22:02:26.4045810Z   Using cached mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB)
2025-08-14T22:02:26.4079450Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-08-14T22:02:26.4131090Z Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-08-14T22:02:26.4166000Z Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-08-14T22:02:26.4190800Z Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl (10.6 MB)
2025-08-14T22:02:26.4493220Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-08-14T22:02:26.4516050Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-08-14T22:02:26.4533640Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-08-14T22:02:26.4553130Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-08-14T22:02:26.4574980Z Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
2025-08-14T22:02:26.4631210Z Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-08-14T22:02:26.5586330Z Installing collected packages: pytz, tzdata, python-dateutil, mypy-extensions, marshmallow, typing-inspect, pandas, dataclasses_json, boto3
2025-08-14T22:02:26.6945580Z   Attempting uninstall: python-dateutil
2025-08-14T22:02:26.6965680Z     Found existing installation: python-dateutil 2.9.0.post0
2025-08-14T22:02:26.6990240Z     Uninstalling python-dateutil-2.9.0.post0:
2025-08-14T22:02:26.6997460Z       Successfully uninstalled python-dateutil-2.9.0.post0
2025-08-14T22:02:29.2706650Z   Attempting uninstall: boto3
2025-08-14T22:02:29.2721760Z     Found existing installation: boto3 1.35.33
2025-08-14T22:02:29.2751900Z     Uninstalling boto3-1.35.33:
2025-08-14T22:02:29.2766140Z       Successfully uninstalled boto3-1.35.33
2025-08-14T22:02:29.3174170Z 
2025-08-14T22:02:29.3213770Z Successfully installed boto3-1.35.42 dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 typing-inspect-0.9.0 tzdata-2025.2
2025-08-14T22:02:29.3236580Z 
2025-08-14T22:02:29.3236830Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-08-14T22:02:29.3237170Z [notice] To update, run: pip install --upgrade pip
2025-08-14T22:02:29.8932180Z Command completed after 1 attempt(s).
2025-08-14T22:02:29.9086380Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:02:29.9088350Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-08-14T22:02:29.9089800Z   --workflow-run-id "16976255045" \
2025-08-14T22:02:29.9090860Z   --workflow-name "trunk" \
2025-08-14T22:02:29.9091820Z   --workflow-run-attempt "1" \
2025-08-14T22:02:29.9092740Z   --job-id "48126518102" \
2025-08-14T22:02:29.9093980Z   --job-name "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)" \
2025-08-14T22:02:29.9095410Z   --local-path "usage_log.txt" \
2025-08-14T22:02:29.9096330Z   --artifact-prefix ""
2025-08-14T22:02:29.9143040Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:02:29.9143860Z env:
2025-08-14T22:02:29.9144350Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:29.9144990Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:29.9145660Z   TEST_CONFIG: default
2025-08-14T22:02:29.9146140Z   SHARD_NUMBER: 1
2025-08-14T22:02:29.9146620Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:29.9147110Z   PR_BODY: 
2025-08-14T22:02:29.9147630Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:29.9148380Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:29.9149900Z   DEVICE_NAME: 
2025-08-14T22:02:29.9150330Z   DEVICE_TYPE: 
2025-08-14T22:02:29.9150750Z ##[endgroup]
2025-08-14T22:02:32.1928200Z repo: pytorch/pytorch
2025-08-14T22:02:32.1928590Z ::warning file usage_log.txt does not exist.
2025-08-14T22:02:32.1928890Z [Log Model] Failed to process test log, metadata is None
2025-08-14T22:02:32.2332850Z ##[group]Run if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-08-14T22:02:32.2333190Z if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-08-14T22:02:32.2333450Z     brew install --cask miniconda
2025-08-14T22:02:32.2333650Z fi
2025-08-14T22:02:32.2345280Z shell: /bin/bash -e -l {0}
2025-08-14T22:02:32.2345470Z env:
2025-08-14T22:02:32.2345610Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:02:32.2345810Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:02:32.2346040Z   TEST_CONFIG: default
2025-08-14T22:02:32.2346200Z   SHARD_NUMBER: 1
2025-08-14T22:02:32.2346360Z   NUM_TEST_SHARDS: 3
2025-08-14T22:02:32.2346520Z   PR_BODY: 
2025-08-14T22:02:32.2346670Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:02:32.2346950Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:02:32.2347240Z   DEVICE_NAME: 
2025-08-14T22:02:32.2347390Z   DEVICE_TYPE: 
2025-08-14T22:02:32.2347700Z ##[endgroup]
2025-08-14T22:02:33.7684340Z ==> Caveats
2025-08-14T22:02:33.7684690Z Please run the following to setup your shell:
2025-08-14T22:02:33.7684950Z   conda init "$(basename "${SHELL}")"
2025-08-14T22:02:33.7685110Z 
2025-08-14T22:02:33.7685260Z Alternatively, manually add the following to your shell init:
2025-08-14T22:02:33.7685590Z   eval "$(conda "shell.$(basename "${SHELL}")" hook)"
2025-08-14T22:02:33.7685770Z 
2025-08-14T22:02:33.7695710Z ==> Downloading https://repo.anaconda.com/miniconda/Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-08-14T22:02:33.9279390Z Already downloaded: /Users/ec2-user/Library/Caches/Homebrew/downloads/ac2aa7a8e15821b957e5b3521679e86c83c3f0dc738ab629ded756f0b301d2c7--Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh
2025-08-14T22:02:36.0640380Z ==> Installing Cask miniconda
2025-08-14T22:02:36.2942510Z ==> Running installer script 'Miniconda3-py313_25.5.1-1-MacOSX-arm64.sh'
2025-08-14T22:02:37.2835090Z PREFIX=/opt/homebrew/Caskroom/miniconda/base
2025-08-14T22:02:37.6680430Z Unpacking payload ...
2025-08-14T22:02:40.1537140Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-08-14T22:02:42.4695680Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-08-14T22:02:48.9927950Z 
2025-08-14T22:02:48.9929480Z Installing base environment...
2025-08-14T22:02:48.9929700Z 
2025-08-14T22:02:53.2934980Z Preparing transaction: ...working... done
2025-08-14T22:03:04.5590310Z Executing transaction: ...working... 
2025-08-14T22:03:04.5590610Z done
2025-08-14T22:03:06.7466150Z entry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.
2025-08-14T22:03:06.9159370Z installation finished.
2025-08-14T22:03:06.9168190Z ==> Linking Binary 'conda' to '/opt/homebrew/bin/conda'
2025-08-14T22:03:07.0508240Z 🍺  miniconda was successfully installed!
2025-08-14T22:03:07.0753050Z ==> No outdated dependents to upgrade!
2025-08-14T22:03:07.0877710Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-08-14T22:03:07.0878020Z with:
2025-08-14T22:03:07.0878200Z   minimum-available-space-in-gb: 6
2025-08-14T22:03:07.0878420Z env:
2025-08-14T22:03:07.0878580Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:03:07.0878800Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:03:07.0879020Z   TEST_CONFIG: default
2025-08-14T22:03:07.0879290Z   SHARD_NUMBER: 1
2025-08-14T22:03:07.0879460Z   NUM_TEST_SHARDS: 3
2025-08-14T22:03:07.0879640Z   PR_BODY: 
2025-08-14T22:03:07.0879800Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:03:07.0880100Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:03:07.0880380Z   DEVICE_NAME: 
2025-08-14T22:03:07.0880580Z   DEVICE_TYPE: 
2025-08-14T22:03:07.0880740Z ##[endgroup]
2025-08-14T22:03:07.0892020Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-08-14T22:03:07.0892460Z echo "Print the available disk space for manual inspection"
2025-08-14T22:03:07.0892730Z df -h
2025-08-14T22:03:07.0892880Z 
2025-08-14T22:03:07.0893070Z function check_disk_space() {
2025-08-14T22:03:07.0893270Z   set +e
2025-08-14T22:03:07.0893430Z 
2025-08-14T22:03:07.0893600Z   # Set the minimum requirement space to 6GB
2025-08-14T22:03:07.0893950Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-08-14T22:03:07.0894280Z 
2025-08-14T22:03:07.0894480Z   # Use KB to avoid floating point warning like 3.1GB
2025-08-14T22:03:07.0894780Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-08-14T22:03:07.0895030Z   do
2025-08-14T22:03:07.0895350Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-08-14T22:03:07.0895630Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-08-14T22:03:07.0895860Z 
2025-08-14T22:03:07.0896020Z     if [ "${MOUNT}" = "/" ]; then
2025-08-14T22:03:07.0896300Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-08-14T22:03:07.0896870Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-08-14T22:03:07.0897350Z       else
2025-08-14T22:03:07.0897650Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-08-14T22:03:07.0897980Z       fi
2025-08-14T22:03:07.0898150Z     fi
2025-08-14T22:03:07.0898310Z   done
2025-08-14T22:03:07.0898470Z 
2025-08-14T22:03:07.0898630Z   set -e
2025-08-14T22:03:07.0898780Z }
2025-08-14T22:03:07.0898920Z 
2025-08-14T22:03:07.0899070Z RESULT=$(check_disk_space)
2025-08-14T22:03:07.0899270Z echo "${RESULT}"
2025-08-14T22:03:07.0899450Z 
2025-08-14T22:03:07.0899690Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-08-14T22:03:07.0900210Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-08-14T22:03:07.0900700Z   # https://github.com/pytorch/pytorch/issues/85440
2025-08-14T22:03:07.0901100Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-08-14T22:03:07.0901620Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-08-14T22:03:07.0902110Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-08-14T22:03:07.0902380Z 
2025-08-14T22:03:07.0902540Z   # Clean up crash reports on the runner
2025-08-14T22:03:07.0902890Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-08-14T22:03:07.0903180Z 
2025-08-14T22:03:07.0903610Z   # Also try to clean up torch.hub caching directory
2025-08-14T22:03:07.0903900Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-08-14T22:03:07.0904130Z 
2025-08-14T22:03:07.0904270Z   # Purge conda
2025-08-14T22:03:07.0904470Z   conda clean -p -t -y || true
2025-08-14T22:03:07.0904680Z   # and pip cache
2025-08-14T22:03:07.0904910Z   pip cache purge || true
2025-08-14T22:03:07.0905100Z 
2025-08-14T22:03:07.0905340Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-08-14T22:03:07.0905610Z   # Re-run the check
2025-08-14T22:03:07.0905810Z   RESULT=$(check_disk_space)
2025-08-14T22:03:07.0906090Z   echo "${RESULT}"
2025-08-14T22:03:07.0906260Z fi
2025-08-14T22:03:07.0906410Z 
2025-08-14T22:03:07.0906580Z if [[ "${RESULT}" == *Failure* ]]; then
2025-08-14T22:03:07.0906790Z   df -h
2025-08-14T22:03:07.0906950Z 
2025-08-14T22:03:07.0907390Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-08-14T22:03:07.0907860Z   exit 1
2025-08-14T22:03:07.0908010Z fi
2025-08-14T22:03:07.0937800Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:03:07.0938030Z env:
2025-08-14T22:03:07.0938170Z   GIT_DEFAULT_BRANCH: main
2025-08-14T22:03:07.0938360Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-08-14T22:03:07.0938550Z   TEST_CONFIG: default
2025-08-14T22:03:07.0938710Z   SHARD_NUMBER: 1
2025-08-14T22:03:07.0938850Z   NUM_TEST_SHARDS: 3
2025-08-14T22:03:07.0938990Z   PR_BODY: 
2025-08-14T22:03:07.0939130Z   REINSTALL_BREW_MINICONDA: 1
2025-08-14T22:03:07.0939420Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:03:07.0939690Z   DEVICE_NAME: 
2025-08-14T22:03:07.0939830Z   DEVICE_TYPE: 
2025-08-14T22:03:07.0940010Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-08-14T22:03:07.0940230Z ##[endgroup]
2025-08-14T22:03:07.1148490Z Print the available disk space for manual inspection
2025-08-14T22:03:07.1162240Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-14T22:03:07.1162670Z /dev/disk5s2s1   256Gi   9.5Gi   192Gi     5%    404k  2.0G    0%   /
2025-08-14T22:03:07.1163030Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-14T22:03:07.1163390Z /dev/disk5s5     256Gi   1.0Gi   192Gi     1%       1  2.0G    0%   /System/Volumes/VM
2025-08-14T22:03:07.1163810Z /dev/disk5s3     256Gi   5.7Gi   192Gi     3%    1.0k  2.0G    0%   /System/Volumes/Preboot
2025-08-14T22:03:07.1164260Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-14T22:03:07.1164760Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-14T22:03:07.1165240Z /dev/disk1s3     500Mi   892Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-14T22:03:07.1165650Z /dev/disk5s1     256Gi    47Gi   192Gi    20%    1.6M  2.0G    0%   /System/Volumes/Data
2025-08-14T22:03:07.1177500Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-14T22:03:07.1177990Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-ri8fYn
2025-08-14T22:03:07.1559420Z Success: There is 201277696KB free space left in / for macOS, continue
2025-08-14T22:03:07.1608910Z Post job cleanup.
2025-08-14T22:03:07.1984950Z Removing virtual environment at /Users/ec2-user/runner/_work/_temp/venv-3.12-1755204920
2025-08-14T22:03:11.4353840Z Post job cleanup.
2025-08-14T22:03:11.4403250Z Post job cleanup.
2025-08-14T22:03:11.5206010Z [command]/usr/bin/git version
2025-08-14T22:03:11.5284260Z git version 2.39.3 (Apple Git-146)
2025-08-14T22:03:11.5303590Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/fdd51bfd-585c-4549-ba65-a83a8b4774a8/.gitconfig'
2025-08-14T22:03:11.5309690Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/fdd51bfd-585c-4549-ba65-a83a8b4774a8' before making global git config changes
2025-08-14T22:03:11.5310310Z Adding repository directory to the temporary git global config as a safe directory
2025-08-14T22:03:11.5312380Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-08-14T22:03:11.5380520Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-08-14T22:03:11.5440390Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-08-14T22:03:11.6018810Z Entering 'android/libs/fbjni'
2025-08-14T22:03:11.6136090Z Entering 'third_party/FP16'
2025-08-14T22:03:11.6245870Z Entering 'third_party/FXdiv'
2025-08-14T22:03:11.6352640Z Entering 'third_party/NNPACK'
2025-08-14T22:03:11.6476470Z Entering 'third_party/NVTX'
2025-08-14T22:03:11.6577740Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:03:11.6677580Z Entering 'third_party/XNNPACK'
2025-08-14T22:03:11.6901030Z Entering 'third_party/aiter'
2025-08-14T22:03:11.7001010Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:03:11.7104060Z Entering 'third_party/benchmark'
2025-08-14T22:03:11.7217220Z Entering 'third_party/composable_kernel'
2025-08-14T22:03:11.7320680Z Entering 'third_party/cpp-httplib'
2025-08-14T22:03:11.7422990Z Entering 'third_party/cpuinfo'
2025-08-14T22:03:11.7549980Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:03:11.7649980Z Entering 'third_party/cutlass'
2025-08-14T22:03:11.7752930Z Entering 'third_party/fbgemm'
2025-08-14T22:03:11.7949050Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:03:11.8096190Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:03:11.8321540Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:03:11.8486770Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:03:11.8701600Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:03:11.8849020Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:03:11.8980490Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:03:11.9139850Z Entering 'third_party/flash-attention'
2025-08-14T22:03:11.9251250Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:03:11.9352260Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:03:11.9454810Z Entering 'third_party/flatbuffers'
2025-08-14T22:03:11.9556530Z Entering 'third_party/fmt'
2025-08-14T22:03:11.9669160Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:03:11.9777940Z Entering 'third_party/gloo'
2025-08-14T22:03:11.9892270Z Entering 'third_party/googletest'
2025-08-14T22:03:12.0010740Z Entering 'third_party/ideep'
2025-08-14T22:03:12.0132900Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:03:12.0331660Z Entering 'third_party/ittapi'
2025-08-14T22:03:12.0432580Z Entering 'third_party/kineto'
2025-08-14T22:03:12.0530990Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:03:12.0628690Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:03:12.0729010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:03:12.0827730Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:03:12.0928530Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:03:12.1026120Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:03:12.1138980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:03:12.1228150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:03:12.1327590Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:03:12.1427270Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:03:12.1528520Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:03:12.1626710Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:03:12.1727970Z Entering 'third_party/kleidiai'
2025-08-14T22:03:12.1829080Z Entering 'third_party/mimalloc'
2025-08-14T22:03:12.1928940Z Entering 'third_party/nlohmann'
2025-08-14T22:03:12.2029730Z Entering 'third_party/onnx'
2025-08-14T22:03:12.2280590Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:03:12.2424930Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:03:12.2525570Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:03:12.2624520Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:03:12.2723540Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:03:12.2822000Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:03:12.2921810Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:03:12.3021490Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:03:12.3120240Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:03:12.3218030Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:03:12.3316730Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:03:12.3417860Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:03:12.3526660Z Entering 'third_party/pocketfft'
2025-08-14T22:03:12.3628200Z Entering 'third_party/protobuf'
2025-08-14T22:03:12.3822700Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:03:12.3960780Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:03:12.4090200Z Entering 'third_party/psimd'
2025-08-14T22:03:12.4198630Z Entering 'third_party/pthreadpool'
2025-08-14T22:03:12.4305960Z Entering 'third_party/pybind11'
2025-08-14T22:03:12.4419610Z Entering 'third_party/python-peachpy'
2025-08-14T22:03:12.4527200Z Entering 'third_party/sleef'
2025-08-14T22:03:12.4642160Z Entering 'third_party/tensorpipe'
2025-08-14T22:03:12.4793790Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:03:12.4943780Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:03:12.5081950Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:03:12.5234120Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:03:12.5394450Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:03:12.5524200Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-08-14T22:03:12.5580240Z http.https://github.com/.extraheader
2025-08-14T22:03:12.5587200Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-08-14T22:03:12.5646800Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-08-14T22:03:12.6138050Z Entering 'android/libs/fbjni'
2025-08-14T22:03:12.6208000Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6274310Z Entering 'third_party/FP16'
2025-08-14T22:03:12.6340010Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6406360Z Entering 'third_party/FXdiv'
2025-08-14T22:03:12.6472690Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6538160Z Entering 'third_party/NNPACK'
2025-08-14T22:03:12.6604560Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6669610Z Entering 'third_party/NVTX'
2025-08-14T22:03:12.6735000Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6801370Z Entering 'third_party/VulkanMemoryAllocator'
2025-08-14T22:03:12.6867050Z http.https://github.com/.extraheader
2025-08-14T22:03:12.6932680Z Entering 'third_party/XNNPACK'
2025-08-14T22:03:12.6998010Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7068240Z Entering 'third_party/aiter'
2025-08-14T22:03:12.7135410Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7200030Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-08-14T22:03:12.7266660Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7337000Z Entering 'third_party/benchmark'
2025-08-14T22:03:12.7404240Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7470210Z Entering 'third_party/composable_kernel'
2025-08-14T22:03:12.7535300Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7604040Z Entering 'third_party/cpp-httplib'
2025-08-14T22:03:12.7670790Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7736490Z Entering 'third_party/cpuinfo'
2025-08-14T22:03:12.7802500Z http.https://github.com/.extraheader
2025-08-14T22:03:12.7874820Z Entering 'third_party/cudnn_frontend'
2025-08-14T22:03:12.7941310Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8007090Z Entering 'third_party/cutlass'
2025-08-14T22:03:12.8073230Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8141950Z Entering 'third_party/fbgemm'
2025-08-14T22:03:12.8208660Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8274240Z Entering 'third_party/fbgemm/external/asmjit'
2025-08-14T22:03:12.8339590Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8412030Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-08-14T22:03:12.8477540Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8545210Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-08-14T22:03:12.8610920Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8676440Z Entering 'third_party/fbgemm/external/cutlass'
2025-08-14T22:03:12.8741740Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8817560Z Entering 'third_party/fbgemm/external/googletest'
2025-08-14T22:03:12.8884200Z http.https://github.com/.extraheader
2025-08-14T22:03:12.8949580Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-08-14T22:03:12.9014950Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9079770Z Entering 'third_party/fbgemm/external/json'
2025-08-14T22:03:12.9145060Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9212280Z Entering 'third_party/flash-attention'
2025-08-14T22:03:12.9279270Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9344590Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-08-14T22:03:12.9410850Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9478720Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-08-14T22:03:12.9544810Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9615570Z Entering 'third_party/flatbuffers'
2025-08-14T22:03:12.9686930Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9753450Z Entering 'third_party/fmt'
2025-08-14T22:03:12.9819840Z http.https://github.com/.extraheader
2025-08-14T22:03:12.9885590Z Entering 'third_party/gemmlowp/gemmlowp'
2025-08-14T22:03:12.9952450Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0018250Z Entering 'third_party/gloo'
2025-08-14T22:03:13.0084680Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0150010Z Entering 'third_party/googletest'
2025-08-14T22:03:13.0216100Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0281690Z Entering 'third_party/ideep'
2025-08-14T22:03:13.0347820Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0410750Z Entering 'third_party/ideep/mkl-dnn'
2025-08-14T22:03:13.0475900Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0545280Z Entering 'third_party/ittapi'
2025-08-14T22:03:13.0612130Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0677920Z Entering 'third_party/kineto'
2025-08-14T22:03:13.0743700Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0809700Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-08-14T22:03:13.0875240Z http.https://github.com/.extraheader
2025-08-14T22:03:13.0940040Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-08-14T22:03:13.1005540Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1072570Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-08-14T22:03:13.1138350Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1204620Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-08-14T22:03:13.1269880Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1335970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-08-14T22:03:13.1402300Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1466400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-08-14T22:03:13.1533930Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1707270Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-08-14T22:03:13.1780520Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1855010Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-08-14T22:03:13.1921000Z http.https://github.com/.extraheader
2025-08-14T22:03:13.1987270Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-08-14T22:03:13.2053330Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2119940Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-08-14T22:03:13.2185920Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2254790Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-08-14T22:03:13.2321080Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2386650Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-08-14T22:03:13.2452440Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2520270Z Entering 'third_party/kleidiai'
2025-08-14T22:03:13.2587120Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2652760Z Entering 'third_party/mimalloc'
2025-08-14T22:03:13.2721350Z http.https://github.com/.extraheader
2025-08-14T22:03:13.2917600Z Entering 'third_party/nlohmann'
2025-08-14T22:03:13.2982230Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3070910Z Entering 'third_party/onnx'
2025-08-14T22:03:13.3135410Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3204870Z Entering 'third_party/onnx/third_party/pybind11'
2025-08-14T22:03:13.3273500Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3342320Z Entering 'third_party/opentelemetry-cpp'
2025-08-14T22:03:13.3410660Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3476260Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-08-14T22:03:13.3542320Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3609000Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-08-14T22:03:13.3675230Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3742020Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-08-14T22:03:13.3808810Z http.https://github.com/.extraheader
2025-08-14T22:03:13.3874820Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-08-14T22:03:13.3942550Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4009330Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-08-14T22:03:13.4078060Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4145290Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-08-14T22:03:13.4211590Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4295650Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-08-14T22:03:13.4381720Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4467970Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-08-14T22:03:13.4557640Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4646520Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-08-14T22:03:13.4721610Z http.https://github.com/.extraheader
2025-08-14T22:03:13.4804390Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-08-14T22:03:13.4876250Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5011240Z Entering 'third_party/pocketfft'
2025-08-14T22:03:13.5086620Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5169870Z Entering 'third_party/protobuf'
2025-08-14T22:03:13.5237510Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5304930Z Entering 'third_party/protobuf/third_party/benchmark'
2025-08-14T22:03:13.5372370Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5437760Z Entering 'third_party/protobuf/third_party/googletest'
2025-08-14T22:03:13.5503970Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5570870Z Entering 'third_party/psimd'
2025-08-14T22:03:13.5636700Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5701720Z Entering 'third_party/pthreadpool'
2025-08-14T22:03:13.5766510Z http.https://github.com/.extraheader
2025-08-14T22:03:13.5838230Z Entering 'third_party/pybind11'
2025-08-14T22:03:13.5909120Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6026770Z Entering 'third_party/python-peachpy'
2025-08-14T22:03:13.6094800Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6159820Z Entering 'third_party/sleef'
2025-08-14T22:03:13.6224730Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6296400Z Entering 'third_party/tensorpipe'
2025-08-14T22:03:13.6360900Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6423720Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-08-14T22:03:13.6487570Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6551790Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-08-14T22:03:13.6616020Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6681020Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-08-14T22:03:13.6744820Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6828840Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-08-14T22:03:13.6892580Z http.https://github.com/.extraheader
2025-08-14T22:03:13.6956310Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-08-14T22:03:13.7020240Z http.https://github.com/.extraheader
2025-08-14T22:03:13.7144040Z A job completed hook has been configured by the self-hosted runner administrator
2025-08-14T22:03:13.7178850Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2025-08-14T22:03:13.7190520Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-08-14T22:03:13.7190750Z ##[endgroup]
2025-08-14T22:03:13.7454820Z + df -h
2025-08-14T22:03:13.7474080Z + ls -t /var/log/post_job
2025-08-14T22:03:13.7474630Z + awk 'NR>100'
2025-08-14T22:03:13.7474950Z + xargs rm -fv
2025-08-14T22:03:13.7477850Z + Checking if runner needs to be terminated...ok
2025-08-14T22:03:13.7478170Z + Outputting disk space
2025-08-14T22:03:13.7478510Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-08-14T22:03:13.7478950Z /dev/disk5s2s1   256Gi   9.5Gi   193Gi     5%    404k  2.0G    0%   /
2025-08-14T22:03:13.7479310Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-08-14T22:03:13.7479730Z /dev/disk5s5     256Gi   1.0Gi   193Gi     1%       1  2.0G    0%   /System/Volumes/VM
2025-08-14T22:03:13.7480160Z /dev/disk5s3     256Gi   5.7Gi   193Gi     3%    1.0k  2.0G    0%   /System/Volumes/Preboot
2025-08-14T22:03:13.7480580Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-08-14T22:03:13.7481020Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-08-14T22:03:13.7481450Z /dev/disk1s3     500Mi   892Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-08-14T22:03:13.7481880Z /dev/disk5s1     256Gi    45Gi   193Gi    20%    1.6M  2.0G    0%   /System/Volumes/Data
2025-08-14T22:03:13.7482280Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-08-14T22:03:13.7482730Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-ri8fYn
2025-08-14T22:03:13.7483100Z + Cleaning up old logs (Keep the latest 100)
2025-08-14T22:03:14.0136140Z + Restoring SSH key to be the skeleton key
2025-08-14T22:03:14.0226530Z Cleaning up orphan processes